CVE-2026-47117: OpenMed vulnerable to remote code injection through privacy-filter model loading path
OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied modelname parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path that loads Hugging Face models with trustremotecode=True.
Published Jun 2, 2026 · Updated Jun 30, 2026
Affected packages
openmed
- Ecosystem
- PyPI
- Affected
- < 1.5.2
- Fixed in
- 1.5.2
- Check
pip show openmed
Advisory details
From the GitHub Advisory Database (CC BY 4.0).
OpenMed before 1.5.2 contains a remote code execution vulnerability in the PII privacy-filter model loading path. The privacy-filter dispatcher used broad substring matching on the user-supplied model_name parameter, allowing a value such as attacker/foo-privacy-filter-bar to route through a path that loads Hugging Face models with trust_remote_code=True. An unauthenticated attacker can supply a malicious model repository containing custom Transformers code via auto_map in config.json or tokenizer_config.json, which is imported and executed with the privileges of the OpenMed service process.
Credited to faketut.
References
- https://nvd.nist.gov/vuln/detail/CVE-2026-47117
- https://github.com/maziyarpanahi/openmed/pull/59
- https://github.com/maziyarpanahi/openmed/commit/98724f65df98d7518b9006e6356740aa36c2f224
- https://github.com/maziyarpanahi/openmed/releases/tag/v1.5.2
- https://www.vulncheck.com/advisories/openmed-remote-code-execution-via-pii-model-loading
- https://github.com/advisories/GHSA-m3v4-v5gx-7wf5
How this page is made: the data panel comes from the GitHub Advisory Database, CISA’s KEV catalog, the NVD and FIRST EPSS, and updates twice a day. No analysis has been written for this entry yet. Methodology
