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CVE-2026-54499: Stanza: Remote Code Execution via Unsafe Pickle Deserialization in Model Loaders

June 19, 2026

Stanza 1.12.0 attempts to safely load PyTorch checkpoint files using torch.load(..., weights_only=True), but automatically falls back to the fully unsafe torch.load(..., weights_only=False) when the safe load raises pickle.UnpicklingError. Because the UnpicklingError condition is fully attacker-controllable, any .pt file that contains a single unsupported pickle global will trigger it.

An attacker who can place a malicious pretrain or model file on disk (via supply-chain compromise, a poisoned model repository, or a shared model cache) can achieve arbitrary code execution on any machine that loads a Stanza NLP pipeline.

Code execution occurs inside the Stanza pretrain-loading API, not merely by calling torch.load directly.

References

  • github.com/advisories/GHSA-v5jw-96jm-7h2c
  • github.com/stanfordnlp/stanza/security/advisories/GHSA-v5jw-96jm-7h2c
  • nvd.nist.gov/vuln/detail/CVE-2026-54499

Code Behaviors & Features

Detect and mitigate CVE-2026-54499 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →

Affected versions

All versions before 1.12.2

Fixed versions

  • 1.12.2

Solution

Upgrade to version 1.12.2 or above.

Impact 7.5 HIGH

CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

Learn more about CVSS

Weakness

  • CWE-502: Deserialization of Untrusted Data
  • CWE-676: Use of Potentially Dangerous Function

Source file

pypi/stanza/CVE-2026-54499.yml

Spotted a mistake? Edit the file on GitLab.

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