Honkinwaffle

Honkinwaffle

@honkinwaffles.com

Tech nerd, info-sec enthusiast, systems admin

49 followers56 following358 posts

Honkinwaffle reposted

Big news: @FrameworkPuter is more than tripling its sponsorship of CachyOS, from $250/month to $10,200/year! 🎉 This helps keep our infrastructure running and brings us closer to working on CachyOS full-time. Thank you, Framework! 💚

Big hype small results.

daniel:// stenberg://@bagder.mastodon.social.ap.brid.gy

#Mythos finds a #curl vulnerability yes, as in singular one. https://daniel.haxx.se/blog/2026/05/11/mythos-finds-a-curl-vulnerability/

daniel.haxx.seMythos finds a curl vulnerabilityyes, as in singular _one_. Back in April 2026 Anthropic caused a lot of media noise when they concluded that their new AI model _Mythos_ is _dangerously good_ at finding security flaws in source code. Apparently Mythos was so good at this that Anthropic would not release this model to the public yet but instead trickle it out to a selected few companies for a while to allow a few good ones(?) to get a head start and fix the most pressing problems first, before the general populace would get their hands on it. The whole world seemed to lose its marbles. Is this the end of the world as we know it? An amazingly successful marketing stunt for sure. ## My (non-) access Part of the deal with _project Glasswing _was that Anthropic also offered access to their latest AI model to “Open Source projects” via Linux Foundation. Linux Foundation let their project Alpha Omega handle this part, and I was contacted by their representatives. As lead developer of curl I was offered access to the magic model and I graciously accepted the offer. Sure, I’d like to see what it can find in curl. I signed the contract for getting access, but then nothing happened. Weeks went past and I was told there was a hiccup somewhere and access was delayed. Eventually, I was instead offered that someone else, who has access to the model, could run a scan and analysis on curl for me using Mythos and send me a report. To me, the distinction isn’t that important. It’s not that I would have a lot of time to explore lots of different prompts and doing deep dive adventures anyway. Getting the tool to generate a first proper scan and analysis would be great, whoever did it. I happily accepted this offer. (I am purposely leaving out the identity of the individual(s) involved in getting the curl analysis done as it is not the point of this blog post.) ## AI scans of curl Before this first Mythos report, we had already scanned curl with several different very capable AI powered tools (I mean _in addition to_ running a number of “normal” static code analyzers all the time, using the pickiest compiler options and doing fuzzing on it for years etc). Primarily AISLE, Zeropath and OpenAI’s Codex Security have been used to scrutinize the code with AI. These tools and the analyses they have done have triggered somewhere between _two and three hundred_ bugfixes merged in curl through-out the recent 8-10 months or so. A bunch of the findings these AI tools reported were confirmed vulnerabilities and have been published as CVEs. Probably a dozen or more. Nowadays we also use tools like GitHub’s Copilot and Augment code to review pull requests, and their remarks and complaints help us to land better code and avoid merging new bugs. I mean, we still merge bugs of course but the PR review bots regularly highlight issues that we fix: our merges would be worse without them. The AI reviews are used _in addition_ to the human reviews. They help us, they don’t replace us. We also see a high volume of high quality security reports flooding in: security researchers now use AI extensively and effectively. Security is a _top_ _priority_ for us in the curl project. We follow every guideline and we do software engineering properly, to reduce the number of flaws in code. Scanning for flaws is just one of many steps to keep this ship safe. You need to search long and hard to find another software project that makes as much or goes further than curl, for software security. Steps involved in keeping curl secure ## May 6, 2026 It was with great anticipation we received the first source code analysis report generated with Mythos. Another chance for us to find areas to improve and bugs to fix. To make an even better curl. This initial scan was made on curl’s git repository and its master branch of a certain recent commit. It counted 178K lines of code analyzed in the src/ and lib/ subdirectories. The analysis details several different approaches and methods it has performed the search, and how it has focused on trying to find which flaws. A fun note in the top of the report says: > curl is one of the most fuzzed and audited C codebases in existence (OSS-Fuzz, Coverity, CodeQL, multiple paid audits). Finding anything in the hot paths (HTTP/1, TLS, URL parsing core) is unlikely. … and it correctly found no problems in those areas. Completely unscientific poll on Mastodon about people’s expectations for Mythos scanning curl ## The size of curl curl is currently 176,000 lines of C code when we exclude blank lines. The source code consists of 660,000 words, which is 12% more words than the entire English edition of the novel War and Piece. On average, every single production source code line of curl has been written (and then rewritten) 4.14 times. We have polished on this. Right now, the existing production code in git master that still remains, has been authored by 573 separate individuals. Over time, a total of 1,465 individuals have so far had their proposed changes merged into curl’s git repository. We have published 188 CVEs for curl up until now. curl is installed in over _twenty million instances_. It runs on over _110 operating systems_ and _28 CPU architectures_. It runs in every smart phone, tablet, car, TV, game console and server on earth. ## Five findings became one The report concluded it found **five** “Confirmed security vulnerabilities”. I think using the term _confirmed_ is a little amusing when the AI says it confidently by itself. Yes, the AI