Tag Archives: phones

Fingerprinting iPhones

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2019/05/fingerprinting_7.html

This clever attack allows someone to uniquely identify a phone when you visit a website, based on data from the accelerometer, gyroscope, and magnetometer sensors.

We have developed a new type of fingerprinting attack, the calibration fingerprinting attack. Our attack uses data gathered from the accelerometer, gyroscope and magnetometer sensors found in smartphones to construct a globally unique fingerprint. Overall, our attack has the following advantages:

  • The attack can be launched by any website you visit or any app you use on a vulnerable device without requiring any explicit confirmation or consent from you.
  • The attack takes less than one second to generate a fingerprint.
  • The attack can generate a globally unique fingerprint for iOS devices.
  • The calibration fingerprint never changes, even after a factory reset.
  • The attack provides an effective means to track you as you browse across the web and move between apps on your phone.

* Following our disclosure, Apple has patched this vulnerability in iOS 12.2.

Research paper.

Recovering Smartphone Typing from Microphone Sounds

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2019/04/recovering_smar.html

Yet another side-channel attack on smartphones: “Hearing your touch: A new acoustic side channel on smartphones,” by Ilia Shumailov, Laurent Simon, Jeff Yan, and Ross Anderson.

Abstract: We present the first acoustic side-channel attack that recovers what users type on the virtual keyboard of their touch-screen smartphone or tablet. When a user taps the screen with a finger, the tap generates a sound wave that propagates on the screen surface and in the air. We found the device’s microphone(s) can recover this wave and “hear” the finger’s touch, and the wave’s distortions are characteristic of the tap’s location on the screen. Hence, by recording audio through the built-in microphone(s), a malicious app can infer text as the user enters it on their device. We evaluate the effectiveness of the attack with 45 participants in a real-world environment on an Android tablet and an Android smartphone. For the tablet, we recover 61% of 200 4-digit PIN-codes within 20 attempts, even if the model is not trained with the victim’s data. For the smartphone, we recover 9 words of size 7-13 letters with 50 attempts in a common side-channel attack benchmark. Our results suggest that it not always sufficient to rely on isolation mechanisms such as TrustZone to protect user input. We propose and discuss hardware, operating-system and application-level mechanisms to block this attack more effectively. Mobile devices may need a richer capability model, a more user-friendly notification system for sensor usage and a more thorough evaluation of the information leaked by the underlying hardware.

Blog post.

Clever Smartphone Malware Concealment Technique

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2019/01/clever_smartpho.html

This is clever:

Malicious apps hosted in the Google Play market are trying a clever trick to avoid detection — they monitor the motion-sensor input of an infected device before installing a powerful banking trojan to make sure it doesn’t load on emulators researchers use to detect attacks.

The thinking behind the monitoring is that sensors in real end-user devices will record motion as people use them. By contrast, emulators used by security researchers­ — and possibly Google employees screening apps submitted to Play­ — are less likely to use sensors. Two Google Play apps recently caught dropping the Anubis banking malware on infected devices would activate the payload only when motion was detected first. Otherwise, the trojan would remain dormant.

Cell Phone Security and Heads of State

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/10/cell_phone_secu_1.html

Earlier this week, the New York Times reported that the Russians and the Chinese were eavesdropping on President Donald Trump’s personal cell phone and using the information gleaned to better influence his behavior. This should surprise no one. Security experts have been talking about the potential security vulnerabilities in Trump’s cell phone use since he became president. And President Barack Obama bristled at — but acquiesced to — the security rules prohibiting him from using a “regular” cell phone throughout his presidency.

Three broader questions obviously emerge from the story. Who else is listening in on Trump’s cell phone calls? What about the cell phones of other world leaders and senior government officials? And — most personal of all — what about my cell phone calls?

There are two basic places to eavesdrop on pretty much any communications system: at the end points and during transmission. This means that a cell phone attacker can either compromise one of the two phones or eavesdrop on the cellular network. Both approaches have their benefits and drawbacks. The NSA seems to prefer bulk eavesdropping on the planet’s major communications links and then picking out individuals of interest. In 2016, WikiLeaks published a series of classified documents listing “target selectors”: phone numbers the NSA searches for and records. These included senior government officials of Germany — among them Chancellor Angela Merkel — France, Japan, and other countries.

Other countries don’t have the same worldwide reach that the NSA has, and must use other methods to intercept cell phone calls. We don’t know details of which countries do what, but we know a lot about the vulnerabilities. Insecurities in the phone network itself are so easily exploited that 60 Minutes eavesdropped on a US congressman’s phone live on camera in 2016. Back in 2005, unknown attackers targeted the cell phones of many Greek politicians by hacking the country’s phone network and turning on an already-installed eavesdropping capability. The NSA even implanted eavesdropping capabilities in networking equipment destined for the Syrian Telephone Company.

Alternatively, an attacker could intercept the radio signals between a cell phone and a tower. Encryption ranges from very weak to possibly strong, depending on which flavor the system uses. Don’t think the attacker has to put his eavesdropping antenna on the White House lawn; the Russian Embassy is close enough.

The other way to eavesdrop on a cell phone is by hacking the phone itself. This is the technique favored by countries with less sophisticated intelligence capabilities. In 2017, the public-interest forensics group Citizen Lab uncovered an extensive eavesdropping campaign against Mexican lawyers, journalists, and opposition politicians — presumably run by the government. Just last month, the same group found eavesdropping capabilities in products from the Israeli cyberweapons manufacturer NSO Group operating in Algeria, Bangladesh, Greece, India, Kazakhstan, Latvia, South Africa — 45 countries in all.

