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EUVD-2026-17023

fkie_cve-2022-31605

NVFLARE, versions prior to 2.1.2, contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.

GHSA-hrf3-622q-8366 — Unsafe yaml deserialization in NVFlare

Affected: PyPI: nvflare

### Impact NVFLARE contains a vulnerability in its utils module, where YAML files are loaded via yaml.load() instead of yaml.safe_load(). The deserialization of Untrusted Data, may allow an unprivileged network attacker to cause Remote Code Execution, Denial Of Service, and Impact to both Confidentiality and Integrity.

All versions before 2.1.2 are affected. CVSS Score = 9.8 [AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H](https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnvd.nist.gov%2Fvuln-metrics%2Fcvss%2Fv3-calculator%3Fvector%3DAV%3AN%2FAC%3AL%2FPR%3AN%2FUI%3AN%2FS%3AU%2FC%3AH%2FI%3AH%2FA%3AH&data=05%7C01%7Cchesterc%40nvidia.com%7Ce9600bde16854b0b380008da4fc544f7%7C43083d15727340c1b7db39efd9ccc17a%7C0%7C0%7C637910005925574215%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=5kBrXEmAbqp8R31JCH%2FG95MUly72UPVihnBwiRFmvBY%3D&reserved=0)

### Patches

The patch will be included in nvflare==2.1.2

### Workarounds Change yaml.load() to yaml.safe_load()

### Additional information Issue Found by: Oliver Sellwood (@Nintorac)

gsd-2022-31605

PYSEC-2022-232

Affected: PyPI: nvflare