GitHub Advisoryadvisory · PyPI
GHSA-hrf3-622q-8366 Unsafe yaml deserialization in NVFlare
CRITICAL
Official page ↗
- Aliases
- CVE-2022-31605
- Ecosystem
- PyPI
- Packages
- nvflare
- Severity
- Critical
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
- Weaknesses
- CWE-502
- Reviewed
- 2022-06-22
Affected packages
• PyPI nvflare: < 2.1.2 → fixed in 2.1.2
Description
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
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)
Related
Alias · CVE (1)
- 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… vulnerability
Weakness · CWE (1)
- CWE-502 Deserialization of Untrusted Data weakness
References
- https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366 web
- https://nvd.nist.gov/vuln/detail/CVE-2022-31605 advisory
- https://github.com/NVIDIA/NVFlare/commit/4de9782697ecb12f39bcae83221bd8d3498959be web
- https://github.com/NVIDIA/NVFlare package
- https://github.com/pypa/advisory-database/tree/main/vulns/nvflare/PYSEC-2022-232.yaml web