These attacks generally involve downloading malware onto a smartphone that then records calls, text messages, and other user activities, and forwards them to some central controller. Here, it matters which phone is being targeted. iPhones are harder to hack, which is reflected in the prices companies pay for new exploit capabilities. In 2016, the vulnerability broker Zerodium offered $1.5 million for an unknown iOS exploit and only $200 for a similar Android exploit. Earlier this year, a new Dubai start-up announced even higher prices. These vulnerabilities are resold to governments and cyberweapons manufacturers.

Some of the price difference is due to the ways the two operating systems are designed and used. Apple has much more control over the software on an iPhone than Google does on an Android phone. Also, Android phones are generally designed, built, and sold by third parties, which means they are much less likely to get timely security updates. This is changing. Google now has its own phone — Pixel — that gets security updates quickly and regularly, and Google is now trying to pressure Android-phone manufacturers to update their phones more regularly. (President Trump reportedly uses an iPhone.)

Another way to hack a cell phone is to install a backdoor during the design process. This is a real fear; earlier this year, US intelligence officials warned that phones made by the Chinese companies ZTE and Huawei might be compromised by that government, and the Pentagon ordered stores on military bases to stop selling them. This is why China’s recommendation that if Trump wanted security, he should use a Huawei phone, was an amusing bit of trolling.

Given the wealth of insecurities and the array of eavesdropping techniques, it’s safe to say that lots of countries are spying on the phones of both foreign officials and their own citizens. Many of these techniques are within the capabilities of criminal groups, terrorist organizations, and hackers. If I were guessing, I’d say that the major international powers like China and Russia are using the more passive interception techniques to spy on Trump, and that the smaller countries are too scared of getting caught to try to plant malware on his phone.

It’s safe to say that President Trump is not the only one being targeted; so are members of Congress, judges, and other senior officials — especially because no one is trying to tell any of them to stop using their cell phones (although cell phones still are not allowed on either the House or the Senate floor).

As for the rest of us, it depends on how interesting we are. It’s easy to imagine a criminal group eavesdropping on a CEO’s phone to gain an advantage in the stock market, or a country doing the same thing for an advantage in a trade negotiation. We’ve seen governments use these tools against dissidents, reporters, and other political enemies. The Chinese and Russian governments are already targeting the US power grid; it makes sense for them to target the phones of those in charge of that grid.

Unfortunately, there’s not much you can do to improve the security of your cell phone. Unlike computer networks, for which you can buy antivirus software, network firewalls, and the like, your phone is largely controlled by others. You’re at the mercy of the company that makes your phone, the company that provides your cellular service, and the communications protocols developed when none of this was a problem. If one of those companies doesn’t want to bother with security, you’re vulnerable.

This is why the current debate about phone privacy, with the FBI on one side wanting the ability to eavesdrop on communications and unlock devices, and users on the other side wanting secure devices, is so important. Yes, there are security benefits to the FBI being able to use this information to help solve crimes, but there are far greater benefits to the phones and networks being so secure that all the potential eavesdroppers — including the FBI — can’t access them. We can give law enforcement other forensics tools, but we must keep foreign governments, criminal groups, terrorists, and everyone else out of everyone’s phones. The president may be taking heat for his love of his insecure phone, but each of us is using just as insecure a phone. And for a surprising number of us, making those phones more private is a matter of national security.

This essay previously appeared in the Atlantic.

EDITED TO ADD: Steven Bellovin and Susan Landau have a good essay on the same topic, as does Wired. Slashdot post.

Conspiracy Theories around the "Presidential Alert"

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/10/conspiracy_theo_2.html

Noted conspiracy theorist John McAfee tweeted:

The “Presidential alerts”: they are capable of accessing the E911 chip in your phones — giving them full access to your location, microphone, camera and every function of your phone. This not a rant, this is from me, still one of the leading cybersecurity experts. Wake up people!

This is, of course, ridiculous. I don’t even know what an “E911 chip” is. And — honestly — if the NSA wanted in your phone, they would be a lot more subtle than this.

RT has picked up the story, though.

(If they just called it a “FEMA Alert,” there would be a lot less stress about the whole thing.)

Facebook Is Using Your Two-Factor Authentication Phone Number to Target Advertising

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/10/facebook_is_usi.html

From Kashmir Hill:

Facebook is not content to use the contact information you willingly put into your Facebook profile for advertising. It is also using contact information you handed over for security purposes and contact information you didn’t hand over at all, but that was collected from other people’s contact books, a hidden layer of details Facebook has about you that I’ve come to call “shadow contact information.” I managed to place an ad in front of Alan Mislove by targeting his shadow profile. This means that the junk email address that you hand over for discounts or for shady online shopping is likely associated with your account and being used to target you with ads.

Here’s the research paper. Hill again:

They found that when a user gives Facebook a phone number for two-factor authentication or in order to receive alerts about new log-ins to a user’s account, that phone number became targetable by an advertiser within a couple of weeks. So users who want their accounts to be more secure are forced to make a privacy trade-off and allow advertisers to more easily find them on the social network.

