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CVE-2026-80047

Hugging Face Transformers

A vulnerability in Hugging Face Transformers (versions 4.57.0 to 5.16.1) allows remote Python files to be written to local disk without user consent when using GenerativePreTrainedModel.load_custom_generate(). The function fetches and caches a remote module file before performing the required trust_remote_code consent check, inverting the security model enforced by other code-loading paths (such as AutoConfig, AutoModel, and AutoTokenizer). As a result, attacker‑controlled Python code from custom_generate/generate.py is copied into the user’s ~/.cache/huggingface/modules directory even if the user declines the trust prompt. Although execution is correctly gated, the file write is not reversible and can persist across sessions. This can lead to persistent, unauthorized files on disk and stale cache collisions where cached attacker code may later be executed during trusted model loads.

CVSS Score
7.8
High
EPSS — Exploit Probability
0.1%
Riskier than 1% of all CVEs · checked 2026-10-17
Exploitation
Not in CISA KEV
KEV does not include every exploited vulnerability
Remediation
unknown
Check vendor advisories
NVD entry PoC / advisory

1 article across 1 outlet · first covered Sep 2, 2026 · latest Sep 2, 2026

Coverage timeline

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