Vulnerability in PraisonAI (CVE-2026-47396)
Summary
Vulnerability in PraisonAI (CVE-2026-47396). Successful exploitation can lead to full system takeover. Exploitable via GET /api/v1/agents. Mitigation: upgrade to 4.6.40 or later.
Original description
The description as published by the source.
PraisonAI is a multi-agent teams system. Prior to version 4.6.40, PraisonAI's call server exposes a network-facing agent control API without authentication when CALL_SERVER_TOKEN is not configured. The affected component is the praisonai.api.agent_invoke router as mounted by praisonai.api.call. The authentication helper verify_token() fails open when CALL_SERVER_TOKEN is unset. Since every sensitive agent-control endpoint depends on this helper, starting the call server without a token allows any reachable client to list agents, inspect agent metadata and instructions, invoke agents, and unregister agents. This is security-relevant because the bundled call server includes the vulnerable router and binds to 0.0.0.0. As a result, operators who launch the call server without explicitly setting CALL_SERVER_TOKEN may unintentionally expose an unauthenticated remote agent control plane. Version 4.6.40 fixes the issue.
Source: GitHub Security Advisories (Global) NVD GitHub Advisory
Auto-generated summary
Assembled by SecPulse from the source data (CVSS, CWE, affected versions) using templates — no AI involved. Check the original description and references below for exact details.
A vulnerability tracked as CVE-2026-47396 has been found in PraisonAI.
Attackers can target a specific entry point like GET /api/v1/agents over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 9.8/10.
What to do: upgrade PraisonAI to 4.6.40 or later.
If unsure, ask your IT team or search "PraisonAI CVE-2026-47396" on the vendor's site.
CVE-2026-47396 (PraisonAI) — CWE-284 / CVSS v3 9.8
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: GET /api/v1/agents / GET /api/v1/agents/{agent_id} / POST /api/v1/agents/{agent_id}/invoke / DELETE /api/v1/agents/{agent_id}
Patched: 4.6.40 — 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.
A vulnerability (CWE-284) exists in PraisonAI. Attackers reach the vulnerable code path via GET /api/v1/agents without authentication.
Check the vendor advisory for the affected versions of PraisonAI. Attack surface: GET /api/v1/agents / GET /api/v1/agents/{agent_id} / POST /api/v1/agents/{agent_id}/invoke / DELETE /api/v1/agents/{agent_id}.
Severity: Critical (CVSS 9.8/10). Successful exploitation can lead to full system takeover.
Update to 4.6.40.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
Search webserver/proxy logs for unusual GET /api/v1/agents requests with malformed payloads or SQL meta-characters. Run grep -r 'PraisonAI' . against your dependency files (package-lock.json, requirements.txt, go.sum) to find affected services.
Response actions
Concrete steps and command examples for SOC/SRE teams to execute in order
-
1Identify exposure identify
grep -r 'PraisonAI' . | 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
PraisonAIを grep し、稼働しているサービス・バージョンを把握する。 -
2Hunt for indicators of compromise detect
grep 'GET /api/v1/agents' /var/log/nginx/access.log | grep -E '(unusual_payload|sqli_pattern)'アクセスログで
GET /api/v1/agentsへの異常なリクエスト (不正な認証ヘッダ・SQLメタ文字)を過去 30〜90日分捜索。WAF/SIEM があれば該当パスのアラート発火履歴を確認。 -
3Apply patch patch
Upgrade PraisonAI to 4.6.40ステージング環境で 4.6.40 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 2 で見つけた異常検知の続報チェックを含めること。
-
4Post-deployment verification verify
Replay attack against GET /api/v1/agents on staging to confirm patch closes the vector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 2 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
References
- advisory github.com
- advisory github.com
- advisory nvd.nist.gov
- package github.com
- patch github.com
- web github.com