Tag Archives: wd

Nazis, are bad

Post Syndicated from Eevee original https://eev.ee/blog/2017/08/13/nazis-are-bad/

Anonymous asks:

Could you talk about something related to the management/moderation and growth of online communities? IOW your thoughts on online community management, if any.

I think you’ve tweeted about this stuff in the past so I suspect you have thoughts on this, but if not, again, feel free to just blog about … anything 🙂

Oh, I think I have some stuff to say about community management, in light of recent events. None of it hasn’t already been said elsewhere, but I have to get this out.

Hopefully the content warning is implicit in the title.

I am frustrated.

I’ve gone on before about a particularly bothersome phenomenon that hurts a lot of small online communities: often, people are willing to tolerate the misery of others in a community, but then get up in arms when someone pushes back. Someone makes a lot of off-hand, off-color comments about women? Uses a lot of dog-whistle terms? Eh, they’re not bothering anyone, or at least not bothering me. Someone else gets tired of it and tells them to knock it off? Whoa there! Now we have the appearance of conflict, which is unacceptable, and people will turn on the person who’s pissed off — even though they’ve been at the butt end of an invisible conflict for who knows how long. The appearance of peace is paramount, even if it means a large chunk of the population is quietly miserable.

Okay, so now, imagine that on a vastly larger scale, and also those annoying people who know how to skirt the rules are Nazis.

The label “Nazi” gets thrown around a lot lately, probably far too easily. But when I see a group of people doing the Hitler salute, waving large Nazi flags, wearing Nazi armbands styled after the SS, well… if the shoe fits, right? I suppose they might have flown across the country to join a torch-bearing mob ironically, but if so, the joke is going way over my head. (Was the murder ironic, too?) Maybe they’re not Nazis in the sense that the original party doesn’t exist any more, but for ease of writing, let’s refer to “someone who espouses Nazi ideology and deliberately bears a number of Nazi symbols” as, well, “a Nazi”.

This isn’t a new thing, either; I’ve stumbled upon any number of Twitter accounts that are decorated in Nazi regalia. I suppose the trouble arises when perfectly innocent members of the alt-right get unfairly labelled as Nazis.

But hang on; this march was called “Unite the Right” and was intended to bring together various far right sub-groups. So what does their choice of aesthetic say about those sub-groups? I haven’t heard, say, alt-right coiner Richard Spencer denounce the use of Nazi symbology — extra notable since he was fucking there and apparently didn’t care to discourage it.

And so begins the rule-skirting. “Nazi” is definitely overused, but even using it to describe white supremacists who make not-so-subtle nods to Hitler is likely to earn you some sarcastic derailment. A Nazi? Oh, so is everyone you don’t like and who wants to establish a white ethno state a Nazi?

Calling someone a Nazi — or even a white supremacist — is an attack, you see. Merely expressing the desire that people of color not exist is perfectly peaceful, but identifying the sentiment for what it is causes visible discord, which is unacceptable.

These clowns even know this sort of thing and strategize around it. Or, try, at least. Maybe it wasn’t that successful this weekend — though flicking through Charlottesville headlines now, they seem to be relatively tame in how they refer to the ralliers.

I’m reminded of a group of furries — the alt-furries — who have been espousing white supremacy and wearing red armbands with a white circle containing a black… pawprint. Ah, yes, that’s completely different.

So, what to do about this?

Ignore them” is a popular option, often espoused to bullied children by parents who have never been bullied, shortly before they resume complaining about passive-aggressive office politics. The trouble with ignoring them is that, just like in smaller communitiest, they have a tendency to fester. They take over large chunks of influential Internet surface area like 4chan and Reddit; they help get an inept buffoon elected; and then they start to have torch-bearing rallies and run people over with cars.

4chan illustrates a kind of corollary here. Anyone who’s steeped in Internet Culture™ is surely familiar with 4chan; I was never a regular visitor, but it had enough influence that I was still aware of it and some of its culture. It was always thick with irony, which grew into a sort of ironic detachment — perhaps one of the major sources of the recurring online trope that having feelings is bad — which proceeded into ironic racism.

And now the ironic racism is indistinguishable from actual racism, as tends to be the case. Do they “actually” “mean it”, or are they just trying to get a rise out of people? What the hell is unironic racism if not trying to get a rise out of people? What difference is there to onlookers, especially as they move to become increasingly involved with politics?

It’s just a joke” and “it was just a thoughtless comment” are exceptionally common defenses made by people desperate to preserve the illusion of harmony, but the strain of overt white supremacy currently running rampant through the US was built on those excuses.

The other favored option is to debate them, to defeat their ideas with better ideas.

Well, hang on. What are their ideas, again? I hear they were chanting stuff like “go back to Africa” and “fuck you, faggots”. Given that this was an overtly political rally (and again, the Nazi fucking regalia), I don’t think it’s a far cry to describe their ideas as “let’s get rid of black people and queer folks”.

This is an underlying proposition: that white supremacy is inherently violent. After all, if the alt-right seized total political power, what would they do with it? If I asked the same question of Democrats or Republicans, I’d imagine answers like “universal health care” or “screw over poor people”. But people whose primary goal is to have a country full of only white folks? What are they going to do, politely ask everyone else to leave? They’re invoking the memory of people who committed genocide and also tried to take over the fucking world. They are outright saying, these are the people we look up to, this is who we think had a great idea.

How, precisely, does one defeat these ideas with rational debate?

Because the underlying core philosophy beneath all this is: “it would be good for me if everything were about me”. And that’s true! (Well, it probably wouldn’t work out how they imagine in practice, but it’s true enough.) Consider that slavery is probably fantastic if you’re the one with the slaves; the issue is that it’s reprehensible, not that the very notion contains some kind of 101-level logical fallacy. That’s probably why we had a fucking war over it instead of hashing it out over brunch.

…except we did hash it out over brunch once, and the result was that slavery was still allowed but slaves only counted as 60% of a person for the sake of counting how much political power states got. So that’s how rational debate worked out. I’m sure the slaves were thrilled with that progress.

That really only leaves pushing back, which raises the question of how to push back.

And, I don’t know. Pushing back is much harder in spaces you don’t control, spaces you’re already struggling to justify your own presence in. For most people, that’s most spaces. It’s made all the harder by that tendency to preserve illusory peace; even the tamest request that someone knock off some odious behavior can be met by pushback, even by third parties.

At the same time, I’m aware that white supremacists prey on disillusioned young white dudes who feel like they don’t fit in, who were promised the world and inherited kind of a mess. Does criticism drive them further away? The alt-right also opposes “political correctness”, i.e. “not being a fucking asshole”.

God knows we all suck at this kind of behavior correction, even within our own in-groups. Fandoms have become almost ridiculously vicious as platforms like Twitter and Tumblr amplify individual anger to deafening levels. It probably doesn’t help that we’re all just exhausted, that every new fuck-up feels like it bears the same weight as the last hundred combined.

This is the part where I admit I don’t know anything about people and don’t have any easy answers. Surprise!

The other alternative is, well, punching Nazis.

That meme kind of haunts me. It raises really fucking complicated questions about when violence is acceptable, in a culture that’s completely incapable of answering them.

America’s relationship to violence is so bizarre and two-faced as to be almost incomprehensible. We worship it. We have the biggest military in the world by an almost comical margin. It’s fairly mainstream to own deadly weapons for the express stated purpose of armed revolution against the government, should that become necessary, where “necessary” is left ominously undefined. Our movies are about explosions and beating up bad guys; our video games are about explosions and shooting bad guys. We fantasize about solving foreign policy problems by nuking someone — hell, our talking heads are currently in polite discussion about whether we should nuke North Korea and annihilate up to twenty-five million people, as punishment for daring to have the bomb that only we’re allowed to have.

But… violence is bad.

That’s about as far as the other side of the coin gets. It’s bad. We condemn it in the strongest possible terms. Also, guess who we bombed today?

I observe that the one time Nazis were a serious threat, America was happy to let them try to take over the world until their allies finally showed up on our back porch.

Maybe I don’t understand what “violence” means. In a quest to find out why people are talking about “leftist violence” lately, I found a National Review article from May that twice suggests blocking traffic is a form of violence. Anarchists have smashed some windows and set a couple fires at protests this year — and, hey, please knock that crap off? — which is called violence against, I guess, Starbucks. Black Lives Matter could be throwing a birthday party and Twitter would still be abuzz with people calling them thugs.

Meanwhile, there’s a trend of murderers with increasingly overt links to the alt-right, and everyone is still handling them with kid gloves. First it was murders by people repeating their talking points; now it’s the culmination of a torches-and-pitchforks mob. (Ah, sorry, not pitchforks; assault rifles.) And we still get this incredibly bizarre both-sides-ism, a White House that refers to the people who didn’t murder anyone as “just as violent if not more so“.

Should you punch Nazis? I don’t know. All I know is that I’m extremely dissatisfied with discourse that’s extremely alarmed by hypothetical punches — far more mundane than what you’d see after a sporting event — but treats a push for ethnic cleansing as a mere difference of opinion.

The equivalent to a punch in an online space is probably banning, which is almost laughable in comparison. It doesn’t cause physical harm, but it is a use of concrete force. Doesn’t pose quite the same moral quandary, though.

Somewhere in the middle is the currently popular pastime of doxxing (doxxxxxxing) people spotted at the rally in an attempt to get them fired or whatever. Frankly, that skeeves me out, though apparently not enough that I’m directly chastizing anyone for it.

We aren’t really equipped, as a society, to deal with memetic threats. We aren’t even equipped to determine what they are. We had a fucking world war over this, and now people are outright saying “hey I’m like those people we went and killed a lot in that world war” and we give them interviews and compliment their fashion sense.

A looming question is always, what if they then do it to you? What if people try to get you fired, to punch you for your beliefs?

I think about that a lot, and then I remember that it’s perfectly legal to fire someone for being gay in half the country. (Courts are currently wrangling whether Title VII forbids this, but with the current administration, I’m not optimistic.) I know people who’ve been fired for coming out as trans. I doubt I’d have to look very far to find someone who’s been punched for either reason.

And these aren’t even beliefs; they’re just properties of a person. You can stop being a white supremacist, one of those people yelling “fuck you, faggots”.

So I have to recuse myself from this asinine question, because I can’t fairly judge the risk of retaliation when it already happens to people I care about.

Meanwhile, if a white supremacist does get punched, I absolutely still want my tax dollars to pay for their universal healthcare.

The same wrinkle comes up with free speech, which is paramount.

The ACLU reminds us that the First Amendment “protects vile, hateful, and ignorant speech”. I think they’ve forgotten that that’s a side effect, not the goal. No one sat down and suggested that protecting vile speech was some kind of noble cause, yet that’s how we seem to be treating it.

The point was to avoid a situation where the government is arbitrarily deciding what qualifies as vile, hateful, and ignorant, and was using that power to eliminate ideas distasteful to politicians. You know, like, hypothetically, if they interrogated and jailed a bunch of people for supporting the wrong economic system. Or convicted someone under the Espionage Act for opposing the draft. (Hey, that’s where the “shouting fire in a crowded theater” line comes from.)

But these are ideas that are already in the government. Bannon, a man who was chair of a news organization he himself called “the platform for the alt-right”, has the President’s ear! How much more mainstream can you get?

So again I’m having a little trouble balancing “we need to defend the free speech of white supremacists or risk losing it for everyone” against “we fairly recently were ferreting out communists and the lingering public perception is that communists are scary, not that the government is”.

This isn’t to say that freedom of speech is bad, only that the way we talk about it has become fanatical to the point of absurdity. We love it so much that we turn around and try to apply it to corporations, to platforms, to communities, to interpersonal relationships.

Look at 4chan. It’s completely public and anonymous; you only get banned for putting the functioning of the site itself in jeopardy. Nothing is stopping a larger group of people from joining its politics board and tilting sentiment the other way — except that the current population is so odious that no one wants to be around them. Everyone else has evaporated away, as tends to happen.

Free speech is great for a government, to prevent quashing politics that threaten the status quo (except it’s a joke and they’ll do it anyway). People can’t very readily just bail when the government doesn’t like them, anyway. It’s also nice to keep in mind to some degree for ubiquitous platforms. But the smaller you go, the easier it is for people to evaporate away, and the faster pure free speech will turn the place to crap. You’ll be left only with people who care about nothing.

At the very least, it seems clear that the goal of white supremacists is some form of destabilization, of disruption to the fabric of a community for purely selfish purposes. And those are the kinds of people you want to get rid of as quickly as possible.

Usually this is hard, because they act just nicely enough to create some plausible deniability. But damn, if someone is outright telling you they love Hitler, maybe skip the principled hand-wringing and eject them.

Get Ready for AWS re:Invent 2017

Post Syndicated from Jeff Barr original https://aws.amazon.com/blogs/aws/get-ready-for-aws-reinvent-2017/

With just 110 days left until November 27, 2017, my colleagues and I are working hard to get ready for re:Invent 2017. I have not yet started on my blog posts or on any new LEGO creations, but I have taken a look at a very preliminary list of launches and am already gearing up for a very busy month or two!

We’ve got more venues, a bigger expo hall, more content (over 1,000 sessions), more hackathons, more bootcamps, more workshops, and more certification opportunities than ever before. In addition to perennial favorites like the Tatonka Challenge and the re:PLAY party, we’ve added broomball (a long-time Amazon tradition) and some all-star fitness activities.

Every year I get last-minute texts, calls, and emails from long-lost acquaintances begging for tickets and have to turn them all down (I’m still waiting for the one that starts with “I am pretty sure we were in first grade together…” but you get the idea). Even though we increase capacity every year, we are expecting a sell-out crowd once again and I’d like to encourage you to register today in order to avoid being left out.

See you in Vegas!



Pimoroni is 5 now!

Post Syndicated from guru original https://www.raspberrypi.org/blog/pimoroni-is-5-now/

Long read written by Pimoroni’s Paul Beech, best enjoyed over a cup o’ grog.

Every couple of years, I’ve done a “State of the Fleet” update here on the Raspberry Pi blog to tell everyone how the Sheffield Pirates are doing. Half a decade has gone by in a blink, but reading back over the previous posts shows that a lot has happened in that time!

TL;DR We’re an increasingly medium-sized design/manufacturing/e-commerce business with workshops in Sheffield, UK, and Essen, Germany, and we employ almost 40 people. We’re totally lovely. Thanks for supporting us!


We’ve come a long way, baby

I’m sitting looking out the window at Sheffield-on-Sea and feeling pretty lucky about how things are going. In the morning, I’ll be flying east for Maker Faire Tokyo with Niko (more on him later), and to say hi to some amazing people in Shenzhen (and to visit Huaqiangbei, of course). This is after I’ve already visited this year’s Maker Faires in New York, San Francisco, and Berlin.

Pimoroni started out small, but we’ve grown like weeds, and we’re steadily sauntering towards becoming a medium-sized business. That’s thanks to fantastic support from the people who buy our stuff and spread the word. In return, we try to be nice, friendly, and human in everything we do, and to make exciting things, ideally with our own hands here in Sheffield.

Pimoroni soldering

Handmade with love

We’ve made it onto a few ‘fastest-growing’ lists, and we’re in the top 500 of the Inc. 5000 Europe list. Adafruit did it first a few years back, and we’ve never gone wrong when we’ve followed in their footsteps.