thinks they are confirmed, but the curl security team has a slightly different take. Five issues felt like nothing as we had expected an extensive list. Once my curl security team fellows and I had poked on the this short list for a number of hours and dug into the details, we had trimmed the list down and were left with _one_ confirmed vulnerability. The other four were three false positives (they highlighted shortcomings that are documented in API documentation) and the fourth we deemed “just a bug”. The single confirmed vulnerability is going to end up a _severity low_ CVE planned to get published in sync with our pending next curl release 8.21.0 in late June. The flaw is not going to make anyone grasp for breath. All details of that vulnerability will of course not get public before then, so you need to hold out for details on that. The Mythos report on curl also contained a number of spotted bugs that it concluded were not vulnerabilities, much like any new code analyzer does when you run it on hundreds of thousands of lines of code. All the bugs in the report are being investigated and one bye one we are fixing those that we agree with. All in all about twenty bugs that are described and explained very nicely. Barely any false positives, so I presume they have had a rather high threshold for certainty. curl is certainly getting better thanks to this report, but counted by the volume of issues found, all the previous AI tools we have used have resulted in larger bugfix amounts. This is only natural of course since the first tools we ran had many more and easier bugs to find. As we have fixed issues along the way, finding new ones are slowly becoming harder. Additionally, a bug can be small or big so it’s not always fair to just compare numbers ## Not particularly “dangerous” My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing. I see no evidence that this setup finds issues to any particular higher or more advanced degree than the other tools have done before Mythos. Maybe this model is a little bit better, but even if it is, it is not better to a degree that seems to make a significant dent in code analyzing. This is just _one_ source code repository and maybe it is much better on other things. I can only tell and comment on what it found here. ## Still very good But allow me to highlight and reiterate what I have said before: AI powered code analyzers are _significantly_ better at finding security flaws and mistakes in source code than any traditional code analyzers did in the past. All modern AI models are good at this now. Anyone with time and some experimental spirits can find security problems now. The high quality chaos is real. Any project that has not scanned their source code with AI powered tooling will likely find huge number of flaws, bugs and possible vulnerabilities with this new generation of tools. Mythos will, and so will many of the others. Not using AI code analyzers in your project means that you leave adversaries and attackers time and opportunity to find and exploit the flaws you don’t find. ## How AI analyzers differ * They can spot when the comment says something about the code and then conclude that the code does not work as the comment says. * It can check code for platforms and configurations we otherwise cannot run analyzers for * It “knows” details about 3rd party libraries and their APIs so it can detect abuse or bad assumptions. * It “knows” details about protocols curl implements and can question details in the code that seem to violate or contract protocol specifications * They are typically good at summarizing and explaining the flaw, something which can be rather tedious and difficult with old style analyzers. * They can often generate and offer a patch for its found issue (even if the patch usually is not a 100% fix). ## More details from the report **Zero memory-safety vulnerabilities found.** Methodology note: this review is hand-driven analysis using LLM subagents for parallel file reads, with every candidate finding re-verified by direct source inspection in the main session before being recorded. The CVE to variant-hunt mapping was built from curl’s own vuln.json. No automated SAST tooling was used. This outcome is consistent with curl’s status as one of the most heavily fuzzed and audited C codebases. The defensive infrastructure (capped dynbufs everywhere, `curlx_str_number` with explicit max on every numeric parse, `curlx_memdup0` overflow guard, CURL_PRINTF format-string enforcement, per-protocol response-size caps, pingpong 64KB line cap) systematically closes the bug classes that would normally be productive in a codebase this size. Coverage now includes: all minor protocols, all file parsers, all TLS backends’ verify paths, http/1/2/3, ftp full depth, mprintf, x509asn1, doh, all auth mechanisms, content encoding, connection reuse, session cache, CLI tool, platform-specific code, and CI/build supply chain. ## AI finds existing kinds of errors It should be noted that the AI tools find the usual and established kind of errors we already know about. It just finds new instances of them. We have not seen any AI so far report a vulnerability that would somehow be of a novel kind or something totally new. They do not reinvent the field in that way, but they do dig up more issues than any other tools did before. ## More to find These were absolutely not the last bugs to find or report. Just while I was writing the drafts for this blog post we have received more reports from security researchers about suspected problems. The AI tools will improve further and the researchers can find new and different ways to prompt the existing AIs to make them find more. We have not reached the end of this yet. I hope we can keep getting more curl scans done with Mythos and other AIs, over and over until they truly stop finding new problems. ## Credits Thanks to Anthropic and Alpha Omega for providing the model, the tools and doing the scan for us. Thanks also to the individual who did the scan for us. Much appreciated! Top image by Jin Kim from Pixabay Thanks for flying curl. It’s never dull.

