Google says criminal hackers used AI to find a major software flaw

https://www.nytimes.com/2026/05/11/us/politics/google-hackers-attack-ai.html

by donohoe • 2 months ago

244 172 2 months ago

nytimes.com

Unlocked: https://www.nytimes.com/2026/05/11/us/politics/google-hacker..., https://archive.ph/I4Ui5

https://apnews.com/article/google-ai-cybersecurity-exploitat...

https://www.cnbc.com/2026/05/11/google-thwarts-effort-hacker...

CrzyLngPwd• 2 months ago

People used LLMs to find flaws in Google software.

amelius2• 2 months ago

But did they use Gemini?

freedomben• 2 months ago

I don't know, but given how often Gemini refuses benign requests IME, I would suspect it's a complete non-starter for finding security holes.

Andrex• 2 months ago

the company added that it did not believe it was its own Gemini chatbot.

-TFA

adrianmonk• 2 months ago

If you're talking about the incident described in the article, it says it was a flaw in "a popular open-source, web-based system administration tool".

Google's blog (https://cloud.google.com/blog/topics/threat-intelligence/ai-...) says Google "worked with the impacted vendor to responsibly disclose this vulnerability", so in this incident, it's not Google software.

simmerup2• 2 months ago

Can google please use AI to find bugs then?

Software is in such a state now, Gmail is full of bugs around sharing attachments to the position that I have to tell my dad to turn his phone off and on again in order to attach a document

j2kun2• 2 months ago

https://secgemini.google/

https://projectzero.google/2024/10/from-naptime-to-big-sleep...

https://deepmind.google/blog/introducing-codemender-an-ai-ag...

JCTheDenthog• 2 months ago

Those are all for security vulnerabilities, OP is talking about bugs with functionality.

andrepd2• 2 months ago

It's probably the AI overuse introducing many of those bugs in the first place...

simmerup2• 2 months ago

I can’t help but think that, Apple is big on AI and their software seems to be going to hell too.

SecretDreams3• 2 months ago

If "bad guy AI" can find flaws, can "good guy AI" patch them faster when backed by trillion dollar companies?

cyanydeez• 2 months ago

If I sell weapons to both sides of a conflict, can I become rich?

SecretDreams3• 2 months ago

Ask anyone selling AI hardware recently!

mindcrime• 2 months ago

No. To become really rich you have to draw a 3rd player into the conflict, and then sell weapons to them as well.

BLKNSLVR2• 2 months ago

Yes.

Please refer to any seller of weapons ever.

j2kun2• 2 months ago

The bottleneck is probably validating and deploying the fix, which requires coordination.

boothby• 2 months ago

Do your AI patches introduce fewer flaws than they repair?

SecretDreams3• 2 months ago

That's a trillion dollar question.

ccimmergreen• 2 months ago

"Google used AI to find a major software flaw" — there, fixed it for you, happy?

4128-1228• 2 months ago

The Google Threat Intelligence Group wants to increase its relevance and casually point out the it was not Mythos which found the exploit!

Security "researchers" are overpaid buffoons who hype things for their own salaries and their companies. And the stenographers from the press dutifully copy everything.

This is a despicable game to fool politicians into giving money and favorable AI legislation.

Strangely enough these buffoons never offer their models to open source developers. It is always a select group of highly paid other buffoons that throws some very occasional results over the wall.

s3p• 2 months ago

But new A.I. models like Anthropic’s Mythos, which was announced last month, appear to be so good at finding such holes that Anthropic shared it only with a limited number of firms and government agencies in the United States and Britain.

