David A. Wheeler's Blog

Sat, 23 Sep 2017

Who decides when you need to update vulnerable software? (Equifax)

I have a trick question: Who decides when you need to update vulnerable software (presuming that if it’s unpatched it might lead to bad consequences)? In a company, is that the information technology (IT) department? The chief information officer (CIO)? A policy? The user of the computer? At home, is it the user of the computer? Perhaps the family’s “tech support” person?

Remember, it’s a trick question. What’s the answer? The answer is…

The attacker decides.

The attacker is the person who decides when you get attacked, and how. Not the computer user. Not a document. Not support. Not an executive. The attacker decides. And that means the attacker decides when you need to update your vulnerable software. If that statement makes you uncomfortable, then you need to change your thinking. This is reality.

So let’s look at Equifax, and see what we can learn from it.

Let’s start with the first revelation in 2017: A security vulnerability in Apache Struts (a widely-used software component) was fixed in March 2017, but Equifax failed to update it for two whole months, leading to the loss of sensitive information on about 143 million US consumers. The update was available for free, for two months, and it was well-known that attackers were exploiting this vulnerability in other organizations. Can we excuse Equifax? Is it “too hard” to update vulnerable software (aka “patch”) in a timely way? Is it acceptable that organizations fail to update vulnerable components when those vulnerabilities allow unauthorized access to lots of sensitive high-value data?

Nonsense. Equifax may choose to fail to update known vulnerable components. Clearly it did so! But Equifax needed to update rapidly, because the need to update was decided by the attackers, not by Equifax. In fact, two months is an absurdly long time, because again, the timeframe is determined by the attacker.

Now it’s true that if you don’t plan to rapidly update, it’s hard to update. Too bad. Nobody cares. Vulnerabilities are routinely found in software components, and have been for decades. Since it is 100% predictable that there will be vulnerabilities found in the software you use (including third-party software components you reuse), you need to plan ahead. I don’t know when it will rain, but I know it will, so I plan ahead by paying for a roof and buying umbrellas. When something is certain to happen, you need to plan for it. For example, make sure you rapidly learn about vulnerabilities in third party software you depend on, and that you have a process in place (with tools and automated testing) so that you can update and ship in minutes, not months. Days, not decades.

The Apache Struts Statement on Equifax Security Breach has some great points about how to properly handle reused software components (no matter where it’s from). The Apache Struts team notes that you should (1) understand the software you use, (2) establish a rapid update process, (3) remember that all complex software has flaws, (4) establish security layers, and (5) establish monitoring. Their statement has more details, in particular for #2 they say, “establish a process to quickly roll out a security fix release… [when reused software] needs to be updated for security reasons. Best is to think in terms of hours or a few days, not weeks or months.”

Many militaries refer to the “OODA loop”, which is the decision cycle of observe, orient, decide, and act. The idea was developed by military strategist and United States Air Force Colonel John Boyd. Boyd noted that, “In order to win, we should operate at a faster tempo or rhythm than our adversaries…”. Of course, if you want to lose, then you simply need to operate more slowly than your adversary. You need to get comfortable with this adversarial terminology, because if you’re running a computer system today, you are in an adversarial situation, and the attackers are your adversaries.

In short, you must update your software when vulnerabilities are found before attackers can exploit them (if they can be exploited). If you can’t do that, then you need to change how you manage your software so can do that. Again, the attacker decides how fast you need to react.

We’re only beginnning to learn about the Equifax disaster of 2017, but it’s clear that Equifax “security” is just one failure after another. The more we learn, the worse it gets. Here are some of the information we have so far. Equifax used the rediculous pair Username “admin”, password “admin” for a database with personal employee information. Security Now! #628 showed that Equifax recommended using Netscape Navigator in their website discussion on security, a rediculously obsolete suggestion (Netscape shut down in 2003, 14 years ago). Equifax provided customers with PINs that were simply the date and time, making the PINs predictable and thus insecure. Equifax set up a “checker” site which makes false statements: “In what is an unconscionable move by the credit report company, the checker site, hosted by Equifax product TrustID, seems to be telling people at random they may have been affected by the data breach… It’s clear Equifax’s goal isn’t to protect the consumer or bring them vital information. It’s to get you to sign up for its revenue-generating product TrustID… [and] TrustID’s Terms of Service [say] that anyone signing up for the product is barred from suing the company after.” Equifax’s credit report monitoring site was found to be vulnerable to hacking (specifically, an XSS vulnerability that was quickly found by others). Equifax failed to use its own domain name for all its sites (as is standard), making it easy for others to spoof them. Indeed, NPR reported that that ”After Massive Data Breach, Equifax Directed Customers To Fake Site”. There are now suggestions that there were break-ins even earlier which Equifax never detected. In short: The more we learn, the worse it gets.