Honkinwaffle reposted

I spent nearly 4 months investigating the inner workings of a North Korean state-sponsored hacking group. Here's what I learned: 🧵 - The group used generative AI tools to aid in almost every part of their operation. - They exfiltrated 26,584 cryptocurrency wallets from 2,726 victim systems. 1/3

Honkinwaffle reposted

We are very happy that today Apple issued a patch and a security advisory. This comes following 404 Media reporting that the FBI accessed Signal message notification content via iOS despite the app being deleted.

Its been really interesting seeing the conversations about Myhos. Because Anthropic themselves did something similar in the past its easy to dismiss them and I still do to some degree. This time around though, they've got a lot of professionals defending the language used by Anthropic about Mythos.

Patrick Howell O’Neill@patrickhowelloneill.com

There's a huge difference between "we're in a genuinely important moment" and using apocalypse-coded language for marketing, some skepticism and scorn is warranted, but I'd just advise non-experts to pump the breaks before correcting practitioners who say their field is being reshaped

Last week I was telling people to update Chrome right away as it’s being actively exploited. Then a week later I’m telling people “if you updated your monitoring software you’re infected”. This is a dammed if you do dammed if you don’t situation.

Crazyness going on. Even our monitoring applications hit with that supply chain attack.

vx-underground (automated mirror)@vxundergroundre.bsky.social

Mr. Titus Tech is correct. cpuid-dot-com is indeed delivering malware right now. As I began poking this with I stick I discovered this is not your typical run-of-the-mill malware. This malware is deeply trojanized, distributes from a compromised domain (cpuid-dot-com), performs file

I can't wait for Aprils Ovetake of the month!

Formula 1@f1tv.bsky.social

The March nominees are in for Overtake of the Month! 💪 Vote for your favourite for the chance to win Paddock Club tickets in 2027 🗳️ #F1 #cryptocom

What? Why? Microslop continues to prove why you shouldn't use their OS.

vx-underground (automated mirror)@vxundergroundre.bsky.social

Microsoft suspended the developer account for WireGuard (and also VeraCrypt). Why? Literally nobody knows. Presumably it's because Microsoft hates everyone and wants us all to suffer.

