NvflareApplication · Nvidia

CVE-2022-31605

CRITICAL · 9.8 CVSS v3.1 Published 2022-07-01
Fix available
A fix is available. Upgrade to 2.1.2 or later.
See remediation →
100/100
Remediation priority · Urgent
Remotely reachable No privileges Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
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.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

The vulnerability exists in NVFLARE's utils module where YAML files are loaded using yaml.load() instead of yaml.safe_load(). The unsafe yaml.load() function allows deserialization of arbitrary Python objects, enabling attackers to craft malicious YAML payloads that can execute arbitrary code on the target system.

MitigationReplace all instances of yaml.load() with yaml.safe_load() in the utils module and upgrade to NVFLARE version 2.1.2 or later to remediate this vulnerability.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
NvflareApplication
Affected:< 2.1.2

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check if NVFLARE is installed
    Run 'pip show nvflare' or 'pip list | grep -i nvflare' to find installed packages
    Affected if NVFLARE is installed and version is below 2.1.2
  2. Find the utils module location
    Run 'python -c "import nvflare.utils; print(nvflare.utils.__file__)"' to locate the utils module file path
    Affected if The utils module file path is found in an NVFLARE installation below version 2.1.2
  3. Search for unsafe yaml.load() calls
    Search the utils module directory for 'yaml.load(' using grep: 'grep -r "yaml.load" <path_to_utils>' or 'grep -rn "yaml.load" .' within the utils directory
    Affected if Code contains yaml.load() instead of yaml.safe_load()
  4. Identify YAML processing entry points
    Review the utils module for functions that accept and process YAML configuration files or user-supplied YAML data
    Affected if The utils module processes YAML files and contains the unsafe yaml.load() call

You are affected if NVFLARE version is below 2.1.1 and the codebase contains yaml.load() calls in the utils module that process external YAML files.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Upgrade available Upgrade to 2.1.2 or later
Fixed in 2.1.2
Interim mitigation

Replace all instances of yaml.load() with yaml.safe_load() in the utils module and upgrade to NVFLARE version 2.1.2 or later to remediate this vulnerability.

Recommended fix High confidence

NVFLARE 2.1.2 or later

  1. Check the current installed version of NVFLARE (e.g., running 'pip show nvflare' or checking the package version in your environment)
  2. Upgrade NVFLARE to version 2.1.2 or later using the appropriate package manager (e.g., 'pip install --upgrade nvflare' or 'pip install nvflare>=2.1.2')
  3. Verify the upgrade was successful by checking the installed version matches or exceeds 2.1.2
  4. Test that your NVFLARE deployment functions normally after the upgrade

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Nvflare Scoped from the published advisory
  • Consultation2.0 h
  • Implementation4.0 h
  • Testing3.0 h
  • Review / QA2.0 h
11.0 hours of engineering $1,930
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $3,088.

Scan for this in your stack

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dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2022-31605 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
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  • No spam, self-promotion, credentials, or personal data