Most obviously, Equifax failed to responsibly update a known vulnerable component in a timely way. Updating software doesn’t matter when there’s no valuable information, but in this case extremely sensitive personal data was involved. This was especially sensitive data, Equifax was using a component version with a publicly-known vulnerability, and it was known that attackers were exploiting that vulnerability. It was completely foreseeable that attackers would use this vulnerable component to extract sensitive data. In short, Equifax had a duty of care that they failed to perform. Sometimes attackers perform an unprecedented kind of sneaky attack, and get around a host of prudent defenses; that would be different. But there is no excuse for failing to promptly respond when you know that a component is vulnerable. That is negligence.

But how can you quickly update software components? Does this require magic? Not at all, it just requires accepting that this will happen and so you must be ready. This is not an unpredictable event; I may not know exactly when it will happen, but I can be certain that it will happen. Once you accept that it will happen, you can easily get ready for it. There are tools that can help you monitor when your components publicly report a vulnerability or security update, so that you quickly find out when you have a problem. Package managers let you rapidly download, review, and update a component. You need to have an automated checking system that uses a variety of static tools, automated test suites, and other dynamic tools so that you can be confident that the system (with updated component) works correctly. You need to be confident that you can ship to production immediately with acceptable risk after you’ve updated your component and run your automated checking system. If you’re not confident, then your checking system is unacceptable and needs to be fixed. You also need to quickly ship that to production (and this must be automated), because again, you have to address vulnerabilities faster than the attacker.

Of course, your risks go down much further if you think about security the whole time you’re developing software. For example, you can design your system so that a defect is (1) less likely to lead to a system vulnerability or (2) has less of an impact. When you do that, then a component vulnerability will often not lead to a system vulnerability anyway. A single vulnerability in a front-end component should not have allowed such a disastrous outcome in the first place, since this was especially sensitive data, so the Equifax design also appears to have been negligent. They also failed to detect the problem for a long time; you should be monitoring high-value systems, to help reduce the impact of a vulnerability. The failure to notice this is also hard to justify. Developing secure software is quite possible, and you don’t need to break the bank to do it. It’s impossible in the real world to be perfect, but it’s very possible to be adequately secure.

Sadly, very few software developers know how to develop secure software. So I’ve created a video that’s on YouTube that should help: “How to Develop Secure Applications: The BadgeApp Example” (by David A. Wheeler). This walks through a real-world program (BadgeApp) as an example, to show approaches for developing far more secure software. If you’re involved in software development in any way, I encourage you to take a look at that video. Your software will almost certainly look different, but if you think about security throughout development, the results will almost certainly be much better. Perfection is impossible, but you can manage your risks, that is, reduce the probability and impact of attacks. There are a wide variety of countermeasures that can often prevent attacks, and they work well when combined with monitoring and response mechanisms for the relatively few attacks that get through.

The contrast between Equifax and BadgeApp is stark. Full disclosure: I am the technical lead of the BadgeApp project… but it is clear we did a better job than Equifax. Earlier this week a vulnerability was announced in one of the components (nokogiri) that is used by the BadgeApp. This vulnerability was announced on ruby-advisory-db, a database of vulnerable Ruby gems (software library components) used to report to users about component vulnerabilities. Within two hours of that announcement the BadgeApp project had downloaded the security update, run the BadgeApp application through a variety of tools and its automated test suite (with 100% statement coverage) to make sure everything was okay, and pushed the fixed version to the production site. The BadgeApp application is a simpler program, sure, but it also manages much less sensitive data than Equifax’s systems. We should expect Equifax to do at least as well, because they handle much more sensitive data. Instead, Equifax failed to update reused components with known vulnerabilities in a timely fashion.

