Tag Archives: logging

Friday Squid Blogging: Do Cephalopods Contain Alien DNA?

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/06/friday_squid_bl_627.html

Maybe not DNA, but biological somethings.

Cause of Cambrian explosion — Terrestrial or Cosmic?“:

Abstract: We review the salient evidence consistent with or predicted by the Hoyle-Wickramasinghe (H-W) thesis of Cometary (Cosmic) Biology. Much of this physical and biological evidence is multifactorial. One particular focus are the recent studies which date the emergence of the complex retroviruses of vertebrate lines at or just before the Cambrian Explosion of ~500 Ma. Such viruses are known to be plausibly associated with major evolutionary genomic processes. We believe this coincidence is not fortuitous but is consistent with a key prediction of H-W theory whereby major extinction-diversification evolutionary boundaries coincide with virus-bearing cometary-bolide bombardment events. A second focus is the remarkable evolution of intelligent complexity (Cephalopods) culminating in the emergence of the Octopus. A third focus concerns the micro-organism fossil evidence contained within meteorites as well as the detection in the upper atmosphere of apparent incoming life-bearing particles from space. In our view the totality of the multifactorial data and critical analyses assembled by Fred Hoyle, Chandra Wickramasinghe and their many colleagues since the 1960s leads to a very plausible conclusion — life may have been seeded here on Earth by life-bearing comets as soon as conditions on Earth allowed it to flourish (about or just before 4.1 Billion years ago); and living organisms such as space-resistant and space-hardy bacteria, viruses, more complex eukaryotic cells, fertilised ova and seeds have been continuously delivered ever since to Earth so being one important driver of further terrestrial evolution which has resulted in considerable genetic diversity and which has led to the emergence of mankind.

Two commentaries.

This is almost certainly not true.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Read my blog posting guidelines here.

Security and Human Behavior (SHB 2018)

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/05/security_and_hu_7.html

I’m at Carnegie Mellon University, at the eleventh Workshop on Security and Human Behavior.

SHB is a small invitational gathering of people studying various aspects of the human side of security, organized each year by Alessandro Acquisti, Ross Anderson, and myself. The 50 or so people in the room include psychologists, economists, computer security researchers, sociologists, political scientists, neuroscientists, designers, lawyers, philosophers, anthropologists, business school professors, and a smattering of others. It’s not just an interdisciplinary event; most of the people here are individually interdisciplinary.

The goal is to maximize discussion and interaction. We do that by putting everyone on panels, and limiting talks to 7-10 minutes. The rest of the time is left to open discussion. Four hour-and-a-half panels per day over two days equals eight panels; six people per panel means that 48 people get to speak. We also have lunches, dinners, and receptions — all designed so people from different disciplines talk to each other.

I invariably find this to be the most intellectually stimulating conference of my year. It influences my thinking in many different, and sometimes surprising, ways.

This year’s program is here. This page lists the participants and includes links to some of their work. As he does every year, Ross Anderson is liveblogging the talks. (Ross also maintains a good webpage of psychology and security resources.)

Here are my posts on the first, second, third, fourth, fifth, sixth, seventh, eighth, ninth, and tenth SHB workshops. Follow those links to find summaries, papers, and occasionally audio recordings of the various workshops.

Next year, I’ll be hosting the event at Harvard.

Use Slack ChatOps to Deploy Your Code – How to Integrate Your Pipeline in AWS CodePipeline with Your Slack Channel

Post Syndicated from Rumi Olsen original https://aws.amazon.com/blogs/devops/use-slack-chatops-to-deploy-your-code-how-to-integrate-your-pipeline-in-aws-codepipeline-with-your-slack-channel/

Slack is widely used by DevOps and development teams to communicate status. Typically, when a build has been tested and is ready to be promoted to a staging environment, a QA engineer or DevOps engineer kicks off the deployment. Using Slack in a ChatOps collaboration model, the promotion can be done in a single click from a Slack channel. And because the promotion happens through a Slack channel, the whole development team knows what’s happening without checking email.

In this blog post, I will show you how to integrate AWS services with a Slack application. I use an interactive message button and incoming webhook to promote a stage with a single click.

To follow along with the steps in this post, you’ll need a pipeline in AWS CodePipeline. If you don’t have a pipeline, the fastest way to create one for this use case is to use AWS CodeStar. Go to the AWS CodeStar console and select the Static Website template (shown in the screenshot). AWS CodeStar will create a pipeline with an AWS CodeCommit repository and an AWS CodeDeploy deployment for you. After the pipeline is created, you will need to add a manual approval stage.

You’ll also need to build a Slack app with webhooks and interactive components, write two Lambda functions, and create an API Gateway API and a SNS topic.

As you’ll see in the following diagram, when I make a change and merge a new feature into the master branch in AWS CodeCommit, the check-in kicks off my CI/CD pipeline in AWS CodePipeline. When CodePipeline reaches the approval stage, it sends a notification to Amazon SNS, which triggers an AWS Lambda function (ApprovalRequester).

