A lot of money seems to be placed to find bugs in open source projects right now... maybe they can spend just a little bit of this money on people to fix these bugs
Seems like there should be some "level of maintenance" metric for modules and distros can pick which they include by default and which are packaged separately based on what they care about. Arch users will build the world but an EL user who needs an unmaintained module would have to explicitly install kmod-isdn or even build it themselves
Are we already in the time, or close to the time, that well-trained LLMs are more efficient in finding security holes than all but the best developers out there, even for OS kernel code? Can someone educate me on this?
My theory is, that a lot of security bugs are low hanging fruit for LLMs in the sense that it is a bit tedious but not that hard pattern matching. (Let's see the free occurs in foo(), so if I trigger bar() after foo() then I have a use after free, that should be possible if I trigger an exception in baz::init().)
In terms of quantity, definitely yes (a single person managing a swarm of Opusi can already find much more real bugs than a security researcher, hence the rise in reports).
In terms of quality ("are there bugs that professional humans can't see at any budget but LLMs can?") - it's not very clear, because Opus is still worse than a human specialist, but Mythos might be comparable. We'll just have to wait and see what results Project Glasswing gets.
Either way, cybersecurity is going to get real weird real soon, because even slightly-dumb models can have a large effect if they are cheap and fast enough.
EDIT: Mozilla thinks "no" to the second question, by the way: "Encouragingly, we also haven’t seen any bugs that couldn’t have been found by an elite human researcher.", when talking about the 271 vulnerabilities recently found by Mythos. https://blog.mozilla.org/en/firefox/ai-security-zero-day-vul...
There is also a huge surface area of security problems that can't happen in practice due to how other parts of the code work. A classic example is unsanitized input being used somewhere where untrusted users can't inject any input.
Being flooded with these kind of reports can make the actual real problems harder to see.
My experience with these tools is that they generate absolutely enormous amounts of insidiously wrong false positives, and it actually takes a decent amount of skill to work through the 99% which is garbage with any velocity.
Of course some people don't do that, and send all the reports anyway... and then scream from the hilltops about how incredible LLMs are when by sheer luck one happens to be right. Not only is that blatant p-hacking, it's incredibly antisocial.
It's disingenuous marketing speak to say LLMs are "finding" any security holes at all: they find a thousand hypotheticals of which one or two might be real. A broken clock is right twice a day.
I used GitHub's Copilot once and let it check one of my repositories for security issues. It found countless (like 30 or 40 or so for a single PHP file of some ~400 lines). Some even sounded reasonable enough, so I had a closer look, just to make sure. In the end none of it was an issue at all. In some cases it invented problems which would have forced to add wild workaround code around simple calls into the PHP standard library. And that was the only time I wasted my time with that. :D
Your experience seems to be at least 3-6 months old. Long time kernel maintainers have recently written on this subject. They say that ~3 months ago the quality and accuracy of the reports crossed a threshold and are now legitimately useful.
I strongly disagree with this take, and frankly, this reads like the state of "research" pre-LLMs where people would run fuzzers and scripted analysis tools (which by their nature DO generate enormous amounts of insidiously wrong false positives) and stuff them into bug bounty boxes, then collect a paycheck when one was correct by luck.
Modern LLMs with a reasonable prompt and some form of test harness are, in my experience, excellent at taking a big list of potential vulnerabilities and figuring out which ones might be real. They're also pretty good, depending on the class of vuln and the guardrails in the model, at developing a known-reachable vulnerability into real exploit tooling, which is also a big win. This does require the _slightest_ bit of work (ie - don't prompt the LLM with "find possible use after free issues in this code," or it will give you a lot of slop; prompt the LLM with "determine whether the memory safety issues in this file could present a security risk" and you get somewhere), but not some kind of elaborate setup or prompt hacking, just a little common sense.
"Even for OS kernel code" is doing a lot of work. What you really mean is "legacy C code" and yes, since about 6 months ago these systems have gotten reliable enough that they are basically superhuman at identifying buffer overflows / etc. A remarkable number of these bugs are fixed by adding a (if (length > MAX_BUFFER) {return -1;}), just the classic C footguns. Even as a huge LLM skeptic I am not too too surprised that these systems might be superhuman at finding tedious tricky stuff like this.
At the same time, a lot of these bugs were in places that people weren't looking because it's not actually important. This kernel code had already been a longstanding problem in terms of low-effort bot-driven security reports and nobody had any interest in maintaining it. So this was more LLM-assisted technical management than LLM-assisted security, it finally made a situation uncomfortable enough for the team to do something about it.
