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Sprint projectSep 13, 2026Bengaluru

Gaps in the Hugging Face Intrusion & a Verifiable Egress Check

Anirudh Venu · Team PhaseOne[Medium]

Submitted to AI Incident Response Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: Gaps in the Hugging Face Intrusion & a Verifiable Egress Check

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- Built a matrix of the Hugging Face intrusion: each gap, the control that closes it, whether it existed, was enabled, and could be verified from outside - Built a v1 egress attestation so a third party can check what an eval sandbox reached

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How much would this matter for AI safety if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical AI safety problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

  1. The verifiability question is the sharpest framing in this batch. Counting that 18 of 22 controls already existed, none were fully enabled, and only one could be checked from outside turns a known incident into a specific policy claim. The best moment is the "what did not work" section: logging only the sandbox edge passes this incident, because the escape went through a permitted door, so the proxy edge had to be added. That is a real finding from a negative result.

  2. The existing/enabled/verifiable triple is a useful tool and provides a statement that a regulator can repeat: eighteen out of twenty-two of the controls were already in place, none of them was fully enabled, and one could be checked from outside. The most convincing result arose from a failure and therefore deserves to take precedence: logging only the sandbox boundary meets the requirements of this incident since the escape took place through a permitted door, meaning that the proxy's own exit is the one that is recorded. It was the correct decision to drop the proxy patch level for the same reason, and using a flow-log format that the labs have already used helps to keep adoption seem plausible. The repository is in fact better than the report suggests, and several of its contents should be included in the paper. The order of the checks is important and you give a reason for it: if a signature fails, the process exits right away and bypasses the boundary checks, since reporting on the contents of an unauthenticated manifest would give those contents a credibility they have not earned. The name of the scenario does not appear in any of the artifacts, so the conclusion is based on evidence and not on a label. The verifier never looks at the raw logs, only at what has been signed. The two tamper tests fail in two separate instances, one due to a hash mismatch and the other due to an invalid signature. In the sandbox_leak case your most powerful point is made in a single line three SSH connections rounding to 0.0 MB are detected because the rule is based on whether it is declared or not declared rather than on whether it is large or small, a criterion that a volume threshold would have overlooked. The limits remain the same: self-signing of the logs, which are controlled by the lab between capture and hashing, means that this is a format rather than 3P verifiability, and the transparency-log step in your future work is what changes that. Synthetic traffic with illustrative thresholds cannot support claims about abuse that remains below those thresholds. And each row in the matrix is a single retrospective judgment with one control per gap, so a second reviewer or a stated rule for 'Partly' would make the counts more defensible.

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Cite this project

@misc{venu2026gaps,
  title = {{Gaps in the Hugging Face Intrusion \& a Verifiable Egress Check}},
  author = {Anirudh Venu},
  year = {2026},
  month = sep,
  note = {Submitted to AI Incident Response Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/gaps-in-the-hugging-face-intrusion-a-verifiable-egress-check-45gz}},
  url = {https://apartresearch.com/sprints/projects/gaps-in-the-hugging-face-intrusion-a-verifiable-egress-check-45gz}
}

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