The Slack channel receives a prompt that looks like the following screenshot. When I click Yes to approve the build promotion, the approval result is sent to CodePipeline through API Gateway and Lambda (ApprovalHandler). The pipeline continues on to deploy the build to the next environment.

Create a Slack app

For App Name, type a name for your app. For Development Slack Workspace, choose the name of your workspace. You’ll see in the following screenshot that my workspace is AWS ChatOps.

After the Slack application has been created, you will see the Basic Information page, where you can create incoming webhooks and enable interactive components.

To add incoming webhooks:

  1. Under Add features and functionality, choose Incoming Webhooks. Turn the feature on by selecting Off, as shown in the following screenshot.
  2. Now that the feature is turned on, choose Add New Webhook to Workspace. In the process of creating the webhook, Slack lets you choose the channel where messages will be posted.
  3. After the webhook has been created, you’ll see its URL. You will use this URL when you create the Lambda function.

If you followed the steps in the post, the pipeline should look like the following.

Write the Lambda function for approval requests

This Lambda function is invoked by the SNS notification. It sends a request that consists of an interactive message button to the incoming webhook you created earlier.  The following sample code sends the request to the incoming webhook. WEBHOOK_URL and SLACK_CHANNEL are the environment variables that hold values of the webhook URL that you created and the Slack channel where you want the interactive message button to appear.

# This function is invoked via SNS when the CodePipeline manual approval action starts.
# It will take the details from this approval notification and sent an interactive message to Slack that allows users to approve or cancel the deployment.

import os
import json
import logging
import urllib.parse

from base64 import b64decode
from urllib.request import Request, urlopen
from urllib.error import URLError, HTTPError

# This is passed as a plain-text environment variable for ease of demonstration.
# Consider encrypting the value with KMS or use an encrypted parameter in Parameter Store for production deployments.

logger = logging.getLogger()

def lambda_handler(event, context):
    print("Received event: " + json.dumps(event, indent=2))
    message = event["Records"][0]["Sns"]["Message"]
    data = json.loads(message) 
    token = data["approval"]["token"]
    codepipeline_name = data["approval"]["pipelineName"]
    slack_message = {
        "channel": SLACK_CHANNEL,
        "text": "Would you like to promote the build to production?",
        "attachments": [
                "text": "Yes to deploy your build to production",
                "fallback": "You are unable to promote a build",
                "callback_id": "wopr_game",
                "color": "#3AA3E3",
                "attachment_type": "default",
                "actions": [
                        "name": "deployment",
                        "text": "Yes",
                        "style": "danger",
                        "type": "button",
                        "value": json.dumps({"approve": True, "codePipelineToken": token, "codePipelineName": codepipeline_name}),
                        "confirm": {
                            "title": "Are you sure?",
                            "text": "This will deploy the build to production",
                            "ok_text": "Yes",
                            "dismiss_text": "No"
                        "name": "deployment",
                        "text": "No",
                        "type": "button",
                        "value": json.dumps({"approve": False, "codePipelineToken": token, "codePipelineName": codepipeline_name})

    req = Request(SLACK_WEBHOOK_URL, json.dumps(slack_message).encode('utf-8'))

    response = urlopen(req)
    return None


Create a SNS topic

Create a topic and then create a subscription that invokes the ApprovalRequester Lambda function. You can configure the manual approval action in the pipeline to send a message to this SNS topic when an approval action is required. When the pipeline reaches the approval stage, it sends a notification to this SNS topic. SNS publishes a notification to all of the subscribed endpoints. In this case, the Lambda function is the endpoint. Therefore, it invokes and executes the Lambda function. For information about how to create a SNS topic, see Create a Topic in the Amazon SNS Developer Guide.

Write the Lambda function for handling the interactive message button

This Lambda function is invoked by API Gateway. It receives the result of the interactive message button whether or not the build promotion was approved. If approved, an API call is made to CodePipeline to promote the build to the next environment. If not approved, the pipeline stops and does not move to the next stage.

The Lambda function code might look like the following. SLACK_VERIFICATION_TOKEN is the environment variable that contains your Slack verification token. You can find your verification token under Basic Information on Slack manage app page. When you scroll down, you will see App Credential. Verification token is found under the section.