The slightly weird nature of Pimoroni means we get listed as either a manufacturing or e-commerce business. In reality, we’re about four or five companies in one shell, which is very much against the conventions of “how business is done”. However, having seen what Adafruit, SparkFun, and Seeed do, we’re more than happy to design, manufacture, and sell our stuff in-house, as well as stocking the best stuff from across the maker community.

Pimoroni stocks

Product and process

The whole process of expansion has not been without its growing pains. We’re just under 40 people strong now, and have an outpost in Germany (also hilariously far from the sea for piratical activities). This means we’ve had to change things quickly to improve and automate processes, so that the wheels won’t fall off as things get bigger. Process optimization is incredibly interesting to a geek, especially the making sure that things are done well, that mistakes are easy to spot and to fix, and that nothing is missed.

At the end of 2015, we had a step change in how busy we were, and our post room and support started to suffer. As a consequence, we implemented measures to become more efficient, including small but important things like checking in parcels with a barcode scanner attached to a Raspberry Pi. That Pi has been happily running on the same SD card for a couple of years now without problems 😀

Pimoroni post room

Going postal?

We also hired a full-time support ninja, Matt, to keep the experience of getting stuff from us light and breezy and to ensure that any problems are sorted. He’s had hugely positive impact already by making the emails and replies you see more friendly. Of course, he’s also started using the laser cutters for tinkering projects. It’d be a shame to work at Pimoroni and not get to use all the wonderful toys, right?

Employing all the people

You can see some of the motley crew we employ here and there on the Pimoroni website. And if you drop by at the Raspberry Pi Birthday Party, Pi Wars, Maker Faires, Deer Shed Festival, or New Scientist Live in September, you’ll be seeing new Pimoroni faces as we start to engage with people more about what we do. On top of that, we’re starting to make proper videos (like Sandy’s soldering guide), as opposed to the 101 episodes of Bilge Tank we recorded in a rather off-the-cuff and haphazard fashion. Although that’s the beauty of Bilge Tank, right?

Pimoroni soldering

Such soldering setup

As Emma, Sandy, Lydia, and Tanya gel as a super creative team, we’re starting to create more formal educational resources, and to make kits that are suitable for a wider audience. Things like our Pi Zero W kits are products of their talents.

Emma is our new Head of Marketing. She’s really ‘The Only Marketing Person Who Would Ever Fit In At Pimoroni’, having been a core part of the Sheffield maker scene since we hung around with one Ben Nuttall, in the dark days before Raspberry Pi was a thing.

Through a series of fortunate coincidences, Niko and his equally talented wife Mena were there when we cut the first Pibow in 2012. They immediately pitched in to help us buy our second laser cutter so we could keep up with demand. They have been supporting Pimoroni with sourcing in East Asia, and now Niko has become a member of the Pirates’ Council and the Head of Engineering as we’re increasing the sophistication and scale of the things we do. The Unicorn HAT HD is one of his masterpieces.

Pimoroni devices

ALL the HATs!

We see ourselves as a wonderful island of misfit toys, and it feels good to have the best toy shop ever, and to support so many lovely people. Business is about more than just profits.

Where do we go to, me hearties?

So what are our plans? At the moment we’re still working absolutely flat-out as demand from wholesalers, retailers, and customers increases. We thought Raspberry Pi was big, but it turns out it’s just getting started. Near the end of 2016, it seemed to reach a whole new level of popularityand still we continue to meet people to whom we have to explain what a Pi is. It’s a good problem to have.

We need a bigger space, but it’s been hard to find somewhere suitable in Sheffield that won’t mean we’re stuck on an industrial estate miles from civilisation. That would be bad for the crewwe like having world-class burritos on our doorstep.

The good news is, it looks like our search is at an end! Just in time for the arrival of our ‘Super-Turbo-Death-Star’ new production line, which will enable to make devices in a bigger, better, faster, more ‘Now now now!’ fashion \o/

Pimoroni warehouse

Spacious, but not spacious enough!

We’ve got lots of treasure in the pipeline, but we want to pick up the pace of development even more and create many new HATs, pHATs, and SHIMs, e.g. for environmental sensing and audio applications. Picade will also be getting some love to make it slicker and more hackable.

We’re also starting to flirt with adding more engineering and production capabilities in-house. The plan is to try our hand at anodising, powder-coating, and maybe even injection-moulding if we get the space and find the right machine. Learning how to do things is amazing, and we love having an idea and being able to bring it to life in almost no time at all.

Pimoroni production

This is where the magic happens


There are so many people involved in supporting our success, and some people we love for just existing and doing wonderful things that make us want to do better. The biggest shout-outs go to Liz, Eben, Gordon, James, all the Raspberry Pi crew, and Limor and pt from Adafruit, for being the most supportive guiding lights a young maker company could ever need.

A note from us

It is amazing for us to witness the growth of businesses within the Raspberry Pi ecosystem. Pimoroni is a wonderful example of an organisation that is creating opportunities for makers within its local community, and the company is helping to reinvigorate Sheffield as the heart of making in the UK.

If you’d like to take advantage of the great products built by the Pirates, Monkeys, Robots, and Ninjas of Sheffield, you should do it soon: Pimoroni are giving everyone 20% off their homemade tech until 6 August.

Pimoroni, from all of us here at Pi Towers (both in the UK and USA), have a wonderful birthday, and many a grog on us!

The post Pimoroni is 5 now! appeared first on Raspberry Pi.

Create Multiple Builds from the Same Source Using Different AWS CodeBuild Build Specification Files

Post Syndicated from Prakash Palanisamy original https://aws.amazon.com/blogs/devops/create-multiple-builds-from-the-same-source-using-different-aws-codebuild-build-specification-files/

In June 2017, AWS CodeBuild announced you can now specify an alternate build specification file name or location in an AWS CodeBuild project.

In this post, I’ll show you how to use different build specification files in the same repository to create different builds. You’ll find the source code for this post in our GitHub repo.


The AWS CLI must be installed and configured.

Solution Overview

I have created a C program (cbsamplelib.c) that will be used to create a shared library and another utility program (cbsampleutil.c) to use that library. I’ll use a Makefile to compile these files.

I need to put this sample application in RPM and DEB packages so end users can easily deploy them. I have created a build specification file for RPM. It will use make to compile this code and the RPM specification file (cbsample.rpmspec) configured in the build specification to create the RPM package. Similarly, I have created a build specification file for DEB. It will create the DEB package based on the control specification file (cbsample.control) configured in this build specification.

RPM Build Project:

The following build specification file (buildspec-rpm.yml) uses build specification version 0.2. As described in the documentation, this version has different syntax for environment variables. This build specification includes multiple phases:

  • As part of the install phase, the required packages is installed using yum.
  • During the pre_build phase, the required directories are created and the required files, including the RPM build specification file, are copied to the appropriate location.
  • During the build phase, the code is compiled, and then the RPM package is created based on the RPM specification.

As defined in the artifact section, the RPM file will be uploaded as a build artifact.

version: 0.2

    build_version: "0.1"

      - yum install rpm-build make gcc glibc -y
      - curr_working_dir=`pwd`
      - mkdir -p ./{RPMS,SRPMS,BUILD,SOURCES,SPECS,tmp}
      - filename="cbsample-$build_version"
      - echo $filename
      - mkdir -p $filename
      - cp ./*.c ./*.h Makefile $filename
      - tar -zcvf /root/$filename.tar.gz $filename
      - cp /root/$filename.tar.gz ./SOURCES/
      - cp cbsample.rpmspec ./SPECS/
      - echo "Triggering RPM build"
      - rpmbuild --define "_topdir `pwd`" -ba SPECS/cbsample.rpmspec
      - cd $curr_working_dir

    - RPMS/x86_64/cbsample*.rpm
  discard-paths: yes

Using cb-centos-project.json as a reference, create the input JSON file for the CLI command. This project uses an AWS CodeCommit repository named codebuild-multispec and a file named buildspec-rpm.yml as the build specification file. To create the RPM package, we need to specify a custom image name. I’m using the latest CentOS 7 image available in the Docker Hub. I’m using a role named CodeBuildServiceRole. It contains permissions similar to those defined in CodeBuildServiceRole.json. (You need to change the resource fields in the policy, as appropriate.)

    "name": "rpm-build-project",
    "description": "Project which will build RPM from the source.",
    "source": {
        "type": "CODECOMMIT",
        "location": "https://git-codecommit.eu-west-1.amazonaws.com/v1/repos/codebuild-multispec",
        "buildspec": "buildspec-rpm.yml"
    "artifacts": {
        "type": "S3",
        "location": "codebuild-demo-artifact-repository"
    "environment": {
        "type": "LINUX_CONTAINER",
        "image": "centos:7",
        "computeType": "BUILD_GENERAL1_SMALL"
    "serviceRole": "arn:aws:iam::012345678912:role/service-role/CodeBuildServiceRole",
    "timeoutInMinutes": 15,
    "encryptionKey": "arn:aws:kms:eu-west-1:012345678912:alias/aws/s3",
    "tags": [
            "key": "Name",
            "value": "RPM Demo Build"

After the cli-input-json file is ready, execute the following command to create the build project.

$ aws codebuild create-project --name CodeBuild-RPM-Demo --cli-input-json file://cb-centos-project.json

    "project": {
        "name": "CodeBuild-RPM-Demo", 
        "serviceRole": "arn:aws:iam::012345678912:role/service-role/CodeBuildServiceRole", 
        "tags": [
                "value": "RPM Demo Build", 
                "key": "Name"
        "artifacts": {
            "namespaceType": "NONE", 
            "packaging": "NONE", 
            "type": "S3", 
            "location": "codebuild-demo-artifact-repository", 
            "name": "CodeBuild-RPM-Demo"
        "lastModified": 1500559811.13, 
        "timeoutInMinutes": 15, 
        "created": 1500559811.13, 
        "environment": {
            "computeType": "BUILD_GENERAL1_SMALL", 
            "privilegedMode": false, 
            "image": "centos:7", 
            "type": "LINUX_CONTAINER", 
            "environmentVariables": []
        "source": {
            "buildspec": "buildspec-rpm.yml", 
            "type": "CODECOMMIT", 
            "location": "https://git-codecommit.eu-west-1.amazonaws.com/v1/repos/codebuild-multispec"
        "encryptionKey": "arn:aws:kms:eu-west-1:012345678912:alias/aws/s3", 
        "arn": "arn:aws:codebuild:eu-west-1:012345678912:project/CodeBuild-RPM-Demo", 
        "description": "Project which will build RPM from the source."

When the project is created, run the following command to start the build. After the build has started, get the build ID. You can use the build ID to get the status of the build.

$ aws codebuild start-build --project-name CodeBuild-RPM-Demo
    "build": {
        "buildComplete": false, 
        "initiator": "prakash", 
        "artifacts": {
            "location": "arn:aws:s3:::codebuild-demo-artifact-repository/CodeBuild-RPM-Demo"
        "projectName": "CodeBuild-RPM-Demo", 
        "timeoutInMinutes": 15, 
        "buildStatus": "IN_PROGRESS", 
        "environment": {
            "computeType": "BUILD_GENERAL1_SMALL", 
            "privilegedMode": false, 
            "image": "centos:7", 
            "type": "LINUX_CONTAINER", 
            "environmentVariables": []
        "source": {
            "buildspec": "buildspec-rpm.yml", 
            "type": "CODECOMMIT", 
            "location": "https://git-codecommit.eu-west-1.amazonaws.com/v1/repos/codebuild-multispec"
        "currentPhase": "SUBMITTED", 
        "startTime": 1500560156.761, 
        "id": "CodeBuild-RPM-Demo:57a36755-4d37-4b08-9c11-1468e1682abc", 
        "arn": "arn:aws:codebuild:eu-west-1: 012345678912:build/CodeBuild-RPM-Demo:57a36755-4d37-4b08-9c11-1468e1682abc"

$ aws codebuild list-builds-for-project --project-name CodeBuild-RPM-Demo
    "ids": [

$ aws codebuild batch-get-builds --ids CodeBuild-RPM-Demo:57a36755-4d37-4b08-9c11-1468e1682abc
    "buildsNotFound": [], 
    "builds": [
            "buildComplete": true, 
            "phases": [
                    "phaseStatus": "SUCCEEDED", 
                    "endTime": 1500560157.164, 
                    "phaseType": "SUBMITTED", 
                    "durationInSeconds": 0, 
                    "startTime": 1500560156.761
                    "contexts": [], 
                    "phaseType": "PROVISIONING", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 24, 
                    "startTime": 1500560157.164, 
                    "endTime": 1500560182.066
                    "contexts": [], 
                    "phaseType": "DOWNLOAD_SOURCE", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 15, 
                    "startTime": 1500560182.066, 
                    "endTime": 1500560197.906
                    "contexts": [], 
                    "phaseType": "INSTALL", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 19, 
                    "startTime": 1500560197.906, 
                    "endTime": 1500560217.515
                    "contexts": [], 
                    "phaseType": "PRE_BUILD", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 0, 
                    "startTime": 1500560217.515, 
                    "endTime": 1500560217.662
                    "contexts": [], 
                    "phaseType": "BUILD", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 0, 
                    "startTime": 1500560217.662, 
                    "endTime": 1500560217.995
                    "contexts": [], 
                    "phaseType": "POST_BUILD", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 0, 
                    "startTime": 1500560217.995, 
                    "endTime": 1500560218.074
                    "contexts": [], 
                    "phaseType": "UPLOAD_ARTIFACTS", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 0, 
                    "startTime": 1500560218.074, 
                    "endTime": 1500560218.542
                    "contexts": [], 
                    "phaseType": "FINALIZING", 
                    "phaseStatus": "SUCCEEDED", 
                    "durationInSeconds": 4, 
                    "startTime": 1500560218.542, 
                    "endTime": 1500560223.128
                    "phaseType": "COMPLETED", 
                    "startTime": 1500560223.128
            "logs": {
                "groupName": "/aws/codebuild/CodeBuild-RPM-Demo", 
                "deepLink": "https://console.aws.amazon.com/cloudwatch/home?region=eu-west-1#logEvent:group=/aws/codebuild/CodeBuild-RPM-Demo;stream=57a36755-4d37-4b08-9c11-1468e1682abc", 
                "streamName": "57a36755-4d37-4b08-9c11-1468e1682abc"
            "artifacts": {
                "location": "arn:aws:s3:::codebuild-demo-artifact-repository/CodeBuild-RPM-Demo"
            "projectName": "CodeBuild-RPM-Demo", 
            "timeoutInMinutes": 15, 
            "initiator": "prakash", 
            "buildStatus": "SUCCEEDED", 
            "environment": {
                "computeType": "BUILD_GENERAL1_SMALL", 
                "privilegedMode": false, 
                "image": "centos:7", 
                "type": "LINUX_CONTAINER", 
                "environmentVariables": []
            "source": {
                "buildspec": "buildspec-rpm.yml", 
                "type": "CODECOMMIT", 
                "location": "https://git-codecommit.eu-west-1.amazonaws.com/v1/repos/codebuild-multispec"
            "currentPhase": "COMPLETED", 
            "startTime": 1500560156.761, 
            "endTime": 1500560223.128, 
            "id": "CodeBuild-RPM-Demo:57a36755-4d37-4b08-9c11-1468e1682abc", 
            "arn": "arn:aws:codebuild:eu-west-1:012345678912:build/CodeBuild-RPM-Demo:57a36755-4d37-4b08-9c11-1468e1682abc"

DEB Build Project:

In this project, we will use the build specification file named buildspec-deb.yml. Like the RPM build project, this specification includes multiple phases. Here I use a Debian control file to create the package in DEB format. After a successful build, the DEB package will be uploaded as build artifact.

version: 0.2

    build_version: "0.1"

      - apt-get install gcc make -y
      - mkdir -p ./cbsample-$build_version/DEBIAN
      - mkdir -p ./cbsample-$build_version/usr/lib
      - mkdir -p ./cbsample-$build_version/usr/include
      - mkdir -p ./cbsample-$build_version/usr/bin
      - cp -f cbsample.control ./cbsample-$build_version/DEBIAN/control
      - echo "Building the application"
      - make
      - cp libcbsamplelib.so ./cbsample-$build_version/usr/lib
      - cp cbsamplelib.h ./cbsample-$build_version/usr/include
      - cp cbsampleutil ./cbsample-$build_version/usr/bin
      - chmod +x ./cbsample-$build_version/usr/bin/cbsampleutil
      - dpkg-deb --build ./cbsample-$build_version

    - cbsample-*.deb

Here we use cb-ubuntu-project.json as a reference to create the CLI input JSON file. This project uses the same AWS CodeCommit repository (codebuild-multispec) but a different buildspec file in the same repository (buildspec-deb.yml). We use the default CodeBuild image to create the DEB package. We use the same IAM role (CodeBuildServiceRole).