Using a Smartphone’s Microphone and Speakers to Eavesdrop on Passwords

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/09/using_a_smartph.html

It’s amazing that this is even possible: “SonarSnoop: Active Acoustic Side-Channel Attacks“:

Abstract: We report the first active acoustic side-channel attack. Speakers are used to emit human inaudible acoustic signals and the echo is recorded via microphones, turning the acoustic system of a smart phone into a sonar system. The echo signal can be used to profile user interaction with the device. For example, a victim’s finger movements can be inferred to steal Android phone unlock patterns. In our empirical study, the number of candidate unlock patterns that an attacker must try to authenticate herself to a Samsung S4 Android phone can be reduced by up to 70% using this novel acoustic side-channel. Our approach can be easily applied to other application scenarios and device types. Overall, our work highlights a new family of security threats.

News article.

Google Tracks its Users Even if They Opt-Out of Tracking

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/08/google_tracks_i.html

Google is tracking you, even if you turn off tracking:

Google says that will prevent the company from remembering where you’ve been. Google’s support page on the subject states: “You can turn off Location History at any time. With Location History off, the places you go are no longer stored.”

That isn’t true. Even with Location History paused, some Google apps automatically store time-stamped location data without asking.

For example, Google stores a snapshot of where you are when you merely open its Maps app. Automatic daily weather updates on Android phones pinpoint roughly where you are. And some searches that have nothing to do with location, like “chocolate chip cookies,” or “kids science kits,” pinpoint your precise latitude and longitude ­- accurate to the square foot -­ and save it to your Google account.

On the one hand, this isn’t surprising to technologists. Lots of applications use location data. On the other hand, it’s very surprising — and counterintuitive — to everyone else. And that’s why this is a problem.

I don’t think we should pick on Google too much, though. Google is a symptom of the bigger problem: surveillance capitalism in general. As long as surveillance is the business model of the Internet, things like this are inevitable.

BoingBoing story.

Good commentary.

Traffic Analysis of the LTE Mobile Standard

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/07/traffic_analysi.html

Interesting research in using traffic analysis to learn things about encrypted traffic. It’s hard to know how critical these vulnerabilities are. They’re very hard to close without wasting a huge amount of bandwidth.

The active attacks are more interesting.

EDITED TO ADD (7/3): More information.

I have been thinking about this, and now believe the attacks are more serious than I previously wrote.

C is to low level

Post Syndicated from Robert Graham original https://blog.erratasec.com/2018/05/c-is-too-low-level.html

I’m in danger of contradicting myself, after previously pointing out that x86 machine code is a high-level language, but this article claiming C is a not a low level language is bunk. C certainly has some problems, but it’s still the closest language to assembly. This is obvious by the fact it’s still the fastest compiled language. What we see is a typical academic out of touch with the real world.

The author makes the (wrong) observation that we’ve been stuck emulating the PDP-11 for the past 40 years. C was written for the PDP-11, and since then CPUs have been designed to make C run faster. The author imagines a different world, such as where CPU designers instead target something like LISP as their preferred language, or Erlang. This misunderstands the state of the market. CPUs do indeed supports lots of different abstractions, and C has evolved to accommodate this.


The author criticizes things like “out-of-order” execution which has lead to the Spectre sidechannel vulnerabilities. Out-of-order execution is necessary to make C run faster. The author claims instead that those resources should be spent on having more slower CPUs, with more threads. This sacrifices single-threaded performance in exchange for a lot more threads executing in parallel. The author cites Sparc Tx CPUs as his ideal processor.

But here’s the thing, the Sparc Tx was a failure. To be fair, it’s mostly a failure because most of the time, people wanted to run old C code instead of new Erlang code. But it was still a failure at running Erlang.

Time after time, engineers keep finding that “out-of-order”, single-threaded performance is still the winner. A good example is ARM processors for both mobile phones and servers. All the theory points to in-order CPUs as being better, but all the products are out-of-order, because this theory is wrong. The custom ARM cores from Apple and Qualcomm used in most high-end phones are so deeply out-of-order they give Intel CPUs competition. The same is true on the server front with the latest Qualcomm Centriq and Cavium ThunderX2 processors, deeply out of order supporting more than 100 instructions in flight.

The Cavium is especially telling. Its ThunderX CPU had 48 simple cores which was replaced with the ThunderX2 having 32 complex, deeply out-of-order cores. The performance increase was massive, even on multithread-friendly workloads. Every competitor to Intel’s dominance in the server space has learned the lesson from Sparc Tx: many wimpy cores is a failure, you need fewer beefy cores. Yes, they don’t need to be as beefy as Intel’s processors, but they need to be close.

Even Intel’s “Xeon Phi” custom chip learned this lesson. This is their GPU-like chip, running 60 cores with 512-bit wide “vector” (sic) instructions, designed for supercomputer applications. Its first version was purely in-order. Its current version is slightly out-of-order. It supports four threads and focuses on basic number crunching, so in-order cores seems to be the right approach, but Intel found in this case that out-of-order processing still provided a benefit. Practice is different than theory.

As an academic, the author of the above article focuses on abstractions. The criticism of C is that it has the wrong abstractions which are hard to optimize, and that if we instead expressed things in the right abstractions, it would be easier to optimize.

This is an intellectually compelling argument, but so far bunk.

The reason is that while the theoretical base language has issues, everyone programs using extensions to the language, like “intrinsics” (C ‘functions’ that map to assembly instructions). Programmers write libraries using these intrinsics, which then the rest of the normal programmers use. In other words, if your criticism is that C is not itself low level enough, it still provides the best access to low level capabilities.

