SSC’s Tuatara clocked a record 316.11 mph (508.73 km/h) on a dusty desert highway outside Las Vegas.

https://www.youtube.com/embed/N22JfNHiC1k

source: K

This statement bears some resemblance to Justice Thomas’ statement in early 2019 that the Supreme Court should reconsider the actual malice standard from New York Times v. Sullivan. Like this statement, that statement was anti-media, pro-censorship, and quite unpersuasive. So far, the Supreme Court hasn’t taken up Justice Thomas’ initiative against the actual malice standard. I hope this statement suffers the same fate.

This post details my adventures with the Linux virtual memory subsystem, and my discovery of a creative way to taunt the OOM (out of memory) killer by accumulating memory in the kernel, rather than in userspace.

Good look at practical realities.

source: L

That is, if you add a small number to a large number then if the small number is “too small” then the large number may (in the default/sane round-to-nearest mode) stay at the same value.

Because of this the loop spins endlessly and the push command runs until the array hits the size limits. If there were no size limits then the push command would keep running until the entire machine ran out of memory, so, yay?

A mixed metaphor walks into a bar, seeing the handwriting on the wall but hoping to nip it in the bud.

A misplaced modifier walks into a bar owned by a man with a glass eye named Ralph.

Research unveiled on Thursday in Science finds that crows know what they know and can ponder the content of their own minds, a manifestation of higher intelligence and analytical thought long believed the sole province of humans and a few other higher mammals

https://science.sciencemag.org/content/369/6511/1626

source: K

The behavior of the Windows scheduler changed significantly in Windows 10 2004, in a way that will break a few applications, and there appears to have been no announcement, and the documentation has not been updated. This isn’t the first time this has happened, but this change seems bigger than last time.

The short version is that calls to timeBeginPeriod from one process now affect other processes less than they used to, but there is still an effect.

This is tediously complex, IMO (as someone who doesn’t use the service in question), but the conclusion is worth considering.

In my experience, tricky vulnerabilities like this often exist where developers have to interact with external systems and services. A strong developer might be able to reason about all security boundaries, requirements and pitfalls of their own software, but it becomes very difficult once a complex external service comes into play. Modern cloud IAM solutions are powerful and often more secure than comparable on-premise solutions, but they come with their own security pitfalls and a high implementation complexity. As more and more companies move to the big cloud providers, familiarity with these technology stacks will become a key skill for security engineers and researchers and it is safe to assume that there will be a lot of similar issues in the next few years.

Finally, both discussed vulnerabilities demonstrate how difficult it is to write secure software. Even with memory-safe languages, strong cryptography primitives, static analysis and large fuzzing infrastructure, some issues can only be discovered by manual code review and an attacker mindset.

So Rust is going really well for us at Oxide, but for the moment I want to focus on more personal things — reasons that I personally have enjoyed implementing in Rust. These run the gamut: some are tiny but beautiful details that allow me to indulge in the pleasure of the craft; some are much more profound features that represent important advances in the state of the art; and some are bodies of software developed by the Rust community, notable as much for their reflection of who is attracted to Rust (and why) as for the artifacts themselves.

source: L

Just like many other mysteries, our mystery of the phantom reference ultimately had a very simple explanation: sloppy writing and sloppy quality control. An academic incentive system that makes publication in Web of Science listed conference proceedings popular invokes the law of big numbers. Thus the actual number of mistakes rose to be high enough to be noticeable, even though the mistake was only committed by a tiny fraction of the authors.

Looking back on the early multimedia adventures of the Teenage Mutant Ninja Turtles, with a bit of nostalgia on the side.

Previously: https://tedium.co/2019/08/20/teenage-mutant-ninja-turtles-nunchucks-censorship/

What I want to focus on is (2), because it’s a lesson we learned the hard way in cryptography and didn’t transfer effectively to the rest of security engineering.

One of my favorite cryptographic attacks is the Bleichenbacher‘06 signature forgery. I wrote up how it works when I found it in python-rsa, so again go read that, but here’s a tl;dr. When you verify an RSA PKCS#1 v1.5 signature, you get a ASN.1 DER structure wrapping the message hash that you need to check. If you don’t parse it strictly, for example by allowing extra fields or trailing bytes, an attacker can fake the signature. This was exploited countless times.

The lesson we learned was that instead of parsing the ASN.1 DER to extract the message hash, we should reconstruct the ASN.1 DER we’d expect to see, and then simply compare it byte-by-byte.

The same technique would have saved Vault.

If only one of file1 and file2 is a directory, diff shall be applied to the non-directory file and the file contained in the directory file with a filename that is the same as the last component of the non-directory file.

The idea was simple, I’ve always felt that code readability is undervalued so I figured I’d put cold hard cash up. I announced a $1,000 pot, divided into $500, $300, and $200 prizes for the most readable implementations of Daniel Lemire’s nearly divisionless algorithm for selecting a random number from an interval. I now have winners to announce and congratulate, and they’re in this blog post, but there’s more to this story.

At work I was debugging a performance issue in one of our Elixir applications and stumbled across the strange implementation of Elixir’s System.get_env/0 function. In this blog post I’ll show how it caused performance issues for the application I was debugging and I’ll also propose a better implementation of the function. I’ll conclude by explaining why the better implementation is not used yet.

source: L

This section documents the exploit mitigations applicable to the Rust compiler when building programs for the Linux operating system on the AMD64 architecture and equivalent.

source: L

In the early days, Zig was but a thin frontend in front of LLVM. This was instrumental for getting started quickly and filling in gaps of Andrew’s knowledge as a compiler developer. Now, the training wheels of the bicycle are coming off, and LLVM is transitioning into an optional component.

The move to a self-hosted compiler for Zig has similar advantages for the core contributors, but it also makes LLVM an optional dependency, increases compilation speed (instead of losing it), and adds an amazing feature for debug builds of your code: incremental compilation with in-place binary patching, another unique Zig feature.

source: L

Ammar checked, and sure enough, his code was sending hundreds of thousands of requests per second. It didn’t take him long to figure out why: requests from the watchdog were failing with a 500 error, so it called the login method. The login method had been succeeding, so another watchdog got scheduled. Thirty seconds later, that failed, as did all the previously scheduled watchdogs, which all called login again. Which, on success, scheduled a fresh round of watchdogs. Every thirty seconds, the number of scheduled calls doubled. Before long, Ammar’s code was DoSing the API.

Fun times.

A 1955 Rand Corp. book had a reputation as the go-to source for figures used by pollsters, analysts, researchers; engineer Gary Briggs has ruined it

I would say ruined is more than a bit strong, but good story.

Mr. Briggs hypothesized a technician dropped cards and put them back in the wrong order. He envisioned running computer simulations to re-create the error by moving a card or two out of place.

We’ve become a nation that relies on dips, sauces, and dressings to make everything taste better—or at least bolder. Where exactly does that end?