Untrusted search path in Blender 2.46 allows local users to execute arbitrary code via a malicious Python file in the current directory
Untrusted search path vulnerability in BPY_interface in Blender 2.46 allows local users to execute arbitrary code via a Trojan horse Python file in the current working directory, related to an erroneous setting of sys.path by the PySys_SetArgv function.
Blender 0.1.9h: Remote code execution via crafted KML/KMZ files
Eval injection vulnerability in the (a) kmz_ImportWithMesh.py Script for Blender 0.1.9h, as used in (b) Blender before 2.43, allows user-assisted remote attackers to execute arbitrary Python code by importing a crafted (1) KML or (2) KMZ file.
Segfault/DoS vulnerability pre-2.9.0 TensorFlow due to unsupported quantized types in tf.compat.v1 ops
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Web Cache Poisoning in bottle < 0.12.19 via parameter cloaking
The package bottle from 0 and before 0.12.19 are vulnerable to Web Cache Poisoning by using a vector called parameter cloaking. When the attacker can separate query parameters using a semicolon (;), they can cause a difference in the interpretation of the request between the proxy (running with default configuration) and the server. This can result in malicious requests being cached as completely safe ones, as the proxy would usually not see the semicolon as a separator, and therefore would not include it in a cache key of an unkeyed parameter.
Python file upload and execution via web app due to weak access controls
An attacker may be able to execute malicious actions due to the lack of device access protections and device permissions when using the web application. This could lead to uploading python files which can be later executed.
OrbiTeam BSCW Classic < 7.4.3 RCE via malicious .bscw file
OrbiTeam BSCW Classic before 7.4.3 allows authenticated remote code execution (RCE) during archive extraction via attacker-supplied Python code in the class attribute of a .bscw file. This is fixed in 5.0.12, 5.1.10, 5.2.4, 7.3.3, and 7.4.3.
Pickle module in system-config-firewall allows local privilege escalation via D-Bus
fw_dbus.py in system-config-firewall 1.2.29 and earlier uses the pickle Python module unsafely during D-Bus communication between the GUI and the backend, which might allow local users to gain privileges via a crafted serialized object.
Untrusted search path vuln in dstat < 0.7.0 lets local users gain privileges via a malicious Python module in current/subdirectory
Multiple untrusted search path vulnerabilities in dstat before 0.7.0 allow local users to gain privileges via a Trojan horse Python module in (1) the current working directory or (2) a certain subdirectory of the current working directory.
Incorrect permissions in Django 2.2.16, 3.0.10, and 3.1.1 cache directories with Python 3.7
An issue was discovered in Django 2.2 before 2.2.16, 3.0 before 3.0.10, and 3.1 before 3.1.1 (when Python 3.7+ is used). The intermediate-level directories of the filesystem cache had the system's standard umask rather than 0o077.
Windows XP SP1 local DoS via empty datagram on raw IP over IP socket using Python 2.3
Microsoft Windows XP SP1 allows local users to cause a denial of service (system crash) via an empty datagram to a raw IP over IP socket (IP protocol 4), as originally demonstrated using code in Python 2.3.
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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