# This function is triggered via API Gateway when a user acts on the Slack interactive message sent by approval_requester.py.

from urllib.parse import parse_qs
import json
import os
import boto3


#Triggered by API Gateway
#It kicks off a particular CodePipeline project
def lambda_handler(event, context):
	#print("Received event: " + json.dumps(event, indent=2))
	body = parse_qs(event['body'])
	payload = json.loads(body['payload'][0])

	# Validate Slack token
	if SLACK_VERIFICATION_TOKEN == payload['token']:
		# This will replace the interactive message with a simple text response.
		# You can implement a more complex message update if you would like.
		return  {
			"isBase64Encoded": "false",
			"statusCode": 200,
			"body": "{\"text\": \"The approval has been processed\"}"
		return  {
			"isBase64Encoded": "false",
			"statusCode": 403,
			"body": "{\"error\": \"This request does not include a vailid verification token.\"}"

def send_slack_message(action_details):
	codepipeline_status = "Approved" if action_details["approve"] else "Rejected"
	codepipeline_name = action_details["codePipelineName"]
	token = action_details["codePipelineToken"] 

	client = boto3.client('codepipeline')
	response_approval = client.put_approval_result(


Create the API Gateway API

  1. In the Amazon API Gateway console, create a resource called InteractiveMessageHandler.
  2. Create a POST method.
    • For Integration type, choose Lambda Function.
    • Select Use Lambda Proxy integration.
    • From Lambda Region, choose a region.
    • In Lambda Function, type a name for your function.
  3.  Deploy to a stage.

For more information, see Getting Started with Amazon API Gateway in the Amazon API Developer Guide.

Now go back to your Slack application and enable interactive components.

To enable interactive components for the interactive message (Yes) button:

  1. Under Features, choose Interactive Components.
  2. Choose Enable Interactive Components.
  3. Type a request URL in the text box. Use the invoke URL in Amazon API Gateway that will be called when the approval button is clicked.

Now that all the pieces have been created, run the solution by checking in a code change to your CodeCommit repo. That will release the change through CodePipeline. When the CodePipeline comes to the approval stage, it will prompt to your Slack channel to see if you want to promote the build to your staging or production environment. Choose Yes and then see if your change was deployed to the environment.


That is it! You have now created a Slack ChatOps solution using AWS CodeCommit, AWS CodePipeline, AWS Lambda, Amazon API Gateway, and Amazon Simple Notification Service.

Now that you know how to do this Slack and CodePipeline integration, you can use the same method to interact with other AWS services using API Gateway and Lambda. You can also use Slack’s slash command to initiate an action from a Slack channel, rather than responding in the way demonstrated in this post.

Pirate IPTV Service Gave Customer Details to Premier League, But What’s the Risk?

Post Syndicated from Andy original https://torrentfreak.com/pirate-iptv-service-gave-customer-details-to-premier-league-but-whats-the-risk-180515/

In a report last weekend, we documented what appear to be the final days of pirate IPTV provider Ace Hosting.

From information provided by several sources including official liquidation documents, it became clear that a previously successful and profitable Ace had succumbed to pressure from the Premier League, which accused the service of copyright infringement.

The company had considerable funds in the bank – £255,472.00 to be exact – but it also had debts of £717,278.84, including £260,000 owed to HMRC and £100,000 to the Premier League as part of a settlement agreement.

Information received by TF late Sunday suggested that £100K was the tip of the iceberg as far as the Premier League was concerned and in a statement yesterday, the football outfit confirmed that was the case.

“A renowned pirate of Premier League content to consumers has been forced to liquidate after agreeing to pay £600,000 for breaching the League’s copyright,” the Premier League announced.

“Ace IPTV, run by Craig Driscoll and Ian Isaac, was selling subscriptions to illegal Premier League streams directly to consumers which allowed viewing on a range of devices, including notorious Kodi-type boxes, as well as to smaller resellers in the UK and abroad.”

Sources familiar with the case suggest that while Ace Hosting Limited didn’t have the funds to pay the Premier League the full £600K, Ace’s operators agreed to pay (and have already paid, to some extent at least) what were essentially their own funds to cover amounts above the final £100K, which is due to be paid next year.

But that’s not the only thing that’s been handed over to the Premier League.

“Ace voluntarily disclosed the personal details of their customers, which the League will now review in compliance with data protection legislation. Further investigations will be conducted, and action taken where appropriate,” the Premier League added.

So, the big question now is how exposed Ace’s former subscribers are.

The truth is that only the Premier League knows for sure but TF has been able to obtain information from several sources which indicate that former subscribers probably aren’t the Premier League’s key interest and even if they were, information obtained on them would be of limited use.

According to a source with knowledge of how a system like Ace’s works, there is a separation of data which appears to help (at least to some degree) with the subscriber’s privacy.

“The system used to manage accounts and take payment is actually completely separate from the software used to manage streams and the lines themselves. They are never usually even on the same server so are two very different databases,” he told TF.

“So at best the only information that has voluntarily been provided to the [Premier League], is just your email, name and address (assuming you even used real details) and what hosting package or credits you bought.”

While this information is bad enough, the action against Ace is targeted, in that it focuses on the Premier League’s content and how Ace (and therefore its users) infringed on the football outfit’s copyrights. So, proving that subscribers actually watched any Premier League content would be an ideal position but it’s not straightforward, despite the potential for detailed logging.

“The management system contains no history of what you watched, when you watched it, when you signed in and so on. That is all contained in a different database on a different server.