Given that C can access new functionality in CPUs, CPU designers add new paradigms, from SIMD to transaction processing. In other words, while in the 1980s CPUs were designed to optimize C (stacks, scaled pointers), these days CPUs are designed to optimize tasks regardless of language.

The author of that article criticizes the memory/cache hierarchy, claiming it has problems. Yes, it has problems, but only compared to how well it normally works. The author praises the many simple cores/threads idea as hiding memory latency with little caching, but misses the point that caches also dramatically increase memory bandwidth. Intel processors are optimized to read a whopping 256 bits every clock cycle from L1 cache. Main memory bandwidth is orders of magnitude slower.

The author goes onto criticize cache coherency as a problem. C uses it, but other languages like Erlang don’t need it. But that’s largely due to the problems each languages solves. Erlang solves the problem where a large number of threads work on largely independent tasks, needing to send only small messages to each other across threads. The problems C solves is when you need many threads working on a huge, common set of data.

For example, consider the “intrusion prevention system”. Any thread can process any incoming packet that corresponds to any region of memory. There’s no practical way of solving this problem without a huge coherent cache. It doesn’t matter which language or abstractions you use, it’s the fundamental constraint of the problem being solved. RDMA is an important concept that’s moved from supercomputer applications to the data center, such as with memcached. Again, we have the problem of huge quantities (terabytes worth) shared among threads rather than small quantities (kilobytes).

The fundamental issue the author of the the paper is ignoring is decreasing marginal returns. Moore’s Law has gifted us more transistors than we can usefully use. We can’t apply those additional registers to just one thing, because the useful returns we get diminish.

For example, Intel CPUs have two hardware threads per core. That’s because there are good returns by adding a single additional thread. However, the usefulness of adding a third or fourth thread decreases. That’s why many CPUs have only two threads, or sometimes four threads, but no CPU has 16 threads per core.

You can apply the same discussion to any aspect of the CPU, from register count, to SIMD width, to cache size, to out-of-order depth, and so on. Rather than focusing on one of these things and increasing it to the extreme, CPU designers make each a bit larger every process tick that adds more transistors to the chip.

The same applies to cores. It’s why the “more simpler cores” strategy fails, because more cores have their own decreasing marginal returns. Instead of adding cores tied to limited memory bandwidth, it’s better to add more cache. Such cache already increases the size of the cores, so at some point it’s more effective to add a few out-of-order features to each core rather than more cores. And so on.

The question isn’t whether we can change this paradigm and radically redesign CPUs to match some academic’s view of the perfect abstraction. Instead, the goal is to find new uses for those additional transistors. For example, “message passing” is a useful abstraction in languages like Go and Erlang that’s often more useful than sharing memory. It’s implemented with shared memory and atomic instructions, but I can’t help but think it couldn’t better be done with direct hardware support.

Of course, as soon as they do that, it’ll become an intrinsic in C, then added to languages like Go and Erlang.

Summary

Academics live in an ideal world of abstractions, the rest of us live in practical reality. The reality is that vast majority of programmers work with the C family of languages (JavaScript, Go, etc.), whereas academics love the epiphanies they learned using other languages, especially function languages. CPUs are only superficially designed to run C and “PDP-11 compatibility”. Instead, they keep adding features to support other abstractions, abstractions available to C. They are driven by decreasing marginal returns — they would love to add new abstractions to the hardware because it’s a cheap way to make use of additional transitions. Academics are wrong believing that the entire system needs to be redesigned from scratch. Instead, they just need to come up with new abstractions CPU designers can add.

Sending Inaudible Commands to Voice Assistants

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

Researchers have demonstrated the ability to send inaudible commands to voice assistants like Alexa, Siri, and Google Assistant.

Over the last two years, researchers in China and the United States have begun demonstrating that they can send hidden commands that are undetectable to the human ear to Apple’s Siri, Amazon’s Alexa and Google’s Assistant. Inside university labs, the researchers have been able to secretly activate the artificial intelligence systems on smartphones and smart speakers, making them dial phone numbers or open websites. In the wrong hands, the technology could be used to unlock doors, wire money or buy stuff online ­– simply with music playing over the radio.

A group of students from University of California, Berkeley, and Georgetown University showed in 2016 that they could hide commands in white noise played over loudspeakers and through YouTube videos to get smart devices to turn on airplane mode or open a website.

This month, some of those Berkeley researchers published a research paper that went further, saying they could embed commands directly into recordings of music or spoken text. So while a human listener hears someone talking or an orchestra playing, Amazon’s Echo speaker might hear an instruction to add something to your shopping list.

Supply-Chain Security

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

Earlier this month, the Pentagon stopped selling phones made by the Chinese companies ZTE and Huawei on military bases because they might be used to spy on their users.

It’s a legitimate fear, and perhaps a prudent action. But it’s just one instance of the much larger issue of securing our supply chains.

All of our computerized systems are deeply international, and we have no choice but to trust the companies and governments that touch those systems. And while we can ban a few specific products, services or companies, no country can isolate itself from potential foreign interference.

In this specific case, the Pentagon is concerned that the Chinese government demanded that ZTE and Huawei add “backdoors” to their phones that could be surreptitiously turned on by government spies or cause them to fail during some future political conflict. This tampering is possible because the software in these phones is incredibly complex. It’s relatively easy for programmers to hide these capabilities, and correspondingly difficult to detect them.

