Out-of-bounds array access in Vyper (before version 0.3.8)
Vyper is a Pythonic smart contract language for the Ethereum virtual machine. Prior to version 0.3.8, during codegen, the length word of a dynarray is written before the data, which can result in out-of-bounds array access in the case where the dynarray is on both the lhs and rhs of an assignment. The issue can cause data corruption across call frames. The expected behavior is to revert due to out-of-bounds array access. Version 0.3.8 contains a patch for this issue.
Storage allocation overflow vulnerability in Vyper (before version 0.3.8)
Vyper is a pythonic smart contract language for the EVM. The storage allocator does not guard against allocation overflows in versions prior to 0.3.8. An attacker can overwrite the owner variable. This issue was fixed in version 0.3.8.
Incorrect bytecode generation in Vyper (versions 0.3.1 through 0.3.7) for raw_call with specific parameters
Vyper is a Pythonic Smart Contract Language for the ethereum virtual machine. In versions 0.3.1 through 0.3.7, the Vyper compiler generates the wrong bytecode. Any contract that uses the `raw_call` with `revert_on_failure=False` and `max_outsize=0` receives the wrong response from `raw_call`. Depending on the memory garbage, the result can be either `True` or `False`. A patch is available and, as of time of publication, anticipated to be part of Vyper 0.3.8. As a workaround, one may always put `max_outsize>0`.
Unauthenticated directory traversal in flaskcode (through 0.0.8) allows writing to arbitrary files via a POST request to a /update-resource-data/ URI
An issue was discovered in the flaskcode package through 0.0.8 for Python. An unauthenticated directory traversal, exploitable with a POST request to a /update-resource-data/ URI (from views.py), allows attackers to write to arbitrary files.
Unauthenticated directory traversal in flaskcode (through 0.0.8) allows reading arbitrary files via a GET request to a /resource-data/.txt URI
An issue was discovered in the flaskcode package through 0.0.8 for Python. An unauthenticated directory traversal, exploitable with a GET request to a /resource-data/.txt URI (from views.py), allows attackers to read arbitrary files.
Arbitrary code execution in langchain-ai (v0.0.232 and earlier) via PythonAstREPLTool._run component
An issue in langchain langchain-ai v.0.0.232 and before allows a remote attacker to execute arbitrary code via a crafted script to the PythonAstREPLTool._run component.
Critical use-after-free vulnerability in MicroPython 1.21.0/1.22.0-preview.
A vulnerability, which was classified as critical, has been found in MicroPython 1.21.0/1.22.0-preview. Affected by this issue is the function poll_set_add_fd of the file extmod/modselect.c. The manipulation leads to use after free. The exploit has been disclosed to the public and may be used. The patch is identified as 8b24aa36ba978eafc6114b6798b47b7bfecdca26. It is recommended to apply a patch to fix this issue. VDB-249158 is the identifier assigned to this vulnerability.
Persistent cross-site scripting (XSS) in Gitlab Community Edition version 9.1 via IPython notebooks component
Gitlab Community Edition version 9.1 is vulnerable to lack of input validation in the IPython notebooks component resulting in persistent cross site scripting.
Manipulation of SAML data without invalidating the cryptographic signature in OneLogin PythonSAML (2.3.0 and earlier)
OneLogin PythonSAML 2.3.0 and earlier may incorrectly utilize the results of XML DOM traversal and canonicalization APIs in such a way that an attacker may be able to manipulate the SAML data without invalidating the cryptographic signature, allowing the attack to potentially bypass authentication to SAML service providers.
Access to possibly dangerous functions in mod_python (version 2.7.6 and earlier) via published modules
mod_python version 2.7.6 and earlier allows a module indirectly imported by a published module to then be accessed via the publisher, which allows remote attackers to call possibly dangerous functions from the imported module.
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”
:: Shaping the future through research and ingenuity ::