On Windows, attacker-controlled content in a wheel's
.dist-info/namespace_packages.txt can cause setuptools' legacy wheel
installation path to create an __init__.py outside the requested
destination_eggdir.
The attacker can influence the destination path, but not the contents of the created file.
Tested setuptools commit:
6ead555c5fb29bc57fe6105b1bffc163f56fd558
Relevant source:
setuptools/wheel.py
SHA-256:
359b7e0d5dd8c3135653abe08a8ed5dc0352eadfd7df22cb5e2b5303b7c3cafd
The relevant call path is:
Wheel(wheel_path).install_as_egg(destination)
→ _install_as_egg
→ _convert_metadata
→ _fix_namespace_packages
A wheel can provide attacker-controlled content in:
<distribution>.dist-info/namespace_packages.txt
The namespace value is eventually used approximately as:
mod_dir = os.path.join(destination_eggdir, *mod.split('.'))
mod_init = os.path.join(mod_dir, '__init__.py')
If mod is a Windows drive-qualified absolute path containing no dots,
mod.split('.') preserves it as a single component.
On Windows, os.path.join(destination_eggdir, absolute_component) discards
the original base directory and resolves to the attacker-supplied absolute
path.
The existing wheel filename and ZIP traversal checks do not validate this
metadata value before it is subsequently interpreted as a filesystem path.
```markdown
### PoC
The reproduction was performed entirely inside a disposable temporary
directory.
Layout:
```text
sandbox/
destination/
outside/
input/
canary.txt
A synthetic wheel was created containing:
demo_pkg-1.0.dist-info/namespace_packages.txt
whose content was the absolute path of:
sandbox\outside
The real acquired setuptools implementation was then invoked:
setuptools.wheel.Wheel(synthetic_wheel).install_as_egg(
sandbox_destination
)
The operation completed without exception.
Expected metadata was created under:
sandbox\destination\EGG-INFO
but setuptools also created:
sandbox\outside\__init__.py
The file did not exist before execution.
Its contents were:
__import__('pkg_resources').declare_namespace(__name__)
The unrelated canary remained byte-identical.
The sandbox was deleted after recording the evidence.
### Impact
A crafted wheel can cause setuptools to create a fixed-content
`__init__.py` outside the intended installation directory at a
filesystem path influenced by the wheel, with the permissions of the
process performing the installation.
The demonstrated reproduction required the target parent directory to
already exist.
| Software | Affected versions |
|---|---|
setuptools
|
>= 38.2.2, < 84.1.0 |
A vulnerability database tells you what is broken. Attack surface management tells you where it is running: it discovers your internet-facing assets and flags the ones affected by issues like this one.
What is attack surface management? →A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.
Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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