Immediate distrust of the article. GPT 5.5 is out with nearly the same capability. The author might be parroting company marketing, unable to discern that a lot of this is much less complex than it seems. For all we know this group could have had a model examine some obscure line of code thousands of times until it found something.

reaperducer3• 2 months ago

Immediate distrust of the article… The author might be parroting company marketing, unable to discern that a lot of this is much less complex than it seems.

https://www.nytimes.com/by/dustin-volz

I am based in The Times’s Washington bureau, and much of my focus is on the dealings of U.S. cybersecurity and intelligence agencies, including the National Security Agency, Central Intelligence Agency, Cybersecurity and Infrastructure Security Agency and the Federal Bureau of Investigation, as well as their counterparts abroad, chiefly in China, Russia, Iran and North Korea.
My remit spans nation-state hacking conflict, digital espionage, online influence operations, election meddling, government surveillance, malicious use of A.I. tools and other related topics.
Before joining The Times, I worked at The Wall Street Journal, where I spent eight years covering cyber conflict and intelligence. My recent work at The Journal included a series of articles revealing a major Chinese intrusion of America’s telecommunications networks that breached the F.B.I.’s wiretap systems and has been described as one of the worst U.S. counterintelligence failures in history. I have also worked at Reuters and National Journal, where I began my career in Washington chronicling congressional efforts to reform surveillance practices at the N.S.A. in the wake of the 2013 Edward Snowden disclosures.
My work has been internationally recognized, including by the White House Correspondents’ Association, the Gerald Loeb Awards, the Society of Publishers in Asia and the Society for Advancing Business Editing and Writing.

What have you done lately?

flextheruler2• 2 months ago

https://www.logicallyfallacious.com/logicalfallacies/Appeal-...

LudwigNagasena• 2 months ago

Reporting on such stuff requires networking skills, not technical knowledge.

megous• 2 months ago

How many zeroday vulns had the article author discovered using AI assisted methods?

himata4113• 2 months ago

nytimes reporters have recently been very disappoiting and starting to feel like they're people who managed to become relevant long time ago, but haven't kept up with recent changes and are just parroting things others have said instead of unique thoughts.

kubik369• 2 months ago

Your comment was surely well meant, but you could have plainly stated that the article author is a seasoned reporter instead of the snarky reply.

GP might be incorrect in stating that the author is parroting Anthropic's marketing, but the author certainly does not go out of his way to specify that these are only Anthropic's claims. It is actually a bit ironic as the article linked[0] from the quoted part (by another author) uses the correct phrasing when dealing with such claims:

Anthropic, the artificial intelligence company that recently fought the Pentagon over the use of its technology, has built a new A.I. model that it claims is too powerful to be released to the public.

[0] https://archive.ph/GC6WP#selection-4713.0-4713.200

ofjcihen3• 2 months ago

Okay, well I’ve done more than that and I say he’s right. Now what?

LPisGood• 2 months ago

What have you done lately?

I feel like this website is a particularly dangerous place to ask that and hope it to be a “mic drop” moment. There are a lot of highly accomplished engineers, scientists, founders CEOs, etc. here that could easily respond to that with any manner of impressive qualifications.

crazygringo3• 2 months ago

Your comment would be be fine without the snarky final sentence.

ozozozd• 2 months ago

Lately I’ve been trying to think critically. I am not perfect, but I can recognize appeal to authority from a mile away.

An argument from authority (Latin: argumentum ab auctoritate, also called an appeal to authority, or argumentum ad verecundiam) is a form of argument in which the opinion of an authority figure (or figures) is used as evidence to support an argument. The argument from authority is often considered a logical fallacy and obtaining knowledge in this way is fallible.

cobolcomesback• 2 months ago

GPT 5.5 does not have the same capabilities as Mythos. There is a separate 5.5-Cyber model which is the Mythos “equivalent”, but it is similarly restricted access like Mythos. Per OpenAI, the major difference is the built-in safeguards that 5.5 (and other models have), where 5.5-Cyber does not have these safeguards and is more “permissive” for security work.

See https://openai.com/index/gpt-5-5-with-trusted-access-for-cyb...

ofjcihen3• 2 months ago

I have access to the Cyber version. It’s great at cybersecurity work but only marginally better than its predecessor with the right jailbreaking.

I imagine Mythos is going to be the same story from what I’ve seen so far.

nullstyle• 2 months ago

That reminds me:

I got cajoled the other day that I need to upload my ID and ask for 5.5-Cyber access by the Codex desktop app while I was having it develop a fuzzing suite for an open source library I'm(we?) are developing. I was able to berate it into getting back to work.

