People are saying the pace will settle down once LLMs find and fix all the bugs. Okay, sure, if you want to believe that sort of thing, but that still leaves the much shorter time window, and that's not going to go away anytime soon.
If you're on the side of the industry where your job or hobby involves breaking things, this is all very exciting. But if you're on the side of the industry where your job is to prevent things from being broken, then it really sucks.
I lost a full day yesterday because some big players discovered a thing, told other big players about it, "oopsed" enough public information to let everyone else know about it, and then left everyone else to figure out what to do with almost no information to act upon.
This cycle has happened several times this year now. If you're on the short list of big hosting providers, you get advance notice of what's coming and early fixes; if you're not, sucks to be you, hope you didn't have any plans today.
For people like me, this is just yet one more way LLMs are making my life materially worse.
Now the simple knowledge that there might be an exploitable memory issue in some given piece of software is enough for bad actors to point LLMs at it and find the issue in hours. That will only keep getting worse.
At some point, it's going to become a speed game. If you find a vuln, you might as well disclose to everyone immediately. Anyone who runs internet-exposed software will need an agent watching for disclosures around the clock and triaging them automatically (either by upgrading, improving filtering with some protective shell, or taking the whole service offline until humans can help) to keep up with the offensive agents watching around the clock and attacking automatically.
* A bad actor finds a real, theoretically severe but not easy-to-actually-exploit vulnerability in some popular software. E.g. it's an exploit that can get you pwned 100% with RCE, but only if you are using it in configuration X on platform Y with kernel version Z on a Tuesday.
* They design a patch that closes that vulnerability but subtly opens a more dangerous one known only to them. They privately test their patch against LLM reviewers, tuning the approach until the introduced vulnerability typically escapes detection by automated review.
* They "responsibly disclose" the original exploit and helpfully share the patch. In the hurry to fix the original exploit, the patch itself gets only cursory (claudy, codexy) review. By now this has happened so many times that just applying whatever code changes ClodSed were GTG is the status quo.
* When the new vulnerability is eventually discovered, they can plausibly say "oh my agent didn't catch that", which is true. In the meantime, they use the new exploit that only they know about.
> the patch itself gets only cursory (claudy, codexy) review
FWIW Claude is actually quite good at discovering variants of existing bugs.
This still doesn't work, since attackers are much more motivated and able to pay attention to such things.
If your goal is finding vulnerabilities / stealing money / whatever, you focus all your energy looking for new exploits.
The rest of the world has other things to do (listen to users, run services, whatever) and by definition cannot spend as much of their time watching every social media in the world for the chance of an announcement.
Yeah I don't buy it either. Look at github right now, it is a total slopfest with people vibing projects they don't know the first thing about. Plenty of LLM use will be delivering code full of new exploits. It will be interesting to see the frequency of these exploits being found correlated to LLM friendly/unfriendly contribution policies once the dust has settled to tell for certain though.
Ask a top agent today to create a to-do app and watch it deploy enterprise grade security: anti CSRF, XSS, CSP, secure cookies, HMACs, rate-limiting of logins, and all kinds of things you never heard of.
I've asked it to implement a simple OAuth and saw it classify inbound IPs for private/public subnets, and put in workarounds for very theoretical DNS re-bindings attacks.
We all know LLMs love to over-engineer stuff, they are having a field day turning your static 3 page blog into crypto-exchange grade security.
I wonder if we start to hit a point where the pace that exploits are found and deployed increases faster than they get repaired, because there is a natural higher risk appetite for the bad actors, whereas the good actors still require careful thought and prudence. As a result of this, would the internet/digital economy largely seize up and crash? That would be bad, especially for a lot of people on this site. Maybe this leads to a regression in convenience, but requires more in-person interaction in order to function in society. You can already see this pattern today emerging in higher education. Maybe, in a deeper way, this improves humanity?
Only for projects that are in a maintenance state. New features will produce new bugs, unless everyone pays for the tokens to scan every release with the top-of-the-line agents or otherwise spends more time than many do ATM to ensure that changes and new code don't introduce significant exploit paths. Things will slow down once the low-hanging fruit from the past is mostly detected and pulled, but the level of vigilance will always have to be at least a little higher than it has been until recently.
Time between updates releasing and people installing them has been an increasing problem for some time, we are just going to have to be a lot more disciplined about that. This will be a problem for places that have strict availability requirements as they might have to compromise on the testing time they spend on new patches before updating their installations, and we might have to move to having more flexible maintenance windows (the old “an hour or two once a month after Patch Tuesday” hasn't cut it for some time and certainly won't going forward) to allow faster updates.
The bigger problem, compared to the patch-availability-to-general-use time which can be reduced somewhat via automation (though that might accelerate bad-patch based attacks…), is greater constraints for the time between bug discovery and patch release: as soon as there is a rumour of an issue many will start scanning for it (as that is easier now) so the time to wide exploitation is going to be much shorter. This might lead to buggy patches that add new issues of their own.
Perhaps we'll see a lot more projects having explicit LTS releases that only get security updates or signifiant bug fixes, which will reduce the attack surface area (and fault surface area) most users, letting those with less stability concerns deal with the bleeding edge.
> For people like me, this is just yet one more way LLMs are making my life materially worse.
I'm with you there…
Insufficient. Models available to you are already cyber-gimped today and seems likely that they will be moreso in the future (see the recent K3.1 announcement for example). There will be attackers that lack such handicap.
1. many have underinvested in security for a long time
2. many are checking out of the development process
I generally think we can improve software with Ai tools, but I'm skeptical the current incentives will lead to this.
It's called job security :)
Like sure it’s true that you’re more necessary now, but when you took the job you weren’t expecting to need to be elbow deep in shit every day, and you’d probably prefer to go back to the days of changing lightbulbs and vacuuming hallways
Or, if you're thinking server-side JavaScript: would the web have been more secure running PHP and Python?
The time to exploit is also somewhat hypothetical. We're assuming infinite attacker resources which hasn't really been the assumption.
We see a lot more news and fear but are we seeing more actual "large scale exploitation"?
I'd love to see some numbers in that regard.
AI skynet is killing humans. We know that already though.
The slowest that will ever be.
> second that there is a much shorter window between discovery and large-scale exploitation.
The longest that will ever be.
Aren’t exponentials beautiful?