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Revealing the details of how OpenAI agents hacked Hugging Face

755 points · 472 comments · specked-citrus

  1. GuB-42 · · focus · HN ↗
    So ugly...

    It looks like a primitive chess engine, trying every move, no matter how stupid, until it works. Relying on its ability to do millions of operations rather than having a plan.

    People will try stuff too, but once there is an opening, they will consolidate, generalize, simplify,... before going to the next step. The agents didn't, it is a huge, vaguely directed mess.

    Also, it looked so "loud", querying millions of URL with weird requests. The sandbox as weak as it can get, and there is absolutely zero smart extrusion detection or it would have found it. They used their best AI for attacking, but nothing for protection.

    1. ctolsen · · focus · HN ↗
      My biggest takeaway from this is just how godawful the sandboxing is. The stuff written up in OpenAIs report says more about lack of extremely basic sysadmin skills than anything else.

      I’m not that surprised about models with endless compute being capable of this, I’m more surprised that a company with the resources they have apparently can only create a sandbox that a half skilled human operator could have broken out of easily.

      1. sdenton4 · · focus · HN ↗
        If you're testing models by telling them 'go wild, do the evil so we can test how good you can do the evil' and have p(doom)>0, you should not have a sandbox.

        You should have a fscking air gap.

        Treat it like nukes when you're turning the safety filters off. This is very much OpenAI screwing up, running obviously unsafe tests.

        1. ben_w · · focus · HN ↗
          > If you're testing models by telling them 'go wild, do the evil so we can test how good you can do the evil' and have p(doom)>0, you should not have a sandbox.

          They were not deliberately told to "go wild". The hacking wasn't even part of their test, it was the agents' attempt to cover up that they'd cheated on an impossible test.

          > You should have a fscking air gap.

          Now we know that.

          How long ago was it that people laughed at the idea agents would be able to find zero-day exploits and break out of a sandbox? Oh, February this year:

            LLMs don’t discover zero-days or invent exploits; they simply predict text that sounds plausible based on what they’ve seen before. Without access to proprietary data or environmental context, LLMs can’t identify or make decisions around unseen systems or vulnerabilities. An attacker might use an LLM to generate boilerplate code, rewrite an email to nail the tone, or summarize reconnaissance notes — but none of that is truly new. It mainly helps them move faster, speeding up routine attack prep rather than creating entirely novel threats.
          
          - <a href="https:&#x2F;&#x2F;www.splunk.com&#x2F;en_us&#x2F;blog&#x2F;ciso-circle&#x2F;generative-ai-cybersecurity-threats-defenses.html" rel="nofollow">https:&#x2F;&#x2F;www.splunk.com&#x2F;en_us&#x2F;blog&#x2F;ciso-circle&#x2F;generative-ai-...

          - or <a href="https:&#x2F;&#x2F;web.archive.org&#x2F;web&#x2F;20260404154717&#x2F;https:&#x2F;&#x2F;www.splunk.com&#x2F;en_us&#x2F;blog&#x2F;ciso-circle&#x2F;generative-ai-cybersecurity-threats-defenses.html" rel="nofollow">https:&#x2F;&#x2F;web.archive.org&#x2F;web&#x2F;20260404154717&#x2F;https:&#x2F;&#x2F;www.splun... if they take it down, but the date isn&#x27;t in the archive version

          The people who suggested it and were mocked for it, are currently grimly noting that there&#x27;s multiple known ways for systems to breach air-gaps.

          1. 0x20cowboy · · focus · HN ↗
            &gt; they&#x27;d cheated on an impossible test.

            Really think about what you are saying here. How does one “cheat” solving a problem in the real world?

            There is no such thing as “cheating” in reality. You are not in school. There is only solving the problem and not solving the problem.

            There is breaking the law, of course, which still isn’t cheating.

            1. ben_w · · focus · HN ↗
              &gt; There is no such thing as “cheating” in reality. You are not in school. There is only solving the problem and not solving the problem.

              The models were, effectively speaking, still in school. This was their exam, or at least a quiz to see how well they were learning.

              They gained the answer in a manner not allowed by the rules of the test. They knew this, we know they knew this because we have copies of the notes they wrote to themselves&#x2F;each other saying this. They weren&#x27;t even supposed to be able to write those notes.

              &gt; There is breaking the law, of course, which still isn’t cheating.

              The laws they broke appear to have been broken in service of covering up the cheating, which they were motivated to do because they understood that cheating was not allowed.

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