Remember, the attacker decides.

The attacker decides how fast you need to react, what you need to defend against, and what you need to counter. More generally, the attacker decides how much you need to do to counter attacks. You do not get to decide what the attacker will choose to do. But you can plan ahead to make your software secure.

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Tue, 25 Oct 2016

Creating Laws for Computer Security

In 2016 the website KrebsonSecurity was taken down by a large distributed denial-of-service (DDoS) attack. More recently, many large sites became inaccessible due to a massive DDoS attack (see, e.g., “Hackers Used New Weapons to Disrupt Major Websites Across U.S.” by Nicole Perlroth, Oct. 21, 2016, NY Times).

Sadly, the “Internet of Things” is really the “Internet of painfully insecure things”. This is fundamentally an externalities problem (the buyers and sellers are not actually bearing the full cost of the exchange), and in these cases mechanisms like law and regulation are often used.

So, what laws or regulations should be created to improve computer security? Are there any? Obviously there are risks to creating laws and regulations. These need to be targeted at countering widespread problems, without interfering with experimentation, without hindering free expression or the development of open source software, and so on. It’s easy to create bad laws and regulations - but I believe it is possible to create good laws and regulations that will help.

My article Creating Laws for Computer Security lists some potential items that could be turned into laws that I think could help computer security. No doubt some could be improved, and there are probably things I’ve missed. But I think it’s important that people start discussing how to create narrowly-tailored laws that counter the more serious problems without causing too many negative side-effects. Enjoy!

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Wed, 04 May 2016

Get your CII best practices badge!

If you’re involved in a free / libre / open source software (FLOSS) project, go to bestpractices.coreinfrastructure.org and get your best practices badge!

The Linux Foundation’s Core Infrastructure Initiative (CII) has just announced its CII best practices badging program for FLOSS projects. It’s a free program that lets developers explain how they follow best practices, and if they do, they can get a badge that they can show on their GitHub page or anywhere else. Early badge earners include the Linux kernel, Curl, GitLab, OpenBlox, OpenSSL, Node.js and Zephyr.

The idea is straightforward. The Heartbleed vulnerability in OpenSSL made it obvious that there are widely-accepted best practices that not everyone is doing - and that even includes important projects. This isn’t just speculation; if you compare OpenSSL before Heartbleed with current OpenSSL the difference is striking. I think it’s clear that if more projects would apply generally-accepted best practices, we’d have more secure software. This badging process helps projects identify those best practices, determine if they meet them, and show everyone else that they’re meeting them.

The web application and criteria are being maintained as an open source software project, so we’d love to have you! I say “we” because I’m leading this project… but it’s not just me, and we would love to have you involved.

More detail is in the Linux Foundation press release about the best practices badging project.

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Thu, 10 Mar 2016

US government - Reusable and Open Source Software

The US White House has announced (in its blog) Leveraging American Ingenuity through Reusable and Open Source Software. They state that, “Today, we’re releasing for public comment a draft policy to support improved access to custom software code developed for the Federal Government.” They are accepting comments on this draft policy via GitHub pull requests, GitHub issues, or email. I definitely plan to take a look, and I’m sure they would like feedback from many people.

Note that I also posted this information on Twitter.

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Mon, 01 Feb 2016

Using open source software to help technology transition of research

If you’re doing software research and development (especially on how to improve computer security), and are thinking about using an open source software (OSS) approach but don’t know a lot about it, here’s something that may help: Using an Open Source Software Approach for Cybersecurity Technology Transition (IDA paper P-5279, aka the “PI guide”). If you’re an old hand at developing Free/ libre/ open source software (FLOSS or OSS), you probably know most of this information. However, I’ve found that a lot of people could use a hand. Here’s that helping hand.

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Address Sanitizer on an entire Linux distribution!