This struck me as a point of emergent enshittification; an anus if you will.

bluGill2• 2 months ago

That is very clearly the claim of mythos though. The experience of projects that do have access to mythos though suggests that if you use the other models it's not going to find much of anything. Which is to say generally we believe it is marketing as you say however the claim that the reporter said is very clearly stated even if it's not right.

sowbug• 2 months ago

Security will be a wedge to restrict the sophistication of open-weight and local LLMs, just as it's been used to demonize and restrict cypherpunk technologies.

kshacker• 2 months ago

As long as it is within the country, restriction works. How do you restrict the capability from a foreign entity, especially a hostile one?

jazzyjackson• 2 months ago

netsplit, I guess. decide that the risk of an open network is too great and simply block all routing out of the country through the ISPs and consider the political power that goes along with a global satellite constellation under rule of a single, government-aligned corporation.

2ndorderthought• 2 months ago

If they tried to lock down local models more people would use them. They would also have to take down a few us companies in the process who would go down fighting for certain.

somewhatgoated• 2 months ago

Didnt work out so well with the cypherpunk technology so there is hope

JumpCrisscross4• 2 months ago

Security will be a wedge to restrict the sophistication of open-weight and local LLMs, just as it's been used to demonize and restrict cypherpunk technologies

Unlikely in America or China. This is not a game either can singularly control, and locking down the R&D means conceding momentum to the party that doesn't. Which means use restrictions will be contained to countries satisfied with playing second fiddle.

Instead, I suspect we'll see momentum towards running software on publisher-controlled servers so the source code can be secured through obscurity. It isn't perfect. But it might be good enough to get us through this transition.

ls6123• 2 months ago

If America just banned all chinese models that would wipe out most of the open weights landscape in AI, especially anything close to the frontier. I could easily see that happening if a Mythos tier model comes out of a Chinese lab in early 2027. It doesn't meaningfully change the research competition between OAI/Anthropic/Google/SpaceX but it does pad all of their pockets by removing cheap competition and it gives the government far greater control over AI usage de facto.

ppqqrr• 2 months ago

...says yet another company hell bent on integrating it into every facet of our lives. This reads like a celebration, if you ask me.

atrocities• 2 months ago

Can we link to the actual google article, instead of these editorialized articles about the article?

https://cloud.google.com/blog/topics/threat-intelligence/ai-...

gman2093• 2 months ago

Black hat hacking seems to be a well-fit use case for these LLMs. Attackers only need to be right once, so the sometimes-wrongness of the attacks might be trivial. This probably devalues stashes of zero-day exploits for those that have been witholding them.

BLKNSLVR2• 2 months ago

I wonder if that means we're going to see an increase in the attempted 'leveraging' of hoarded zero days lest they get publicised and patched prior to being profitable.

t-writescode• 2 months ago

This stance doesn't make sense. They have the same access that the rest of the public does; and, any Red Team member is going to be doing the exact same thing.

fwbruno• 2 months ago

I do not personally hoard these exploits. My personal experience has been that responsible disclosure already has little to no economic incentive. I have gone through the pain of rigorously documenting and disclosing zero-day exploits through the official channel, and the vendor categorized it as Won't Fix, Intended Behavior. I feel that AI discovery devalues these disclosures even more because these bugs can now be discovered independently before anyone can act on them.

0xWTF• 2 months ago

Wait until the bio version of this shows up.

esseph3• 2 months ago

8 days ago:

https://www.nytimes.com/2026/04/29/us/ai-chatbots-biological...

wnc3141• 2 months ago

But in exchange we get to also waste vast energy and carbon while depleting job prospects for just about any college grad.

andrepd2• 2 months ago

It's not all bad though. We also managed to turn the Information Superhighway of the 1990s into the Slop Wasteland of the 2020s.

bouncycastle• 2 months ago

Meanwhile, I cannot ask ChatGTP how to pick my own lock. Even though this information is available in a book in the library.

dryarzeg• 2 months ago

Then go ask some ChineseGPT about this, I guess, as these models seem to be much less restricted on such topics (you could even get some explosives recipes, though not all of them are real and safe) /j

esseph3• 2 months ago

Also available to Fed Gov entities, surely.