Another example: Mythos found a real bug in FreeBSD that occurs when running as an NFS with a public connection. But... who on earth is doing that? I would guess 99.9% of FreeBSD NFS installations are on home LANs. More importantly, Anthropic spent $20,000 to find this bug. Just think in terms of paying a full-time FreeBSD dev for a month and that's what they find: I'd say "ok, looks like FreeBSD has a pretty secure codebase, let's fix that stupid bug, stop wasting our money, and get you on a more exciting project."
I do think anyone who has a legacy open-source C/C++ codebase owes it to their users to run it by Claude/Codex, check your pointers and arrays, make sure everything looks ok. I just wish people were able to discuss it in proper context about other native debugging tools!
> well-trained LLMs are more efficient in finding security holes than all but the best developers out there, even for OS kernel code?
No.
Like everything else an LLM touches, it is prone to slop and hallucinations.
You still need someone who knows what they are doing to review (and preferably manually validate) the findings.
What all this recent hype carefully glosses over is the volume of false-positives. I guarantee you it is > 0 and most likely a fairly large number.
And like most things LLM, the bigger the codebase the more likely the false-positives due to self-imposed context window constraints.
Its all very well these blog posts saying "LLM found this serious bug in Firefox", well yeah but that's only because the security analyst filtered out all the junk (and knew what to ask the LLM in the prompt in the first place).
A 0% false-positive rate is not necessary for LLM-powered security review to be a big deal. It was worthless a few months ago, when the models were terrible at actually finding vulnerabilities and so basically all the reports were confabulated, with a false positive rate of >95%. Nowadays things are much better - see e.g. [1] by a kernel maintainer.
Another way to see this is that you mentioned "LLM found this serious bug in Firefox", but the actual number in that Mozilla report [2] was 14 high-severity bugs, and 90 minor ones. However you look at it, it's an impressive result for a security audit, and I dount that the Antropic team had to manually filter out hundreds-to-thousands of false-positives to produce it.
They did have to manually write minimal exploits for each bug, because Opus was bad at it[3]. This is a problem that Mythos doesn't have. With access to Mythos, to repeat the same audit, you'd likely just need to make the model itself write all the exploits, which incidentally would also filter out a lot of the false positives. I think the hype is mostly justified.
> As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation.
"More efficient" of course has many axes (cost, energy consumption, manual labor requirement vs cost of human, time, quality, etc.). However, as a long-time reverse engineer and exploit developer who has worked in the field professionally, I would say LLMs are now useful; their utility exceeds that which was previously available. That is, LLM assisted exploit discovery and especially development is faster, more efficient, and ultimately cheaper than non-LLM assisted processes.
What commenters don't seem to understand is that especially CVE spam / bug bounty type vulnerability research has always been an exercise in sifting through useless findings and hallucinations, and LLMs, used well, are great at reducing this burden.
Previously, a lot of "baseline" / bottom tier research consisted of "run fuzzers or pentest tools against a product; if you're a bottom feeder just stuff these vulns all into the submission box, if you're more legit, tediously try to figure out which ones are reachable." LLMs with a test harness do an _amazing_ job at reducing this tedium; in the memory safety space "read across 50 files to figure out if this UAF might be reachable" or in the web space, "follow this unsanitized string variable to see if it can be accessed by the user" are tasks that LLMs with a harness are awesome. The current models are also about 50% there at "make a chain for this CVE," depending on the shape of the CVE (they usually get close given a good test harness).
It seems that the concern with the unreleased models is pretty much that this has advanced once again from where it is today (where you need smart prompting and a good harness) to the LLM giving you exploit chains in exchange for "giv 0day pl0x," and based on my experience, while this has got an element of puffery and classic capitalist goofiness to it ("the model is SO DANGEROUS only our RICHEST CUSTOMERS can have it!"), I believe this is just a small incremental step and entirely believable.
To summarize: "more efficient than all but the best" comes with too many qualifiers, but "are LLMs meaningfully useful in exercising vulnerabilities in OS kernel code," or "is it possible to accelerate vulnerability research and development with LLMs" - 100% absolutely.
And you don't have to believe one random professional (me); this opinion is fairly widespread across the community:
> They can't maintain the code so they are no longer going to maintain the code.
Yes, I don't see the point of maintaining technical debt just for the sake of it.
The security environment in 2026 is such that legacy unmaintained code is a very real security risk for obscure zero-days to exploit to gain a foot in the door.
Reading through the list I don't see it being an issue for the overwhelming majority of Linux users.
