VAITP Dataset

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CVE
Vulnerability
ODC
Category
Subcategory
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Details
Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1890
773
aiohttp v3.8.4 and earlier HTTP server parser vulnerability

aiohttp is an asynchronous HTTP client/server framework for asyncio and Python. aiohttp v3.8.4 and earlier are bundled with llhttp v6.0.6. Vulnerable code is used by aiohttp for its HTTP request parser when available which is the default case when installing from a wheel. This vulnerability only affects users of aiohttp as an HTTP server (ie `aiohttp.Application`), you are not affected by this vulnerability if you are using aiohttp as an HTTP client library (ie `aiohttp.ClientSession`). Sending a crafted HTTP request will cause the server to misinterpret one of the HTTP header values leading to HTTP request smuggling. This issue has been addressed in version 3.8.5. Users are advised to upgrade. Users unable to upgrade can reinstall aiohttp using `AIOHTTP_NO_EXTENSIONS=1` as an environment variable to disable the llhttp HTTP request parser implementation. The pure Python implementation isn't vulnerable.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
772
Insecure MD5 hashing in EnroCrypt < v1.1.4

EnroCrypt is a Python module for encryption and hashing. Prior to version 1.1.4, EnroCrypt used the MD5 hashing algorithm in the hashing file. Beginners who are unfamiliar with hashes can face problems as MD5 is considered an insecure hashing algorithm. The vulnerability is patched in v1.1.4 of the product. As a workaround, users can remove the `MD5` hashing function from the file `hashing.py`.

Algorithm
Cryptographic
Weak encryption algorithm
Local
771
XWiki Commons code execution via improper escaping

XWiki Commons are technical libraries common to several other top level XWiki projects. Any user with edit rights can execute arbitrary Groovy, Python or Velocity code in XWiki leading to full access to the XWiki installation. The root cause is improper escaping of the included pages in the IncludedDocuments panel. The problem has been patched on XWiki 14.4.7, and 14.10.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
770
Code execution via unescaped included pages in XWiki Commons

XWiki Commons are technical libraries common to several other top level XWiki projects. Any user with edit rights can execute arbitrary Groovy, Python or Velocity code in XWiki leading to full access to the XWiki installation. The root cause is improper escaping of the included pages in the included documents edit panel. The problem has been patched on XWiki 14.4.7, and 14.10.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
769
Rizin 0.4.0 and prior, UNIX-like, PYC file, out-of-bounds write

Rizin is a UNIX-like reverse engineering framework and command-line toolset. Versions 0.4.0 and prior are vulnerable to an out-of-bounds write when getting data from PYC(python) files. A user opening a malicious PYC file could be affected by this vulnerability, allowing an attacker to execute code on the user's machine. Commit number 68948017423a12786704e54227b8b2f918c2fd27 contains a patch.

Function
Memory Corruption
Out-of-Bound Accesses
Local
768
XSS vulnerability in python-lxml (before 4.6.3) clean module

An XSS vulnerability was discovered in python-lxml's clean module versions before 4.6.3. When disabling the safe_attrs_only and forms arguments, the Cleaner class does not remove the formaction attribute allowing for JS to bypass the sanitizer. A remote attacker could exploit this flaw to run arbitrary JS code on users who interact with incorrectly sanitized HTML. This issue is patched in lxml 4.6.3.

Function
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
767
Path traversal in Apport <= 2.20.4 allows Python file execution

An issue was discovered in Apport before 2.20.4. There is a path traversal issue in the Apport crash file "Package" and "SourcePackage" fields. These fields are used to build a path to the package specific hook files in the /usr/share/apport/package-hooks/ directory. An attacker can exploit this path traversal to execute arbitrary Python files from the local system.

Function
Input Validation and Sanitization
Path Traversal
Local
766
Vim 5.0-7.1, Python build: Insecure Makefile-conf ownership and permissions allow code execution by local users

src/configure.in in Vim 5.0 through 7.1, when used for a build with Python support, does not ensure that the Makefile-conf temporary file has the intended ownership and permissions, which allows local users to execute arbitrary code by modifying this file during a time window, or by creating it ahead of time with permissions that prevent its modification by configure.

Timing/Serialization
Authentication, Authorization, and Session Management
Privilege Escalation
Local
765
LibreOffice < 6.0.7 and 6.1.3: Directory Traversal, Execute Arbitrary Macros

It was found that libreoffice before versions 6.0.7 and 6.1.3 was vulnerable to a directory traversal attack which could be used to execute arbitrary macros bundled with a document. An attacker could craft a document, which when opened by LibreOffice, would execute a Python method from a script in any arbitrary file system location, specified relative to the LibreOffice install location.

Function
Input Validation and Sanitization
Path Traversal
Local
764
Django 1.4.x to 1.6.x auth framework CPU DoS via long password

The authentication framework (django.contrib.auth) in Django 1.4.x before 1.4.8, 1.5.x before 1.5.4, and 1.6.x before 1.6 beta 4 allows remote attackers to cause a denial of service (CPU consumption) via a long password which is then hashed.

Function
Resource Management
Resource Exhaustion
Remote
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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