h2: HTTP/2 request splitting via CRLF injection on HTTP/1.1 downgrade.
h2 is a pure-Python implementation of a HTTP/2 protocol stack. Prior to version 4.3.0, an HTTP/2 request splitting vulnerability allows attackers to perform request smuggling attacks by injecting CRLF characters into headers. This occurs when servers downgrade HTTP/2 requests to HTTP/1.1 without properly validating header names/values, enabling attackers to manipulate request boundaries and bypass security controls. This issue has been patched in version 4.3.0.
Uncontrolled recursion in llama_index JSONReader leads to Denial of Service.
A denial of service vulnerability exists in the JSONReader component of the run-llama/llama_index repository, specifically in version v0.12.37. The vulnerability is caused by uncontrolled recursion when parsing deeply nested JSON files, which can lead to Python hitting its maximum recursion depth limit. This results in high resource consumption and potential crashes of the Python process. The issue is resolved in version 0.12.38.
Unverified `jk` parameter in pyLoad's CNL Blueprint causes Denial of Service.
pyLoad is the free and open-source Download Manager written in pure Python. The jk parameter is received in pyLoad CNL Blueprint. Due to the lack of jk parameter verification, the jk parameter input by the user is directly determined as dykpy.evaljs(), resulting in the server CPU being fully occupied and the web-ui becoming unresponsive. This vulnerability is fixed in 0.5.0b3.dev92.
A crafted PDF using FlateDecode filters can cause RAM exhaustion in pypdf.
pypdf is a free and open-source pure-python PDF library. Prior to version 6.0.0, an attacker can craft a PDF which leads to the RAM being exhausted. This requires just reading the file if a series of FlateDecode filters is used on a malicious cross-reference stream. Other content streams are affected on explicit access. This issue has been fixed in 6.0.0. If an update is not possible, a workaround involves including the fixed code from pypdf.filters.decompress into the existing filters file.
Python-Future allows RCE via an unintended import of a local `test.py` file.
A vulnerability in the Python-Future 1.0.0 module allows for arbitrary code execution via the unintended import of a file named test.py. When the module is loaded, it automatically imports test.py, if present in the same directory or in the sys.path. This behavior can be exploited by an attacker who has the ability to write files to the server, allowing the execution of arbitrary code.
Code injection in a Transformers4Rec dependency may allow code execution.
NVIDIA Merlin Transformers4Rec for all platforms contains a vulnerability in a python dependency, where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
NVIDIA Isaac-GR00T has a code injection flaw that may lead to code execution.
NVIDIA Isaac-GR00T for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
Code injection in NVIDIA Apex via a file can lead to code execution.
NVIDIA Apex for all platforms contains a vulnerability in a Python component where an attacker could cause a code injection issue by providing a malicious file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, information disclosure, and data tampering.
SQL Injection in pyLoad's add_package API via the add_links parameter.
pyLoad is the free and open-source Download Manager written in pure Python. Prior to version 0.5.0b3.dev91, the parameter add_links in API /json/add_package is vulnerable to SQL Injection. Attackers can modify or delete data in the database, causing data errors or loss. This issue has been patched in version 0.5.0b3.dev91.
skops get_model fallback to insecure joblib allows code execution.
skops is a Python library which helps users share and ship their scikit-learn based models. In versions 0.12.0 and below, the Card.get_model does not contain any logic to prevent arbitrary code execution. The Card.get_model function supports both joblib and skops for model loading. When loading .skops models, it uses skops' secure loading with trusted type validation, raising errors for untrusted types unless explicitly allowed. However, when non-.zip file formats are provided, the function silently falls back to joblib without warning. Unlike skops, joblib allows arbitrary code execution during loading, bypassing security measures and potentially enabling malicious code execution. This issue is fixed in version 0.13.0.
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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