Who, for example, still uses ISDN in 2026 ? Most telcos have stopped all new sales and existing ISDN circuits will be forcefully disconnected within 3–5 years as the telcos complete their FTTP build-outs and the copper network is subsequently decomissioned.
I doubt it. And as I said, telcos have ceased new sales of ISDN and will be shutting down copper networks within 3–5 years.
Therefore if there are still TV and radio stations still using it, they will be forced to stop using it by circumstance, i.e. they will find their ISDN will cease working after the telco shuts down the kit in the exchange.
The overlap of bugs being found, nobody caring enough to bother read the reports or fix the code, and nobody caring that the modules are pushed out of main seems good.
You're being downvoted but I think you're right in a lot of ways. If you read through the patches for some of the removals, the reasons come down to:
- Nobody is familiar with the code
- Almost all of the recent fixes are from static analysis
- Nobody is even sure if anyone uses the code
This feels a lot like CPython culling stdlib modules and making them pypi packages. The people who rely on those things have a little bit of extra work if they want a recent kernel version, and everyone else benefits (directly or indirectly) by way of there being less stuff that needs attention.
and the code is in the training set, so you can trivially[0] ask an LLM to summon it back either from memory or just by asking it to revert the removal commit.
[0] not trivially if you want to validate if it works
Maybe attackers would focus on these unused bits for very niche products, but generally no one would waste their time.
In general, drivers make up the largest attack surface in the kernel and many of them are just along for the ride rather than being actively maintained and reviewed by researchers.
why do they even need to be in kernel repo and not brought at/after install time?
People have been asking this question since Linux was first invented…
Xbox/PS controllers, for example. I believe some old WiFi drivers are removed too.
In terms of quality ("are there bugs that professional humans can't see at any budget but LLMs can?") - it's not very clear, because Opus is still worse than a human specialist, but Mythos might be comparable. We'll just have to wait and see what results Project Glasswing gets.
Either way, cybersecurity is going to get real weird real soon, because even slightly-dumb models can have a large effect if they are cheap and fast enough.
EDIT: Mozilla thinks "no" to the second question, by the way: "Encouragingly, we also haven’t seen any bugs that couldn’t have been found by an elite human researcher.", when talking about the 271 vulnerabilities recently found by Mythos. https://blog.mozilla.org/en/firefox/ai-security-zero-day-vul...
Being flooded with these kind of reports can make the actual real problems harder to see.
The plural of "Opus" is "Opera". Might be a tad confusing tho :)
Of course some people don't do that, and send all the reports anyway... and then scream from the hilltops about how incredible LLMs are when by sheer luck one happens to be right. Not only is that blatant p-hacking, it's incredibly antisocial.
It's disingenuous marketing speak to say LLMs are "finding" any security holes at all: they find a thousand hypotheticals of which one or two might be real. A broken clock is right twice a day.
Modern LLMs with a reasonable prompt and some form of test harness are, in my experience, excellent at taking a big list of potential vulnerabilities and figuring out which ones might be real. They're also pretty good, depending on the class of vuln and the guardrails in the model, at developing a known-reachable vulnerability into real exploit tooling, which is also a big win. This does require the _slightest_ bit of work (ie - don't prompt the LLM with "find possible use after free issues in this code," or it will give you a lot of slop; prompt the LLM with "determine whether the memory safety issues in this file could present a security risk" and you get somewhere), but not some kind of elaborate setup or prompt hacking, just a little common sense.
At the same time, a lot of these bugs were in places that people weren't looking because it's not actually important. This kernel code had already been a longstanding problem in terms of low-effort bot-driven security reports and nobody had any interest in maintaining it. So this was more LLM-assisted technical management than LLM-assisted security, it finally made a situation uncomfortable enough for the team to do something about it.
Another example: Mythos found a real bug in FreeBSD that occurs when running as an NFS with a public connection. But... who on earth is doing that? I would guess 99.9% of FreeBSD NFS installations are on home LANs. More importantly, Anthropic spent $20,000 to find this bug. Just think in terms of paying a full-time FreeBSD dev for a month and that's what they find: I'd say "ok, looks like FreeBSD has a pretty secure codebase, let's fix that stupid bug, stop wasting our money, and get you on a more exciting project."
I do think anyone who has a legacy open-source C/C++ codebase owes it to their users to run it by Claude/Codex, check your pointers and arrays, make sure everything looks ok. I just wish people were able to discuss it in proper context about other native debugging tools!
No.
Like everything else an LLM touches, it is prone to slop and hallucinations.
You still need someone who knows what they are doing to review (and preferably manually validate) the findings.