“Because every connection is recorded [on the second server], it can create some two million entries a day and as such most providers either turn off this feature or delete the logs daily as having so many entries slows down the system down used for actual streams,” he explains.

Our source says that this data would likely to have been the first to be deleted and is probably “long gone” by now. However, even if the Premier League had obtained it, it’s unlikely they would be able to do much with it due to data protection laws.

“The information was passed to the [Premier League] voluntarily by ACE which means this information has been given from one entity to another without the end users’ consent, not part of the [creditors’ voluntary liquidation] and without a court order to support it. Data Protection right now is taken very seriously in the EU,” he notes.

At this point, it’s probably worth noting that while the word “voluntarily” has been used several times to explain the manner in which Ace handed over its subscribers’ details to the Premier League, the same word can be used to describe the manner in which the £600K settlement amount will be paid.

No one forces someone to pay or hand something over, that’s what the courts are for, and the aim here was to avoid that eventuality.

Other pieces of information culled from various sources suggest that PayPal payment information, limited to amounts only, was also handed over to the Premier League. And, perhaps most importantly (and perhaps predictably) as far as former subscribers are concerned, the football group was more interested in Ace’s upwards supplier chain (the ‘wholesale’ stream suppliers used, for example) than those buying the service.

Finally, while the Premier League is now seeking to send a message to customers that these services are risky to use, it’s difficult to argue with the assertion that it’s unsafe to hand over personal details to an illegal service.

“Ace IPTV’s collapse also highlighted the risk consumers take with their personal data when they sign up to illegal streaming services,” Premier League notes.

TF spoke with three IPTV providers who all confirmed that they don’t care what names and addresses people use to sign up with and that no checks are carried out to make sure they’re correct. However, one concedes that in order to run as a business, this information has to be requested and once a customer types it in, it’s possible that it could be handed over as part of a settlement.

“I’m not going to tell people to put in dummy details, how can I? It’s up to people to use their common sense. If they’re still worried they should give Sky their money because if our backs are against the wall, what do you think is going to happen?” he concludes.

Source: TF, for the latest info on copyright, file-sharing, torrent sites and more. We also have VPN reviews, discounts, offers and coupons.

From Framework to Function: Deploying AWS Lambda Functions for Java 8 using Apache Maven Archetype

Post Syndicated from Ryosuke Iwanaga original https://aws.amazon.com/blogs/compute/from-framework-to-function-deploying-aws-lambda-functions-for-java-8-using-apache-maven-archetype/

As a serverless computing platform that supports Java 8 runtime, AWS Lambda makes it easy to run any type of Java function simply by uploading a JAR file. To help define not only a Lambda serverless application but also Amazon API Gateway, Amazon DynamoDB, and other related services, the AWS Serverless Application Model (SAM) allows developers to use a simple AWS CloudFormation template.

AWS provides the AWS Toolkit for Eclipse that supports both Lambda and SAM. AWS also gives customers an easy way to create Lambda functions and SAM applications in Java using the AWS Command Line Interface (AWS CLI). After you build a JAR file, all you have to do is type the following commands:

aws cloudformation package 
aws cloudformation deploy

To consolidate these steps, customers can use Archetype by Apache Maven. Archetype uses a predefined package template that makes getting started to develop a function exceptionally simple.

In this post, I introduce a Maven archetype that allows you to create a skeleton of AWS SAM for a Java function. Using this archetype, you can generate a sample Java code example and an accompanying SAM template to deploy it on AWS Lambda by a single Maven action.


Make sure that the following software is installed on your workstation:

  • Java
  • Maven
  • (Optional) AWS SAM CLI

Install Archetype

After you’ve set up those packages, install Archetype with the following commands:

git clone https://github.com/awslabs/aws-serverless-java-archetype
cd aws-serverless-java-archetype
mvn install

These are one-time operations, so you don’t run them for every new package. If you’d like, you can add Archetype to your company’s Maven repository so that other developers can use it later.

With those packages installed, you’re ready to develop your new Lambda Function.

Start a project

Now that you have the archetype, customize it and run the code:

cd /path/to/project_home
mvn archetype:generate \
  -DarchetypeGroupId=com.amazonaws.serverless.archetypes \
  -DarchetypeArtifactId=aws-serverless-java-archetype \
  -DarchetypeVersion=1.0.0 \
  -DarchetypeRepository=local \ # Forcing to use local maven repository
  -DinteractiveMode=false \ # For batch mode
  # You can also specify properties below interactively if you omit the line for batch mode
  -DgroupId=YOUR_GROUP_ID \
  -DartifactId=YOUR_ARTIFACT_ID \
  -Dversion=YOUR_VERSION \

You should have a directory called YOUR_ARTIFACT_ID that contains the files and folders shown below:

├── event.json
├── pom.xml
├── src
│   └── main
│       ├── java
│       │   └── Package
│       │       └── Example.java
│       └── resources
│           └── log4j2.xml
└── template.yaml

