TLS certificate validation vulnerability in software-properties (before version 0.92)
software-properties was vulnerable to a person-in-the-middle attack due to incorrect TLS certificate validation in softwareproperties/ppa.py. software-properties didn't check TLS certificates under python2 and only checked certificates under python3 if a valid certificate bundle was provided. Fixed in software-properties version 0.92.
Denial of service (memory consumption) in Plone (before 4.2.3 and 4.3 beta 1) via large value
python_scripts.py in Plone before 4.2.3 and 4.3 before beta 1 allows remote attackers to cause a denial of service (memory consumption) via a large value, related to formatColumns.
Denial of service in Plone (before 4.2.3 and 4.3 beta 1) via RSS feed request
python_scripts.py in Plone before 4.2.3 and 4.3 before beta 1 allows remote attackers to cause a denial of service (infinite loop) via an RSS feed request for a folder the user does not have permission to access.
Cross-site scripting (XSS) in Plone (before 4.2.3 and 4.3 beta 1)
Cross-site scripting (XSS) vulnerability in python_scripts.py in Plone before 4.2.3 and 4.3 before beta 1 allows remote attackers to inject arbitrary web script or HTML via unspecified vectors, related to "{u,}translate."
Untrusted search path vulnerability in ActivePython 3.2.2.3 during installation
Untrusted search path vulnerability in the installation functionality in ActivePython 3.2.2.3, when installed in the top-level C:\ directory, might allow local users to gain privileges via a Trojan horse DLL in the C:\Python27 or C:\Python27\Scripts directory, which may be added to the PATH system environment variable by an administrator, as demonstrated by a Trojan horse wlbsctrl.dll file used by the "IKE and AuthIP IPsec Keying Modules" system service in Windows Vista SP1, Windows Server 2008 SP2, Windows 7 SP1, and Windows 8 Release Preview. NOTE: CVE disputes this issue because the unsafe PATH is established only by a separate administrative action that is not a default part of the ActivePython installation
Memory corruption in Vyper (before 0.3.0) due to struct function call
Vyper is a Pythonic Smart Contract Language for the EVM. In affected versions when performing a function call inside a literal struct, there is a memory corruption issue that occurs because of an incorrect pointer to the the top of the stack. This issue has been resolved in version 0.3.0.
Decimal argument bounds validation issue in Vyper (before 0.3.0)
Vyper is a Pythonic Smart Contract Language for the EVM. In affected versions external functions did not properly validate the bounds of decimal arguments. The can lead to logic errors. This issue has been resolved in version 0.3.0.
Arbitrary code execution in 23andMe Yamale (before 3.0.8)
23andMe Yamale before 3.0.8 allows remote attackers to execute arbitrary code via a crafted schema file. The schema parser uses eval as part of its processing, and tries to protect from malicious expressions by limiting the builtins that are passed to the eval. When processing the schema, each line is run through Python's eval function to make the validator available. A well-constructed string within the schema rules can execute system commands; thus, by exploiting the vulnerability, an attacker can run arbitrary code on the image that invokes Yamale.
Denial of service in mod_python 2.7.9 (CAN-2003-0973 variant)
Unknown vulnerability in mod_python 2.7.9 allows remote attackers to cause a denial of service (httpd crash) via a certain query string, a variant of CAN-2003-0973.
Denial of service in mod_python (3.0.x < 3.0.4, 2.7.x < 2.7.9)
Unknown vulnerability in mod_python 3.0.x before 3.0.4, and 2.7.x before 2.7.9, allows remote attackers to cause a denial of service (httpd crash) via a certain query string.
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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