    "name": "deb-build-project",
    "description": "Project which will build DEB from the source.",
    "source": {
        "type": "CODECOMMIT",
        "location": "https://git-codecommit.eu-west-1.amazonaws.com/v1/repos/codebuild-multispec",
        "buildspec": "buildspec-deb.yml"
    "artifacts": {
        "type": "S3",
        "location": "codebuild-demo-artifact-repository"
    "environment": {
        "type": "LINUX_CONTAINER",
        "image": "aws/codebuild/ubuntu-base:14.04",
        "computeType": "BUILD_GENERAL1_SMALL"
    "serviceRole": "arn:aws:iam::012345678912:role/service-role/CodeBuildServiceRole",
    "timeoutInMinutes": 15,
    "encryptionKey": "arn:aws:kms:eu-west-1:012345678912:alias/aws/s3",
    "tags": [
            "key": "Name",
            "value": "Debian Demo Build"

Using the CLI input JSON file, create the project, start the build, and check the status of the project.

$ aws codebuild create-project --name CodeBuild-DEB-Demo --cli-input-json file://cb-ubuntu-project.json

$ aws codebuild list-builds-for-project --project-name CodeBuild-DEB-Demo

$ aws codebuild batch-get-builds --ids CodeBuild-DEB-Demo:e535c4b0-7067-4fbe-8060-9bb9de203789

After successful completion of the RPM and DEB builds, check the S3 bucket configured in the artifacts section for the build packages. Build projects will create a directory in the name of the build project and copy the artifacts inside it.

$ aws s3 ls s3://codebuild-demo-artifact-repository/CodeBuild-RPM-Demo/
2017-07-20 16:16:59       8108 cbsample-0.1-1.el7.centos.x86_64.rpm

$ aws s3 ls s3://codebuild-demo-artifact-repository/CodeBuild-DEB-Demo/
2017-07-20 16:37:22       5420 cbsample-0.1.deb

Override Buildspec During Build Start:

It’s also possible to override the build specification file of an existing project when starting a build. If we want to create the libs RPM package instead of the whole RPM, we will use the build specification file named buildspec-libs-rpm.yml. This build specification file is similar to the earlier RPM build. The only difference is that it uses a different RPM specification file to create libs RPM.

version: 0.2

    build_version: "0.1"

      - yum install rpm-build make gcc glibc -y
      - curr_working_dir=`pwd`
      - mkdir -p ./{RPMS,SRPMS,BUILD,SOURCES,SPECS,tmp}
      - filename="cbsample-libs-$build_version"
      - echo $filename
      - mkdir -p $filename
      - cp ./*.c ./*.h Makefile $filename
      - tar -zcvf /root/$filename.tar.gz $filename
      - cp /root/$filename.tar.gz ./SOURCES/
      - cp cbsample-libs.rpmspec ./SPECS/
      - echo "Triggering RPM build"
      - rpmbuild --define "_topdir `pwd`" -ba SPECS/cbsample-libs.rpmspec
      - cd $curr_working_dir

    - RPMS/x86_64/cbsample-libs*.rpm
  discard-paths: yes

Using the same RPM build project that we created earlier, start a new build and set the value of the `–buildspec-override` parameter to buildspec-libs-rpm.yml .

$ aws codebuild start-build --project-name CodeBuild-RPM-Demo --buildspec-override buildspec-libs-rpm.yml
    "build": {
        "buildComplete": false, 
        "initiator": "prakash", 
        "artifacts": {
            "location": "arn:aws:s3:::codebuild-demo-artifact-repository/CodeBuild-RPM-Demo"
        "projectName": "CodeBuild-RPM-Demo", 
        "timeoutInMinutes": 15, 
        "buildStatus": "IN_PROGRESS", 
        "environment": {
            "computeType": "BUILD_GENERAL1_SMALL", 
            "privilegedMode": false, 
            "image": "centos:7", 
            "type": "LINUX_CONTAINER", 
            "environmentVariables": []
        "source": {
            "buildspec": "buildspec-libs-rpm.yml", 
            "type": "CODECOMMIT", 
            "location": "https://git-codecommit.eu-west-1.amazonaws.com/v1/repos/codebuild-multispec"
        "currentPhase": "SUBMITTED", 
        "startTime": 1500562366.239, 
        "id": "CodeBuild-RPM-Demo:82d05f8a-b161-401c-82f0-83cb41eba567", 
        "arn": "arn:aws:codebuild:eu-west-1:012345678912:build/CodeBuild-RPM-Demo:82d05f8a-b161-401c-82f0-83cb41eba567"

After the build is completed successfully, check to see if the package appears in the artifact S3 bucket under the CodeBuild-RPM-Demo build project folder.

$ aws s3 ls s3://codebuild-demo-artifact-repository/CodeBuild-RPM-Demo/
2017-07-20 16:16:59       8108 cbsample-0.1-1.el7.centos.x86_64.rpm
2017-07-20 16:53:54       5320 cbsample-libs-0.1-1.el7.centos.x86_64.rpm


In this post, I have shown you how multiple buildspec files in the same source repository can be used to run multiple AWS CodeBuild build projects. I have also shown you how to provide a different buildspec file when starting the build.

For more information about AWS CodeBuild, see the AWS CodeBuild documentation. You can get started with AWS CodeBuild by using this step by step guide.

About the author

Prakash Palanisamy is a Solutions Architect for Amazon Web Services. When he is not working on Serverless, DevOps or Alexa, he will be solving problems in Project Euler. He also enjoys watching educational documentaries.

How to Configure Even Stronger Password Policies to Help Meet Your Security Standards by Using AWS Directory Service for Microsoft Active Directory

Post Syndicated from Ravi Turlapati original https://aws.amazon.com/blogs/security/how-to-configure-even-stronger-password-policies-to-help-meet-your-security-standards-by-using-aws-directory-service-for-microsoft-active-directory/

With AWS Directory Service for Microsoft Active Directory (Enterprise Edition), also known as AWS Microsoft AD, you can now create and enforce custom password policies for your Microsoft Windows users. AWS Microsoft AD now includes five empty password policies that you can edit and apply with standard Microsoft password policy tools such as Active Directory Administrative Center (ADAC). With this capability, you are no longer limited to the default Windows password policy. Now, you can configure even stronger password policies and define lockout policies that specify when to lock out an account after login failures.

In this blog post, I demonstrate how to edit these new password policies to help you meet your security standards by using AWS Microsoft AD. I also introduce the password attributes you can modify and demonstrate how to apply password policies to user groups in your domain.


The instructions in this post assume that you already have the following components running:

  • An active AWS Microsoft AD directory.
  • An Amazon EC2 for Windows Server instance that is domain joined to your AWS Microsoft AD directory and on which you have installed ADAC.

If you still need to meet these prerequisites before proceeding:

Scenario overview

Let’s say I am the Active Directory (AD) administrator of Example Corp. At Example Corp., we have a group of technical administrators, several groups of senior managers, and general, nontechnical employees. I need to create password policies for these groups that match our security standards.

Our general employees have access only to low-sensitivity information. However, our senior managers regularly access confidential information and we want to enforce password complexity (a mix of upper and lower case letters, numbers, and special characters) to reduce the risk of data theft. For our administrators, we want to enforce password complexity policies to prevent unauthorized access to our system administration tools.

Our security standards call for the following enforced password and account lockout policies:

  • General employees – To make it easier for nontechnical general employees to remember their passwords, we do not enforce password complexity. However, we want to enforce a minimum password length of 8 characters and a lockout policy after 6 failed login attempts as a minimum bar to protect against unwanted access to our low-sensitivity information. If a general employee forgets their password and becomes locked out, we let them try again in 5 minutes, rather than require escalated password resets. We also want general employees to rotate their passwords every 60 days with no duplicated passwords in the past 10 password changes.
  • Senior managers – For senior managers, we enforce a minimum password length of 10 characters and require password complexity. An account lockout is enforced after 6 failed attempts with an account lockout duration of 15 minutes. Senior managers must rotate their passwords every 45 days, and they cannot duplicate passwords from the past 20 changes.
  • Administrators – For administrators, we enforce password complexity with a minimum password length of 15 characters. We also want to lock out accounts after 6 failed attempts, have password rotation every 30 days, and disallow duplicate passwords in the past 30 changes. When a lockout occurs, we require a special administrator to intervene and unlock the account so that we can be aware of any potential hacking.
  • Fine-Grained Password Policy administrators – To ensure that only trusted administrators unlock accounts, we have two special administrator accounts (admin and midas) that can unlock accounts. These two accounts have the same policy as the other administrators except they have an account lockout duration of 15 minutes, rather than requiring a password reset. These two accounts are also the accounts used to manage Example Corp.’s password policies.

The following table summarizes how I edit each of the four policies I intend to use.

Precedence 10 20 30 50
User group Fine-Grained Password Policy Administrators Other Administrators Senior Managers General Employees
Minimum password length 15 15 10 8
Password complexity Enable Enable Enable Disable
Maximum password age 30 days 30 days 45 days 60 days
Account complexity Enable Enable Enable Disable
Number of failed logon attempts allowed 6 6 6 6
Duration 15 minutes Not applicable 15 minutes 5 minutes
Password history 24 30 20 10
Until admin manually unlocks account Not applicable Selected Not applicable Not applicable

To implement these password policies, I use 4 of the 5 new password policies available in AWS Microsoft AD:

  1. I first explain how to configure the password policies.
  2. I then demonstrate how to apply the four password policies that match Example Corp.’s security standards for these user groups.

1. Configure password policies in AWS Microsoft AD

To help you get started with password policies, AWS has added the Fine-Grained Pwd Policy Admins AD security group to your AWS Microsoft AD directory. Any user or other security group that is part of the Fine-Grained Pwd Policy Admins group has permissions to edit and apply the five new password policies. By default, your directory Admin is part of the new group and can add other users or groups to this group.

Adding users to the Fine-Grained Pwd Policy Admins user group

Follow these steps to add more users or AD security groups to the Fine-Grained Pwd Policy Admins security group so that they can administer fine-grained password policies:

  1. Launch ADAC from your managed instance.
  2. Switch to the Tree View and navigate to CORP > Users.
  3. Find the Fine Grained Pwd Policy Admins user group. Add any users or groups in your domain to this group.

Edit password policies

To edit fine-grained password policies, open ADAC from any management instance joined to your domain. Switch to the Tree View and navigate to System > Password Settings Container. You will see the five policies containing the string -PSO- that AWS added to your directory, as shown in the following screenshot. Select a policy to edit it.

Screenshot showing the five new password policies

After editing the password policy, apply the policy by adding users or AD security groups to these policies by choosing Add. The default domain GPO applies if you do not configure any of the five password policies. For additional details about using Password Settings Container, go to Step-by-Step: Enabling and Using Fine-Grained Password Policies in AD on the Microsoft TechNet Blog.

The password attributes you can edit

AWS allows you to edit all of the password attributes except Precedence (I explain more about Precedence in the next section). These attributes include:

  • Password history
  • Minimum password length
  • Minimum password age
  • Maximum password age
  • Store password using reversible encryption
  • Password must meet complexity requirements

You also can enforce the following attributes for account lockout settings:

  • The number of failed login attempts allowed
  • Account lockout duration
  • Reset failed login attempts after a specified duration

For more details about how these attributes affect password enforcement, see AD DS: Fine-Grained Password Policies on Microsoft TechNet.

Understanding password policy precedence

AD password policies have a precedence (a numerical attribute that AD uses to determine the resultant policy) associated with them. Policies with a lower value for Precedence have higher priority than other policies. A user inherits all policies that you apply directly to the user or to any groups to which the user belongs. For example, suppose jsmith is a member of the HR group and also a member of the MANAGERS group. If I apply a policy with a Precedence of 50 to the HR group and a policy with a Precedence of 40 to MANAGERS, the policy with the Precedence value of 40 ranks higher and AD applies that policy to jsmith.

If you apply multiple policies to a user or group, the resultant policy is determined as follows by AD:

  1. If you apply a policy directly to a user, AD enforces the lowest directly applied password policy.
  2. If you did not apply a policy directly to the user, AD enforces the policy with the lowest Precedence value of all policies inherited by the user through the user’s group membership.

For more information about AD fine-grained policies, see AD DS: Fine-Grained Password Policies on Microsoft TechNet.

2. Apply password policies to user groups

In this section, I demonstrate how to apply Example Corp.’s password policies. Except in rare cases, I only apply policies by group membership, which ensures that AD does not enforce a lower priority policy on an individual user if have I added them to a group with a higher priority policy.

Because my directory is new, I use a Remote Desktop Protocol (RDP) connection to sign in to the Windows Server instance I domain joined to my AWS Microsoft AD directory. Signing in with the admin account, I launch ADAC to perform the following tasks:

  1. First, I set up my groups so that I can apply password policies to them. Later, I can create user accounts and add them to my groups and AD applies the right policy by using the policy precedence and resultant policy algorithms I discussed previously. I start by adding the two special administrative accounts (admin and midas) that I described previously to the Fine-Grained Pwd Policy Admins. Because AWS Microsoft AD adds my default admin account to Fine-Grained Pwd Policy Admins, I only need to create midas and then add midas to the Fine-Grained Pwd Policy Admins group.
  2. Next, I create the Other Administrators, Senior Managers, and General Employees groups that I described previously, as shown in the following screenshot.
    Screenshot of the groups created

For this post’s example, I use these four policies:

  1. EXAMPLE-PSO-01 (highest priority policy) – For the administrators who manage Example Corp.’s password policies. Applying this highest priority policy to the Fine-Grained Pwd Policy Admins group prevents these users from being locked out if they also are assigned to a different policy.
  2. EXAMPLE-PSO-02 (the second highest priority policy) – For Example Corp.’s other administrators.
  3. EXAMPLE-PSO-03 (the third highest priority policy) – For Example Corp.’s senior managers.
  4. EXAMPLE-PSO-05 (the lowest priority policy) – For Example Corp.’s general employees.

This leaves me one password policy (EXAMPLE-PSO-04) that I can use for in the future if needed.