Big news in computer security: Hanno Boeck has recently managed to get Address Sanitizer running on an entire Linux distribution (Gentoo) as an experimental edition. For those who don’t know, Address Sanitizer is an amazing compile-time option that detects a huge range of memory errors in memory-unsafe languages (in particular C and C++). These kinds of errors often lead to disastrous security vulnerabilities, such as Heartbleed.

This kind of distribution option is absolutely not for everyone. Address Sanitizer on average increases processing time by about 73%, and memory usage by 340%. What’s more, this work is currently very experimental, and you have to disable some other security mechanisms to make it work. That said, this effort has already borne a lot of valuable fruit. Turning on these mechanisms across an entire Linux distribution has revealed a large number of memory errors that are getting fixed. I can easily imagine this being directly useful in the future, too. Computers are very fast and have lots of memory, even when compared to computers of just a few years earlier. There are definitely situations where it’s okay to effectively halve performance and reduce useful memory, and in exchange, significantly increase the system’s resistance to novel attack. My congrats!!

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Mon, 23 Nov 2015

Ransomware coming to medical devices?

Forrester Research has an interesting cybersecurity prediction for 2016: We’ll see ransomware for a medical device or wearable.

This is, unfortunately, plausible. I don’t know if it will happen in 2016, but it’s pretty reasonable. Indeed, I can see threats.. even if we can’t be sure that the ransomware is even installed.

After all, Dick Cheney had his pacemaker’s Wifi disabled because of this concern (see also here). People have already noted that terrorists might use this, since medical devices are often poorly secured. The additional observation is that may be a better way to (criminally) make money. We already have ransomware, including organizations who are getting better at extorting with it. Traditional ransomware is foiled by good backups; in this case backups won’t help, and victims will (understandably) be willing to pay much, much more. And I think that medical devices are actually a softer target.

With luck, this won’t come true in 2016. The question is, is that because it doesn’t show up until 2017 or 2018… or because the first ones were in 2015? DHS is funding work in this area, and that’s good… but while research can help, the real problem is that we have too many software developers who do not have a clue how to develop secure software… and too many people (software developers or not) who think that’s acceptable.

In short, we still have way too many people building safety-critical devices who don’t understand that security is necessary for safety. I hope that this changes - and quickly.

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Fri, 09 Oct 2015

Government adoption of OSS

If you’re interested in open source software (OSS), or in how governments can work better, take a look! Mark Bohannon has posted the article “U.S. report highlights positive elements of government open source adoption” on Opensource.com. This discusses a paper Tom Dunn and I wrote Open Source Software in Government: Challenges and Opportunities, and discusses a few things that have happened since. Enjoy!

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Wed, 30 Sep 2015

Reveloping open source software in Linux Foundation projects: $5 billion and 30 years

The Linux Foundation now estimates it would cost $5 billion and 30 years to redevelop “the software residing in The Linux Foundation’s collaborative projects”. That’s not even all free / libre / open source software (FLOSS). Of course, there are many caveats, but that’s still an intriguing number; it provides a simple view of just how big FLOSS has become. They also credit me, since they applied the same general process I developed earlier in my “More than a Gigabuck” paper. Thanks! If you’re interested in FLOSS, I think you’ll find this paper intriguing.

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Tue, 07 Apr 2015

Heartbleed found with american fuzzy lop (afl) and Address Sanitizer (ASan)

Big news in security vulnerability research: Hanno Böck found Heartbleed using american fuzzy lop (afl) and Address Sanitizer (ASan) - and in only 6 hours of execution time.

This means that software developers should seriously consider using a more-advanced fuzzer, such as american fuzzy lop (afl), along with Address Sanitizer (ASan) (an option in both the LLVM/clang and gcc compilers), whenever you write in C, C++, Objective-C, or in other circumstances that are not memory-safe. In particular, seriously consider doing this if your program is exposed to the internet or it processes data sent via the internet (practically all programs meet this criteria nowadays). I had speculated that this combination could have found Heartbleed in my essay on Heartbleed, but this confirmation is really important. Here I will summarize what’s going on (using the capitalization conventions of the various tool developers).