The sample code is a working example. If you install SAM CLI, you can invoke it just by the command below:

mvn -P invoke verify
[INFO] Scanning for projects...
[INFO] ---------------------------< com.riywo:foo >----------------------------
[INFO] Building foo 1.0
[INFO] --------------------------------[ jar ]---------------------------------
[INFO] --- maven-jar-plugin:3.0.2:jar (default-jar) @ foo ---
[INFO] Building jar: /private/tmp/foo/target/foo-1.0.jar
[INFO] --- maven-shade-plugin:3.1.0:shade (shade) @ foo ---
[INFO] Including com.amazonaws:aws-lambda-java-core:jar:1.2.0 in the shaded jar.
[INFO] Replacing /private/tmp/foo/target/lambda.jar with /private/tmp/foo/target/foo-1.0-shaded.jar
[INFO] --- exec-maven-plugin:1.6.0:exec (sam-local-invoke) @ foo ---
2018/04/06 16:34:35 Successfully parsed template.yaml
2018/04/06 16:34:35 Connected to Docker 1.37
2018/04/06 16:34:35 Fetching lambci/lambda:java8 image for java8 runtime...
java8: Pulling from lambci/lambda
Digest: sha256:14df0a5914d000e15753d739612a506ddb8fa89eaa28dcceff5497d9df2cf7aa
Status: Image is up to date for lambci/lambda:java8
2018/04/06 16:34:37 Invoking Package.Example::handleRequest (java8)
2018/04/06 16:34:37 Decompressing /tmp/foo/target/lambda.jar
2018/04/06 16:34:37 Mounting /private/var/folders/x5/ldp7c38545v9x5dg_zmkr5kxmpdprx/T/aws-sam-local-1523000077594231063 as /var/task:ro inside runtime container
START RequestId: a6ae19fe-b1b0-41e2-80bc-68a40d094d74 Version: $LATEST
Log output: Greeting is 'Hello Tim Wagner.'
END RequestId: a6ae19fe-b1b0-41e2-80bc-68a40d094d74
REPORT RequestId: a6ae19fe-b1b0-41e2-80bc-68a40d094d74	Duration: 96.60 ms	Billed Duration: 100 ms	Memory Size: 128 MB	Max Memory Used: 7 MB

{"greetings":"Hello Tim Wagner."}

[INFO] ------------------------------------------------------------------------
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 10.452 s
[INFO] Finished at: 2018-04-06T16:34:40+09:00
[INFO] ------------------------------------------------------------------------

This maven goal invokes sam local invoke -e event.json, so you can see the sample output to greet Tim Wagner.

To deploy this application to AWS, you need an Amazon S3 bucket to upload your package. You can use the following command to create a bucket if you want:

aws s3 mb s3://YOUR_BUCKET --region YOUR_REGION

Now, you can deploy your application by just one command!

mvn deploy \
    -DawsRegion=YOUR_REGION \
    -Ds3Bucket=YOUR_BUCKET \
[INFO] Scanning for projects...
[INFO] ---------------------------< com.riywo:foo >----------------------------
[INFO] Building foo 1.0
[INFO] --------------------------------[ jar ]---------------------------------
[INFO] --- exec-maven-plugin:1.6.0:exec (sam-package) @ foo ---
Uploading to aws-serverless-java/com.riywo:foo:1.0/924732f1f8e4705c87e26ef77b080b47  11657 / 11657.0  (100.00%)
Successfully packaged artifacts and wrote output template to file target/sam.yaml.
Execute the following command to deploy the packaged template
aws cloudformation deploy --template-file /private/tmp/foo/target/sam.yaml --stack-name <YOUR STACK NAME>
[INFO] --- maven-deploy-plugin:2.8.2:deploy (default-deploy) @ foo ---
[INFO] Skipping artifact deployment
[INFO] --- exec-maven-plugin:1.6.0:exec (sam-deploy) @ foo ---

Waiting for changeset to be created..
Waiting for stack create/update to complete
Successfully created/updated stack - archetype
[INFO] ------------------------------------------------------------------------
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 37.176 s
[INFO] Finished at: 2018-04-06T16:41:02+09:00
[INFO] ------------------------------------------------------------------------

Maven automatically creates a shaded JAR file, uploads it to your S3 bucket, replaces template.yaml, and creates and updates the CloudFormation stack.

To customize the process, modify the pom.xml file. For example, to avoid typing values for awsRegion, s3Bucket or stackName, write them inside pom.xml and check in your VCS. Afterward, you and the rest of your team can deploy the function by typing just the following command:

mvn deploy


Lambda Java 8 runtime has some types of handlers: POJO, Simple type and Stream. The default option of this archetype is POJO style, which requires to create request and response classes, but they are baked by the archetype by default. If you want to use other type of handlers, you can use handlerType property like below:

## POJO type (default)
mvn archetype:generate \

## Simple type - String
mvn archetype:generate \

### Stream type
mvn archetype:generate \

See documentation for more details about handlers.

