Remote code execution vulnerability in MEGABOT's `/math` command.
MEGABOT is a fully customized Discord bot for learning and fun. The `/math` command and functionality of MEGABOT versions < 1.5.0 contains a remote code execution vulnerability due to a Python `eval()`. The vulnerability allows an attacker to inject Python code into the `expression` parameter when using `/math` in any Discord channel. This vulnerability impacts any discord guild utilizing MEGABOT. This vulnerability was fixed in release version 1.5.0.
YAML library vulnerability in NASA AIT-Core v2.5.2 allows command execution.
An issue in the YAML Python library of NASA AIT-Core v2.5.2 allows attackers to execute arbitrary commands via supplying a crafted YAML file.
ReDoS vulnerability in Black prior to 24.3.0 via leading tabs in input.
Versions of the package black before 24.3.0 are vulnerable to Regular Expression Denial of Service (ReDoS) via the lines_with_leading_tabs_expanded function in the strings.py file. An attacker could exploit this vulnerability by crafting a malicious input that causes a denial of service. Exploiting this vulnerability is possible when running Black on untrusted input, or if you habitually put thousands of leading tab characters in your docstrings.
Werkzeug unsafe path handling on Windows with Python < 3.11 allows data access.
Werkzeug is a Web Server Gateway Interface web application library. On Python < 3.11 on Windows, os.path.isabs() does not catch UNC paths like //server/share. Werkzeug's safe_join() relies on this check, and so can produce a path that is not safe, potentially allowing unintended access to data. Applications using Python >= 3.11, or not using Windows, are not vulnerable. Werkzeug version 3.0.6 contains a patch.
Python code injection vulnerability during login with valid credentials.
Attackers with a valid username and password can exploit a python code injection vulnerability during the natural login flow.
Critical vulnerability in Pymatgen allows arbitrary code execution via eval().
Pymatgen (Python Materials Genomics) is an open-source Python library for materials analysis. A critical security vulnerability exists in the `JonesFaithfulTransformation.from_transformation_str()` method within the `pymatgen` library prior to version 2024.2.20. This method insecurely utilizes `eval()` for processing input, enabling execution of arbitrary code when parsing untrusted input. Version 2024.2.20 fixes this issue.
Arbitrary command execution vulnerability in NASA AIT-Core's Pickle library.
An issue in the Pickle Python library of NASA AIT-Core v2.5.2 allows attackers to execute arbitrary commands.
Elevation of privilege vulnerability in Azure Identity and MS Authentication libraries.
Azure Identity Libraries and Microsoft Authentication Library Elevation of Privilege Vulnerability
PyMOL 2.5.0 allows RCE via unvalidated Python code in .PYM files.
PyMOL 2.5.0 contains a vulnerability in its "Run Script" function, which allows the execution of arbitrary Python code embedded within .PYM files. Attackers can craft a malicious .PYM file containing a Python reverse shell payload and exploit the function to achieve Remote Command Execution (RCE). This vulnerability arises because PyMOL treats .PYM files as Python scripts without properly validating or restricting the commands within the script, enabling attackers to run unauthorized commands in the context of the user running the application.
NVIDIA CV-CUDA vulnerability allows uncontrolled resource consumption.
NVIDIA CV-CUDA for Ubuntu 20.04, Ubuntu 22.04, and Jetpack contains a vulnerability in Python APIs where a user may cause an uncontrolled resource consumption issue by a long running CV-CUDA Python process. A successful exploit of this vulnerability may lead to denial of service and data loss.
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”
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