Honkinwaffle reposted

A strange hypothetical, I know, but I've been thinking: I love planes - Wouldn't it be awesome to own a private jet? Maybe even one with gold fixtures! It'd cost so much to operate though... That's "multiple homes" money. Not to mention the environmental impact! I could never.

Honkinwaffle reposted

Was there a rule they could only use 1969 technology?Throwback jersey night at NASA

niki grayson@nikigrayson.com

right now the astronauts are calling houston because the computer on the spaceship is running two instances of microsoft outlook and they can't figure out why. nasa is about to remote into the computer

Neat, Claude has proven to be a useful tool. Its gotten a lot better in the last little while as well.

Jay 🦋@jay.bsky.team

Bluesky is made with AI, the engineers and even some non-engineers use Claude code

Fucking insane that these supply chain attacks are only deploying smash and grab style crypto stealers. With the ability to potentially impact millions of sites and billions of users, it seems like they could be a lot smarter about this.

vx-underground (automated mirror)@vxundergroundre.bsky.social

Axios supply chain attack information is fucking exploding right now. In the cybersecurity scene right now you can hit refresh every second and see new information on the Axios supply chain attack Nerds are bugging out Preliminary information confirmed: - Compromised a key Axios GitHub

After doing a bit of the math, 400 monthly downloads is about 550k an hour. So if this malware was only available for 1 hour thats still a lot of infected users who might have crypto for you to steal.

Honkinwaffle reposted

CrunchyRoll has been compromised. An unknown Threat Actor bribed a third-party helpdesk contractor who intentionally detonated malware in CrunchyRoll's computer network. Over 100GB of customer data was stolen. Information and photos via @IntCyberDigest

It appears Windows 11 might actually get better. If all these promises are fufilled I might check it out. Going to take a while to remove copilot from every corner they shoved it into though. Interested in seeing the promised performance improvements for File Explorer.

"Google details new 24-hour process to sideload unverified Android apps". We need to stop catering to fucking morons. If you are dumb enough to install malware on your device then to fucking bad. The dumbing down of technolgy is so fucking annoying.

I've been thinking of buying these 10g Nics for like $110 for 3. Get 5g to the door from the ISP and 10g all around. But I've identified a problem. My Unraid server only has 1x16x and 1x8x slots and they are already occupied by my GPU and HBA.

I picked up a PC from marketplace today. This tower came with the exact same case as the first PC I bought at 13 years old. I’ve spent the night cleaning it, and setting up Windows XP. I plan on getting some upgrades to this, new power supply, fans, some more ram, Linux, etc.

Todays "To busy to stop and think if I should" moment. Tower cooler on a laptop. This worked surprisingly well for just being slapped on top of the laptop CPU cooler.

Apples new laptop is going to destroy the budget market. Super smart move from them to do this. Every student in uni now has a clear and simple base choice for PC at $600...

I think its impressive its taken Microslop this long to ruing all good will that existed for Minecraft. The control they want over private servers is gross.

Honkinwaffle reposted

Replying to @vxundergroundre.bsky.social

Discord knows everyone will bitch and moan on the internet, SOBBMAXXING, but 99.9% of people will hand over their identification. They'll be scared, or reluctant, but they'll do it anyway so they can keep their yellow badge in their Harry Potter Fan Fiction Roleplay Discord

Honkinwaffle reposted

Discord is only popular because it's convenient. It's shrimple to use, shrimple to install, and requires almost no critical thought to configure. The masses do not care about security, or privacy, or whatever. They want easy. tl;dr discord normiemogged teamoids

Discord will roll this out to people who interact with systems that require verification. Most people won't notice any changes at first. Some people will leave right away but the majority wont. Only enough to fragment the population, forcing people to return. Eventually, nothing will change.