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GHSA-6h9p-93hq-q7h6
SSRF (Server-Side Request Forgery) in praisonaiagents (GHSA-6h9p-93hq-q7h6)
Summary
SSRF in praisonaiagents (GHSA-6h9p-93hq-q7h6). Risk of unauthorized operations or information disclosure. Exploitable via ``Location``. Mitigation: upgrade to `1.6.59` or later.
AI summary snake-internal / snake-material-v2
A vulnerability tracked as **GHSA-6h9p-93hq-q7h6** has been found in praisonaiagents.
Attackers can target a specific entry point like ``Location`` over the network to misuse the product.
Risk of unauthorized operations or information disclosure. CVSS score: ?/10.
What to do: upgrade praisonaiagents to **1.6.59** or later.
If unsure, ask your IT team or search "praisonaiagents GHSA-6h9p-93hq-q7h6" on the vendor's site.
GHSA-6h9p-93hq-q7h6 (praisonaiagents) — CWE-918 /
Attack surface: `Location` / `d08d98ca` / `d3c4a2af` / `e90d92231853161ad931f3498da57651a9f8b528`
Patched: `1.6.59` — apply immediately
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
**SSRF** (CWE-918) exists in praisonaiagents. Attackers reach the vulnerable code path via ``Location`` without authentication.
📍 Affected scope
praisonaiagents — . Attack surface: `Location` / `d08d98ca` / `d3c4a2af` / `e90d92231853161ad931f3498da57651a9f8b528`.
🔥 Severity
Severity: ?. Risk of unauthorized operations or information disclosure
🔧 How to fix
Update to **1.6.59**.
🛡️ 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 'praisonaiagents' .` 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
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1Identify exposure identify
grep -r 'praisonaiagents' . | 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 `praisonaiagents` 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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6Apply patch patch
Upgrade praisonaiagents to 1.6.59ステージング環境で 1.6.59 に上げて回帰テスト → 本番反映。回帰テストはアプリの主要ハッピーパスと、Step 3 で見つけた異常検知の続報チェックを含めること。
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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
pip
praisonaiagents
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.59"}]}]