For me, not thee

userbinator• 2 months ago

...or on YouTube.

skywhopper• 2 months ago

Drives me nuts that the NYT just uncritically cites Anthropic’s unverified claims of “thousands of zero-days” without a hint of skepticism.

xnx2• 2 months ago

Dupe: https://news.ycombinator.com/item?id=48096712

skeledrew2• 2 months ago

This is 3 hours earlier than what you're sharing.

xnx2• 2 months ago

Not sure how article merging goes, but this one shows up as 4 hours later to me.

skeledrew2• 2 months ago

Wild that they think restricting access to models will help much. Access to Chinese models will definitely not be restricted and have enough capability to find exploits as well.

QuantumNoodle• 2 months ago

Okay, when fuzzing techniques came out there was a big surge in discovered and exploited bugs. AI is more general and I expect there be a similar surge. However fuzzing is cheap but compute and techniques can be "owned." The economics of AI is unless you pay for it, it is difficult to self host (expensive hardware, open source models are catching up).

State actors + hackers will have more resources to make better offense. What worse, in my experience AI produced code is blind to overall system behavior. So I fear the exploits will be either low hanging/trivial to exploit errors or bigger system level bugs.

crazygringo3• 2 months ago

“We have high confidence that the actor likely leveraged an A.I. model to support the discovery and weaponization of this vulnerability,” the report said.

I wonder what gives them that "high confidence", as opposed to this being just a traditional zero-day?

I'm not being snarky or critical, I'm genuinely wondering what about an attack could possibly indicate it was discovered with LLM assistance?

Like, unless the attackers' computers have been seized and they've been able to recover the actual LLM transcript history? But nothing in the article indicates that the hackers have been caught, just that a patch was developed.

eatsyourtacos• 2 months ago

Maybe after they realized how they were vulnerable they asked an LLM to find the exploit through a similar means to try and replicate it. Still doesn't prove it but maybe gives them confidence this weird thing can only really be found that way etc.

nullc• 2 months ago

Presumably the attacker used Google's own LLM and they searched the history of all user chats to find the transcript.

I say this only slightly in jest, as that's about the only thing I can think of which would legitimately give them 'high confidence'.

djeastm• 2 months ago

In the article (AP one, at least) Google explicitly said it does not believe it was Gemini or Mythos.

yacthing• 2 months ago

Maybe they saw traffic that looked like AI prodding an API and quickly adapting to find the bug?

But at this point I feel like odds are everyone looking for vulnerabilities is using AI to some extent. Why wouldn't they? It'd be stranger if they didn't.

glenstein• 2 months ago

The article says it included excessive explainer text. And I'm almost positive an earlier version of the article referenced hallucinated library references though I don't see it in the present version of the article.

slater• 2 months ago

I wonder what gives them that "high confidence", as opposed to this being just a traditional zero-day?

Excessive use of em-dashes, and emoji bullet points in the readme

DrewADesign• 2 months ago

Well, it’s great marketing for LLM products at the enterprise level. Even if they weren’t sure, they have every incentive to run with it now, and the issue a “whoopsie daisy” apology later after the tech media stopped paying attention.

chromacity• 2 months ago

I wonder what gives them that "high confidence", as opposed to this being just a traditional zero-day?

Google, Cloudflare, and Microsoft are a trio of companies that get to see most of what's going on the internet. I imagine that if they see you attacking them, they can work back from that and get remarkably far, even against sophisticated actors. If it's their LLM, they presumably keep transcripts. If you searched for the affected API function via a search engine, they almost certainly know. Even if you used a competing search product, you probably went to a site that has Google Analytics. Oh, and one of these companies probably has your DNS lookups. And a good chunk of the world's email traffic. And telemetry from your workstation. And auto-uploaded crash reports... And if it's bad, they can work together behind the scenes to get to the bottom of it.

