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.
Type confusion in TensorFlow, leads to null pointer dereference, fixed in TensorFlow 2.5.0 with backports
TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array(https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
TensorFlow < 2.2.1 and 2.3.1: Uninitialized memory corruption in dlpack.to_dlpack due to Python object mishandling
In Tensorflow before versions 2.2.1 and 2.3.1, the implementation of `dlpack.to_dlpack` can be made to use uninitialized memory resulting in further memory corruption. This is because the pybind11 glue code assumes that the argument is a tensor. However, there is nothing stopping users from passing in a Python object instead of a tensor. The uninitialized memory address is due to a `reinterpret_cast` Since the `PyObject` is a Python object, not a TensorFlow Tensor, the cast to `EagerTensor` fails. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Cobbler before 3.3.1 allows Python module imports via "#from MODULE import" in templar.py, posing a security risk
An issue was discovered in Cobbler before 3.3.1. In the templar.py file, the function check_for_invalid_imports can allow Cheetah code to import Python modules via the "#from MODULE import" substring. (Only lines beginning with #import are blocked.)
Cloudflare-scrape 1.6.6 to 1.7.1 allows malicious sites to execute Python code on user's scrapers
An issue was discovered in cloudflare-scrape 1.6.6 through 1.7.1. A malicious website owner could craft a page that executes arbitrary Python code against any cfscrape user who scrapes that website. This is fixed in 1.8.0.
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”
:: Shaping the future through research and ingenuity ::