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PYSEC-2026-233
Vulnerability in gpsea (PYSEC-2026-233)
Summary
vulnerability in gpsea (PYSEC-2026-233). Risk of unauthorized operations or information disclosure.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **PYSEC-2026-233** has been found in gpsea.
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 "gpsea PYSEC-2026-233" on the vendor's site.
PYSEC-2026-233 (gpsea) —
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
**A vulnerability** (unclassified) exists in gpsea.
📍 Affected scope
gpsea — .
🔥 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 'gpsea' .` 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 'gpsea' . | 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 `gpsea` 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
gpsea
References
- report https://inspector.pypi.io/project/gpsea/0.9.14/packages/82/12/c1d31012b9e97334d5159ccfbef14ffe95d9970add20ba9293bffca182b6/gpsea-0.9.14-py3-none-any.whl/gpsea/_index.js
- web https://www.endorlabs.com/learn/shai-hulud-hades-wave-hits-six-pypi-bioinformatics-packages
- web https://www.stepsecurity.io/blog/the-hades-campaign-pypi-packages