So, when their threat intel orgs say they have high confidence in something, I'd be inclined to believe it.

Hupriene• 2 months ago

None of what you've said is untrue. And if this was an internal report to an executive, I'd agree with it. But this is a public statement and I'm more inclined to believe that this is part of a coordinated run up to a move to ban the import of 'dangerous' Chinese AI models -- or something else equally self serving -- than a simple statement of truth.

I don't doubt that they found some evidence of AI use. I'm just skeptical that the amount and strength of evidence has anything to do with their making this statement.

I've been thinking about why the AI companies are making so much use of fear based marketing. And I'm wonder if it isn't just naked Machiavellianism at work.

For a long time tech companies were forced to compete for power by being the most loved (or at least not the most hated). But now they've found an avenue to cultivate fear.

_alternator_2• 2 months ago

The article strongly implies they have the (Python) source code, and that it looks LLM generated. I don't know about you, but I can usually tell LLM code from a mile away.

adrian_b2• 2 months ago

That can prove only a half of that sentence, that an AI coding assistant was used for writing the exploit (a.k.a. "weaponization").

For the other half of the sentence ("discovery"), one could claim that it is true only if the identity of the attackers were discovered and evidence about their prior activities would be gathered.

Even if it is likely that today anyone who searches for bugs would also use AI agents to accelerate that, I find unacceptable in announcements like that of Google the use of careless sentences that are obviously either false or they might be true only if Google knew something else that they do not disclose.

HlessClaudesman• 2 months ago

Humans can sometimes find a needle in a haystack, but its impossible for us to find multiple needles in multiple haystacks and chain them together into an attack. AIs can work through a complex search space much more efficiently, that's the tell.

skeptic_ai• 2 months ago

They did it before AI.

dijksterhuis• 2 months ago

sorry but that’s just wrong. it’s not impossible in the slightest. i built an attack against mozilla deepspeech in my phd from multiple needles (two of which i personally discovered).

did it take a lot of effort? sure. lots of dead ends. but that does not mean it is impossible.

close04• 2 months ago

its impossible for us to find multiple needles in multiple haystacks and chain them together

Except "we" have been successfully chaining attacks long before AI started automating it. AI doesn't make any of this possible, it just takes the drudgery out of it and lowers the cost of an attack.

bigp3t3• 2 months ago

From Google's GTIG report: https://cloud.google.com/blog/topics/threat-intelligence/ai-...

"Although we do not believe Gemini was used, based on the structure and content of these exploits, we have high confidence that the actor likely leveraged an AI model to support the discovery and weaponization of this vulnerability. For example, the script contains an abundance of educational docstrings, including a hallucinated CVSS score, and uses a structured, textbook Pythonic format highly characteristic of LLMs training data (e.g., detailed help menus and the clean _C ANSI color class) "

SkiFire13• 2 months ago

That's evidence the script was written by an AI, but not necessarily that the exploit was found by it.

blitzar• 2 months ago

The post reads like Ai wrote it - from that I can deduce that all strategy at google has been generated by Ai.

adrian_b2• 2 months ago

This only indicates that an AI coding agent was used to write an exploit.

No such circumstantial evidence can prove that an AI model has been used to find the bug.

Of course, it is quite likely that an AI model was used to speed up the search for bugs, but this can never be proven as long as you see only the code used to exploit the bug.

ndr42• 2 months ago

"Although we do not believe Gemini was used"

I don't get the "although": Are they happy that Gemini was not used in cybercrime oder are they bothered because somebody used a (probably better) alternative?

neya• 2 months ago

We are going to be seeing a lot of these moving forward. It's the easy way out. If you've worked with Google, you will know that it's an environment where accountability doesn't thrive. You will find people who know nothing about Google's product portfolio hold advisory roles around the products. They don't care, there's no one to even question them. They just know to make colourful graphs with the most useless metrics to justify they "add value" to the company. Expecting them to take accountability is like trying to mix oil and water.

nsoonhui• 2 months ago

There was a discussion a few days ago on White House considers vetting AI models prior to release (https://news.ycombinator.com/item?id=48013608).

zx8080• 2 months ago

It's the narrative "For your own security in the internet (and children's safety), show us your ID now, please".