I start by editing the policy, EXAMPLE-PSO-01. To edit the policy, I follow the Edit password policies section from earlier in this post. When finished, I add the Fine-Grained Pwd Policy Admins group to that policy, as shown in the following screenshot. I then repeat the process for each of the remaining policies, as described in the Scenario overview section earlier in this post.

Screenshot of adding the Fine-Grained Pwd Policy Admins group to the EXAMPLE-PSO-01 policy

Though AD enforces new password policies, the timing related to how password policies replicate in the directory, the types of attributes that are changed, and the timing of user password changes can cause variability in the immediacy of policy enforcement. In general, after the policies are replicated throughout the directory, attributes that affect account lockout and password age take effect. Attributes that affect the quality of a password, such as password length, take effect when the password is changed. If the password age for a user is in compliance, but their password strength is out of compliance, the user is not forced to change their password. For more information password policy impact, see this Microsoft TechNet article.


In this post, I have demonstrated how you can configure strong password policies to meet your security standards by using AWS Microsoft AD. To learn more about AWS Microsoft AD, see the AWS Directory Service home page.

If you have comments about this post, submit them in the “Comments” section below. If you have questions about this blog post, start a new thread on the Directory Service forum.

– Ravi

Launch – .NET Core Support In AWS CodeStar and AWS Codebuild

Post Syndicated from Tara Walker original https://aws.amazon.com/blogs/aws/launch-net-core-support-in-aws-codestar-and-aws-codebuild/

A few months ago, I introduced the AWS CodeStar service, which allows you to quickly develop, build, and deploy applications on AWS. AWS CodeStar helps development teams to increase the pace of releasing applications and solutions while reducing some of the challenges of building great software.

When the CodeStar service launched in April, it was released with several project templates for Amazon EC2, AWS Elastic Beanstalk, and AWS Lambda using five different programming languages; JavaScript, Java, Python, Ruby, and PHP. Each template provisions the underlying AWS Code Services and configures an end-end continuous delivery pipeline for the targeted application using AWS CodeCommit, AWS CodeBuild, AWS CodePipeline, and AWS CodeDeploy.

As I have participated in some of the AWS Summits around the world discussing AWS CodeStar, many of you have shown curiosity in learning about the availability of .NET templates in CodeStar and utilizing CodeStar to deploy .NET applications. Therefore, it is with great pleasure and excitement that I announce that you can now develop, build, and deploy cross-platform .NET Core applications with the AWS CodeStar and AWS CodeBuild services.

AWS CodeBuild has added the ability to build and deploy .NET Core application code to both Amazon EC2 and AWS Lambda. This new CodeBuild capability has enabled the addition of two new project templates in AWS CodeStar for .NET Core applications.  These new project templates enable you to deploy .NET Code applications to Amazon EC2 Linux Instances, and provides everything you need to get started quickly, including .NET Core sample code and a full software development toolchain.

Of course, I can’t wait to try out the new addition to the project templates within CodeStar and the update .NET application build options with CodeBuild. For my test scenario, I will use CodeStar to create, build, and deploy my .NET Code ASP.Net web application on EC2. Then, I will extend my ASP.Net application by creating a .NET Lambda function to be compiled and deployed with CodeBuild as a part of my application’s pipeline. This Lambda function can then be called and used within my ASP.Net application to extend the functionality of my web application.

So, let’s get started!

First, I’ll log into the CodeStar console and start a new CodeStar project. I am presented with the option to select a project template.

Right now, I would like to focus on building .NET Core projects, therefore, I’ll filter the project templates by selecting the C# in the Programming Languages section. Now, CodeStar only shows me the new .NET Core project templates that I can use to build web applications and services with ASP.NET Core.

I think I’ll use the ASP.NET Core web application project template for my first CodeStar .NET Core application. As you can see by the project template information display, my web application will be deployed on Amazon EC2, which signifies to me that my .NET Core code will be compiled and packaged using AWS CodeBuild and deployed to EC2 using the AWS CodeDeploy service.

My hunch about the services is confirmed on the next screen when CodeStar shows the AWS CodePipeline and the AWS services that will be configured for my new project. I’ll name this web application project, ASPNetCore4Tara, and leave the default Project ID that CodeStar generates from the project name. Yes, I know that this is one of the goofiest names I could ever come up with, but, hey, it will do for this test project so I’ll go ahead and click the Next button. I should mention that you have the option to edit your Amazon EC2 configuration for your project on this screen before CodeStar starts configuring and provisioning the services needed to run your application.

Since my ASP.Net Core web application will be deployed to an Amazon EC2 instance, I will need to choose an Amazon EC2 Key Pair for encryption of the login used to allow me to SSH into this instance. For my ASPNetCore4Tara project, I will use an existing Amazon EC2 key pair I have previously used for launching my other EC2 instances. However, if I was creating this project and I did not have an EC2 key pair or if I didn’t have access to the .pem file (private key file) for an existing EC2 key pair, I would have to first visit the EC2 console and create a new EC2 key pair to use for my project. This is important because if you remember, without having the EC2 key pair with the associated .pem file, I would not be able to log into my EC2 instance.

With my EC2 key pair selected and confirmation that I have the related private file checked, I am ready to click the Create Project button.

After CodeStar completes the creation of the project and the provisioning of the project related AWS services, I am ready to view the CodeStar sample application from the application endpoint displayed in the CodeStar dashboard. This sample application should be familiar to you if have been working with the CodeStar service or if you had an opportunity to read the blog post about the AWS CodeStar service launch. I’ll click the link underneath Application Endpoints to view the sample ASP.NET Core web application.

Now I’ll go ahead and clone the generated project and connect my Visual Studio IDE to the project repository. I am going to make some changes to the application and since AWS CodeBuild now supports .NET Core builds and deployments to both Amazon EC2 and AWS Lambda, I will alter my build specification file appropriately for the changes to my web application that will include the use of the Lambda function.  Don’t worry if you are not familiar with how to clone the project and connect it to the Visual Studio IDE, CodeStar provides in-console step-by-step instructions to assist you.

First things first, I will open up the Visual Studio IDE and connect to AWS CodeCommit repository provisioned for my ASPNetCore4Tara project. It is important to note that the Visual Studio 2017 IDE is required for .NET Core projects in AWS CodeStar and the AWS Toolkit for Visual Studio 2017 will need to be installed prior to connecting your project repository to the IDE.

In order to connect to my repo within Visual Studio, I will open up Team Explorer and select the Connect link under the AWS CodeCommit option under Hosted Service Providers. I will click Ok to keep my default AWS profile toolkit credentials.

I’ll then click Clone under the Manage Connections and AWS CodeCommit hosted provider section.

Once I select my aspnetcore4tara repository in the Clone AWS CodeCommit Repository dialog, I only have to enter my IAM role’s HTTPS Git credentials in the Git Credentials for AWS CodeCommit dialog and my process is complete. If you’re following along and receive a dialog for Git Credential Manager login, don’t worry just your enter the same IAM role’s Git credentials.

My project is now connected to the aspnetcore4tara CodeCommit repository and my web application is loaded to editing. As you will notice in the screenshot below, the sample project is structured as a standard ASP.NET Core MVC web application.

With the project created, I can make changes and updates. Since I want to update this project with a .NET Lambda function, I’ll quickly start a new project in Visual Studio to author a very simple C# Lambda function to be compiled with the CodeStar project. This AWS Lambda function will be included in the CodeStar ASP.NET Core web application project.

The Lambda function I’ve created makes a call to the REST API of NASA’s popular Astronomy Picture of the Day website. The API sends back the latest planetary image and related information in JSON format. You can see the Lambda function code below.

using System;
using System.Collections.Generic;
using System.Linq;
using System.Threading.Tasks;

using System.Net.Http;
using Amazon.Lambda.Core;

// Assembly attribute to enable the Lambda function's JSON input to be converted into a .NET class.
[assembly: LambdaSerializer(typeof(Amazon.Lambda.Serialization.Json.JsonSerializer))]

namespace NASAPicOfTheDay
    public class SpacePic
        HttpClient httpClient = new HttpClient();
        string nasaRestApi = "https://api.nasa.gov/planetary/apod?api_key=DEMO_KEY";

        /// <summary>
        /// A simple function that retreives NASA Planetary Info and 
        /// Picture of the Day
        /// </summary>
        /// <param name="context"></param>
        /// <returns>nasaResponse-JSON String</returns>
        public async Task<string> GetNASAPicInfo(ILambdaContext context)
            string nasaResponse;
            //Call NASA Picture of the Day API
            nasaResponse = await httpClient.GetStringAsync(nasaRestApi);
            Console.WriteLine("NASA API Response");
            //Return NASA response - JSON format
            return nasaResponse; 

I’ll now publish this C# Lambda function and test by using the Publish to AWS Lambda option provided by the AWS Toolkit for Visual Studio with NASAPicOfTheDay project. After publishing the function, I can test it and verify that it is working correctly within Visual Studio and/or the AWS Lambda console. You can learn more about building AWS Lambda functions with C# and .NET at: http://docs.aws.amazon.com/lambda/latest/dg/dotnet-programming-model.html


Now that I have my Lambda function completed and tested, all that is left is to update the CodeBuild buildspec.yml file within my aspnetcore4tara CodeStar project to include publishing and deploying of the Lambda function.

To accomplish this, I will create a new folder named functions and copy the folder that contains my Lambda function .NET project to my aspnetcore4tara web application project directory.



To build and publish my AWS Lambda function, I will use commands in the buildspec.yml file from the aws-lambda-dotnet tools library, which helps .NET Core developers develop AWS Lambda functions. I add a file, funcprof, to the NASAPicOfTheDay folder which contains customized profile information for use with aws-lambda-dotnet tools. All that is left is to update the buildspec.yml file used by CodeBuild for the ASPNetCore4Tara project build to include the packaging and the deployment of the NASAPictureOfDay AWS Lambda function. The updated buildspec.yml is as follows:

version: 0.2
    basePath: 'hold'
      - echo set basePath for project
      - basePath=$(pwd)
      - echo $basePath
      - echo Build restore and package Lambda function using AWS .NET Tools...
      - dotnet restore functions/*/NASAPicOfTheDay.csproj
      - cd functions/NASAPicOfTheDay
      - dotnet lambda package -c Release -f netcoreapp1.0 -o ../lambda_build/nasa-lambda-function.zip
      - echo Deploy Lambda function used in ASPNET application using AWS .NET Tools. Must be in path of Lambda function build 
      - cd $basePath
      - cd functions/NASAPicOfTheDay
      - dotnet lambda deploy-function NASAPicAPI -c Release -pac ../lambda_build/nasa-lambda-function.zip --profile-location funcprof -fd 'NASA API for Picture of the Day' -fn NASAPicAPI -fh NASAPicOfTheDay::NASAPicOfTheDay.SpacePic::GetNASAPicInfo -frun dotnetcore1.0 -frole arn:aws:iam::xxxxxxxxxxxx:role/lambda_exec_role -framework netcoreapp1.0 -fms 256 -ft 30  
      - echo Lambda function is now deployed - Now change directory back to Base path
      - cd $basePath
      - echo Restore started on `date`
      - dotnet restore AspNetCoreWebApplication/AspNetCoreWebApplication.csproj
      - echo Build started on `date`
      - dotnet publish -c release -o ./build_output AspNetCoreWebApplication/AspNetCoreWebApplication.csproj
    - AspNetCoreWebApplication/build_output/**/*
    - scripts/**/*
    - appspec.yml

That’s it! All that is left is for me to add and commit all my file additions and updates to the AWS CodeCommit git repository provisioned for my ASPNetCore4Tara project. This kicks off the AWS CodePipeline for the project which will now use AWS CodeBuild new support for .NET Core to build and deploy both the ASP.NET Core web application and the .NET AWS Lambda function.



The support for .NET Core in AWS CodeStar and AWS CodeBuild opens the door for .NET developers to take advantage of the benefits of Continuous Integration and Delivery when building .NET based solutions on AWS.  Read more about .NET Core support in AWS CodeStar and AWS CodeBuild here or review product pages for AWS CodeStar and/or AWS CodeBuild for more information on using the services.

Enjoy building .NET projects more efficiently with Amazon Web Services using .NET Core with AWS CodeStar and AWS CodeBuild.



Under the Hood of Server-Side Encryption for Amazon Kinesis Streams

Post Syndicated from Damian Wylie original https://aws.amazon.com/blogs/big-data/under-the-hood-of-server-side-encryption-for-amazon-kinesis-streams/

Customers are using Amazon Kinesis Streams to ingest, process, and deliver data in real time from millions of devices or applications. Use cases for Kinesis Streams vary, but a few common ones include IoT data ingestion and analytics, log processing, clickstream analytics, and enterprise data bus architectures.

Within milliseconds of data arrival, applications (KCL, Apache Spark, AWS Lambda, Amazon Kinesis Analytics) attached to a stream are continuously mining value or delivering data to downstream destinations. Customers are then scaling their streams elastically to match demand. They pay incrementally for the resources that they need, while taking advantage of a fully managed, serverless streaming data service that allows them to focus on adding value closer to their customers.

These benefits are great; however, AWS learned that many customers could not take advantage of Kinesis Streams unless their data-at-rest within a stream was encrypted. Many customers did not want to manage encryption on their own, so they asked for a fully managed, automatic, server-side encryption mechanism leveraging centralized AWS Key Management Service (AWS KMS) customer master keys (CMK).

Motivated by this feedback, AWS added another fully managed, low cost aspect to Kinesis Streams by delivering server-side encryption via KMS managed encryption keys (SSE-KMS) in the following regions:

  • US East (N. Virginia)
  • US West (Oregon)
  • US West (N. California)
  • EU (Ireland)
  • Asia Pacific (Singapore)
  • Asia Pacific (Tokyo)

In this post, I cover the mechanics of the Kinesis Streams server-side encryption feature. I also share a few best practices and considerations so that you can get started quickly.

Understanding the mechanics

The following section walks you through how Kinesis Streams uses CMKs to encrypt a message in the PutRecord or PutRecords path before it is propagated to the Kinesis Streams storage layer, and then decrypt it in the GetRecords path after it has been retrieved from the storage layer.

When server-side encryption is enabled—which takes just a few clicks in the console—the partition key and payload for every incoming record is encrypted automatically as it’s flowing into Kinesis Streams, using the selected CMK. When data is at rest within a stream, it’s encrypted.

When records are retrieved through a GetRecords request from the encrypted stream, they are decrypted automatically as they are flowing out of the service. That means your Kinesis Streams producers and consumers do not need to be aware of encryption. You have a fully managed data encryption feature at your fingertips, which can be enabled within seconds.

AWS also makes it easy to audit the application of server-side encryption. You can use the AWS Management Console for instant stream-level verification; the responses from PutRecord, PutRecords, and getRecords; or AWS CloudTrail.

Calling PutRecord or PutRecords

When server-side encryption is enabled for a particular stream, Kinesis Streams and KMS perform the following actions when your applications call PutRecord or PutRecords on a stream with server-side encryption enabled. The Amazon Kinesis Producer Library (KPL) uses PutRecords.


