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PYSEC-2026-584
Vulnerability in rlask (PYSEC-2026-584)
Summary
vulnerability in rlask (PYSEC-2026-584). Risk of unauthorized operations or information disclosure.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **PYSEC-2026-584** has been found in rlask.
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 "rlask PYSEC-2026-584" on the vendor's site.
PYSEC-2026-584 (rlask) —
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 rlask.
📍 Affected scope
rlask — .
🔥 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 'rlask' .` 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 'rlask' . | 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 `rlask` を grep し、稼働しているサービス・バージョンを把握する。
-
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
rlask
References
- report https://inspector.pypi.io/project/rlask/3.1.7/packages/0e/bd/825d4780b45c1a963f4c8b8687d8ca0abf699d25beac93ca4b86403fbbcf/rlask-3.1.7-py3-none-any.whl//rlask-setup.pth
- 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