Tired of this trend.

srcreigh• 2 months ago

Google said in research published Monday

What research? Where is it published?

nomilk• 2 months ago

@dang would be great if the hn link was the 'unlocked' version i.e. instead of

https://www.nytimes.com/2026/05/11/us/politics/google-hacker...

this instead

https://www.nytimes.com/2026/05/11/us/politics/google-hacker...

(can read the article immediately; slightly less fuss)

wasabi991011• 2 months ago

Just fyi @username does not send any notifications on hackernews, not even to the mods.

To contact the HN mods, you need to send them an email.

randyrand• 2 months ago

At least, thats what we're told ;)

justsomedev2• 2 months ago

What a surprise hackers used AI . I mean why wouldnt they? Every programmer uses it..

ChrisArchitect• 2 months ago

Source: https://cloud.google.com/blog/topics/threat-intelligence/ai-... (https://news.ycombinator.com/item?id=48096712)

Why collect all the news dupes but not the source up top OP? Because the source was already submitted?

markboo• 2 months ago

In past decades the "firewall" of software is that advanced security and coding knowledge is not very easy to access by anyone, only a few smartest people in the big name companies and top orgs. But nowadays, knowledge is accessible to everyone if you use top LLM, which swipe the difference. I would say that future public software is unsafe anymore. maybe the concept of public software (like SaaS or other) will be dead, software is only private instead of public

kuboble• 2 months ago

Given how everywhere software is now being written by the LLMs, how is that a top headline news that some (albeit malicious) software is being written with LLM?

The robbers used a CAR in the robbery.

The blackmailer used a TYPEWRITER to write blackmailing letter.

plexescor• 2 months ago

But which AI exactly, theres this new claude Mythos about wihch everone is talking, is it legit or a fluff

koiueo2• 2 months ago

Haven't read the article, but let me guess:

"That's why for your safety we need a scan of your ID and your biometrics to let you use our best models"

andai5• 2 months ago

My Android phone takes a photo of my face every time I unlock the device. I don't have access to those images, but someone already has photos of my eyeballs!

I'm not sure why or how to turn it off, does anyone know?

(Also, insert weary photo of Kaczynski here.)

jeroenhd2• 2 months ago

Go to security settings and disable face unlock. If you want to be extra safe against Google, go to the advanced security settings, find the "trust agents", and disable the ability for Google Play Services to unlock your phone. That'll also kill any other unlock mechanisms you may have forgotten about tied to Google's services.

If unlock features remain after that, it's a manufacturer feature that's been set up. In that case you'll have to look for a guide for your specific brand and model.

Your phone can't turn this on by itself, if it's doing face recognition that means you set it up at some point.

fennecfoxy2• 2 months ago

I mean it's nice that someone helped you but if you're incapable of turning such a setting off yourself, or doing some basic research to find out how to turn it off - surely you'd feel threatened by the numerous other features of the phone that you're likely unaware of?

It's like willingly walking through a minefield.

surajrmal2• 2 months ago

If you've ever actually looked into the implementation details of how face unlock works, you might feel a bit less spooked. Android and iOS go a very long way to isolate biometrics from the rest of the system. It's good to be skeptical, but it's also worthwhile to do some research.

TiredOfLife• 2 months ago

I don't have access to those images, but someone already has photos of my eyeballs!

Citation needed.

whynotmaybe2• 2 months ago

How do they handle twins?

alternatex• 2 months ago

Not sure if it's a joke, but twins don't have the same biometrics

Jean-Papoulos• 2 months ago

If this is true, I hope AI exploit-finding will force the industry to harden itself against supply-chain vulnerabilities.

lynx97• 2 months ago

I stopped reading after "Google says". They have destroyed whatever trust I might have had in them years ago.

viktorcode• 2 months ago

I expect that only to escalate with time, especially when there'll be more agent-written code deployed.