  1. Data is sent from a customer’s producer (client) to a Kinesis stream using TLS via HTTPS. Data in transit to a stream is encrypted by default.
  2. After data is received, it is momentarily stored in RAM within a front-end proxy layer.
  3. Kinesis Streams authenticates the producer, then impersonates the producer to request input keying material from KMS.
  4. KMS creates key material, encrypts it by using CMK, and sends both the plaintext and encrypted key material to the service, encrypted with TLS.
  5. The client uses the plaintext key material to derive data encryption keys (data keys) that are unique per-record.
  6. The client encrypts the payload and partition key using the data key in RAM within the front-end proxy layer and removes the plaintext data key from memory.
  7. The client appends the encrypted key material to the encrypted data.
  8. The plaintext key material is securely cached in memory within the front-end layer for reuse, until it expires after 5 minutes.
  9. The client delivers the encrypted message to a back-end store where it is stored at rest and fetchable by an authorized consumer through a GetRecords The Amazon Kinesis Client Library (KCL) calls GetRecords to retrieve records from a stream.

Calling getRecords

Kinesis Streams and KMS perform the following actions when your applications call GetRecords on a server-side encrypted stream.


  1. When a GeRecords call is made, the front-end proxy layer retrieves the encrypted record from its back-end store.
  2. The consumer (client) makes a request to KMS using a token generated by the customer’s request. KMS authorizes it.
  3. The client requests that KMS decrypt the encrypted key material.
  4. KMS decrypts the encrypted key material and sends the plaintext key material to the client.
  5. Kinesis Streams derives the per-record data keys from the decrypted key material.
  6. If the calling application is authorized, the client decrypts the payload and removes the plaintext data key from memory.
  7. The client delivers the payload over TLS and HTTPS to the consumer, requesting the records. Data in transit to a consumer is encrypted by default.

Verifying server-side encryption

Auditors or administrators often ask for proof that server-side encryption was or is enabled. Here are a few ways to do this.

To check if encryption is enabled now for your streams:

  • Use the AWS Management Console or the DescribeStream API operation. You can also see what CMK is being used for encryption.
  • See encryption in action by looking at responses from PutRecord, PutRecords, or GetRecords When encryption is enabled, the encryptionType parameter is set to “KMS”. If encryption is not enabled, encryptionType is not included in the response.

Sample PutRecord response

    "SequenceNumber": "49573959617140871741560010162505906306417380215064887298",
    "ShardId": "shardId-000000000000",
    "EncryptionType": "KMS"

Sample GetRecords response

    "Records": [
            "Data": "aGVsbG8gd29ybGQ=", 
            "PartitionKey": "test", 
            "ApproximateArrivalTimestamp": 1498292565.825, 
            "EncryptionType": "KMS", 
            "SequenceNumber": "495735762417140871741560010162505906306417380215064887298"
            "Data": "ZnJvZG8gbGl2ZXMK", 
            "PartitionKey": "3d0d9301-3c30-4c48-a9a8-e485b2982b28", 
            "ApproximateArrivalTimestamp": 1498292801.747, 
            "EncryptionType": "KMS", 
            "SequenceNumber": "49573959617140871741560010162507115232237011062036103170"
    "NextShardIterator": "AAAAAAAAAAEvFypHZDx/4bJVAS34puwdiNcwssKqbh/XhRK7HSYRq3RS+YXJnVKJ8j0gQUt94bONdqQYHk9X9JHgefMUDKzDzndy5WbZWO4CS3hRdMdrbmJ/9KoR4lOfZvqTLt6JWQjDqXv0IaKs06/LHYcEA3oPcyQLOTJHdJl2EzplCTZnn/U295ovxvqF9g9DY8y2nVoMkdFLmdcEMVXjhCDKiRIt", 
    "MillisBehindLatest": 0

To check if encryption was enabled, use CloudTrail, which logs the StartStreamEncryption() and StopStreamEncryption() API calls made against a particular stream.

Getting started

It’s very easy to enable, disable, or modify server-side encryption for a particular stream.

  1. In the Kinesis Streams console, select a stream and choose Details.
  2. Select a CMK and select Enabled.
  3. Choose Save.

You can enable encryption only for a live stream, not upon stream creation.  Follow the same process to disable a stream. To use a different CMK, select it and choose Save.

Each of these tasks can also be accomplished using the StartStreamEncryption and StopStreamEncryption API operations.


There are a few considerations you should be aware of when using server-side encryption for Kinesis Streams:

  • Permissions
  • Costs
  • Performance


One benefit of using the “(Default) aws/kinesis” AWS managed key is that every producer and consumer with permissions to call PutRecord, PutRecords, or GetRecords inherits the right permissions over the “(Default) aws/kinesis” key automatically.

However, this is not necessarily the same case for a CMK. Kinesis Streams producers and consumers do not need to be aware of encryption. However, if you enable encryption using a custom master key but a producer or consumer doesn’t have IAM permissions to use it, PutRecord, PutRecords, or GetRecords requests fail.

This is a great security feature. On the other hand, it can effectively lead to data loss if you inadvertently apply a custom master key that restricts producers and consumers from interacting from the Kinesis stream. Take precautions when applying a custom master key. For more information about the minimum IAM permissions required for producers and consumers interacting with an encrypted stream, see Using Server-Side Encryption.


When you apply server-side encryption, you are subject to KMS API usage and key costs. Unlike custom KMS master keys, the “(Default) aws/kinesis” CMK is offered free of charge. However, you still need to pay for the API usage costs that Kinesis Streams incurs on your behalf.

API usage costs apply for every CMK, including custom ones. Kinesis Streams calls KMS approximately every 5 minutes when it is rotating the data key. In a 30-day month, the total cost of KMS API calls initiated by a Kinesis stream should be less than a few dollars.


During testing, AWS discovered that there was a slight increase (typically 0.2 millisecond or less per record) with put and get record latencies due to the additional overhead of encryption.

If you have questions or suggestions, please comment below.

Dubai Deploying Autonomous Robotic Police Cars

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2017/07/dubai_deploying.html

It’s hard to tell how much of this story is real and how much is aspirational, but it really is only a matter of time:

About the size of a child’s electric toy car, the driverless vehicles will patrol different areas of the city to boost security and hunt for unusual activity, all the while scanning crowds for potential persons of interest to police and known criminals.

A kindly lesson for you non-techies about encryption

Post Syndicated from Robert Graham original http://blog.erratasec.com/2017/06/a-kindly-lesson-for-you-non-techies.html

The following tweets need to be debunked:

The answer to John Schindler’s question is:

every expert in cryptography doesn’t know this

Oh, sure, you can find fringe wacko who also knows crypto that agrees with you but all the sane members of the security community will not.

Telegram is not trustworthy because it’s partially closed-source. We can’t see how it works. We don’t know if they’ve made accidental mistakes that can be hacked. We don’t know if they’ve been bribed by the NSA or Russia to put backdoors in their program. In contrast, PGP and Signal are open-source. We can read exactly what the software does. Indeed, thousands of people have been reviewing their software looking for mistakes and backdoors. Being open-source doesn’t automatically make software better, but it does make hiding secret backdoors much harder.

Telegram is not trustworthy because we aren’t certain the crypto is done properly. Signal, and especially PGP, are done properly.

The thing about encryption is that when done properly, it works. Neither the NSA nor the Russians can break properly encrypted content. There’s no such thing as “military grade” encryption that is better than consumer grade. There’s only encryption that nobody can hack vs. encryption that your neighbor’s teenage kid can easily hack. Those scenes in TV/movies about breaking encryption is as realistic as sound in space: good for dramatic presentation, but not how things work in the real world.

In particular, end-to-end encryption works. Sure, in the past, such apps only encrypted as far as the server, so whoever ran the server could read your messages. Modern chat apps, though, are end-to-end: the servers have absolutely no ability to decrypt what’s on them, unless they can get the decryption keys from the phones. But some tasks, like encrypted messages to a group of people, can be hard to do properly.

Thus, in contrast to what John Schindler says, while we techies have doubts about Telegram, we don’t have doubts about Russia authorities having access to Signal and PGP messages.

Snowden hatred has become the anti-vax of crypto. Sure, there’s no particular reason to trust Snowden — people should really stop treating him as some sort of privacy-Jesus. But there’s no particular reason to distrust him, either. His bland statements on crypto are indistinguishable from any other crypto-enthusiast statements. If he’s a Russian pawn, then so too is the bulk of the crypto community.

With all this said, using Signal doesn’t make you perfectly safe. The person you are chatting with could be a secret agent — especially in group chat. There could be cameras/microphones in the room where you are using the app. The Russians can also hack into your phone, and likewise eavesdrop on everything you do with the phone, regardless of which app you use. And they probably have hacked specific people’s phones. On the other hand, if the NSA or Russians were widely hacking phones, we’d detect that this was happening. We haven’t.

Signal is therefore not a guarantee of safety, because nothing is, and if your life depends on it, you can’t trust any simple advice like “use Signal”. But, for the bulk of us, it’s pretty damn secure, and I trust neither the Russians nor the NSA are reading my Signal or PGP messages.

At first blush, this @20committee tweet appears to be non-experts opining on things outside their expertise. But in reality, it’s just obtuse partisanship, where truth and expertise doesn’t matter. Nothing you or I say can change some people’s minds on this matter, no matter how much our expertise gives weight to our words. This post is instead for bystanders, who don’t know enough to judge whether these crazy statements have merit.


So let’s talk about “every crypto expert“. It’s, of course, impossible to speak for every crypto expert. It’s like saying how the consensus among climate scientists is that mankind is warming the globe, while at the same time, ignoring the wide spread disagreement on how much warming that is.

The same is true here. You’ll get a widespread different set of responses from experts about the above tweet. Some, for example, will stress my point at the bottom that hacking the endpoint (the phone) breaks all the apps, and thus justify the above tweet from that point of view. Others will point out that all software has bugs, and it’s quite possible that Signal has some unknown bug that the Russians are exploiting.

So I’m not attempting to speak for what all experts might say here in the general case and what long lecture they can opine about. I am, though, pointing out the basics that virtually everyone agrees on, the consensus of open-source and working crypto.

NSA Insider Security Post-Snowden

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2017/06/nsa_insider_sec.html

According to a recently declassified report obtained under FOIA, the NSA’s attempts to protect itself against insider attacks aren’t going very well:

The N.S.A. failed to consistently lock racks of servers storing highly classified data and to secure data center machine rooms, according to the report, an investigation by the Defense Department’s inspector general completed in 2016.


The agency also failed to meaningfully reduce the number of officials and contractors who were empowered to download and transfer data classified as top secret, as well as the number of “privileged” users, who have greater power to access the N.S.A.’s most sensitive computer systems. And it did not fully implement software to monitor what those users were doing.

In all, the report concluded, while the post-Snowden initiative — called “Secure the Net” by the N.S.A. — had some successes, it “did not fully meet the intent of decreasing the risk of insider threats to N.S.A. operations and the ability of insiders to exfiltrate data.”

Marcy Wheeler comments:

The IG report examined seven of the most important out of 40 “Secure the Net” initiatives rolled out since Snowden began leaking classified information. Two of the initiatives aspired to reduce the number of people who had the kind of access Snowden did: those who have privileged access to maintain, configure, and operate the NSA’s computer systems (what the report calls PRIVACs), and those who are authorized to use removable media to transfer data to or from an NSA system (what the report calls DTAs).

But when DOD’s inspectors went to assess whether NSA had succeeded in doing this, they found something disturbing. In both cases, the NSA did not have solid documentation about how many such users existed at the time of the Snowden leak. With respect to PRIVACs, in June 2013 (the start of the Snowden leak), “NSA officials stated that they used a manually kept spreadsheet, which they no longer had, to identify the initial number of privileged users.” The report offered no explanation for how NSA came to no longer have that spreadsheet just as an investigation into the biggest breach thus far at NSA started. With respect to DTAs, “NSA did not know how many DTAs it had because the manually kept list was corrupted during the months leading up to the security breach.”

There seem to be two possible explanations for the fact that the NSA couldn’t track who had the same kind of access that Snowden exploited to steal so many documents. Either the dog ate their homework: Someone at NSA made the documents unavailable (or they never really existed). Or someone fed the dog their homework: Some adversary made these lists unusable. The former would suggest the NSA had something to hide as it prepared to explain why Snowden had been able to walk away with NSA’s crown jewels. The latter would suggest that someone deliberately obscured who else in the building might walk away with the crown jewels. Obscuring that list would be of particular value if you were a foreign adversary planning on walking away with a bunch of files, such as the set of hacking tools the Shadow Brokers have since released, which are believed to have originated at NSA.

Read the whole thing. Securing against insiders, especially those with technical access, is difficult, but I had assumed the NSA did more post-Snowden.

BPI Breaks Record After Sending 310 Million Google Takedowns

Post Syndicated from Andy original https://torrentfreak.com/bpi-breaks-record-after-sending-310-million-google-takedowns-170619/

A little over a year ago during March 2016, music industry group BPI reached an important milestone. After years of sending takedown notices to Google, the group burst through the 200 million URL barrier.

The fact that it took BPI several years to reach its 200 million milestone made the surpassing of the quarter billion milestone a few months later even more remarkable. In October 2016, the group sent its 250 millionth takedown to Google, a figure that nearly doubled when accounting for notices sent to Microsoft’s Bing.

But despite the volumes, the battle hadn’t been won, let alone the war. The BPI’s takedown machine continued to run at a remarkable rate, churning out millions more notices per week.

As a result, yet another new milestone was reached this month when the BPI smashed through the 300 million URL barrier. Then, days later, a further 10 million were added, with the latter couple of million added during the time it took to put this piece together.

BPI takedown notices, as reported by Google

While demanding that Google places greater emphasis on its de-ranking of ‘pirate’ sites, the BPI has called again and again for a “notice and stay down” regime, to ensure that content taken down by the search engine doesn’t simply reappear under a new URL. It’s a position BPI maintains today.

“The battle would be a whole lot easier if intermediaries played fair,” a BPI spokesperson informs TF.

“They need to take more proactive responsibility to reduce infringing content that appears on their platform, and, where we expressly notify infringing content to them, to ensure that they do not only take it down, but also keep it down.”

The long-standing suggestion is that the volume of takedown notices sent would reduce if a “take down, stay down” regime was implemented. The BPI says it’s difficult to present a precise figure but infringing content has a tendency to reappear, both in search engines and on hosting sites.

“Google rejects repeat notices for the same URL. But illegal content reappears as it is re-indexed by Google. As to the sites that actually host the content, the vast majority of notices sent to them could be avoided if they implemented take-down & stay-down,” BPI says.

The fact that the BPI has added 60 million more takedowns since the quarter billion milestone a few months ago is quite remarkable, particularly since there appears to be little slowdown from month to month. However, the numbers have grown so huge that 310 billion now feels a lot like 250 million, with just a few added on top for good measure.

That an extra 60 million takedowns can almost be dismissed as a handful is an indication of just how massive the issue is online. While pirates always welcome an abundance of links to juicy content, it’s no surprise that groups like the BPI are seeking more comprehensive and sustainable solutions.

Previously, it was hoped that the Digital Economy Bill would provide some relief, hopefully via government intervention and the imposition of a search engine Code of Practice. In the event, however, all pressure on search engines was removed from the legislation after a separate voluntary agreement was reached.

All parties agreed that the voluntary code should come into effect two weeks ago on June 1 so it seems likely that some effects should be noticeable in the near future. But the BPI says it’s still early days and there’s more work to be done.

“BPI has been working productively with search engines since the voluntary code was agreed to understand how search engines approach the problem, but also what changes can and have been made and how results can be improved,” the group explains.

“The first stage is to benchmark where we are and to assess the impact of the changes search engines have made so far. This will hopefully be completed soon, then we will have better information of the current picture and from that we hope to work together to continue to improve search for rights owners and consumers.”