This isn’t the first time the United States has taken action against foreign software suspected to contain hidden features that can be used against us. Last December, President Trump signed into law a bill banning software from the Russian company Kaspersky from being used within the US government. In 2012, the focus was on Chinese-made Internet routers. Then, the House Intelligence Committee concluded: “Based on available classified and unclassified information, Huawei and ZTE cannot be trusted to be free of foreign state influence and thus pose a security threat to the United States and to our systems.”

Nor is the United States the only country worried about these threats. In 2014, China reportedly banned antivirus products from both Kaspersky and the US company Symantec, based on similar fears. In 2017, the Indian government identified 42 smartphone apps that China subverted. Back in 1997, the Israeli company Check Point was dogged by rumors that its government added backdoors into its products; other of that country’s tech companies have been suspected of the same thing. Even al-Qaeda was concerned; ten years ago, a sympathizer released the encryption software Mujahedeen Secrets, claimed to be free of Western influence and backdoors. If a country doesn’t trust another country, then it can’t trust that country’s computer products.

But this trust isn’t limited to the country where the company is based. We have to trust the country where the software is written — and the countries where all the components are manufactured. In 2016, researchers discovered that many different models of cheap Android phones were sending information back to China. The phones might be American-made, but the software was from China. In 2016, researchers demonstrated an even more devious technique, where a backdoor could be added at the computer chip level in the factory that made the chips ­ without the knowledge of, and undetectable by, the engineers who designed the chips in the first place. Pretty much every US technology company manufactures its hardware in countries such as Malaysia, Indonesia, China and Taiwan.

We also have to trust the programmers. Today’s large software programs are written by teams of hundreds of programmers scattered around the globe. Backdoors, put there by we-have-no-idea-who, have been discovered in Juniper firewalls and D-Link routers, both of which are US companies. In 2003, someone almost slipped a very clever backdoor into Linux. Think of how many countries’ citizens are writing software for Apple or Microsoft or Google.

We can go even farther down the rabbit hole. We have to trust the distribution systems for our hardware and software. Documents disclosed by Edward Snowden showed the National Security Agency installing backdoors into Cisco routers being shipped to the Syrian telephone company. There are fake apps in the Google Play store that eavesdrop on you. Russian hackers subverted the update mechanism of a popular brand of Ukrainian accounting software to spread the NotPetya malware.

In 2017, researchers demonstrated that a smartphone can be subverted by installing a malicious replacement screen.

I could go on. Supply-chain security is an incredibly complex problem. US-only design and manufacturing isn’t an option; the tech world is far too internationally interdependent for that. We can’t trust anyone, yet we have no choice but to trust everyone. Our phones, computers, software and cloud systems are touched by citizens of dozens of different countries, any one of whom could subvert them at the demand of their government. And just as Russia is penetrating the US power grid so they have that capability in the event of hostilities, many countries are almost certainly doing the same thing at the consumer level.

We don’t know whether the risk of Huawei and ZTE equipment is great enough to warrant the ban. We don’t know what classified intelligence the United States has, and what it implies. But we do know that this is just a minor fix for a much larger problem. It’s doubtful that this ban will have any real effect. Members of the military, and everyone else, can still buy the phones. They just can’t buy them on US military bases. And while the US might block the occasional merger or acquisition, or ban the occasional hardware or software product, we’re largely ignoring that larger issue. Solving it borders on somewhere between incredibly expensive and realistically impossible.

Perhaps someday, global norms and international treaties will render this sort of device-level tampering off-limits. But until then, all we can do is hope that this particular arms race doesn’t get too far out of control.

This essay previously appeared in the Washington Post.

No, Ray Ozzie hasn’t solved crypto backdoors

Post Syndicated from Robert Graham original https://blog.erratasec.com/2018/04/no-ray-ozzie-hasnt-solved-crypto.html

According to this Wired article, Ray Ozzie may have a solution to the crypto backdoor problem. No, he hasn’t. He’s only solving the part we already know how to solve. He’s deliberately ignoring the stuff we don’t know how to solve. We know how to make backdoors, we just don’t know how to secure them.

The vault doesn’t scale

Yes, Apple has a vault where they’ve successfully protected important keys. No, it doesn’t mean this vault scales. The more people and the more often you have to touch the vault, the less secure it becomes. We are talking thousands of requests per day from 100,000 different law enforcement agencies around the world. We are unlikely to protect this against incompetence and mistakes. We are definitely unable to secure this against deliberate attack.

A good analogy to Ozzie’s solution is LetsEncrypt for getting SSL certificates for your website, which is fairly scalable, using a private key locked in a vault for signing hundreds of thousands of certificates. That this scales seems to validate Ozzie’s proposal.

But at the same time, LetsEncrypt is easily subverted. LetsEncrypt uses DNS to verify your identity. But spoofing DNS is easy, as was recently shown in the recent BGP attack against a cryptocurrency. Attackers can create fraudulent SSL certificates with enough effort. We’ve got other protections against this, such as discovering and revoking the SSL bad certificate, so while damaging, it’s not catastrophic.

But with Ozzie’s scheme, equivalent attacks would be catastrophic, as it would lead to unlocking the phone and stealing all of somebody’s secrets.

In particular, consider what would happen if LetsEncrypt’s certificate was stolen (as Matthew Green points out). The consequence is that this would be detected and mass revocations would occur. If Ozzie’s master key were stolen, nothing would happen. Nobody would know, and evildoers would be able to freely decrypt phones. Ozzie claims his scheme can work because SSL works — but then his scheme includes none of the many protections necessary to make SSL work.

