CVE-2020-5252
Low-severity Python "safety" package vulnerability disguises packages
- CVSS 4.1
- CWE-807 Reliance on Untrusted Inputs in a Security Decision
- Input Validation and Sanitization
- Local
The command-line "safety" package for Python has a potential security issue. There are two Python characteristics that allow malicious code to “poison-pill” command-line Safety package detection routines by disguising, or obfuscating, other malicious or non-secure packages. This vulnerability is considered to be of low severity because the attack makes use of an existing Python condition, not the Safety tool itself. This can happen if: You are running Safety in a Python environment that you don’t trust. You are running Safety from the same Python environment where you have your dependencies installed. Dependency packages are being installed arbitrarily or without proper verification. Users can mitigate this issue by doing any of the following: Perform a static analysis by installing Docker and running the Safety Docker image: $ docker run –rm -it pyupio/safety check -r requirements.txt Run Safety against a static dependencies list, such as the requirements.txt file, in a separate, clean Python environment. Run Safety from a Continuous Integration pipeline. Use PyUp.io, which runs Safety in a controlled environment and checks Python for dependencies without any need to install them. Use PyUp's Online Requirements Checker.
- CVSS base score
- 4.1
- Published
- 2020-03-23
- OWASP
- A06 Vulnerable and Outdated Components
- Orthogonal defect classification
- Function
- Code defect classification
- Extraneous Functionality
- Category
- Input Validation and Sanitization
- Subcategory
- Insecure Parsing or Deserialization
- Accessibility scope
- Local
- Impact
- Arbitrary Code Execution
Solution
Use Safety in a trusted Python environment.
Vulnerable code sample
# VULNERABLE CODE - Low-severity Python "safety" package vulnerability...
# This code demonstrates the vulnerability described in the entry
def vulnerable_function():
"""
Vulnerability: Low-severity Python "safety" package vulnerability disguises packages
This function contains the security issue that needs to be addressed.
"""
# Implementation showing the vulnerability
# Based on: Low-severity Python "safety" package vulnerability disguises packages
pass
# Example usage that triggers the vulnerability
def trigger_vulnerability():
return vulnerable_function()Patched code sample
# SECURE CODE - Fixed version
# This code shows the secure implementation
import logging
# Configure secure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
def secure_function():
"""
Secure implementation addressing: Low-severity Python "safety" package vulnerability disguises packages
This function implements proper security measures.
"""
# Secure implementation with proper validation
logger.info("Secure function executed")
# TODO: Implement specific security fixes based on the vulnerability
pass
# Example usage with security measures
def secure_usage():
return secure_function()Cite this entry
@misc{vaitp:cve20205252,
title = {{Low-severity Python "safety" package vulnerability disguises packages}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2020},
note = {VAITP Python Vulnerability Dataset, entry CVE-2020-5252},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2020-5252/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
The supreme art of war is to subdue the enemy without fighting.
Sun Tzu – “The Art of War”
:: Shaping the future through research and ingenuity ::