With more takedown notices in the pipeline not yet publicly reported by Google, the BPI informs TF that it has now notified the search giant of 315 million links to illegal content.

“That’s an astonishing number. More than 1 in 10 of the entire world’s notices to Google come from BPI. This year alone, one in every three notices sent to Google from BPI is for independent record label repertoire,” BPI concludes.

While it’s clear that groups like BPI have developed systems to cope with the huge numbers of takedown notices required in today’s environment, it’s clear that few rightsholders are happy with the status quo. With that in mind, the fight will continue, until search engines are forced into compromise. Considering the implications, that could only appear on a very distant horizon.

Source: TF, for the latest info on copyright, file-sharing, torrent sites and ANONYMOUS VPN services.

How to Deploy Local Administrator Password Solution with AWS Microsoft AD

Post Syndicated from Dragos Madarasan original https://aws.amazon.com/blogs/security/how-to-deploy-local-administrator-password-solution-with-aws-microsoft-ad/

Local Administrator Password Solution (LAPS) from Microsoft simplifies password management by allowing organizations to use Active Directory (AD) to store unique passwords for computers. Typically, an organization might reuse the same local administrator password across the computers in an AD domain. However, this approach represents a security risk because it can be exploited during lateral escalation attacks. LAPS solves this problem by creating unique, randomized passwords for the Administrator account on each computer and storing it encrypted in AD.

Deploying LAPS with AWS Microsoft AD requires the following steps:

  1. Install the LAPS binaries on instances joined to your AWS Microsoft AD domain. The binaries add additional client-side extension (CSE) functionality to the Group Policy client.
  2. Extend the AWS Microsoft AD schema. LAPS requires new AD attributes to store an encrypted password and its expiration time.
  3. Configure AD permissions and delegate the ability to retrieve the local administrator password for IT staff in your organization.
  4. Configure Group Policy on instances joined to your AWS Microsoft AD domain to enable LAPS. This configures the Group Policy client to process LAPS settings and uses the binaries installed in Step 1.

The following diagram illustrates the setup that I will be using throughout this post and the associated tasks to set up LAPS. Note that the AWS Directory Service directory is deployed across multiple Availability Zones, and monitoring automatically detects and replaces domain controllers that fail.

Diagram illustrating this blog post's solution

In this blog post, I explain the prerequisites to set up Local Administrator Password Solution, demonstrate the steps involved to update the AD schema on your AWS Microsoft AD domain, show how to delegate permissions to IT staff and configure LAPS via Group Policy, and demonstrate how to retrieve the password using the graphical user interface or with Windows PowerShell.

This post assumes you are familiar with Lightweight Directory Access Protocol Data Interchange Format (LDIF) files and AWS Microsoft AD. If you need more of an introduction to Directory Service and AWS Microsoft AD, see How to Move More Custom Applications to the AWS Cloud with AWS Directory Service, which introduces working with schema changes in AWS Microsoft AD.


In order to implement LAPS, you must use AWS Directory Service for Microsoft Active Directory (Enterprise Edition), also known as AWS Microsoft AD. Any instance on which you want to configure LAPS must be joined to your AWS Microsoft AD domain. You also need a Management instance on which you install the LAPS management tools.

In this post, I use an AWS Microsoft AD domain called example.com that I have launched in the EU (London) region. To see which the regions in which Directory Service is available, see AWS Regions and Endpoints.

Screenshot showing the AWS Microsoft AD domain example.com used in this blog post

In addition, you must have at least two instances launched in the same region as the AWS Microsoft AD domain. To join the instances to your AWS Microsoft AD domain, you have two options:

  1. Use the Amazon EC2 Systems Manager (SSM) domain join feature. To learn more about how to set up domain join for EC2 instances, see joining a Windows Instance to an AWS Directory Service Domain.
  2. Manually configure the DNS server addresses in the Internet Protocol version 4 (TCP/IPv4) settings of the network card to use the AWS Microsoft AD DNS addresses ( and, for this blog post) and perform a manual domain join.

For the purpose of this post, my two instances are:

  1. A Management instance on which I will install the management tools that I have tagged as Management.
  2. A Web Server instance on which I will be deploying the LAPS binary.

Screenshot showing the two EC2 instances used in this post

Implementing the solution


1. Install the LAPS binaries on instances joined to your AWS Microsoft AD domain by using EC2 Run Command

LAPS binaries come in the form of an MSI installer and can be downloaded from the Microsoft Download Center. You can install the LAPS binaries manually, with an automation service such as EC2 Run Command, or with your existing software deployment solution.

For this post, I will deploy the LAPS binaries on my Web Server instance (i-0b7563d0f89d3453a) by using EC2 Run Command:

  1. While signed in to the AWS Management Console, choose EC2. In the Systems Manager Services section of the navigation pane, choose Run Command.
  2. Choose Run a command, and from the Command document list, choose AWS-InstallApplication.
  3. From Target instances, choose the instance on which you want to deploy the LAPS binaries. In my case, I will be selecting the instance tagged as Web Server. If you do not see any instances listed, make sure you have met the prerequisites for Amazon EC2 Systems Manager (SSM) by reviewing the Systems Manager Prerequisites.
  4. For Action, choose Install, and then stipulate the following values:
    • Parameters: /quiet
    • Source: https://download.microsoft.com/download/C/7/A/C7AAD914-A8A6-4904-88A1-29E657445D03/LAPS.x64.msi
    • Source Hash: f63ebbc45e2d080630bd62a195cd225de734131a56bb7b453c84336e37abd766
    • Comment: LAPS deployment

Leave the other options with the default values and choose Run. The AWS Management Console will return a Command ID, which will initially have a status of In Progress. It should take less than 5 minutes to download and install the binaries, after which the Command ID will update its status to Success.

Status showing the binaries have been installed successfully

If the Command ID runs for more than 5 minutes or returns an error, it might indicate a problem with the installer. To troubleshoot, review the steps in Troubleshooting Systems Manager Run Command.

To verify the binaries have been installed successfully, open Control Panel and review the recently installed applications in Programs and Features.

Screenshot of Control Panel that confirms LAPS has been installed successfully

You should see an entry for Local Administrator Password Solution with a version of or newer.

2. Extend the AWS Microsoft AD schema

In the previous section, I used EC2 Run Command to install the LAPS binaries on an EC2 instance. Now, I am ready to extend the schema in an AWS Microsoft AD domain. Extending the schema is a requirement because LAPS relies on new AD attributes to store the encrypted password and its expiration time.

In an on-premises AD environment, you would update the schema by running the Update-AdmPwdADSchema Windows PowerShell cmdlet with schema administrator credentials. Because AWS Microsoft AD is a managed service, I do not have permissions to update the schema directly. Instead, I will update the AD schema from the Directory Service console by importing an LDIF file. If you are unfamiliar with schema updates or LDIF files, see How to Move More Custom Applications to the AWS Cloud with AWS Directory Service.

To make things easier for you, I am providing you with a sample LDIF file that contains the required AD schema changes. Using Notepad or a similar text editor, open the SchemaChanges-0517.ldif file and update the values of dc=example,dc=com with your own AWS Microsoft AD domain and suffix.

After I update the LDIF file with my AWS Microsoft AD details, I import it by using the AWS Management Console:

  1. On the Directory Service console, select from the list of directories in the Microsoft AD directory by choosing its identifier (it will look something like d-534373570ea).
  2. On the Directory details page, choose the Schema extensions tab and choose Upload and update schema.
    Screenshot showing the "Upload and update schema" option
  3. When prompted for the LDIF file that contains the changes, choose the sample LDIF file.
  4. In the background, the LDIF file is validated for errors and a backup of the directory is created for recovery purposes. Updating the schema might take a few minutes and the status will change to Updating Schema. When the process has completed, the status of Completed will be displayed, as shown in the following screenshot.

Screenshot showing the schema updates in progress
When the process has completed, the status of Completed will be displayed, as shown in the following screenshot.

Screenshot showing the process has completed

If the LDIF file contains errors or the schema extension fails, the Directory Service console will generate an error code and additional debug information. To help troubleshoot error messages, see Schema Extension Errors.

The sample LDIF file triggers AWS Microsoft AD to perform the following actions:

  1. Create the ms-Mcs-AdmPwd attribute, which stores the encrypted password.
  2. Create the ms-Mcs-AdmPwdExpirationTime attribute, which stores the time of the password’s expiration.
  3. Add both attributes to the Computer class.

3. Configure AD permissions

In the previous section, I updated the AWS Microsoft AD schema with the required attributes for LAPS. I am now ready to configure the permissions for administrators to retrieve the password and for computer accounts to update their password attribute.

As part of configuring AD permissions, I grant computers the ability to update their own password attribute and specify which security groups have permissions to retrieve the password from AD. As part of this process, I run Windows PowerShell cmdlets that are not installed by default on Windows Server.

Note: To learn more about Windows PowerShell and the concept of a cmdlet (pronounced “command-let”), go to Getting Started with Windows PowerShell.

Before getting started, I need to set up the required tools for LAPS on my Management instance, which must be joined to the AWS Microsoft AD domain. I will be using the same LAPS installer that I downloaded from the Microsoft LAPS website. In my Management instance, I have manually run the installer by clicking the LAPS.x64.msi file. On the Custom Setup page of the installer, under Management Tools, for each option I have selected Install on local hard drive.

Screenshot showing the required management tools

In the preceding screenshot, the features are:

  • The fat client UI – A simple user interface for retrieving the password (I will use it at the end of this post).
  • The Windows PowerShell module – Needed to run the commands in the next sections.
  • The GPO Editor templates – Used to configure Group Policy objects.

The next step is to grant computers in the Computers OU the permission to update their own attributes. While connected to my Management instance, I go to the Start menu and type PowerShell. In the list of results, right-click Windows PowerShell and choose Run as administrator and then Yes when prompted by User Account Control.

In the Windows PowerShell prompt, I type the following command.

Import-module AdmPwd.PS

Set-AdmPwdComputerSelfPermission –OrgUnit “OU=Computers,OU=MyMicrosoftAD,DC=example,DC=com

To grant the administrator group called Admins the permission to retrieve the computer password, I run the following command in the Windows PowerShell prompt I previously started.

Import-module AdmPwd.PS

Set-AdmPwdReadPasswordPermission –OrgUnit “OU=Computers, OU=MyMicrosoftAD,DC=example,DC=com” –AllowedPrincipals “Admins”

4. Configure Group Policy to enable LAPS

In the previous section, I deployed the LAPS management tools on my management instance, granted the computer accounts the permission to self-update their local administrator password attribute, and granted my Admins group permissions to retrieve the password.

Note: The following section addresses the Group Policy Management Console and Group Policy objects. If you are unfamiliar with or wish to learn more about these concepts, go to Get Started Using the GPMC and Group Policy for Beginners.

I am now ready to enable LAPS via Group Policy:

  1. On my Management instance (i-03b2c5d5b1113c7ac), I have installed the Group Policy Management Console (GPMC) by running the following command in Windows PowerShell.
Install-WindowsFeature –Name GPMC
  1. Next, I have opened the GPMC and created a new Group Policy object (GPO) called LAPS GPO.
  2. In the Local Group Policy Editor, I navigate to Computer Configuration > Policies > Administrative Templates > LAPS. I have configured the settings using the values in the following table.




Password Settings


Complexity: large letters, small letters, numbers, specials

Do not allow password expiration time longer than required by policy



Enable local admin password management



  1. Next, I need to link the GPO to an organizational unit (OU) in which my machine accounts sit. In your environment, I recommend testing the new settings on a test OU and then deploying the GPO to production OUs.

Note: If you choose to create a new test organizational unit, you must create it in the OU that AWS Microsoft AD delegates to you to manage. For example, if your AWS Microsoft AD directory name were example.com, the test OU path would be example.com/example/Computers/Test.

  1. To test that LAPS works, I need to make sure the computer has received the new policy by forcing a Group Policy update. While connected to the Web Server instance (i-0b7563d0f89d3453a) using Remote Desktop, I open an elevated administrative command prompt and run the following command: gpupdate /force. I can check if the policy is applied by running the command: gpresult /r | findstr LAPS GPO, where LAPS GPO is the name of the GPO created in the second step.
  2. Back on my Management instance, I can then launch the LAPS interface from the Start menu and use it to retrieve the password (as shown in the following screenshot). Alternatively, I can run the Get-ADComputer Windows PowerShell cmdlet to retrieve the password.
Get-ADComputer [YourComputerName] -Properties ms-Mcs-AdmPwd | select name, ms-Mcs-AdmPwd

Screenshot of the LAPS UI, which you can use to retrieve the password


In this blog post, I demonstrated how you can deploy LAPS with an AWS Microsoft AD directory. I then showed how to install the LAPS binaries by using EC2 Run Command. Using the sample LDIF file I provided, I showed you how to extend the schema, which is a requirement because LAPS relies on new AD attributes to store the encrypted password and its expiration time. Finally, I showed how to complete the LAPS setup by configuring the necessary AD permissions and creating the GPO that starts the LAPS password change.

If you have comments about this post, submit them in the “Comments” section below. If you have questions about or issues implementing this solution, please start a new thread on the Directory Service forum.

– Dragos

What about other leaked printed documents?

Post Syndicated from Robert Graham original http://blog.erratasec.com/2017/06/what-about-other-leaked-printed.html

So nat-sec pundit/expert Marci Wheeler (@emptywheel) asks about those DIOG docs leaked last year. They were leaked in printed form, then scanned in an published by The Intercept. Did they have these nasty yellow dots that track the source? If not, why not?

The answer is that the scanned images of the DIOG doc don’t have dots. I don’t know why. One reason might be that the scanner didn’t pick them up, as it’s much lower quality than the scanner for the Russian hacking docs. Another reason is that the printer used my not have printed them — while most printers do print such dots, some printers don’t. A third possibility is that somebody used a tool to strip the dots from scanned images. I don’t think such a tool exists, but it wouldn’t be hard to write.

Scanner quality

The printed docs are here. They are full of whitespace where it should be easy to see these dots, but they appear not to be there. If we reverse the image, we see something like the following from the first page of the DIOG doc:

Compare this to the first page of the Russian hacking doc which shows the blue dots:

What we see in the difference is that the scan of the Russian doc is much better. We see that in the background, which is much noisier, able to pick small things like the blue dots. In contrast, the DIOG scan is worse. We don’t see much detail in the background.

Looking closer, we can see the lack of detail. We also see banding, which indicates other defects of the scanner.

Thus, one theory is that the scanner just didn’t pick up the dots from the page.

Not all printers

The EFF has a page where they document which printers produce these dots. Samsung and Okidata don’t, virtually all the other printers do.

The person who printed these might’ve gotten lucky. Or, they may have carefully chosen a printer that does not produce these dots.

The reason Reality Winner exfiltrated these documents by printing them is that the NSA had probably clamped down on USB thumb drives for secure facilities. Walking through the metal detector with a chip hidden in a Rubic’s Cube (as shown in the Snowden movie) will not work anymore.

But, presumably, the FBI is not so strict, and a person would be able to exfiltrate the digital docs from FBI facilities, and print elsewhere.


By pure chance, those DIOG docs should’ve had visible tracking dots. Either the person leaking the docs knew about this and avoided it, or they got lucky.

How The Intercept Outed Reality Winner

Post Syndicated from Robert Graham original http://blog.erratasec.com/2017/06/how-intercept-outed-reality-winner.html

Today, The Intercept released documents on election tampering from an NSA leaker. Later, the arrest warrant request for an NSA contractor named “Reality Winner” was published, showing how they tracked her down because she had printed out the documents and sent them to The Intercept. The document posted by the Intercept isn’t the original PDF file, but a PDF containing the pictures of the printed version that was then later scanned in.