The american fuzzy lop (afl) program created by Michal Zalewski is a surprisingly effective fuzzer. A fuzzer is simply a tool that sends lots of semi-random inputs into a program and to detect gross problems (typically a crash). Fuzzers do not know what the exact correct answers are, but because they do not, they can try out more inputs than systems that know the exact correct answers. But afl is smarter than most fuzzers; instead of just sending random inputs, afl tracks which branches are taken in a program. Even more interestingly, afl even tracks how often different branches are taken when running a program (that is especially unusual). Then, when afl creates new inputs, it prefers to create them based on inputs that have produced different counts on at least some branches. This evolutionary approach, using both branch coverage and the number of times a branch is used, is remarkably effective. Simple dumb random fuzzers can only perform relatively shallow tests; getting any depth has required more complex approaches such as detailed descriptions of the required format (the approach used by so-called “smart” fuzzers) and/or white-box constraint solving (such as fuzzgrind or Microsoft’s SAGE). It’s not at all clear that afl eliminates the value of these other fuzzing approaches; I can see combining their approaches. However, afl is clearly getting far better results than simple dumb fuzzers that just send random values. Indeed, the afl of today is getting remarkably deep coverage for a fuzzer. For example, the post Pulling JPEGs out of thin air shows how afl was able to start with only the text “hello” (a hideously bad starting point) and still automatically figure out how to create valid JPEG files.

However, while afl is really good at creating inputs, it can only detect problems if they lead to a crash; vulnerabilities like Heartbleed do not normally cause a crash. That’s where Address Sanitizer (ASan) comes in. Address Sanitizer turns many memory access errors, including nearly all out-of-bounds accesses, double-free, and use-after-free, into a crash. ASan was originally created by Konstantin Serebryany, Derek Bruening, Alexander Potapenko, and Dmitry Vyukov. ASan is amazing all by itself, and the combination is even better. The fuzzer afl is good at creating inputs, and ASan is good at turning problems into something that afl can detect. Both are available at no cost as Free/ libre/ open source software (FLOSS), so anyone can try them out, see how they work, and even make improvements.

Normally afl can only fuzz file inputs, but Heartbleed could only be triggered by network access. This is no big deal; Hanno describes in his article how to wrap up network programs so they can be fuzzed by file fuzzers.

Sometimes afl and ASan do not work well together today on 64-bit systems. This has to do with some technical limitations involving memory use; on 64-bit systems ASan reserves (but does not use) a lot of memory. This is not necessarily a killer; in many cases you can use them together anyway (as Hanno did). More importantly, this problem is about to go away. Recently I co-authored (along with Sam Hakim) a tool we call afl-limit-memory; it uses Linux cgroups to eliminate the problem so that you can always combine afl and ASan (at least on Linux). We have already submitted the code to the afl project leader, and we hope it will become part of afl soon. So this is already a disappearing problem.

There are lots of interesting related resources. If you want to learn about fuzzing more generally, some books you might want to read are Fuzzing: Brute Force Vulnerability Discovery by Sutton, Greene, and Amini and Fuzzing for Software Security Testing and Quality Assurance (Artech House Information Security and Privacy) by Takanen, DeMott, and Miller. My class materials for secure software design and programming, #9 (analysis tools), also cover fuzzing (and are freely available). The Fuzzing Project led by Hanno is an effort to encourate the use of fuzzing to improving the state of free software security, and includes some tutorials on how to do it. The paper AddressSanitizer: A Fast Address Sanity Checker is an excellent explanation of how ASan works. My essay How to Prevent the next Heartbleed discusses many different approaches that would, or would not, have detected Heartbleed.

I do not think that fuzzers (or any dynamic technique) completely replace static analysis approaches such as source code weakness analyzers. Various tools, including dynamic tools like fuzzers and static tools like source code weakness analyzers, are valuable complements for finding vulnerabilities before the attackers do.

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Sat, 04 Apr 2015

Security presentation updates

I’ve updated my presentations on how to design and implement secure software. In particular, I’ve added much about analysis tools and formal methods. There is a lot going on in those fields, and no matter what I do I am only scratching the surface. On the other hand, if you have not been following these closely, then there’s a lot you probably don’t know about. Enjoy!