What all this recent hype carefully glosses over is the volume of false-positives. I guarantee you it is > 0 and most likely a fairly large number.
And like most things LLM, the bigger the codebase the more likely the false-positives due to self-imposed context window constraints.
Its all very well these blog posts saying "LLM found this serious bug in Firefox", well yeah but that's only because the security analyst filtered out all the junk (and knew what to ask the LLM in the prompt in the first place).
Another way to see this is that you mentioned "LLM found this serious bug in Firefox", but the actual number in that Mozilla report [2] was 14 high-severity bugs, and 90 minor ones. However you look at it, it's an impressive result for a security audit, and I dount that the Antropic team had to manually filter out hundreds-to-thousands of false-positives to produce it.
They did have to manually write minimal exploits for each bug, because Opus was bad at it[3]. This is a problem that Mythos doesn't have. With access to Mythos, to repeat the same audit, you'd likely just need to make the model itself write all the exploits, which incidentally would also filter out a lot of the false positives. I think the hype is mostly justified.
[1] https://lwn.net/Articles/1065620/
[2] https://blog.mozilla.org/en/firefox/hardening-firefox-anthro...
[3] https://www.anthropic.com/news/mozilla-firefox-security
> As part of our continued collaboration with Anthropic, we had the opportunity to apply an early version of Claude Mythos Preview to Firefox. This week’s release of Firefox 150 includes fixes for 271 vulnerabilities identified during this initial evaluation.
What commenters don't seem to understand is that especially CVE spam / bug bounty type vulnerability research has always been an exercise in sifting through useless findings and hallucinations, and LLMs, used well, are great at reducing this burden.
Previously, a lot of "baseline" / bottom tier research consisted of "run fuzzers or pentest tools against a product; if you're a bottom feeder just stuff these vulns all into the submission box, if you're more legit, tediously try to figure out which ones are reachable." LLMs with a test harness do an _amazing_ job at reducing this tedium; in the memory safety space "read across 50 files to figure out if this UAF might be reachable" or in the web space, "follow this unsanitized string variable to see if it can be accessed by the user" are tasks that LLMs with a harness are awesome. The current models are also about 50% there at "make a chain for this CVE," depending on the shape of the CVE (they usually get close given a good test harness).
It seems that the concern with the unreleased models is pretty much that this has advanced once again from where it is today (where you need smart prompting and a good harness) to the LLM giving you exploit chains in exchange for "giv 0day pl0x," and based on my experience, while this has got an element of puffery and classic capitalist goofiness to it ("the model is SO DANGEROUS only our RICHEST CUSTOMERS can have it!"), I believe this is just a small incremental step and entirely believable.
To summarize: "more efficient than all but the best" comes with too many qualifiers, but "are LLMs meaningfully useful in exercising vulnerabilities in OS kernel code," or "is it possible to accelerate vulnerability research and development with LLMs" - 100% absolutely.
And you don't have to believe one random professional (me); this opinion is fairly widespread across the community:
https://sockpuppet.org/blog/2026/03/30/vulnerability-researc...
https://lwn.net/Articles/1065620/
etc.
Yes, I don't see the point of maintaining technical debt just for the sake of it.
The security environment in 2026 is such that legacy unmaintained code is a very real security risk for obscure zero-days to exploit to gain a foot in the door.
Reading through the list I don't see it being an issue for the overwhelming majority of Linux users.
Who, for example, still uses ISDN in 2026 ? Most telcos have stopped all new sales and existing ISDN circuits will be forcefully disconnected within 3–5 years as the telcos complete their FTTP build-outs and the copper network is subsequently decomissioned.
Most TV and radio stations.
I doubt it. And as I said, telcos have ceased new sales of ISDN and will be shutting down copper networks within 3–5 years.
Therefore if there are still TV and radio stations still using it, they will be forced to stop using it by circumstance, i.e. they will find their ISDN will cease working after the telco shuts down the kit in the exchange.
The overlap of bugs being found, nobody caring enough to bother read the reports or fix the code, and nobody caring that the modules are pushed out of main seems good.
- Nobody is familiar with the code
- Almost all of the recent fixes are from static analysis
- Nobody is even sure if anyone uses the code
This feels a lot like CPython culling stdlib modules and making them pypi packages. The people who rely on those things have a little bit of extra work if they want a recent kernel version, and everyone else benefits (directly or indirectly) by way of there being less stuff that needs attention.
[0] not trivially if you want to validate if it works
In general, drivers make up the largest attack surface in the kernel and many of them are just along for the ride rather than being actively maintained and reviewed by researchers.