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It's not actually vulnerable. You're absolutely right. I made a critical error. It's NOT vulnerable. It' actually vulnerable. You're absolutely right. I made a critical error. It IS vulnerable. It's not actually vulnerable. You're absolutely right. I made a critical error. It's NOT vulnerable.
SQLite Critical CVEs or LLM Slop?
121–130 of 406 posts
Re: SQLite Critical CVEs or LLM Slop?
#122There should be some sort of defamation lawsuit possible when people publicly publish trash repos or reports like this. If you were writing a competing product in a safe language you’d love to see such FUD.
Re: SQLite Critical CVEs or LLM Slop?
#123Honest take, this is a critical CVE.
Re: SQLite Critical CVEs or LLM Slop?
#124We can chalk this up as another example of over-exhuberance by what folks believe LLMs can accomplish vs. what they actually are. LLM-based “AI” is able to use its vast corpus of inputs and calculate the most statistically likely output in a given situation. It is probabilistic, and when you are dealing with probabilities in a situation where certainties, not probabilities, matter, you’re going to get dinged on credi…
Re: SQLite Critical CVEs or LLM Slop?
#125Earlier quoted context omitted.
The comment is making fun of a Claude-ism where it becomes super “honest” about stuff. It’s a joke but there is an underlying real effect where this type of language is psychologically manipulative and I would guess makes people believe LLMs output more than if it didn’t use “honest” (or “load bearing” or whatever super serious important sounding word).
Or maybe they didn't train it that way to be manipulative (although it's certainly a plausible explanation) but simply as an accidental artifact of trying to make it give honest answers? LLM-generated images sometimes includes text from the prompt as literal text in the image, so perhaps this is the same sort of artifact? If they've told it to be honest, it responds by talking about being honest instead of actually b…
Re: SQLite Critical CVEs or LLM Slop?
#126Re: SQLite Critical CVEs or LLM Slop?
#127Earlier quoted context omitted.
IMHO that’s why binaries and libraries should be separate packages. Drives me buts with npm packages.
Thats not enough. This problem pops up everywhere people do CVE analysis. If a tertiary part of some library is hit by some arbitrary CVE, why should that affect the core functionality people actually use? If I use ChaCha20, and that's bundled in a library with md5.do I care that their md5 library has a vulnerability? No, not really. If you keep driving the "seperate the packages" angle you end up with is-odd, and th…
Re: SQLite Critical CVEs or LLM Slop?
#128Earlier quoted context omitted.
The vast majority of CVEs are not exploitable, basically noise. I suspect that the overwhelming majority of the CVEs being generated by LLMs are either noise of the sort in the linked article or noise of the sort that is not exploitable.
This is what I truly don't like about the CVE system. One such example is CVE-2023-45853 [1]. Zlib included in it's source an extra set of utilities and add-ons. One such utility, MiniZip, had a buffer overflow vulnerability. BAM, 8.8 CVE (was a 9, looks like they pulled it back a bit). But not one that the 99% of applications using zlib would ever be vulnerable to because almost nobody used the MiniZip utility. It w…
Even if some individual case can be shown to be safe from being combined, can we identify such cases with enough confidence to justify using it reduce severity warnings?
Re: SQLite Critical CVEs or LLM Slop?
#129We can chalk this up as another example of over-exhuberance by what folks believe LLMs can accomplish vs. what they actually are. LLM-based “AI” is able to use its vast corpus of inputs and calculate the most statistically likely output in a given situation. It is probabilistic, and when you are dealing with probabilities in a situation where certainties, not probabilities, matter, you’re going to get dinged on credi…
Unfortunately people sometimes get defensive against this take. But I think treating the LLM as you described can make you a better LLM user and help get better output. It helps understand the failure modes better, and moderate one’s reliance on them. Just like how we should do for every tool we work with.
Re: SQLite Critical CVEs or LLM Slop?
#130Earlier quoted context omitted.
The vast majority of CVEs are not exploitable, basically noise. I suspect that the overwhelming majority of the CVEs being generated by LLMs are either noise of the sort in the linked article or noise of the sort that is not exploitable.
> The vast majority of CVEs are not exploitable, basically noise. This is not true if you consider security-in-depth. Many of them are exploitable on their own but maybe not in combination with other issues that are as yet unknown or known but not patched everywhere. As a simple example a local privilege escalation issue that is not exploitable on a device that only I ever have access to, essentially becomes a remote…