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NvidiaGHSA-hrf3-622q-8366

Unsafe yaml deserialization

CriticalCVE-2022-31605 · Published Jun 21, 2022

### 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)

GitHub advisory

Affected versions

PackageAffectedFixed in
nvflare
PyPI
< 2.1.22.1.2
Details and references

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