VAITP Dataset

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Details
Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1612
1537
CVE-2025-11157
Insecure YAML deserialization in Feast Kubernetes materializer allows RCE.

A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Local
1536
CVE-2025-68700
Authenticated RCE in RAGFlow via unsafe eval() on untrusted output.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine. In versions prior to 0.23.0, a low-privileged authenticated user (normal login account) can execute arbitrary system commands on the server host process via the frontend Canvas CodeExec component, completely bypassing sandbox isolation. This occurs because untrusted data (stdout) is parsed using eval() with no filtering or sandboxing. The intended design was to "automatically convert string results into Python objects," but this effectively executes attacker-controlled code. Additional endpoints lack access control or contain inverted permission logic, significantly expanding the attack surface and enabling chained exploitation. Version 0.23.0 contains a patch for the issue.

Checking
Input Validation and Sanitization
Command Injection
Remote
1534
CVE-2025-69257
theshit allows local privilege escalation via insecure config file loading.

theshit is a command-line utility that automatically detects and fixes common mistakes in shell commands. Prior to version 0.1.1, the application loads custom Python rules and configuration files from user-writable locations (e.g., `~/.config/theshit/`) without validating ownership or permissions when executed with elevated privileges. If the tool is invoked with `sudo` or otherwise runs with an effective UID of root, it continues to trust configuration files originating from the unprivileged user's environment. This allows a local attacker to inject arbitrary Python code via a malicious rule or configuration file, which is then executed with root privileges. Any system where this tool is executed with elevated privileges is affected. In environments where the tool is permitted to run via `sudo` without a password (`NOPASSWD`), a local unprivileged user can escalate privileges to root without additional interaction. The issue has been fixed in version 0.1.1. The patch introduces strict ownership and permission checks for all configuration files and custom rules. The application now enforces that rules are only loaded if they are owned by the effective user executing the tool. When executed with elevated privileges (`EUID=0`), the application refuses to load any files that are not owned by root or that are writable by non-root users. When executed as a non-root user, it similarly refuses to load rules owned by other users. This prevents both vertical and horizontal privilege escalation via execution of untrusted code. If upgrading is not possible, users should avoid executing the application with `sudo` or as the root user. As a temporary mitigation, ensure that directories containing custom rules and configuration files are owned by root and are not writable by non-root users. Administrators may also audit existing custom rules before running the tool with elevated privileges.

Checking
Authentication, Authorization, and Session Management
Privilege Escalation
Local
1533
CVE-2025-54322
Root RCE in Xspeeder SXZOS via base64-encoded code in the chkid parameter.

Xspeeder SXZOS through 2025-12-26 allows root remote code execution via base64-encoded Python code in the chkid parameter to vLogin.py. The title and oIP parameters are also used.

Checking
Input Validation and Sanitization
Command Injection
Remote
1532
CVE-2025-68668
n8n Python Code Node sandbox bypass allows for remote code execution.

n8n is an open source workflow automation platform. From version 1.0.0 to before 2.0.0, a sandbox bypass vulnerability exists in the Python Code Node that uses Pyodide. An authenticated user with permission to create or modify workflows can exploit this vulnerability to execute arbitrary commands on the host system running n8n, using the same privileges as the n8n process. This issue has been patched in version 2.0.0. Workarounds for this issue involve disabling the Code Node by setting the environment variable NODES_EXCLUDE: "[\"n8n-nodes-base.code\"]", disabling Python support in the Code node by setting the environment variable N8N_PYTHON_ENABLED=false, which was introduced in n8n version 1.104.0, and configuring n8n to use the task runner based Python sandbox via the N8N_RUNNERS_ENABLED and N8N_NATIVE_PYTHON_RUNNER environment variables.

Checking
Input Validation and Sanitization
Command Injection
Remote
1531
CVE-2025-14931
Hugging Face smolagents allows unauthenticated RCE via pickle deserialization.

Hugging Face smolagents Remote Python Executor Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face smolagents. Authentication is not required to exploit this vulnerability. The specific flaw exists within the parsing of pickle data. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-28312.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
1530
CVE-2025-14928
Hugging Face Transformers HuBERT code injection allows RCE via checkpoint.

Hugging Face Transformers HuBERT convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must convert a malicious checkpoint. The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-28253.

Checking
Input Validation and Sanitization
Command Injection
Remote
1529
CVE-2025-14927
Hugging Face Transformers convert_config allows RCE via code injection.

Hugging Face Transformers SEW-D convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must convert a malicious checkpoint. The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. . Was ZDI-CAN-28252.

Checking
Input Validation and Sanitization
Command Injection
Remote
1528
CVE-2025-14926
Hugging Face Transformers convert_config vulnerable to RCE via code injection.

Hugging Face Transformers SEW convert_config Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must convert a malicious checkpoint. The specific flaw exists within the convert_config function. The issue results from the lack of proper validation of a user-supplied string before using it to execute Python code. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-28251.

Checking
Input Validation and Sanitization
Command Injection
Remote
1527
CVE-2025-61667
Datadog Linux Agent local privilege escalation from insecure permissions.

The Datadog Agent collects events and metrics from hosts and sends them to Datadog. A vulnerability within the Datadog Linux Host Agent versions 7.65.0 through 7.70.2 exists due to insufficient permissions being set on the `opt/datadog-agent/python-scripts/__pycache__` directory during installation. Code in this directory is only run by the Agent during Agent install/upgrades. This could allow an attacker with local access to modify files in this directory, which would then subsequently be run when the Agent is upgraded, resulting in local privilege escalation. This issue requires local access to the host and a valid low privilege account to be vulnerable. Note that this vulnerability only impacts the Linux Host Agent. Other variations of the Agent including the container, kubernetes, windows host and other agents are not impacted. Version 7.71.0 contains a patch for the issue.

Build/Package/Merge
Configuration Issues
Privilege Escalation
Local
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.

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Sun Tzu – “The Art of War”

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