AI and data stack advisories

Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

NvidiaGHSA-hrf3-622q-8366

Unsafe yaml deserialization

Nvidia

CVE-2022-31605 · Published Jun 21, 2022

Critical
Fix: upgrade to 2.1.2 or later
GitHub advisory

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)

Affected versions

PackageAffectedFixed in
nvflare
PyPI
< 2.1.22.1.2
Details and references

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