LangChain Experimental allows Python REPL access without opt-in before 0.0.61.
langchain_experimental (aka LangChain Experimental) before 0.0.61 for LangChain provides Python REPL access without an opt-in step. NOTE; this issue exists because of an incomplete fix for CVE-2024-27444.
Server Side Template Injection in Peering Manager <=1.8.2 allows RCE.
Peering Manager is a BGP session management tool. There is a Server Side Template Injection vulnerability that leads to Remote Code Execution in Peering Manager <=1.8.2. As a result arbitrary commands can be executed on the operating system that is running Peering Manager. This issue has been addressed in version 1.8.3. Users are advised to upgrade. There are no known workarounds for this vulnerability.
Access key is logged when DEBUG level is enabled in python-glance-store.
A vulnerability was found in python-glance-store. The issue occurs when the package logs the access_key for the glance-store when the DEBUG log level is enabled.
Vulnerability in OpenStack Ironic allows unauthorized access via crafted images.
In OpenStack Ironic before 26.0.1 and ironic-python-agent before 9.13.1, there is a vulnerability in image processing, in which a crafted image could be used by an authenticated user to exploit undesired behaviors in qemu-img, including possible unauthorized access to potentially sensitive data. The affected/fixed version details are: Ironic: <21.4.3, >=22.0.0 <23.0.2, >=23.1.0 <24.1.2, >=25.0.0 <26.0.1; Ironic-python-agent: <9.4.2, >=9.5.0 <9.7.1, >=9.8.0 <9.11.1, >=9.12.0 <9.13.1.
Remote code execution via untrusted access to custom_component endpoint.
Langflow through 0.6.19 allows remote code execution if untrusted users are able to reach the "POST /api/v1/custom_component" endpoint and provide a Python script.
Remote code execution vulnerability in MEGABOT's `/math` command.
MEGABOT is a fully customized Discord bot for learning and fun. The `/math` command and functionality of MEGABOT versions < 1.5.0 contains a remote code execution vulnerability due to a Python `eval()`. The vulnerability allows an attacker to inject Python code into the `expression` parameter when using `/math` in any Discord channel. This vulnerability impacts any discord guild utilizing MEGABOT. This vulnerability was fixed in release version 1.5.0.
YAML library vulnerability in NASA AIT-Core v2.5.2 allows command execution.
An issue in the YAML Python library of NASA AIT-Core v2.5.2 allows attackers to execute arbitrary commands via supplying a crafted YAML file.
ReDoS vulnerability in Black prior to 24.3.0 via leading tabs in input.
Versions of the package black before 24.3.0 are vulnerable to Regular Expression Denial of Service (ReDoS) via the lines_with_leading_tabs_expanded function in the strings.py file. An attacker could exploit this vulnerability by crafting a malicious input that causes a denial of service. Exploiting this vulnerability is possible when running Black on untrusted input, or if you habitually put thousands of leading tab characters in your docstrings.
Werkzeug unsafe path handling on Windows with Python < 3.11 allows data access.
Werkzeug is a Web Server Gateway Interface web application library. On Python < 3.11 on Windows, os.path.isabs() does not catch UNC paths like //server/share. Werkzeug's safe_join() relies on this check, and so can produce a path that is not safe, potentially allowing unintended access to data. Applications using Python >= 3.11, or not using Windows, are not vulnerable. Werkzeug version 3.0.6 contains a patch.
Python code injection vulnerability during login with valid credentials.
Attackers with a valid username and password can exploit a python code injection vulnerability during the natural login flow.
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 ::