EUVD-2026-69144
GHSA-x9r9-c232-4q39
Severity by source
AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attacker is remote (controls model repo, UI:R for victim action); confirmed impact is unauthorized file write (I:H); code execution is conditional on cache collision (C:L, A:N).
Primary rating from Vendor (certcc).
CVSS VectorVendor: certcc
Lifecycle Timeline
4DescriptionCVE.org
A vulnerability in Hugging Face Transformers (versions 4.49.0, <= 5.8.1) 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. The issue stems from an unconditional file write in dynamic_module_utils.py prior to any trust verification.
AnalysisAI
Write-before-consent in Hugging Face Transformers' GenerativePreTrainedModel.load_custom_generate() allows attacker-controlled Python files to be silently written to ~/.cache/huggingface/modules/ even when the user declines the trust prompt. Affected versions span 4.49.0 through 5.8.1. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | The user must explicitly call GenerativePreTrainedModel.load_custom_generate() on a model repository controlled by the attacker - this function is not invoked automatically by standard model loading via AutoModel or AutoTokenizer, so users of standard loading paths are unaffected. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The provided CVSS 7.8 with AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H overstates the impact in several dimensions. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | Full exploit scenario with step-by-step reproduction available after sign-in. |
| Remediation | Upgrade Hugging Face Transformers to a version beyond 5.8.1 when a patched release is published; monitor https://github.com/huggingface/transformers for a fix targeting dynamic_module_utils.py. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours: Inventory all deployments of Hugging Face Transformers versions 4.49.0-5.8.1 and disable untrusted model loading in high-risk environments. …
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Same weakness CWE-273 – Improper Check for Dropped Privileges
View allSame technique Authentication Bypass
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External POC / Exploit Code
Leaving vuln.today