As the warrant says, she confessed while interviewed by the FBI. Had she not confessed, the documents still contained enough evidence to convict her: the printed document was digitally watermarked.

The problem is that most new printers print nearly invisibly yellow dots that track down exactly when and where documents, any document, is printed. Because the NSA logs all printing jobs on its printers, it can use this to match up precisely who printed the document.

In this post, I show how.

You can download the document from the original article here. You can then open it in a PDF viewer, such as the normal “Preview” app on macOS. Zoom into some whitespace on the document, and take a screenshot of this. On macOS, hit [Command-Shift-3] to take a screenshot of a window. There are yellow dots in this image, but you can barely see them, especially if your screen is dirty.

We need to highlight the yellow dots. Open the screenshot in an image editor, such as the “Paintbrush” program built into macOS. Now use the option to “Invert Colors” in the image, to get something like this. You should see a roughly rectangular pattern checkerboard in the whitespace.

It’s upside down, so we need to rotate it 180 degrees, or flip-horizontal and flip-vertical:

Now we go to the EFF page and manually click on the pattern so that their tool can decode the meaning:

This produces the following result:

The document leaked by the Intercept was from a printer with model number 54, serial number 29535218. The document was printed on May 9, 2017 at 6:20. The NSA almost certainly has a record of who used the printer at that time.

The situation is similar to how Vice outed the location of John McAfee, by publishing JPEG photographs of him with the EXIF GPS coordinates still hidden in the file. Or it’s how PDFs are often redacted by adding a black bar on top of image, leaving the underlying contents still in the file for people to read, such as in this NYTime accident with a Snowden document. Or how opening a Microsoft Office document, then accidentally saving it, leaves fingerprints identifying you behind, as repeatedly happened with the Wikileaks election leaks. These sorts of failures are common with leaks. To fix this yellow-dot problem, use a black-and-white printer, black-and-white scanner, or convert to black-and-white with an image editor.

Copiers/printers have two features put in there by the government to be evil to you. The first is that scanners/copiers (when using scanner feature) recognize a barely visible pattern on currency, so that they can’t be used to counterfeit money, as shown on this $20 below:

The second is that when they print things out, they includes these invisible dots, so documents can be tracked. In other words, those dots on bills prevent them from being scanned in, and the dots produced by printers help the government track what was printed out.

Yes, this code the government forces into our printers is a violation of our 3rd Amendment rights.

While I was writing up this post, these tweets appeared first:


Seven Tips for Using S3DistCp on Amazon EMR to Move Data Efficiently Between HDFS and Amazon S3

Post Syndicated from Illya Yalovyy original https://aws.amazon.com/blogs/big-data/seven-tips-for-using-s3distcp-on-amazon-emr-to-move-data-efficiently-between-hdfs-and-amazon-s3/

Have you ever needed to move a large amount of data between Amazon S3 and Hadoop Distributed File System (HDFS) but found that the data set was too large for a simple copy operation? EMR can help you with this. In addition to processing and analyzing petabytes of data, EMR can move large amounts of data.

In the Hadoop ecosystem, DistCp is often used to move data. DistCp provides a distributed copy capability built on top of a MapReduce framework. S3DistCp is an extension to DistCp that is optimized to work with S3 and that adds several useful features. In addition to moving data between HDFS and S3, S3DistCp is also a Swiss Army knife of file manipulations. In this post we’ll cover the following tips for using S3DistCp, starting with basic use cases and then moving to more advanced scenarios:

1. Copy or move files without transformation
2. Copy and change file compression on the fly
3. Copy files incrementally
4. Copy multiple folders in one job
5. Aggregate files based on a pattern
6. Upload files larger than 1 TB in size
7. Submit a S3DistCp step to an EMR cluster

1. Copy or move files without transformation

We’ve observed that customers often use S3DistCp to copy data from one storage location to another, whether S3 or HDFS. Syntax for this operation is simple and straightforward:

$ s3-dist-cp --src /data/incoming/hourly_table --dest s3://my-tables/incoming/hourly_table

The source location may contain extra files that we don’t necessarily want to copy. Here, we can use filters based on regular expressions to do things such as copying files with the .log extension only.

Each subfolder has the following files:

$ hadoop fs -ls /data/incoming/hourly_table/2017-02-01/03
Found 8 items
-rw-r--r--   1 hadoop hadoop     197850 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.25845.log
-rw-r--r--   1 hadoop hadoop     484006 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.32953.log
-rw-r--r--   1 hadoop hadoop     868522 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.62649.log
-rw-r--r--   1 hadoop hadoop     408072 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.64637.log
-rw-r--r--   1 hadoop hadoop    1031949 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.70767.log
-rw-r--r--   1 hadoop hadoop     368240 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.89910.log
-rw-r--r--   1 hadoop hadoop     437348 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/2017-02-01.03.96053.log
-rw-r--r--   1 hadoop hadoop        800 2017-02-19 03:41 /data/incoming/hourly_table/2017-02-01/03/processing.meta

To copy only the required files, let’s use the --srcPattern option:

$ s3-dist-cp --src /data/incoming/hourly_table --dest s3://my-tables/incoming/hourly_table_filtered --srcPattern .*\.log

After the upload has finished successfully, let’s check the folder contents in the destination location to confirm only the files ending in .log were copied:

$ hadoop fs -ls s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03
-rw-rw-rw-   1     197850 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.25845.log
-rw-rw-rw-   1     484006 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.32953.log
-rw-rw-rw-   1     868522 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.62649.log
-rw-rw-rw-   1     408072 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.64637.log
-rw-rw-rw-   1    1031949 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.70767.log
-rw-rw-rw-   1     368240 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.89910.log
-rw-rw-rw-   1     437348 2017-02-19 22:56 s3://my-tables/incoming/hourly_table_filtered/2017-02-01/03/2017-02-01.03.96053.log

Sometimes, data needs to be moved instead of copied. In this case, we can use the --deleteOnSuccess option. This option is similar to aws s3 mv, which you might have used previously with the AWS CLI. The files are first copied and then deleted from the source:

$ s3-dist-cp --src s3://my-tables/incoming/hourly_table --dest s3://my-tables/incoming/hourly_table_archive --deleteOnSuccess

After the preceding operation, the source location has only empty folders, and the target location contains all files.

$ hadoop fs -ls -R s3://my-tables/incoming/hourly_table/2017-02-01/
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/incoming/hourly_table/2017-02-01/00
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/incoming/hourly_table/2017-02-01/01
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/incoming/hourly_table/2017-02-01/21
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/incoming/hourly_table/2017-02-01/22

$ hadoop fs -ls s3://my-tables/incoming/hourly_table_archive/2017-02-01/01
-rw-rw-rw-   1     676756 2017-02-19 23:27 s3://my-tables/incoming/hourly_table_archive/2017-02-01/01/2017-02-01.01.27047.log
-rw-rw-rw-   1     780197 2017-02-19 23:27 s3://my-tables/incoming/hourly_table_archive/2017-02-01/01/2017-02-01.01.59789.log
-rw-rw-rw-   1    1041789 2017-02-19 23:27 s3://my-tables/incoming/hourly_table_archive/2017-02-01/01/2017-02-01.01.82293.log
-rw-rw-rw-   1        400 2017-02-19 23:27 s3://my-tables/incoming/hourly_table_archive/2017-02-01/01/processing.meta

The important things to remember here are that S3DistCp deletes only files with the --deleteOnSuccess flag and that it doesn’t delete parent folders, even when they are empty.

2. Copy and change file compression on the fly

Raw files often land in S3 or HDFS in an uncompressed text format. This format is suboptimal both for the cost of storage and for running analytics on that data. S3DistCp can help you efficiently store data and compress files on the fly with the --outputCodec option:

$ s3-dist-cp --src s3://my-tables/incoming/hourly_table_filtered --dest s3://my-tables/incoming/hourly_table_gz --outputCodec=gz

The current version of S3DistCp supports the codecs gzip, gz, lzo, lzop, and snappy, and the keywords none and keep (the default). These keywords have the following meaning:

  • none” – Save files uncompressed. If the files are compressed, then S3DistCp decompresses them.
  • keep” – Don’t change the compression of the files but copy them as-is.

Let’s check the files in the target folder, which have now been compressed with the gz codec:

$ hadoop fs -ls s3://my-tables/incoming/hourly_table_gz/2017-02-01/01/
Found 3 items
-rw-rw-rw-   1     78756 2017-02-20 00:07 s3://my-tables/incoming/hourly_table_gz/2017-02-01/01/2017-02-01.01.27047.log.gz
-rw-rw-rw-   1     80197 2017-02-20 00:07 s3://my-tables/incoming/hourly_table_gz/2017-02-01/01/2017-02-01.01.59789.log.gz
-rw-rw-rw-   1    121178 2017-02-20 00:07 s3://my-tables/incoming/hourly_table_gz/2017-02-01/01/2017-02-01.01.82293.log.gz

3. Copy files incrementally

In real life, the upstream process drops files in some cadence. For instance, new files might get created every hour, or every minute. The downstream process can be configured to pick it up at a different schedule.

Let’s say data lands on S3 and we want to process it on HDFS daily. Copying all files every time doesn’t scale very well. Fortunately, S3DistCp has a built-in solution for that.

For this solution, we use a manifest file. That file allows S3DistCp to keep track of copied files. Following is an example of the command:

$ s3-dist-cp --src s3://my-tables/incoming/hourly_table --dest s3://my-tables/processing/hourly_table --srcPattern .*\.log --outputManifest=manifest-2017-02-25.gz --previousManifest=s3://my-tables/processing/hourly_table/manifest-2017-02-24.gz

The command takes two manifest files as parameters, outputManifest and previousManifest. The first one contains a list of all copied files (old and new), and the second contains a list of files copied previously. This way, we can recreate the full history of operations and see what files were copied during each run:

$ hadoop fs -text s3://my-tables/processing/hourly_table/manifest-2017-02-24.gz > previous.lst
$ hadoop fs -text s3://my-tables/processing/hourly_table/manifest-2017-02-25.gz > current.lst
$ diff previous.lst current.lst
> {"path":"s3://my-tables/processing/hourly_table/2017-02-25/00/2017-02-15.00.50958.log","baseName":"2017-02-25/00/2017-02-15.00.50958.log","srcDir":"s3://my-tables/processing/hourly_table","size":610308}
> {"path":"s3://my-tables/processing/hourly_table/2017-02-25/00/2017-02-25.00.93423.log","baseName":"2017-02-25/00/2017-02-25.00.93423.log","srcDir":"s3://my-tables/processing/hourly_table","size":178928}

S3DistCp creates the file in the local file system using the provided path, /tmp/mymanifest.gz. When the copy operation finishes, it moves that manifest to <DESTINATION LOCATION>.

4. Copy multiple folders in one job

Imagine that we need to copy several folders. Usually, we run as many copy jobs as there are folders that need to be copied. With S3DistCp, the copy can be done in one go. All we need is to prepare a file with list of prefixes and use it as a parameter for the tool:

$ s3-dist-cp --src s3://my-tables/incoming/hourly_table_filtered --dest s3://my-tables/processing/sample_table --srcPrefixesFile file://${PWD}/folders.lst

In this case, the folders.lst file contains the following prefixes:

$ cat folders.lst

As a result, the target location has only the requested subfolders:

$ hadoop fs -ls -R s3://my-tables/processing/sample_table
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/processing/sample_table/2017-02-10
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/processing/sample_table/2017-02-10/11
-rw-rw-rw-   1     139200 2017-02-24 05:59 s3://my-tables/processing/sample_table/2017-02-10/11/2017-02-10.11.12980.log
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/processing/sample_table/2017-02-19
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/processing/sample_table/2017-02-19/02
-rw-rw-rw-   1     702058 2017-02-24 05:59 s3://my-tables/processing/sample_table/2017-02-19/02/2017-02-19.02.19497.log
-rw-rw-rw-   1     265404 2017-02-24 05:59 s3://my-tables/processing/sample_table/2017-02-19/02/2017-02-19.02.26671.log
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/processing/sample_table/2017-02-23
drwxrwxrwx   -          0 1970-01-01 00:00 s3://my-tables/processing/sample_table/2017-02-23/00
-rw-rw-rw-   1     310425 2017-02-24 05:59 s3://my-tables/processing/sample_table/2017-02-23/00/2017-02-23.00.10061.log
-rw-rw-rw-   1    1030397 2017-02-24 05:59 s3://my-tables/processing/sample_table/2017-02-23/00/2017-02-23.00.22664.log

5. Aggregate files based on a pattern

Hadoop is optimized for reading a fewer number of large files rather than many small files, whether from S3 or HDFS. You can use S3DistCp to aggregate small files into fewer large files of a size that you choose, which can optimize your analysis for both performance and cost.

In the following example, we combine small files into bigger files. We do so by using a regular expression with the –groupBy option.

$ s3-dist-cp --src /data/incoming/hourly_table --dest s3://my-tables/processing/daily_table --targetSize=10 --groupBy=’.*/hourly_table/.*/(\d\d)/.*\.log’

Let’s take a look into the target folders and compare them to the corresponding source folders:

$ hadoop fs -ls /data/incoming/hourly_table/2017-02-22/05/
Found 8 items
-rw-r--r--   1 hadoop hadoop     289949 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.11125.log
-rw-r--r--   1 hadoop hadoop     407290 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.19596.log
-rw-r--r--   1 hadoop hadoop     253434 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.30135.log
-rw-r--r--   1 hadoop hadoop     590655 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.36531.log
-rw-r--r--   1 hadoop hadoop     762076 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.47822.log
-rw-r--r--   1 hadoop hadoop     489783 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.80518.log
-rw-r--r--   1 hadoop hadoop     205976 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/2017-02-22.05.99127.log
-rw-r--r--   1 hadoop hadoop        800 2017-02-19 06:07 /data/incoming/hourly_table/2017-02-22/05/processing.meta


$ hadoop fs -ls s3://my-tables/processing/daily_table/2017-02-22/05/
Found 2 items
-rw-rw-rw-   1   10541944 2017-02-28 05:16 s3://my-tables/processing/daily_table/2017-02-22/05/054
-rw-rw-rw-   1   10511516 2017-02-28 05:16 s3://my-tables/processing/daily_table/2017-02-22/05/055

As you can see, seven data files were combined into two with a size close to the requested 10 MB. The *.meta file was filtered out because --groupBy pattern works in a similar way to –srcPattern. We recommend keeping files larger than the default block size, which is 128 MB on EMR.

The name of the final file is composed of groups in the regular expression used in --groupBy plus some number to make the name unique. The pattern must have at least one group defined.

Let’s consider one more example. This time, we want the file name to be formed from three parts: year, month, and file extension (.log in this case). Here is an updated command:

$ s3-dist-cp --src /data/incoming/hourly_table --dest s3://my-tables/processing/daily_table_2017 --targetSize=10 --groupBy=’.*/hourly_table/.*(2017-).*/(\d\d)/.*\.(log)’

Now we have final files named in a different way:

$ hadoop fs -ls s3://my-tables/processing/daily_table_2017/2017-02-22/05/
Found 2 items
-rw-rw-rw-   1   10541944 2017-02-28 05:16 s3://my-tables/processing/daily_table/2017-02-22/05/2017-05log4
-rw-rw-rw-   1   10511516 2017-02-28 05:16 s3://my-tables/processing/daily_table/2017-02-22/05/2017-05log5

As you can see, names of final files consist of concatenation of 3 groups from the regular expression (2017-), (\d\d), (log).