What I’m trying to show here is that in a lab, it all looks nice and pretty, but when attacked at scale, things break down — quickly. We have so much experience with failure at scale that we can judge Ozzie’s scheme as woefully incomplete. It’s not even up to the standard of SSL, and we have a long list of SSL problems.

Cryptography is about people more than math

We have a mathematically pure encryption algorithm called the “One Time Pad”. It can’t ever be broken, provably so with mathematics.

It’s also perfectly useless, as it’s not something humans can use. That’s why we use AES, which is vastly less secure (anything you encrypt today can probably be decrypted in 100 years). AES can be used by humans whereas One Time Pads cannot be. (I learned the fallacy of One Time Pad’s on my grandfather’s knee — he was a WW II codebreaker who broke German messages trying to futz with One Time Pads).

The same is true with Ozzie’s scheme. It focuses on the mathematical model but ignores the human element. We already know how to solve the mathematical problem in a hundred different ways. The part we don’t know how to secure is the human element.

How do we know the law enforcement person is who they say they are? How do we know the “trusted Apple employee” can’t be bribed? How can the law enforcement agent communicate securely with the Apple employee?

You think these things are theoretical, but they aren’t. Consider financial transactions. It used to be common that you could just email your bank/broker to wire funds into an account for such things as buying a house. Hackers have subverted that, intercepting messages, changing account numbers, and stealing millions. Most banks/brokers require additional verification before doing such transfers.

Let me repeat: Ozzie has only solved the part we already know how to solve. He hasn’t addressed these issues that confound us.

We still can’t secure security, much less secure backdoors

We already know how to decrypt iPhones: just wait a year or two for somebody to discover a vulnerability. FBI claims it’s “going dark”, but that’s only for timely decryption of phones. If they are willing to wait a year or two a vulnerability will eventually be found that allows decryption.

That’s what’s happened with the “GrayKey” device that’s been all over the news lately. Apple is fixing it so that it won’t work on new phones, but it works on old phones.

Ozzie’s solution is based on the assumption that iPhones are already secure against things like GrayKey. Like his assumption “if Apple already has a vault for private keys, then we have such vaults for backdoor keys”, Ozzie is saying “if Apple already had secure hardware/software to secure the phone, then we can use the same stuff to secure the backdoors”. But we don’t really have secure vaults and we don’t really have secure hardware/software to secure the phone.

Again, to stress this point, Ozzie is solving the part we already know how to solve, but ignoring the stuff we don’t know how to solve. His solution is insecure for the same reason phones are already insecure.

Locked phones aren’t the problem

Phones are general purpose computers. That means anybody can install an encryption app on the phone regardless of whatever other security the phone might provide. The police are powerless to stop this. Even if they make such encryption crime, then criminals will still use encryption.

That leads to a strange situation that the only data the FBI will be able to decrypt is that of people who believe they are innocent. Those who know they are guilty will install encryption apps like Signal that have no backdoors.

In the past this was rare, as people found learning new apps a barrier. These days, apps like Signal are so easy even drug dealers can figure out how to use them.

We know how to get Apple to give us a backdoor, just pass a law forcing them to. It may look like Ozzie’s scheme, it may be something more secure designed by Apple’s engineers. Sure, it will weaken security on the phone for everyone, but those who truly care will just install Signal. But again we are back to the problem that Ozzie’s solving the problem we know how to solve while ignoring the much larger problem, that of preventing people from installing their own encryption.

The FBI isn’t necessarily the problem

Ozzie phrases his solution in terms of U.S. law enforcement. Well, what about Europe? What about Russia? What about China? What about North Korea?

Technology is borderless. A solution in the United States that allows “legitimate” law enforcement requests will inevitably be used by repressive states for what we believe would be “illegitimate” law enforcement requests.

Ozzie sees himself as the hero helping law enforcement protect 300 million American citizens. He doesn’t see himself what he really is, the villain helping oppress 1.4 billion Chinese, 144 million Russians, and another couple billion living in oppressive governments around the world.

Conclusion

Ozzie pretends the problem is political, that he’s created a solution that appeases both sides. He hasn’t. He’s solved the problem we already know how to solve. He’s ignored all the problems we struggle with, the problems we claim make secure backdoors essentially impossible. I’ve listed some in this post, but there are many more. Any famous person can create a solution that convinces fawning editors at Wired Magazine, but if Ozzie wants to move forward he’s going to have to work harder to appease doubting cryptographers.

OMG The Stupid It Burns

Post Syndicated from Robert Graham original https://blog.erratasec.com/2018/04/omg-stupid-it-burns.html

This article, pointed out by @TheGrugq, is stupid enough that it’s worth rebutting.