Also, Lambda Java 8 runtime supports two types of Logging class: Log4j 2 and LambdaLogger. This archetype creates LambdaLogger implementation by default, but you can use Log4j 2 if you want:

## LambdaLogger (default)
mvn archetype:generate \

## Log4j 2
mvn archetype:generate \

If you use LambdaLogger, you can delete ./src/main/resources/log4j2.xml. See documentation for more details.


So, what’s next? Develop your Lambda function locally and type the following command: mvn deploy !

With this Archetype code example, available on GitHub repo, you should be able to deploy Lambda functions for Java 8 in a snap. If you have any questions or comments, please submit them below or leave them on GitHub.

Spring 2018 AWS SOC Reports are Now Available with 11 Services Added in Scope

Post Syndicated from Chris Gile original https://aws.amazon.com/blogs/security/spring-2018-aws-soc-reports-are-now-available-with-11-services-added-in-scope/

Since our last System and Organization Control (SOC) audit, our service and compliance teams have been working to increase the number of AWS Services in scope prioritized based on customer requests. Today, we’re happy to report 11 services are newly SOC compliant, which is a 21 percent increase in the last six months.

With the addition of the following 11 new services, you can now select from a total of 62 SOC-compliant services. To see the full list, go to our Services in Scope by Compliance Program page:

• Amazon Athena
• Amazon QuickSight
• Amazon WorkDocs
• AWS Batch
• AWS CodeBuild
• AWS Config
• AWS OpsWorks Stacks
• AWS Snowball
• AWS Snowball Edge
• AWS Snowmobile
• AWS X-Ray

Our latest SOC 1, 2, and 3 reports covering the period from October 1, 2017 to March 31, 2018 are now available. The SOC 1 and 2 reports are available on-demand through AWS Artifact by logging into the AWS Management Console. The SOC 3 report can be downloaded here.

Finally, prospective customers can read our SOC 1 and 2 reports by reaching out to AWS Compliance.

Want more AWS Security news? Follow us on Twitter.

Bad Software Is Our Fault

Post Syndicated from Bozho original https://techblog.bozho.net/bad-software-is-our-fault/

Bad software is everywhere. One can even claim that every software is bad. Cool companies, tech giants, established companies, all produce bad software. And no, yours is not an exception.

Who’s to blame for bad software? It’s all complicated and many factors are intertwined – there’s business requirements, there’s organizational context, there’s lack of sufficient skilled developers, there’s the inherent complexity of software development, there’s leaky abstractions, reliance on 3rd party software, consequences of wrong business and purchase decisions, time limitations, flawed business analysis, etc. So yes, despite the catchy title, I’m aware it’s actually complicated.

But in every “it’s complicated” scenario, there’s always one or two factors that are decisive. All of them contribute somehow, but the major drivers are usually a handful of things. And in the case of base software, I think it’s the fault of technical people. Developers, architects, ops.

We don’t seem to care about best practices. And I’ll do some nasty generalizations here, but bear with me. We can spend hours arguing about tabs vs spaces, curly bracket on new line, git merge vs rebase, which IDE is better, which framework is better and other largely irrelevant stuff. But we tend to ignore the important aspects that span beyond the code itself. The context in which the code lives, the non-functional requirements – robustness, security, resilience, etc.

We don’t seem to get security. Even trivial stuff such as user authentication is almost always implemented wrong. These days Twitter and GitHub realized they have been logging plain-text passwords, for example, but that’s just the tip of the iceberg. Too often we ignore the security implications.

“But the business didn’t request the security features”, one may say. The business never requested 2-factor authentication, encryption at rest, PKI, secure (or any) audit trail, log masking, crypto shredding, etc., etc. Because the business doesn’t know these things – we do and we have to put them on the backlog and fight for them to be implemented. Each organization has its specifics and tech people can influence the backlog in different ways, but almost everywhere we can put things there and prioritize them.

The other aspect is testing. We should all be well aware by now that automated testing is mandatory. We have all the tools in the world for unit, functional, integration, performance and whatnot testing, and yet many software projects lack the necessary test coverage to be able to change stuff without accidentally breaking things. “But testing takes time, we don’t have it”. We are perfectly aware that testing saves time, as we’ve all had those “not again!” recurring bugs. And yet we think of all sorts of excuses – “let the QAs test it”, we have to ship that now, we’ll test it later”, “this is too trivial to be tested”, etc.

And you may say it’s not our job. We don’t define what has do be done, we just do it. We don’t define the budget, the scope, the features. We just write whatever has been decided. And that’s plain wrong. It’s not our job to make money out of our code, and it’s not our job to define what customers need, but apart from that everything is our job. The way the software is structured, the security aspects and security features, the stability of the code base, the way the software behaves in different environments. The non-functional requirements are our job, and putting them on the backlog is our job.