BatteryMountain• 2 months ago

To make an omelette, some eggs need to break, right? These companies released AI to the public and thought it will be all sunshine and roses.. there are legit bad actors in the world that hates society and people and they will use AI for expand on that, is that not clear? We need controls on AI similar to any other restricted materials (like nuclear stuff).

andai5• 2 months ago

Local models are getting good scary fast. Hardware is improving too. How long until I can ask a local model to help me do Nontrivial Bad Things?

I don't see how you can regulate that though. Just making it illegal to release small models? Or to use unauthorized ones? (I'm kind of not sure the kind of people who want to do bad things are going to be discouraged by such a law though.)

Spacemolte• 2 months ago

Phasing like this immediately makes me wonder what google is lobbying for..

netdevphoenix• 2 months ago

I wonder what is the goal here? If Google Search was used to find a major software flaw would this be reported in this way? Between Mythos, OpenAI's Mythos equivalent, it's not clear if there is some interest to keep the "AI is powerful" trend going or they are trying to indirectly bring attention to the technical capabilities of LLMs in cybersecurity (as a potentially untapped source of revenue).

bell-cot• 2 months ago

They're proclaiming that AI is the Latest Big Thing in the perpetual computer security arms race. So unless you want to be stuck fighting in propeller-driven planes when every real air force has jets, you better start spending big on AI. Preferably Google's AI, of course.

surajrmal2• 2 months ago

I can assure you that Google is not coordinated enough to pull off this sort of thing. Security researchers only care about security research. There might be some level of oversight on what's published, but the core security teams are not actively seeking a way to promote a particular narrative.

throwawayffffas2• 2 months ago

Next headline: Google will not be releasing their next AI model to the public but only "trusted" partners, because it's too dangerous.

rullelito• 2 months ago

"And the only prescription..'

stikit• 2 months ago

Hackers use AI to find vulnerabilities to exploit. What’s the news here?

pbrumm• 2 months ago

So google is accusing an AI company that has a customer who is paying them money to develop software that caused damages. Sounds like the AI company could be liable?

If I am paid by someone to create an exploit that caused damages wouldn't I be liable? Or could I avoid it by making my client sign a terms of service agreement to not use it that way?

Who created the model and who helped with GPU power to run the model to create the export and should they be doing more.

mikewarot• 2 months ago

This is your reminder that the security model underlying everything these days is crap. Ambient authority was fine for stand alone PCs without persistent internal storage. It's just stupid to use it in the 21st century.

rudolph9• 2 months ago

Do they have high confidence the actor used a keyboard? Used the bathroom at some point during the attack? Has a mother?

Idk, this doesn’t strike me as news. Google just missed a vulnerability.

vasco• 2 months ago

Yeah anyone doing any sort of development is using AI, including for exploits. Means nothing.

giancarlostoro• 2 months ago

This will only keep happening, I know some people are skeptical as to what level of function the AI was used, whether it was to write code, or to do the hack, it really doesn't matter, the fact that anyone can use AI to do this, hell people nuke their prod systems with AI, should have every company worth its salt investing in security audits, code scanning and anything they can to find exploits before some 14 year old somehow breaks into your system with AI and wreaks chaos over your infrastructure.

Are you one bad headline away from a major hack? Or worse, one hack away from your company going under? It's all a ticking time bomb.

Someone else on HN pointed out that distros like Debian might be too slow as people find live exploits in the kernel, it might not be worth keeping something like that, on the other hand Ubuntu supports live kernel upgrading at the enterprise level, so maybe Ubuntu Server might be Debian's indirect saving grace.

Article says that it was largely a theory until now. That's not entirely true, we know that hackers used Claude to hack the Mexican government, got the PII of every citizen basically. I would not be surprised if there's more hacks that are undetected. The hackers don't need to declare their use of AI, its irrelevant.

Google says criminal hackers used AI to find a major software flaw

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