The article starts with the question “Why did the lessons of Stuxnet, Wannacry, Heartbleed and Shamoon go unheeded?“. It then proceeds to ignore the lessons of those things.
Some of the actual lessons should be things like how Stuxnet crossed air gaps, how Wannacry spread through flat Windows networking, how Heartbleed comes from technical debt, and how Shamoon furthers state aims by causing damage.
But this article doesn’t cover the technical lessons. Instead, it thinks the lesson should be the moral lesson, that we should take these things more seriously. But that’s stupid. It’s the sort of lesson people teach you that know nothing about the topic. When you have nothing of value to contribute to a topic you can always take the moral high road and criticize everyone for being morally weak for not taking it more seriously. Obviously, since doctors haven’t cured cancer yet, it’s because they don’t take the problem seriously.
The article continues to ignore the lesson of these cyber attacks and instead regales us with a list of military lessons from WW I and WW II. This makes the same flaw that many in the military make, trying to understand cyber through analogies with the real world. It’s not that such lessons could have no value, it’s that this article contains a poor list of them. It seems to consist of a random list of events that appeal to the author rather than events that have bearing on cybersecurity.
Then, in case we don’t get the point, the article bullies us with hyperbole, cliches, buzzwords, bombastic language, famous quotes, and citations. It’s hard to see how most of them actually apply to the text. Rather, it seems like they are included simply because he really really likes them.
The article invests much effort in discussing the buzzword “OODA loop”. Most attacks in cyberspace don’t have one. Instead, attackers flail around, trying lots of random things, overcoming defense with brute-force rather than an understanding of what’s going on. That’s obviously the case with Wannacry: it was an accident, with the perpetrator experimenting with what would happen if they added the ETERNALBLUE exploit to their existing ransomware code. The consequence was beyond anybody’s ability to predict.
You might claim that this is just the first stage, that they’ll loop around, observe Wannacry’s effects, orient themselves, decide, then act upon what they learned. Nope. Wannacry burned the exploit. It’s essentially removed any vulnerable systems from the public Internet, thereby making it impossible to use what they learned. It’s still active a year later, with infected systems behind firewalls busily scanning the Internet so that if you put a new system online that’s vulnerable, it’ll be taken offline within a few hours, before any other evildoer can take advantage of it.
See what I’m doing here? Learning the actual lessons of things like Wannacry? The thing the above article fails to do??
The article has a humorous paragraph on “defense in depth”, misunderstanding the term. To be fair, it’s the cybersecurity industry’s fault: they adopted then redefined the term. That’s why there’s two separate articles on Wikipedia: one for the old military term (as used in this article) and one for the new cybersecurity term.
As used in the cybersecurity industry, “defense in depth” means having multiple layers of security. Many organizations put all their defensive efforts on the perimeter, and none inside a network. The idea of “defense in depth” is to put more defenses inside the network. For example, instead of just one firewall at the edge of the network, put firewalls inside the network to segment different subnetworks from each other, so that a ransomware infection in the customer support computers doesn’t spread to sales and marketing computers.
The article talks about exploiting WiFi chips to bypass the defense in depth measures like browser sandboxes. This is conflating different types of attacks. A WiFi attack is usually considered a local attack, from somebody next to you in bar, rather than a remote attack from a server in Russia. Moreover, far from disproving “defense in depth” such WiFi attacks highlight the need for it. Namely, phones need to be designed so that successful exploitation of other microprocessors (namely, the WiFi, Bluetooth, and cellular baseband chips) can’t directly compromise the host system. In other words, once exploited with “Broadpwn”, a hacker would need to extend the exploit chain with another vulnerability in the hosts Broadcom WiFi driver rather than immediately exploiting a DMA attack across PCIe. This suggests that if PCIe is used to interface to peripherals in the phone that an IOMMU be used, for “defense in depth”.
Cybersecurity is a young field. There are lots of useful things that outsider non-techies can teach us. Lessons from military history would be well-received.
But that’s not this story. Instead, this story is by an outsider telling us we don’t know what we are doing, that they do, and then proceeds to prove they don’t know what they are doing. Their argument is based on a moral suasion and bullying us with what appears on the surface to be intellectual rigor, but which is in fact devoid of anything smart.
My fear, here, is that I’m going to be in a meeting where somebody has read this pretentious garbage, explaining to me why “defense in depth” is wrong and how we need to OODA faster. I’d rather nip this in the bud, pointing out if you found anything interesting from that article, you are wrong.

Welcome Victoria — Sales Development Representative

Post Syndicated from Yev original https://www.backblaze.com/blog/welcome-victoria-sales-development-representative/

Ever since we introduced our Groups feature, Backblaze for Business has been growing at a rapid rate! We’ve been staffing up in order to support the product and the newest addition to the sales team, Victoria, joins us as a Sales Development Representative! Let’s learn a bit more about Victoria, shall we?

What is your Backblaze Title?
Sales Development Representative.

Where are you originally from?
Harrisburg, North Carolina.

What attracted you to Backblaze?
The leaders and family-style culture.

What do you expect to learn while being at Backblaze?
How to sell, sell, sell!

Where else have you worked?
The North Carolina Autism Society, an ophthalmologist’s office, home health care, and another tech startup.

Where did you go to school?
The University of North Carolina Chapel Hill and Duke University’s Fuqua School of Business.

What’s your dream job?
Fighter pilot, professional snowboarder or killer whale trainer.

Favorite place you’ve traveled?
Hawaii and Banff.

Favorite hobby?
Basketball and cars.

Of what achievement are you most proud?
Missionary work and helping patients feel better.

Star Trek or Star Wars?
Neither, but probably Star Wars.

Coke or Pepsi?
Neither, bubble tea.

Favorite food?
Snow crab legs.

Why do you like certain things?
Because God made me that way.

Anything else you’d like you’d like to tell us?
I’m a germophobe, drink a lot of water and unfortunately, am introverted.

Being on the phones all day is a good way to build up those extroversion skills! Welcome to the team and we hope you enjoy learning how to sell, sell, sell!

