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CVE-2025-10951
Path Traversal in ml-logger (CVE-2025-10951)
Summary
path traversal in ml-logger (CVE-2025-10951). Risk of unauthorized operations or information disclosure.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **CVE-2025-10951** has been found in ml-logger.
Risk of unauthorized operations or information disclosure. CVSS score: ?/10.
What to do: apply the vendor's official patched release.
If unsure, ask your IT team or search "ml-logger CVE-2025-10951" on the vendor's site.
CVE-2025-10951 (ml-logger) — CWE-22 /
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Plan: 1) Audit SBOM/dependencies, 2) Stage→prod upgrade, 3) Add WAF/proxy monitoring on affected endpoints, 4) Hunt IOCs in logs.
Refs: see the GHSA / vendor advisory / patched release linked on this page.
❓ What is the problem
**Path traversal** (CWE-22) exists in ml-logger.
📍 Affected scope
ml-logger — .
🔥 Severity
Severity: ?. Risk of unauthorized operations or information disclosure
🔧 How to fix
Update to the patched release per vendor advisory.
🛡️ Workaround
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
🔍 Detection
Search webserver/proxy logs for unusual request patterns matching this CVE's known IOCs. Run `grep -r 'ml-logger' .` against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response Actions (7 steps)
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'ml-logger' . | grep -v node_modulesリポジトリと本番環境の依存ファイル (package-lock.json / requirements.txt / go.sum / Gemfile.lock 等) で `ml-logger` を grep し、稼働しているサービス・バージョンを把握する。
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7Post-deployment verification verify
Confirm patched version is live in productionパッチ適用後、ステージングで PoC または同等の悪用パターンを再現して脆弱性が閉じたことを確認。本番では Step 3 と同じログクエリでアラート再発が無いか継続監視。
Affected packages
PyPI
ml-logger
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"last_affected":"0.10.36"}]}]
References
- advisory https://nvd.nist.gov/vuln/detail/CVE-2025-10951
- advisory https://github.com/advisories/GHSA-8x9j-2p8r-7xc6
- package https://github.com/geyang/ml-logger
- package https://pypi.org/project/ml-logger
- web https://github.com/geyang/ml-logger/issues/73
- web https://vuldb.com/?ctiid.325821
- web https://vuldb.com/?id.325821
- web https://vuldb.com/?submit.652462