Categories
CVE-2026-44339 high CVSS 8.6

Vulnerability in praisonaiagents (CVE-2026-44339)

Summary

Vulnerability in praisonaiagents (CVE-2026-44339). Data can be tampered with by attackers. Exploitable via praisonaiagents. Mitigation: upgrade to 1.6.37 or later.

Original description

The description as published by the source.

Summary

praisonaiagents resolves unresolved tool names against module globals and __main__ after it fails to match the declared tool list and the registry. With the default agent configuration, _perm_allow is None, so undeclared non-dangerous tool names are not rejected by the permission gate. An attacker who can influence tool-call names can therefore invoke unintended application callables that were never declared as tools.

Details

The vulnerable resolution path is in [tool_execution.py](https://github.com/Users/shmulc/Documents/Codex/2026-05-03/please-go-over-tmp-tp-advisories/repos/PraisonAI/src/praisonai-agents/praisonaiagents/agent/tool_execution.py:734). After searching declared tools and the registry, execution falls back to globals() and then __main__:

func = None
for tool in self.tools if isinstance(self.tools, (list, tuple)) else []:
    ...

if func is None:
    try:
        from ..tools.registry import get_registry
        registry = get_registry()
        func = registry.get(function_name)
    except ImportError:
        pass

if func is None:
    func = globals().get(function_name)
    if not func:
        import __main__
        func = getattr(__main__, function_name, None)

If a callable is found, it is executed directly:

elif callable(func):
    casted_ar…

Source: NIST National Vulnerability Database 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-2026-44339 has been found in praisonaiagents.
Attackers can target a specific entry point like praisonaiagents over the network to misuse the product.
Data can be tampered with by attackers. CVSS score: 8.6/10.
What to do: upgrade praisonaiagents to 1.6.37 or later.
If unsure, ask your IT team or search "praisonaiagents CVE-2026-44339" on the vendor's site.

CVE-2026-44339 (praisonaiagents) — CWE-470 / CVSS v3 8.6
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: praisonaiagents / __main__ / _perm_allow / None
Patched: 1.6.37 — 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-470) exists in praisonaiagents. Attackers reach the vulnerable code path via praisonaiagents without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonaiagents. Attack surface: praisonaiagents / __main__ / _perm_allow / None.

🔥 Severity

Severity: High (CVSS 8.6/10). Data can be tampered with by attackers.

🔧 How to fix

Update to 1.6.37.

🛡️ 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

Concrete steps and command examples for SOC/SRE teams to execute in order

  1. 1
    Identify 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。

  2. 2
    Apply patch patch
    Upgrade praisonaiagents to 1.6.37

    ステージング環境で 1.6.37 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 praisonaiagents
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.37"}]}]
pip PraisonAI
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.37"}]}]
PyPI praisonaiagents
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.6.37"}]}]
PyPI praisonai
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"4.6.37"}]}]

References

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