CPython's tarfile is vulnerable to an infinite loop via negative offsets.
There is a defect in the CPython โtarfileโ module affecting the โTarFileโ extraction and entry enumeration APIs. The tar implementation would process tar archives with negative offsets without error, resulting in an infinite loop and deadlock during the parsing of maliciously crafted tar archives. This vulnerability can be mitigated by including the following patch after importing the โtarfileโ module:ย https://gist.github.com/sethmlarson/1716ac5b82b73dbcbf23ad2eff8b33e1
BentoML is vulnerable to unauthenticated SSRF via its file upload feature.
BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.0 until 1.4.19, the file upload processing system contains an SSRF vulnerability that allows unauthenticated remote attackers to force the server to make arbitrary HTTP requests. The vulnerability stems from the multipart form data and JSON request handlers, which automatically download files from user-provided URLs without validating whether those URLs point to internal network addresses, cloud metadata endpoints, or other restricted resources. The documentation explicitly promotes this URL-based file upload feature, making it an intended design that exposes all deployed services to SSRF attacks by default. Version 1.4.19 contains a patch for the issue.
Sandbox escape in huggingface/smolagents allows remote code execution.
A sandbox escape vulnerability was identified in huggingface/smolagents version 1.14.0, allowing attackers to bypass the restricted execution environment and achieve remote code execution (RCE). The vulnerability stems from the local_python_executor.py module, which inadequately restricts Python code execution despite employing static and dynamic checks. Attackers can exploit whitelisted modules and functions to execute arbitrary code, compromising the host system. This flaw undermines the core security boundary intended to isolate untrusted code, posing risks such as unauthorized code execution, data leakage, and potential integration-level compromise. The issue is resolved in version 1.17.0.
skops MethodNode allows dot notation field access, leading to code execution.
skops is a Python library which helps users share and ship their scikit-learn based models. Versions 0.11.0 and below contain an inconsistency in MethodNode, which can be exploited to access unexpected object fields through dot notation. This can be used to achieve arbitrary code execution at load time. While this issue may seem similar to GHSA-m7f4-hrc6-fwg3, it is actually more severe, as it relies on fewer assumptions about trusted types. This is fixed in version 12.0.0.
skops: Inconsistency in OperatorFuncNode allows arbitrary code execution.
skops is a Python library which helps users share and ship their scikit-learn based models. Versions 0.11.0 and below contain a inconsistency in the OperatorFuncNode which can be exploited to hide the execution of untrusted operator methods. This can then be used in a code reuse attack to invoke seemingly safe functions and escalate to arbitrary code execution with minimal and misleading trusted types. This is fixed in version 0.12.0.
pyLoad auth path traversal via file upload allows arbitrary file write.
pyLoad is a free and open-source Download Manager written in pure Python. In version 0.5.0b3.dev89, an authenticated path traversal vulnerability exists in the /json/upload endpoint of pyLoad. By manipulating the filename of an uploaded file, an attacker can traverse out of the intended upload directory, allowing them to write arbitrary files to any location on the system accessible to the pyLoad process. This may lead to: Remote Code Execution (RCE), local privilege escalation, system-wide compromise, persistence, and backdoors. This is fixed in version 0.5.0b3.dev90.
Unsafe eval() in SuperAGI agent templates allows remote code execution.
Code Injection in AgentTemplate.eval_agent_config in TransformerOptimus SuperAGI 0.0.14 allows remote attackers to execute arbitrary Python code via malicious values in agent template configurations such as the goal, constraints, or instruction field, which are evaluated using eval() without validation during template loading or updates.
aimhubio Aim: XSS via malicious Python in reports executed by Pyodide.
Cross-site Scripting (XSS) in aimhubio Aim 3.28.0 allows remote attackers to execute arbitrary JavaScript in victims browsers via malicious Python code submitted to the /api/reports endpoint, which is interpreted and executed by Pyodide when the report is viewed. No sanitisation or sandbox restrictions prevent JavaScript execution via pyodide.code.run_js().
Letta-ai Letta vulnerable to RCE via sandbox bypass in the tools/run API.
Remote Code Execution in letta.server.rest_api.routers.v1.tools.run_tool_from_source in letta-ai Letta 0.7.12 allows remote attackers to execute arbitrary Python code and system commands via crafted payloads to the /v1/tools/run endpoint, bypassing intended sandbox restrictions.
Starlette DoS: Large file uploads can block the event loop.
Starlette is a lightweight ASGI (Asynchronous Server Gateway Interface) framework/toolkit, designed for building async web services in Python. In versions 0.47.1 and below, when parsing a multi-part form with large files (greater than the default max spool size) starlette will block the main thread to roll the file over to disk. This blocks the event thread which means the application can't accept new connections. The UploadFile code has a minor bug where instead of just checking for self._in_memory, the logic should also check if the additional bytes will cause a rollover. The vulnerability is fixed in version 0.47.2.
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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