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Fri, 27 Mar 2015

Z3 is OSS!

Z3 has been released as open source software under the MIT license! This is great news. Z3 is a good satisifiability modulo theories (SMT) solver / theorem prover from Microsoft Research. An SMT solver accepts a set of constraints (such as “a<5 and a>1”) and tries to produce values that satisfy all the constraints. A satisfiability (SAT) solver does this too, but SAT solvers can only work with boolean variables; SMT solvers can handle other types, such as integers. Here is a Z3 tutorial.

SMT solvers are basically lower-level tools that have many uses for building larger capabilities, because many problems require solving logical formulas to find a solution.

I am particularly interested in the use of SMT solvers to help prove that programs do something or do not do something. Why3 is a platform that lets you write programs and their specifications, and then calls out to various provers to try to determine if the claims are true. By itself Why3 only supports its WhyML language, but Why3 can be combined with other tools to prove statements in other languages. Those include C (using Frama-C and a plug-in), Java, and Ada. People have been able to prove tiny programs for decades, but scaling up to bigger programs in practice requires a lot of automation. I think this approach of combining many different tools, with different strengths, is very promising.

The more tools that are available to Why3, the more likely it will solve problems automatically. That’s because different tools use different heuristics and focus on different issues, resulting in different ones being good at different things. There are already several good SMT solvers available as OSS, including CVC4 and alt-ergo.

Now that Microsoft has released Z3 as OSS, there is yet another strong OSS SMT solver that tools like Why3 can use directly. In short, the collection of OSS SMT solvers has just become even stronger. There’s a standard for SMT solver inputs, the SMT-LIB format, so it’s not hard to take advantage of many SMT solvers. My hope is that this will be another step in making it easier to have strong confidence in software.

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Wed, 11 Mar 2015

Plans for HTTPS (SSL/TLS) on this site

Currently this website uses only HTTP, and does not support HTTPS. That means that users cannot trivially authenticate what they receive, and that in some cases users reveal to others what they are viewing on the site. (Technical note: HTTPS is implemented by a lower-level protocol; the current protocol versions of this protocol are named TLS, and the older ones are named SSL, but a lot of people use the term SSL to include TLS.) I would like to use HTTPS, but this website is entirely self-funded. I do have a plan, though.

My current plan is that I am waiting for Let’s encrypt to stand up and be ready. Once that gets going, I intend to use it to add support for HTTPS. I’d like to eventually only support HTTPS, since that prevents downgrade attacks, but I need to make sure that the TLS certificates and configuration works well. Also, I pay others to maintain the server; since I am not made of money, I necessarily use low-end cheap services. That will limit what I can do in terms of HTTPS configuration hardening. On the other hand, it should be better than the current situation.

The software I develop is generally available on SourceForge or GitHub, and they already provide HTTPS, so you don’t need to wait for that. Currently you have to log into SourceForge to get HTTPS, but that is expected to change, and for now just log in.

Anyway, I thought some of you might like to know that there is a plan.

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Sat, 14 Feb 2015

Learning from Disaster

Learning from Disaster is a collection of essays that examines computer security disasters, and what we can learn from those disasters. This includes Heartbleed, Shellshock, POODLE, the Apple goto fail, and Sony Pictures. If you’re interested in computer security I think you’ll find this collection interesting.

So: please enjoy Learning from Disaster.

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Tue, 06 Jan 2015

Cloud security

There seems to be a lot of confusion about security fundamentals of cloud computing (and other utility-based approaches). For example, many people erroneously think hardware virtualization is required for clouds (it is not), or that hardware virtualization and containerization are the same (they are not).

My essay Cloud Security: Virtualization, Containers, and Related Issues is my effort to counteract some of this confusion. It has a quick introduction to clouds, a contrast of various security isolation mechanisms used to implement them, and a discussion of some related issues.

So please check out (and enjoy) Cloud Security: Virtualization, Containers, and Related Issues.

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Wed, 31 Dec 2014

I hope we learn from the computer security problems of 2014

As 2014 draws to a close, I hope anyone involved with computers will resolve to learn from the legion of security problems of 2014.

