Categories
CVE-2026-47393 critical CVSS 9.8

Vulnerability in PraisonAI (CVE-2026-47393)

Summary

Vulnerability in PraisonAI (CVE-2026-47393). Successful exploitation can lead to full system takeover. Exploitable via auth_enabled. Mitigation: upgrade to 4.6.40 or later.

Original description

The description as published by the source.

Summary

CVE-2026-44338 (GHSA-6rmh-7xcm-cpxj) documents that PraisonAI ships a code-generator (praisonai.deploy.api.generate_api_server_code) that emits a Flask API server with authentication disabled by default. Users who follow the documented quickstart (praisonai deploy --type api) get a server that:

  • binds to 0.0.0.0 per the recommended sample YAML
  • exposes /chat and /agents endpoints
  • runs praisonai.run() on user-supplied JSON input — LLM orchestration with the API key materials present in the process environment
  • does not require any authentication

The PyPI wheel praisonai==4.6.33 (current @latest) still ships the generator with auth_enabled defaulting to False. The fix shape is opt-in via APIConfig(auth_enabled=True, auth_token=...).

Details

Anchor (file:line:symbol)

  • Vulnerable artifact: praisonai==4.6.33 on PyPI.
  • Defaults: praisonai/deploy/models.py:29 — auth_enabled: bool = Field(default=False, ...); praisonai/deploy/models.py:30 — auth_token: Optional[str] = Field(default=None, ...).
  • Generator: praisonai/deploy/api.py:40 — AUTH_ENABLED = {config.auth_enabled}; api.py:41 — AUTH_TOKEN = {repr(config.auth_token)}; api.py:43-49 — def check_auth(): if not AUTH_ENABLED: return True.
  • CLI entry: documented as praisonai deploy --type api (vendor README); produces the generator output above with no flag required to suppress the warning, because no warning is emitted.

**Vulnerable code (verbatim from i…

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-2026-47393 has been found in PraisonAI.
Attackers can target a specific entry point like auth_enabled 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-2026-47393" on the vendor's site.

CVE-2026-47393 (PraisonAI) — CWE-306 / CVSS v3 9.8
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: auth_enabled / False / True / python_repl
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.

❓ What is the problem

A vulnerability (CWE-306) exists in PraisonAI. Attackers reach the vulnerable code path via auth_enabled without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of PraisonAI. Attack surface: auth_enabled / False / True / python_repl.

🔥 Severity

Severity: Critical (CVSS 9.8/10). Successful exploitation can lead to full system takeover.

🔧 How to fix

Update to 4.6.40.

🛡️ 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 '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

  1. 1
    Identify 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。

  2. 2
    Apply 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を含めること。

  3. 3
    Post-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。本番ではアクセスログ・WAF でアラート再発が無いか継続監視。

Affected packages

pip PraisonAI
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.40"}]}]
PyPI praisonai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.40"}]}]

References

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