The post Welcome Victoria — Sales Development Representative appeared first on Backblaze Blog | Cloud Storage & Cloud Backup.

postmarketOS Low-Level

Post Syndicated from ris original https://lwn.net/Articles/751951/rss

Alpine Linux-based postmarketOS is touch-optimized and pre-configured for
installation on smartphones and other mobile devices. The postmarketOS
blog introduces
postmarketOS-lowlevel
which is a community project aimed at creating
free bootloaders and cellular modem firmware, currently focused on MediaTek
phones. “But before we get started, please keep in mind that these
are moon shots. So while there is some little progress, it’s mostly about
letting fellow hackers know what we’ve tried and what we’re up to, in the
hopes of attracting more interested talent to our cause. After all, our
philosophy is to keep the community informed and engaged during the
development phase!

Why the crypto-backdoor side is morally corrupt

Post Syndicated from Robert Graham original https://blog.erratasec.com/2018/04/why-crypto-backdoor-side-is-morally.html

Crypto-backdoors for law enforcement is a reasonable position, but the side that argues for it adds things that are either outright lies or morally corrupt. Every year, the amount of digital evidence law enforcement has to solve crimes increases, yet they outrageously lie, claiming they are “going dark”, losing access to evidence. A weirder claim is that  those who oppose crypto-backdoors are nonetheless ethically required to make them work. This is morally corrupt.

That’s the point of this Lawfare post, which claims:

What I am saying is that those arguing that we should reject third-party access out of hand haven’t carried their research burden. … There are two reasons why I think there hasn’t been enough research to establish the no-third-party access position. First, research in this area is “taboo” among security researchers. … the second reason why I believe more research needs to be done: the fact that prominent non-government experts are publicly willing to try to build secure third-party-access solutions should make the information-security community question the consensus view. 

This is nonsense. It’s like claiming we haven’t cured the common cold because researchers haven’t spent enough effort at it. When researchers claim they’ve tried 10,000 ways to make something work, it’s like insisting they haven’t done enough because they haven’t tried 10,001 times.
Certainly, half the community doesn’t want to make such things work. Any solution for the “legitimate” law enforcement of the United States means a solution for illegitimate states like China and Russia which would use the feature to oppress their own people. Even if I believe it’s a net benefit to the United States, I would never attempt such research because of China and Russia.
But computer scientists notoriously ignore ethics in pursuit of developing technology. That describes the other half of the crypto community who would gladly work on the problem. The reason they haven’t come up with solutions is because the problem is hard, really hard.
The second reason the above argument is wrong: it says we should believe a solution is possible because some outsiders are willing to try. But as Yoda says, do or do not, there is no try. Our opinions on the difficulty of the problem don’t change simply because people are trying. Our opinions change when people are succeeding. People are always trying the impossible, that’s not evidence it’s possible.
The paper cherry picks things, like Intel CPU features, to make it seem like they are making forward progress. No. Intel’s SGX extensions are there for other reasons. Sure, it’s a new development, and new developments may change our opinion on the feasibility of law enforcement backdoors. But nowhere in talking about this new development have they actually proposes a solution to the backdoor problem. New developments happen all the time, and the pro-backdoor side is going to seize upon each and every one to claim that this, finally, solves the backdoor problem, without showing exactly how it solves the problem.

The Lawfare post does make one good argument, that there is no such thing as “absolute security”, and thus the argument is stupid that “crypto-backdoors would be less than absolute security”. Too often in the cybersecurity community we reject solutions that don’t provide “absolute security” while failing to acknowledge that “absolute security” is impossible.
But that’s not really what’s going on here. Cryptographers aren’t certain we’ve achieved even “adequate security” with current crypto regimes like SSL/TLS/HTTPS. Every few years we find horrible flaws in the old versions and have to develop new versions. If you steal somebody’s iPhone today, it’s so secure you can’t decrypt anything on it. But then if you hold it for 5 years, somebody will eventually figure out a hole and then you’ll be able to decrypt it — a hole that won’t affect Apple’s newer phones.
The reason we think we can’t get crypto-backdoors correct is simply because we can’t get crypto completely correct. It’s implausible that we can get the backdoors working securely when we still have so much trouble getting encryption working correctly in the first place.
Thus, we aren’t talking about “insignificantly less security”, we are talking about going from “barely adequate security” to “inadequate security”. Negotiating keys between you and a website is hard enough without simultaneously having to juggle keys with law enforcement organizations.

And finally, even if cryptographers do everything correctly law enforcement themselves haven’t proven themselves reliable. The NSA exposed its exploits (like the infamous ETERNALBLUE), and OPM lost all its security clearance records. If they can’t keep those secrets, it’s unreasonable to believe they can hold onto backdoor secrets. One of the problems cryptographers are expected to solve is partly this, to make it work in a such way that makes it unlikely law enforcement will lose its secrets.

Summary

This argument by the pro-backdoor side, that we in the crypto-community should do more to solve backdoors, it simply wrong. We’ve spent a lot of effort at this already. Many continue to work on this problem — the reason you haven’t heard much from them is because they haven’t had much success. It’s like blaming doctors for not doing more to work on interrogation drugs (truth serums). Sure, a lot of doctors won’t work on this because it’s distasteful, but at the same time, there are many drug companies who would love to profit by them. The reason they don’t exist is not because they aren’t spending enough money researching them, it’s because there is no plausible solution in sight.
Crypto-backdoors designed for law-enforcement will significantly harm your security. This may change in the future, but that’s the state of crypto today. You should trust the crypto experts on this, not lawyers.