VAITP

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.

A code injection vulnerability exists in baryhuang/mcp-server-aws-resources-python 0.1.0 that allows remote code execution through insufficient input validation in the execute_query method. The vulnerability stems from the exposure of dangerous Python built-in functions (__import__, getattr, hasattr) in the execution namespace and the direct use of exec() to execute user-supplied code. An attacker can craft malicious queries to execute arbitrary Python code, leading to AWS credential theft (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), file system access, environment variable disclosure, and potential system compromise. The vulnerability allows attackers to bypass intended security controls and gain unauthorized access to sensitive AWS resources and credentials stored in the server's environment.

A command injection vulnerability exists in the MCP Data Science Server's (reading-plus-ai/mcp-server-data-exploration) 0.1.6 in the safe_eval() function (src/mcp_server_ds/server.py:108). The function uses Python's exec() to execute user-supplied scripts but fails to restrict the __builtins__ dictionary in the globals parameter. When __builtins__ is not explicitly defined, Python automatically provides access to all built-in functions including __import__, exec, eval, and open. This allows an attacker to execute arbitrary Python code with full system privileges, leading to complete system compromise. The vulnerability can be exploited by submitting a malicious script to the run_script tool, requiring no authentication or special privileges.

MaxKB is an open-source AI assistant for enterprise. In versions prior to 2.3.1, a user can get sensitive informations by Python code in tool module, although the process run in sandbox. Version 2.3.1 fixes the issue.

MaxKB is an open-source AI assistant for enterprise. In versions prior to 2.3.1, a user can access internal network services such as databases through Python code in the tool module, although the process runs in a sandbox. Version 2.3.1 fixes the issue.

Improper input validation in OneFlow v0.9.0 allows attackers to cause a segmentation fault via adding a Python sequence to the native code during broadcasting/type conversion.

An issue in AWS Wrappers for Amazon Aurora PostgreSQL may allow for privilege escalation to rds_superuser role. A low privilege authenticated user can create a crafted function that could be executed with permissions of other Amazon Relational Database Service (RDS) users. We recommend customers upgrade to the following versions: AWS JDBC Wrapper to v2.6.5, AWS Go Wrapper to 2025-10-17, AWS NodeJS Wrapper to v2.0.1, AWS Python Wrapper to v1.4.0 and AWS PGSQL ODBC driver to v1.0.1

An issue was discovered in 5.1 before 5.1.14, 4.2 before 4.2.26, and 5.2 before 5.2.8. NFKC normalization in Python is slow on Windows. As a consequence, `django.http.HttpResponseRedirect`, `django.http.HttpResponsePermanentRedirect`, and the shortcut `django.shortcuts.redirect` were subject to a potential denial-of-service attack via certain inputs with a very large number of Unicode characters. Earlier, unsupported Django series (such as 5.0.x, 4.1.x, and 3.2.x) were not evaluated and may also be affected. Django would like to thank Seokchan Yoon for reporting this issue.

The keras.utils.get_file API in Keras, when used with the extract=True option for tar archives, is vulnerable to a path traversal attack. The utility uses Python's tarfile.extractall function without the filter="data" feature. A remote attacker can craft a malicious tar archive containing special symlinks, which, when extracted, allows them to write arbitrary files to any location on the filesystem outside of the intended destination folder. This vulnerability is linked to the underlying Python tarfile weakness, identified as CVE-2025-4517. Note that upgrading Python to one of the versions that fix CVE-2025-4517 (e.g. Python 3.13.4) is not enough. One additionally needs to upgrade Keras to a version with the fix (Keras 3.12).

SQL injection vulnerability in tlocke pg8000 1.31.4 allows remote attackers to execute arbitrary SQL commands via a specially crafted Python list input to function pg8000.native.literal.