VAITP Dataset

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Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1611
1589
CVE-2026-0771
Code injection in Langflow Python functions allows remote code execution.

Langflow PythonFunction Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Langflow. Attack vectors and exploitability will vary depending on the configuration of the product. The specific flaw exists within the handling of Python function components. Depending upon product configuration, an attacker may be able to introduce custom Python code into a workflow. An attacker can leverage this vulnerability to execute code in the context of the application. Was ZDI-CAN-27497.

Checking
Input Validation and Sanitization
Command Injection
Remote
1588
CVE-2026-0769
Langflow's eval_custom_component_code is vulnerable to unauthenticated RCE.

Langflow eval_custom_component_code Eval Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Langflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the implementation of eval_custom_component_code 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 process. Was ZDI-CAN-26972.

Checking
Input Validation and Sanitization
Command Injection
Remote
1587
CVE-2026-0768
Langflow unauthenticated code injection allows remote execution as root.

Langflow code Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Langflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the handling of the code parameter provided to the validate endpoint. 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 root. . Was ZDI-CAN-27322.

Checking
Input Validation and Sanitization
Command Injection
Remote
1586
CVE-2026-0766
Open WebUI authenticated RCE in the load_tool_module_by_id function.

Open WebUI load_tool_module_by_id Command Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Open WebUI. Authentication is required to exploit this vulnerability. The specific flaw exists within the load_tool_module_by_id 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 service account. Was ZDI-CAN-28257.

Checking
Input Validation and Sanitization
Command Injection
Remote
1585
CVE-2026-0761
MetaGPT actionoutput_str_to_mapping unauthenticated code injection RCE.

Foundation Agents MetaGPT actionoutput_str_to_mapping Code Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Foundation Agents MetaGPT. Authentication is not required to exploit this vulnerability. The specific flaw exists within the actionoutput_str_to_mapping 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 service account. Was ZDI-CAN-28124.

Checking
Input Validation and Sanitization
Command Injection
Remote
1584
CVE-2025-15523
Inkscape's bundled Python on macOS enables TCC bypass for local file access.

MacOS version of Inkscape bundles a Python interpreter that inherits the Transparency, Consent, and Control (TCC) permissions granted by the user to the main application bundle. An attacker with local user access can invoke this interpreter with arbitrary commands or scripts, leveraging the application's previously granted TCC permissions to access user's files in privacy-protected folders without triggering user prompts. Accessing other resources beyond previously granted TCC permissions will prompt the user for approval in the name of Inkscape, potentially disguising attacker's malicious intent. This issue has been fixed in 1.4.3 version of Inkscape.

Build/Package/Merge
Authentication, Authorization, and Session Management
Privilege Escalation
Local
1583
CVE-2026-24130
LDAP search filter injection in Moonraker allows brute-force user discovery.

Moonraker is a Python web server providing API access to Klipper 3D printing firmware. In versions 0.9.3 and below, instances configured with the "ldap" component enabled are vulnerable to LDAP search filter injection techniques via the login endpoint. The 401 error response message can be used to determine whether or not a search was successful, allowing for brute force methods to discover LDAP entries on the server such as user IDs and user attributes. This issue has been fixed in version 0.10.0.

Checking
Input Validation and Sanitization
SQL Injection
Remote
1582
CVE-2026-24049
wheel unpack allows arbitrary file permission changes via a crafted wheel.

wheel is a command line tool for manipulating Python wheel files, as defined in PEP 427. In versions 0.46.1 and below, the unpack function is vulnerable to file permission modification through mishandling of file permissions after extraction. The logic blindly trusts the filename from the archive header for the chmod operation, even though the extraction process itself might have sanitized the path. Attackers can craft a malicious wheel file that, when unpacked, changes the permissions of critical system files (e.g., /etc/passwd, SSH keys, config files), allowing for Privilege Escalation or arbitrary code execution by modifying now-writable scripts. This issue has been fixed in version 0.46.2.

Checking
Input Validation and Sanitization
Path Traversal
Local
1581
CVE-2026-24002
Insecure Grist pyodide sandbox allows for arbitrary code execution.

Grist is spreadsheet software using Python as its formula language. Grist offers several methods for running those formulas in a sandbox, for cases where the user may be working with untrusted spreadsheets. One such method runs them in pyodide, but pyodide on node does not have a useful sandbox barrier. If a user of Grist sets `GRIST_SANDBOX_FLAVOR` to `pyodide` and opens a malicious document, that document could run arbitrary processes on the server hosting Grist. The problem has been addressed in Grist version 1.7.9 and up, by running pyodide under deno. As a workaround, a user can use the gvisor-based sandbox by setting `GRIST_SANDBOX_FLAVOR` to `gvisor`.

Interface
Design Defects
Security Misconfigurations
Remote
1580
CVE-2026-23946
Insecure deserialization in Tendenci's Helpdesk allows authenticated RCE.

Tendenci is an open source content management system built for non-profits, associations and cause-based sites. Versions 15.3.11 and below include a critical deserialization vulnerability in the Helpdesk module (which is not enabled by default). This vulnerability allows Remote Code Execution (RCE) by an authenticated user with staff security level due to using Python's pickle module in helpdesk /reports/. The original CVE-2020-14942 was incompletely patched. While ticket_list() was fixed to use safe JSON deserialization, the run_report() function still uses unsafe pickle.loads(). The impact is limited to the permissions of the user running the application, typically www-data, which generally lacks write (except for upload directories) and execute permissions. This issue has been fixed in version 15.3.12.

Timing/Serialization
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
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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