Categories
CVE-2026-39888 critical CVSS 9.9

Vulnerability in praisonaiagents (CVE-2026-39888)

Summary

Vulnerability in praisonaiagents (CVE-2026-39888). Successful exploitation can lead to full system takeover. Exploitable via praisonaiagents.tools.python_tools. Mitigation: upgrade to 1.5.115 or later.

Original description

The description as published by the source.

Summary

execute_code() in praisonaiagents.tools.python_tools defaults to
sandbox_mode="sandbox", which runs user code in a subprocess wrapped with a
restricted __builtins__ dict and an AST-based blocklist. The AST blocklist
embedded inside the subprocess wrapper (blocked_attrs, line 143 of
python_tools.py) contains only 11 attribute names — a strict subset of the 30+
names blocked in the direct-execution path. The four attributes that form a
frame-traversal chain out of the sandbox are all absent from the subprocess list:

Attribute In subprocess blocked_attrs In direct-mode _blocked_attrs
__traceback__ NO YES
tb_frame NO YES
f_back NO YES
f_builtins NO YES

Chaining these attributes through a caught exception exposes the real Python
builtins dict of the subprocess wrapper frame, from which exec can be
retrieved and called under a non-blocked variable name — bypassing every
remaining security layer.

Tested and confirmed on praisonaiagents 1.5.113 (latest), Python 3.10.


Severity

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H — 9.9 Critical

Vector Value Rationale
AV:N Network execute_code is a designated agent tool; user/LLM-supplied code reaches it over the network in all standard deployments
AC:L Low No race conditions or special configuration required
PR:L Low Requires ability to submit code through an agent (ty…

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-2026-39888 has been found in praisonaiagents.
Attackers can target a specific entry point like praisonaiagents.tools.python_tools over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 9.9/10.
What to do: upgrade praisonaiagents to 1.5.115 or later.
If unsure, ask your IT team or search "praisonaiagents CVE-2026-39888" on the vendor's site.

CVE-2026-39888 (praisonaiagents) — CWE-657 / CVSS v3 9.9
Attack vector: remote (network-reachable) / no user interaction
Attack surface: praisonaiagents.tools.python_tools / __builtins__ / blocked_attrs / python_tools.py
Patched: 1.5.115 — 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-657) exists in praisonaiagents. Attackers reach the vulnerable code path via praisonaiagents.tools.python_tools.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonaiagents. Attack surface: praisonaiagents.tools.python_tools / __builtins__ / blocked_attrs / python_tools.py.

🔥 Severity

Severity: Critical (CVSS 9.9/10). Successful exploitation can lead to full system takeover.

🔧 How to fix

Update to 1.5.115.

🛡️ 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 1.5.115

    ステージング環境で 1.5.115 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

PyPI praisonaiagents
[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"1.5.115"}]}]

References

We use cookies for analytics and ad measurement. This setting applies to all Game co., Ltd. sites. Details