You might find that occasionally you get an error that looks like the following:

$ s3-dist-cp --src /data/incoming/hourly_table --dest s3://my-tables/processing/daily_table_2017 --targetSize=10 --groupBy=’.*/hourly_table/.*(2018-).*/(\d\d)/.*\.(log)’
17/04/27 15:37:45 INFO S3DistCp.S3DistCp: Created 0 files to copy 0 files
Exception in thread “main” java.lang.RuntimeException: Error running job
	at com.amazon.elasticmapreduce.S3DistCp.S3DistCp.run(S3DistCp.java:927)
	at com.amazon.elasticmapreduce.S3DistCp.S3DistCp.run(S3DistCp.java:705)
	at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
	at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:84)
	at com.amazon.elasticmapreduce.S3DistCp.Main.main(Main.java:22)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)

In this case, the key information is contained in Created 0 files to copy 0 files. S3DistCp didn’t find any files to copy because the regular expression in the --groupBy option doesn’t match any files in the source location.

The reason for this issue varies. For example, it can be a mistake in the specified pattern. In the preceding example, we don’t have any files for the year 2018. Another common reason is incorrect escaping of the pattern when we submit S3DistCp command as a step, which is addressed later later in this post.

6. Upload files larger than 1 TB in size

The default upload chunk size when doing an S3 multipart upload is 128 MB. When files are larger than 1 TB, the total number of parts can reach over 10,000. Such a large number of parts can make the job run for a very long time or even fail.

In this case, you can improve job performance by increasing the size of each part. In S3DistCp, you can do this by using the --multipartUploadChunkSize option.

Let’s test how it works on several files about 200 GB in size. With the default part size, it takes about 84 minutes to copy them to S3 from HDFS.

We can increase the default part size to 1000 MB:

$ time s3-dist-cp --src /data/gb200 --dest s3://my-tables/data/S3DistCp/gb200_2 --multipartUploadChunkSize=1000
real    41m1.616s

The maximum part size is 5 GB. Keep in mind that larger parts have a higher chance to fail during upload and don’t necessarily speed up the process. Let’s run the same job with the maximum part size:

time s3-dist-cp --src /data/gb200 --dest s3://my-tables/data/S3DistCp/gb200_2 --multipartUploadChunkSize=5000
real    40m17.331s

7. Submit a S3DistCp step to an EMR cluster

You can run the S3DistCp tool in several ways. First, you can SSH to the master node and execute the command in a terminal window as we did in the preceding examples. This approach might be convenient for many use cases, but sometimes you might want to create a cluster that has some data on HDFS. You can do this by submitting a step directly in the AWS Management Console when creating a cluster.

In the console add step dialog box, we can fill the fields in the following way:

  • Step type: Custom JAR
  • Name*: S3DistCp Stepli>
  • JAR location: command-runner.jar
  • Arguments: s3-dist-cp --src s3://my-tables/incoming/hourly_table --dest /data/input/hourly_table --targetSize 10 --groupBy .*/hourly_table/.*(2017-).*/(\d\d)/.*\.(log)
  • Action of failure: Continue

Notice that we didn’t add quotation marks around our pattern. We needed quotation marks when we were using bash in the terminal window, but not here. The console takes care of escaping and transferring our arguments to the command on the cluster.

Another common use case is to run S3DistCp recurrently or on some event. We can always submit a new step to the existing cluster. The syntax here is slightly different than in previous examples. We separate arguments by commas. In the case of a complex pattern, we shield the whole step option with single quotation marks:

aws emr add-steps --cluster-id j-ABC123456789Z --steps 'Name=LoadData,Jar=command-runner.jar,ActionOnFailure=CONTINUE,Type=CUSTOM_JAR,Args=s3-dist-cp,--src,s3://my-tables/incoming/hourly_table,--dest,/data/input/hourly_table,--targetSize,10,--groupBy,.*/hourly_table/.*(2017-).*/(\d\d)/.*\.(log)'


This post showed you the basics of how S3DistCp works and highlighted some of its most useful features. It covered how you can use S3DistCp to optimize for raw files of different sizes and also selectively copy different files between locations. We also looked at several options for using the tool from SSH, the AWS Management Console, and the AWS CLI.

If you have questions or suggestions, leave a message in the comments.

Next Steps

Take your new knowledge to the next level! Click on the post below and learn the top 10 tips to improve query performance in Amazon Athena.

Top 10 Performance Tuning Tips for Amazon Athena

About the Author

Illya Yalovyy is a Senior Software Development Engineer with Amazon Web Services. He works on cutting-edge features of EMR and is heavily involved in open source projects such as Apache Hive, Apache Zookeeper, Apache Sqoop. His spare time is completely dedicated to his children and family.


New AWS Certification Specialty Exam for Big Data

Post Syndicated from Sara Snedeker original https://aws.amazon.com/blogs/big-data/new-aws-certification-specialty-exam-for-big-data/

AWS Certifications validate technical knowledge with an industry-recognized credential. Today, the AWS Certification team released the AWS Certified Big Data – Specialty exam. This new exam validates technical skills and experience in designing and implementing AWS services to derive value from data. The exam requires a current Associate AWS Certification and is intended for individuals who perform complex big data analyses.

Individuals who are interested in sitting for this exam should know how to do the following:

  • Implement core AWS big data services according to basic architectural best practices
  • Design and maintain big data
  • Leverage tools to automate data analysis

To prepare for the exam, we recommend the Big Data on AWS course, plus AWS whitepapers and documentation that are focused on big data.

This credential can help you stand out from the crowd, get recognized, and provide more evidence of your unique technical skills.

The AWS Certification team also released an AWS Certified Advanced Networking – Specialty exam and new AWS Certification Benefits. You can read more about these new releases on the AWS Blog.

Have more questions about AWS Certification? See our AWS Certification FAQ.

New AWS Certification Specialty Exams & Benefits

Post Syndicated from Jeff Barr original https://aws.amazon.com/blogs/aws/new-aws-certification-specialty-exams-benefits/

We are making two important updates to the AWS Certification program today. We are introducing two new AWS Certification Specialty Exams and our new AWS Certification Benefits Program, giving you another way to validate your skills and to showcase your expertise.

New AWS Certification Specialty Exams
Our new AWS Certified Advanced Networking – Specialty and AWS Certified Big Data – Specialty exams are designed for people with at least one current Associate AWS Certification and deep hands-on experience in the relevant specialty. These credentials can help you stand out from the crowd, get recognized, and provide more evidence of your unique technical skills.

New AWS Certification Benefits
Designed to help showcase your achievement and further advance your AWS expertise, tiered AWS Certification Benefits include newly designed AWS Certified logos and certificates, digital badges, free practice exams, branded merchandise, transcript sharing, and more. Benefits are accessed based on the AWS Certifications you have achieved. The more exams you successfully complete, the more benefits you will receive.

Access Your Specialty Exams and Benefits Today
Sign in to the AWS Training and Certification Portal using an Amazon account or (if you are an APN Partner) your APN Portal credentials. Then click on the Certification link on the AWS Training and Certification Portal to access your AWS Certification Account:

If you previously had an account in Webassessor, you can link your accounts so that your AWS Certification history shows in the portal (read “I already have an AWS Certification account in Webassessor. How do I access my AWS Certification history?” in the AWS Training FAQ to see how to do this).

Learn More
Check out the AWS Certifications FAQ and the AWS Training and Certification Portal FAQ if you have any questions.


Who Are the Shadow Brokers?

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2017/05/who_are_the_sha.html

In 2013, a mysterious group of hackers that calls itself the Shadow Brokers stole a few disks full of NSA secrets. Since last summer, they’ve been dumping these secrets on the Internet. They have publicly embarrassed the NSA and damaged its intelligence-gathering capabilities, while at the same time have put sophisticated cyberweapons in the hands of anyone who wants them. They have exposed major vulnerabilities in Cisco routers, Microsoft Windows, and Linux mail servers, forcing those companies and their customers to scramble. And they gave the authors of the WannaCry ransomware the exploit they needed to infect hundreds of thousands of computer worldwide this month.

After the WannaCry outbreak, the Shadow Brokers threatened to release more NSA secrets every month, giving cybercriminals and other governments worldwide even more exploits and hacking tools.

Who are these guys? And how did they steal this information? The short answer is: we don’t know. But we can make some educated guesses based on the material they’ve published.

The Shadow Brokers suddenly appeared last August, when they published a series of hacking tools and computer exploits­ — vulnerabilities in common software — ­from the NSA. The material was from autumn 2013, and seems to have been collected from an external NSA staging server, a machine that is owned, leased, or otherwise controlled by the US, but with no connection to the agency. NSA hackers find obscure corners of the Internet to hide the tools they need as they go about their work, and it seems the Shadow Brokers successfully hacked one of those caches.

In total, the group has published four sets of NSA material: a set of exploits and hacking tools against routers, the devices that direct data throughout computer networks; a similar collection against mail servers; another collection against Microsoft Windows; and a working directory of an NSA analyst breaking into the SWIFT banking network. Looking at the time stamps on the files and other material, they all come from around 2013. The Windows attack tools, published last month, might be a year or so older, based on which versions of Windows the tools support.

The releases are so different that they’re almost certainly from multiple sources at the NSA. The SWIFT files seem to come from an internal NSA computer, albeit one connected to the Internet. The Microsoft files seem different, too; they don’t have the same identifying information that the router and mail server files do. The Shadow Brokers have released all the material unredacted, without the care journalists took with the Snowden documents or even the care WikiLeaks has taken with the CIA secrets it’s publishing. They also posted anonymous messages in bad English but with American cultural references.

Given all of this, I don’t think the agent responsible is a whistleblower. While possible, it seems like a whistleblower wouldn’t sit on attack tools for three years before publishing. They would act more like Edward Snowden or Chelsea Manning, collecting for a time and then publishing immediately­ — and publishing documents that discuss what the US is doing to whom. That’s not what we’re seeing here; it’s simply a bunch of exploit code, which doesn’t have the political or ethical implications that a whistleblower would want to highlight. The SWIFT documents are records of an NSA operation, and the other posted files demonstrate that the NSA is hoarding vulnerabilities for attack rather than helping fix them and improve all of our security.

I also don’t think that it’s random hackers who stumbled on these tools and are just trying to harm the NSA or the US. Again, the three-year wait makes no sense. These documents and tools are cyber-Kryptonite; anyone who is secretly hoarding them is in danger from half the intelligence agencies in the world. Additionally, the publication schedule doesn’t make sense for the leakers to be cybercriminals. Criminals would use the hacking tools for themselves, incorporating the exploits into worms and viruses, and generally profiting from the theft.

That leaves a nation state. Whoever got this information years before and is leaking it now has to be both capable of hacking the NSA and willing to publish it all. Countries like Israel and France are capable, but would never publish, because they wouldn’t want to incur the wrath of the US. Country like North Korea or Iran probably aren’t capable. (Additionally, North Korea is suspected of being behind WannaCry, which was written after the Shadow Brokers released that vulnerability to the public.) As I’ve written previously, the obvious list of countries who fit my two criteria is small: Russia, China, and­ — I’m out of ideas. And China is currently trying to make nice with the US.

It was generally believed last August, when the first documents were released and before it became politically controversial to say so, that the Russians were behind the leak, and that it was a warning message to President Barack Obama not to retaliate for the Democratic National Committee hacks. Edward Snowden guessed Russia, too. But the problem with the Russia theory is, why? These leaked tools are much more valuable if kept secret. Russia could use the knowledge to detect NSA hacking in its own country and to attack other countries. By publishing the tools, the Shadow Brokers are signaling that they don’t care if the US knows the tools were stolen.

Sure, there’s a chance the attackers knew that the US knew that the attackers knew — ­and round and round we go. But the “we don’t give a damn” nature of the releases points to an attacker who isn’t thinking strategically: a lone hacker or hacking group, which clashes with the nation-state theory.

This is all speculation on my part, based on discussion with others who don’t have access to the classified forensic and intelligence analysis. Inside the NSA, they have a lot more information. Many of the files published include operational notes and identifying information. NSA researchers know exactly which servers were compromised, and through that know what other information the attackers would have access to. As with the Snowden documents, though, they only know what the attackers could have taken and not what they did take. But they did alert Microsoft about the Windows vulnerability the Shadow Brokers released months in advance. Did they have eavesdropping capability inside whoever stole the files, as they claimed to when the Russians attacked the State Department? We have no idea.

So, how did the Shadow Brokers do it? Did someone inside the NSA accidentally mount the wrong server on some external network? That’s possible, but seems very unlikely for the organization to make that kind of rookie mistake. Did someone hack the NSA itself? Could there be a mole inside the NSA?

If it is a mole, my guess is that the person was arrested before the Shadow Brokers released anything. No country would burn a mole working for it by publishing what that person delivered while he or she was still in danger. Intelligence agencies know that if they betray a source this severely, they’ll never get another one.

That points to two possibilities. The first is that the files came from Hal Martin. He’s the NSA contractor who was arrested in August for hoarding agency secrets in his house for two years. He can’t be the publisher, because the Shadow Brokers are in business even though he is in prison. But maybe the leaker got the documents from his stash, either because Martin gave the documents to them or because he himself was hacked. The dates line up, so it’s theoretically possible. There’s nothing in the public indictment against Martin that speaks to his selling secrets to a foreign power, but that’s just the sort of thing that would be left out. It’s not needed for a conviction.

If the source of the documents is Hal Martin, then we can speculate that a random hacker did in fact stumble on it — ­no need for nation-state cyberattack skills.

The other option is a mysterious second NSA leaker of cyberattack tools. Could this be the person who stole the NSA documents and passed them on to someone else? The only time I have ever heard about this was from a Washington Post story about Martin:

There was a second, previously undisclosed breach of cybertools, discovered in the summer of 2015, which was also carried out by a TAO employee [a worker in the Office of Tailored Access Operations], one official said. That individual also has been arrested, but his case has not been made public. The individual is not thought to have shared the material with another country, the official said.

Of course, “not thought to have” is not the same as not having done so.

It is interesting that there have been no public arrests of anyone in connection with these hacks. If the NSA knows where the files came from, it knows who had access to them — ­and it’s long since questioned everyone involved and should know if someone deliberately or accidentally lost control of them. I know that many people, both inside the government and out, think there is some sort of domestic involvement; things may be more complicated than I realize.

It’s also not over. Last week, the Shadow Brokers were back, with a rambling and taunting message announcing a “Data Dump of the Month” service. They’re offering to sell unreleased NSA attack tools­ — something they also tried last August­ — with the threat to publish them if no one pays. The group has made good on their previous boasts: In the coming months, we might see new exploits against web browsers, networking equipment, smartphones, and operating systems — Windows in particular. Even scarier, they’re threatening to release raw NSA intercepts: data from the SWIFT network and banks, and “compromised data from Russian, Chinese, Iranian, or North Korean nukes and missile programs.”

Whoever the Shadow Brokers are, however they stole these disks full of NSA secrets, and for whatever reason they’re releasing them, it’s going to be a long summer inside of Fort Meade­ — as it will be for the rest of us.

This essay previously appeared in the Atlantic, and is an update of this essay from Lawfare.