Remote code execution via unsafe pickle.load in Rope library (Python)
base/oi/doa.py in the Rope library in CPython (aka Python) allows remote attackers to execute arbitrary code by leveraging an unsafe call to pickle.load.
Autobahn Python < 20.12.3: Redirect header injection vulnerability
Autobahn|Python before 20.12.3 allows redirect header injection.
Beaker library Python <=1.11.0 deserialization vulnerability
The Beaker library through 1.11.0 for Python is affected by deserialization of untrusted data, which could lead to arbitrary code execution.
AWS IoT Device SDK v2 (Java, Python, C++, Node.js) TLS hostname verification issue on Windows
Connections initialized by the AWS IoT Device SDK v2 for Java (versions prior to 1.3.3), Python (versions prior to 1.5.18), C++ (versions prior to 1.12.7) and Node.js (versions prior to 1.5.1) did not verify server certificate hostname during TLS handshake when overriding Certificate Authorities (CA) in their trust stores on Windows. This issue has been addressed in aws-c-io submodule versions 0.9.13 onward. This issue affects: Amazon Web Services AWS IoT Device SDK v2 for Java versions prior to 1.3.3 on Microsoft Windows. Amazon Web Services AWS IoT Device SDK v2 for Python versions prior to 1.5.18 on Microsoft Windows. Amazon Web Services AWS IoT Device SDK v2 for C++ versions prior to 1.12.7 on Microsoft Windows. Amazon Web Services AWS IoT Device SDK v2 for Node.js versions prior to 1.5.3 on Microsoft Windows.
MySQL Connector 2.1.3 and earlier, 2.0.4 and earlier: Remote attack impacts confidentiality, integrity, availability via Connector/Python
Unspecified vulnerability in the MySQL Connector component 2.1.3 and earlier and 2.0.4 and earlier in Oracle MySQL allows remote attackers to affect confidentiality, integrity, and availability via vectors related to Connector/Python.
Visual Studio Code Python extension had a remote code execution vulnerability when loading workspace settings from a notebook file
A remote code execution vulnerability exists in Visual Studio Code when the Python extension loads workspace settings from a notebook file, aka 'Visual Studio Code Python Extension Remote Code Execution Vulnerability'. This CVE ID is unique from CVE-2020-1171.
Visual Studio Code Python extension allows remote code execution by loading configuration files after opening a project
A remote code execution vulnerability exists in Visual Studio Code when the Python extension loads configuration files after opening a project, aka 'Visual Studio Code Python Extension Remote Code Execution Vulnerability'. This CVE ID is unique from CVE-2020-1192.
Nautilus-python Malicious Python file in current directory can execute local code
Untrusted search path vulnerability in the Python language bindings for Nautilus (nautilus-python) allows local users to execute arbitrary code via a Trojan horse Python file in the current working directory, related to a vulnerability in the PySys_SetArgv function (CVE-2008-5983).
XML DoS in pre-0.9.0 Feedgen (Python), allows XML content in fields, leading to potential XML Bomb exploit
Feedgen (python feedgen) before 0.9.0 is susceptible to XML Denial of Service attacks. The *feedgen* library allows supplying XML as content for some of the available fields. This XML will be parsed and integrated into the existing XML tree. During this process, feedgen is vulnerable to XML Denial of Service Attacks (e.g. XML Bomb). This becomes a concern in particular if feedgen is used to include content from untrused sources and if XML (including XHTML) is directly included instead of providing plain tex content only. This problem has been fixed in feedgen 0.9.0 which disallows XML entity expansion and external resources.
Python-scciclient: Unverified HTTPS, MITM risk
A flaw was found in the python-scciclient when making an HTTPS connection to a server where the server's certificate would not be verified. This issue opens up the connection to possible Man-in-the-middle (MITM) attacks.
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.
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