Zyxel NAS 326 v5.21 and below: Remote code execution via eval injection
An eval injection vulnerability in the Python web server routing on the Zyxel NAS 326 version 5.21 and below allows a remote authenticated attacker to execute arbitrary code via the tjp6jp6y4, simZysh, and ck6fup6 APIs.
CairoSVG < 2.5.1: Vulnerable to SVG REDoS
CairoSVG is a Python (pypi) package. CairoSVG is an SVG converter based on Cairo. In CairoSVG before version 2.5.1, there is a regular expression denial of service (REDoS) vulnerability. When processing SVG files, the python package CairoSVG uses two regular expressions which are vulnerable to Regular Expression Denial of Service (REDoS). If an attacker provides a malicious SVG, it can make cairosvg get stuck processing the file for a very long time. This is fixed in version 2.5.1. See Referenced GitHub advisory for more information.
Unsafe YAML load in ROS actionlib allows arbitrary Python object instantiation, enabling potential code execution by attackers
Use of unsafe yaml load. Allows instantiation of arbitrary objects. The flaw itself is caused by an unsafe parsing of YAML values which happens whenever an action message is processed to be sent, and allows for the creation of Python objects. Through this flaw in the ROS core package of actionlib, an attacker with local or remote access can make the ROS Master, execute arbitrary code in Python form. Consider yaml.safe_load() instead. Located first in actionlib/tools/library.py:132. See links for more info on the bug.
Python py library <= 1.11.0 vulnerable to remote ReDoS via mishandled InfoSvnCommand argument in Subversion info data
The py library through 1.11.0 for Python allows remote attackers to conduct a ReDoS (Regular expression Denial of Service) attack via a Subversion repository with crafted info data, because the InfoSvnCommand argument is mishandled.
PyPI package d8s-ip-addresses had code-execution backdoor via democritus-csv v0.1.0
The d8s-ip-addresses package for Python, as distributed on PyPI, included a potential code-execution backdoor inserted by a third party. The backdoor is the democritus-csv package. The affected version is 0.1.0.
Remote code execution via malicious configuration backup
Authenticated remote code execution in MotionEye <= 0.42.1 and MotioneEyeOS <= 20200606 allows a remote attacker to upload a configuration backup file containing a malicious python pickle file which will execute arbitrary code on the server.
OpenStack Swift-on-File allows remote users to execute arbitrary code via crafted extended attributes
OpenStack Swift-on-File (aka Swiftonfile) does not properly restrict use of the pickle Python module when loading metadata, which allows remote authenticated users to execute arbitrary code via a crafted extended attribute (xattrs).
XSS in Universal Feed Parser 5.x < 5.0.1 via malformed XML comments
Cross-site scripting (XSS) vulnerability in feedparser.py in Universal Feed Parser (aka feedparser or python-feedparser) 5.x before 5.0.1 allows remote attackers to inject arbitrary web script or HTML via malformed XML comments.
XSS vulnerability in feedparser.py < 5.0 allows remote script injection via nested CDATA
Cross-site scripting (XSS) vulnerability in feedparser.py in Universal Feed Parser (aka feedparser or python-feedparser) before 5.0 allows remote attackers to inject arbitrary web script or HTML via vectors involving nested CDATA stanzas.
ZODB < 3.8.2 with ZEO: Remote code execution
Unspecified vulnerability in Zope Object Database (ZODB) before 3.8.2, when certain Zope Enterprise Objects (ZEO) database sharing is enabled, allows remote attackers to execute arbitrary Python code via vectors involving the ZEO network protocol.
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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