We had way too many serious vulnerabilities in widely-used software revealed in 2014. In each case, there are lessons that people could learn from them. Please take a look at the lessons that can be learned from Heartbleed, Shellshock, the POODLE attack on SSLv3, and the Apple goto fail vulnerability. More generally, a lot of information is available on how develop secure software - even though most software developers still do not know how to develop secure software. Simiarly, there are a host of lessons that organizations could learn from Sony Pictures.

Will people actually learn anything? Georg Wilhelm Friedrich Hegel reportedly said that, “We learn from history that we do not learn from history”.

Yet I think there are reasons to hope. There are a lot of efforts to improve the security of Free/Libre/Open Source Software (FLOSS) that are important yet inadequately secure. The Linux Foundation (LF) Core Infrastructure Initiative (CII) was established to “fund open source projects that are in the critical path for core computing functions” to improve their security. most recent European Union (EU) budget includes €1 million for auditing free-software programs to identify and fix vulnerabilities. The US DHS HOST project is also working to improve security using open source software (OSS). The Google Application Security Patch Reward Program is also working to improve security. And to be fair, these problems were found by people who were examining the software or protocols so that the problems could be fixed - exactly what you want to happen. At an organizational level, I think Sony was unusually lax in its security posture. I am already seeing evidence that other organizations have suddenly become much more serious about security, now that they see what has been done to Sony Pictures. In short, they are finally starting to see that security problems are not theoretical; they are real.

Here’s hoping that 2015 will be known as the year where people took computer security more seriously, and as a result, software and our computer systems became much harder to attack. If that happens, that would make 2015 an awesome year.

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Sat, 20 Dec 2014

Sony Pictures, Lax Security, and Passwords

Sony Pictures, Lax Security, and Passwords is a new essay about the devastating attack on Sony Pictures. We now have new information about how Sony Pictures was attacked; from that, and public information about Sony Pictures, we can see why the attack was so devastating. Even more importantly, we can learn from it. So please, take a look at Sony Pictures, Lax Security, and Passwords.

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Sun, 23 Nov 2014

Lessons learned from Apple goto fail

The year 2014 has not been a good year for the SSL/TLS protocol. SSL/TLS is the fundamental algorithm for securing web applications. Yet every major implementation has had at least one disastrous vulnerability, including Apple (goto fail), GnuTLS, OpenSSL (Heartbleed), and Microsoft. Separately a nasty attack has been found in the underlying SSLv3 protocol (POODLE). But instead of just noting those depressing statistics, we need to figure out why those vulnerabilities happened, and change how we develop software to prevent them from happening again.

To help, I just released The Apple goto fail vulnerability: lessons learned, a paper that is similar to my previous papers that focuses on how to counter these kinds of vulnerabilities in the future. In many ways Apple goto fail vulnerability was much more embarassing compared to Heartbleed; the goto fail vulnerability was easy to detect, in a portion that was a key part of its functionality. This vulnerability was reported back in February 2014, but there does not seem to be a single place where you can find a more complete list of approaches to counter it. I also note some information that doesn’t seem to be available elsewhere.

So if you develop software - or manage people who do - take a look at The Apple goto fail vulnerability: lessons learned.

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Wed, 22 Oct 2014

Peter Miller and improving make

First, a sad note. Peter Miller died on 2014-07-27 from leukemia. He did a lot of important things, including writing the influential paper “Recursive Make Considered Harmful”. Rest in peace.

I should point out an essay I’ve written about improving make. Make is widely used, but the POSIX standard for it lacks key functions, including vital ones that Peter Miller pointed out years ago. Thankfully, progress has been made. My hope is that progress will continue to happen; I welcome help for improving the standard and implementations of make.

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Mon, 20 Oct 2014

Open Source Software in U.S. Government

The report “Open Source Software in Government: Challenges and Opportunities” is available to the public (you can jump to the “Download full report” link at the bottom). This paper, which I co-authored, discusses key challenges and opportunities in the U.S. government application of open source software (OSS). It became publicly available only recently, even though it was finished a while back; I hope it’s been worth the wait. If you’re interested in the issues of OSS and government, I think you’ll find this report very illuminating.

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