You’ve probably heard that every software becomes “legacy” after 6 months. And that’s because of us, our sloppiness, our inability to mitigate external factors and constraints. Too often we create a mess through “just doing our job”.

And of course that’s a generalization. I happen to know a lot of great professionals who don’t make these mistakes, who strive for excellence and implement things the right way. But our industry as a whole doesn’t. Our industry as a whole produces bad software. And it’s our fault, as developers – as the only people who know why a certain piece of software is bad.

In a talk of his, Bob Martin warns us of the risks of our sloppiness. We have been building websites so far, but we are more and more building stuff that interacts with the real world, directly and indirectly. Ultimately, lives may depend on our software (like the recent unfortunate death caused by a self-driving car). And I’ll agree with Uncle Bob that it’s high time we self-regulate as an industry, before some technically incompetent politician decides to do that.

How, I don’t know. We’ll have to think more about it. But I’m pretty sure it’s our fault that software is bad, and no amount of blaming the management, the budget, the timing, the tools or the process can eliminate our responsibility.

Why do I insist on bashing my fellow software engineers? Because if we start looking at software development with more responsibility; with the fact that if it fails, it’s our fault, then we’re more likely to get out of our current bug-ridden, security-flawed, fragile software hole and really become the experts of the future.

The post Bad Software Is Our Fault appeared first on Bozho's tech blog.

Friday Squid Blogging: US Army Developing 3D-Printable Battlefield Robot Squid

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/05/friday_squid_bl_623.html

The next major war will be super weird.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Read my blog posting guidelines here.

Drupwn – Drupal Enumeration Tool & Security Scanner

Post Syndicated from Darknet original https://www.darknet.org.uk/2018/05/drupwn-drupal-enumeration-tool-security-scanner/?utm_source=rss&utm_medium=social&utm_campaign=darknetfeed

Drupwn – Drupal Enumeration Tool & Security Scanner

Drupwn is a Python-based Drupal Enumeration Tool that also includes an exploit mode, which can check for and exploit relevant CVEs.

Drupwn Drupal Enumeration Tool Hacking Features

Drupwn can be run, using two separate modes which are enum and exploit. The enum mode allows performing enumerations whereas the exploit mode allows checking and exploiting CVEs.

Enum mode

  • User enumeration
  • Node enumeration
  • Default files enumeration
  • Module enumeration
  • Theme enumeration
  • Cookies support
  • User-Agent support
  • Basic authentication support
  • Request delay
  • Enumeration range
  • Logging

Exploit mode

  • Vulnerability checker
  • CVE exploiter

For scanning Drupal sites there is also:

– Droopescan – Plugin Based CMS Security Scanner

You can download Drupwn here:


Or read more here.

Read the rest of Drupwn – Drupal Enumeration Tool & Security Scanner now! Only available at Darknet.

Friday Squid Blogging: Bizarre Contorted Squid

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/04/friday_squid_bl_622.html

This bizarre contorted squid might be a new species, or a previously known species exhibiting a new behavior. No one knows.

As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.

Read my blog posting guidelines here.

Stream to Twitch with the push of a button

Post Syndicated from Alex Bate original https://www.raspberrypi.org/blog/tinkernut-twitch-streaming/

Stream your video gaming exploits to the internet at the touch of a button with the Twitch-O-Matic. Everyone else is doing it, so you should too.

Twitch-O-Matic: Raspberry Pi Twitch Streaming Device – Weekend Hacker #1804

Some gaming consoles make it easy to stream to Twitch, some gaming consoles don’t (come on, Nintendo). So for those that don’t, I’ve made this beta version of the “Twitch-O-Matic”. No it doesn’t chop onions or fold your laundry, but what it DOES do is stream anything with HDMI output to your Twitch channel with the simple push of a button!

eSports and online game streaming

Interest in eSports has skyrocketed over the last few years, with viewership numbers in the hundreds of millions, sponsorship deals increasing in value and prestige, and tournament prize funds reaching millions of dollars. So it’s no wonder that more and more gamers are starting to stream live to online platforms in order to boost their fanbase and try to cash in on this growing industry.

Streaming to Twitch

Launched in 2011, Twitch.tv is an online live-streaming platform with a primary focus on video gaming. Users can create accounts to contribute their comments and content to the site, as well as watching live-streamed gaming competitions and broadcasts. With a staggering fifteen million daily users, Twitch is accessible via smartphone and gaming console apps, smart TVs, computers, and tablets. But if you want to stream to Twitch, you may find yourself using third-party software in order to do so. And with more buttons to click and more wires to plug in for older, app-less consoles, streaming can get confusing.

Enter Tinkernut.

Side note: we ❤ Tinkernut

We’ve featured Tinkernut a few times on the Raspberry Pi blog – his tutorials are clear, his projects are interesting and useful, and his live-streamed comment videos for every build are a nice touch to sharing homebrew builds on the internet.

