Unsafe yaml deserialization in 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
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 software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | nvflare | < 2.1.2 | 2.1.2 |
References
- https://github.com/NVIDIA/NVFlare/security/advisories/GHSA-hrf3-622q-8366
- https://nvd.nist.gov/vuln/detail/CVE-2022-31605
- https://github.com/NVIDIA/NVFlare/commit/4de9782697ecb12f39bcae83221bd8d3498959be
- https://github.com/NVIDIA/NVFlare
- https://github.com/pypa/advisory-database/tree/main/vulns/nvflare/PYSEC-2022-232.yaml
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H- Weakness (CWE)
CWE-502- Platform
- Python (PyPI)
- Package
nvflare- Disclosed
- 22.06.2022
- Updated
- 11.10.2026 13:19
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2022-232 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-hrf3-622q-8366 - CC BY 4.0
Vulnerability history: nvflare
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 5
- First → latest
- 03.2022 04.2026
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 4
- High 1
Disclosures per year
- 2022: 4
- 2023: 0
- 2024: 0
- 2025: 0
- 2026: 1
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Unsafe yaml deserialization in NVFlare this entry
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