Tinkernut Raspberry Pi Zero W Twitch-O-Matic

So, yes, we love him. [This is true. Alex never shuts up about him. – Ed.] And since he has over 500K subscribers on YouTube, we’re obviously not the only ones. We wave our Tinkernut flags with pride.


With a Raspberry Pi Zero W, an HDMI to CSI adapter, and a case to fit it all in, Tinkernut’s Twitch-O-Matic allows easy connection to the Twitch streaming service. You’ll also need a button – the bigger, the better in our opinion, though Tinkernut has opted for the Adafruit 16mm Illuminated Pushbutton for his build, and not the 100mm Massive Arcade Button that, sadly, we still haven’t found a reason to use yet.

Adafruit massive button

“I’m sorry, Dave…”

For added frills and pizzazz, Tinketnut has also incorporated Adafruit’s White LED Backlight Module into the case, though you don’t have to do so unless you’re feeling super fancy.

The setup

The Raspberry Pi Zero W is connected to the HDMI to CSI adapter via the camera connector, in the same way you’d attach the camera ribbon. Tinkernut uses a standard Raspbian image on an 8GB SD card, with SSH enabled for remote access from his laptop. He uses the simple command Raspivid to test the HDMI connection by recording ten seconds of video footage from his console.

Tinkernut Raspberry Pi Zero W Twitch-O-Matic

One lead is all you need

Once you have the Pi receiving video from your console, you can connect to Twitch using your Twitch stream key, which you can find by logging in to your account at Twitch.tv. Tinkernut’s tutorial gives you all the commands you need to stream from your Pi.

The frills

To up the aesthetic impact of your project, adding buttons and backlights is fairly straightforward.

Tinkernut Raspberry Pi Zero W Twitch-O-Matic

Pretty LED frills

To run the stream command, Tinketnut uses a button: press once to start the stream, press again to stop. Pressing the button also turns on the LED backlight, so it’s obvious when streaming is in progress.

The tutorial

For the full code and 3D-printable case STL file, head to Tinketnut’s hackster.io project page. And if you’re already using a Raspberry Pi for Twitch streaming, share your build setup with us. Cheers!

The post Stream to Twitch with the push of a button appeared first on Raspberry Pi.

Announcing the new AWS Certified Security – Specialty exam

Post Syndicated from Janna Pellegrino original https://aws.amazon.com/blogs/architecture/announcing-the-new-aws-certified-security-specialty-exam/

Good news for cloud security experts: following our most popular beta exam ever, the AWS Certified Security – Specialty exam is here. This new exam allows experienced cloud security professionals to demonstrate and validate their knowledge of how to secure the AWS platform.

About the exam
The security exam covers incident response, logging and monitoring, infrastructure security, identity and access management, and data protection. The exam is open to anyone who currently holds a Cloud Practitioner or Associate-level certification. We recommend candidates have five years of IT security experience designing and implementing security solutions, and at least two years of hands-on experience securing AWS workloads.

The exam validates:

  • An understanding of specialized data classifications and AWS data protection mechanisms.
  • An understanding of data encryption methods and AWS mechanisms to implement them.
  • An understanding of secure Internet protocols and AWS mechanisms to implement them.
  • A working knowledge of AWS security services and features of services to provide a secure production environment.
  • Competency gained from two or more years of production deployment experience using AWS security services and features.
  • Ability to make trade-off decisions with regard to cost, security, and deployment complexity given a set of application requirements.
  • An understanding of security operations and risk.

Learn more and register >>

How to prepare
We have training and other resources to help you prepare for the exam:

AWS Training (aws.amazon.com/training)

Additional Resources

Learn more and register >>

Please contact us if you have questions about exam registration.

Good luck!

Announcing the new AWS Certified Security – Specialty exam

Post Syndicated from Ozlem Yilmaz original https://aws.amazon.com/blogs/security/announcing-the-new-aws-certified-security-specialty-exam/

Good news for cloud security experts: the AWS Certified Security — Specialty exam is here. This new exam allows experienced cloud security professionals to demonstrate and validate their knowledge of how to secure the AWS platform.

About the exam

The security exam covers incident response, logging and monitoring, infrastructure security, identity and access management, and data protection. The exam is open to anyone who currently holds a Cloud Practitioner or Associate-level certification. We recommend candidates have five years of IT security experience designing and implementing security solutions, and at least two years of hands-on experience securing AWS workloads.

The exam validates your understanding of:

  • Specialized data classifications and AWS data protection mechanisms
  • Data encryption methods and AWS mechanisms to implement them
  • Secure Internet protocols and AWS mechanisms to implement them
  • AWS security services and features of services to provide a secure production environment
  • Making tradeoff decisions with regard to cost, security, and deployment complexity given a set of application requirements
  • Security operations and risk

How to prepare

We have training and other resources to help you prepare for the exam.

AWS Training that includes:

Additional Resources

Learn more and register here, and please contact us if you have questions about exam registration.

Want more AWS Security news? Follow us on Twitter.