VAITP Dataset

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Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1438
1816
CVE-2026-41314
pypdf Denial of Service via crafted PDF with a large FlateDecode image.

pypdf is a free and open-source pure-python PDF library. An attacker who uses a vulnerability present in versions prior to 6.10.2 can craft a PDF which leads to the RAM being exhausted. This requires accessing an image using `/FlateDecode` with large size values. This has been fixed in pypdf 6.10.2. As a workaround, one may apply the changes from the patch manually.

Checking
Resource Management
Resource Exhaustion
Remote
1815
CVE-2026-41168
A crafted PDF with large size values can cause a Denial of Service in pypdf.

pypdf is a free and open-source pure-python PDF library. An attacker who uses a vulnerability present in versions prior to 6.10.1 can craft a PDF which leads to long runtimes. This requires cross-reference streams with wrong large `/Size` values or object streams with wrong large `/N` values. This has been fixed in pypdf 6.10.1. As a workaround, one may apply the changes from the patch manually.

Checking
Resource Management
Resource Exhaustion
Remote
1814
CVE-2026-6603
Remote code injection in agentscope's python/shell execution functions.

A vulnerability was determined in modelscope agentscope up to 1.0.18. Affected by this vulnerability is the function execute_python_code/execute_shell_command of the file src/AgentScope/tool/_coding/_python.py. This manipulation causes code injection. The attack is possible to be carried out remotely. The exploit has been publicly disclosed and may be utilized. The vendor was contacted early about this disclosure but did not respond in any way.

Checking
Input Validation and Sanitization
Command Injection
Remote
1813
CVE-2026-41425
Authlib Starlette client lacks CSRF protection on its cache feature.

Authlib is a Python library which builds OAuth and OpenID Connect servers. Prior to 1.6.11, there is no CSRF protection on the cache feature in authlib.integrations.starlette_client.OAuth. This vulnerability is fixed in 1.6.11.

Checking
Authentication, Authorization, and Session Management
Cross-Site Request Forgery (CSRF)
Remote
1812
CVE-2026-41140
Path traversal vulnerability in Poetry when extracting sdist tarballs.

Poetry is a dependency manager for Python. Prior to 2.3.4, the extractall() function in src/poetry/utils/helpers.py:410-426 extracts sdist tarballs without path traversal protection on Python versions where tarfile.data_filter is unavailable. Considering only Python versions which are still supported by Poetry, these are 3.10.0 - 3.10.12 and 3.11.0 - 3.11.4. This vulnerability is fixed in 2.3.4.

Checking
Input Validation and Sanitization
Path Traversal
Remote
1811
CVE-2026-41066
lxml XML External Entity (XXE) vulnerability allows reading local files.

lxml is a library for processing XML and HTML in the Python language. Prior to 6.1.0, using either of the two parsers in the default configuration (with resolve_entities=True) allows untrusted XML input to read local files. Setting the resolve_entities option explicitly to resolve_entities='internal' or resolve_entities=False disables the local file access. This vulnerability is fixed in 6.1.0.

Interface
Input Validation and Sanitization
Insecure Parsing or Deserialization
Remote
1810
CVE-2026-33078
Roxy-WI is vulnerable to SQL injection via the 'server_ip' URL parameter.

Roxy-WI is a web interface for managing Haproxy, Nginx, Apache and Keepalived servers. Versions prior to 8.2.6.4 have a SQL injection vulnerability in the haproxy_section_save function in app/routes/config/routes.py. The server_ip parameter, sourced from the URL path, is passed unsanitized through multiple function calls and ultimately interpolated into a SQL query string using Python string formatting, allowing attackers to execute arbitrary SQL commands. Version 8.2.6.4 fixes the issue.

Checking
Input Validation and Sanitization
SQL Injection
Remote
1809
CVE-2026-41265
Flowise Airtable Agent allows remote code execution via prompt injection.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the Airtable_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the Airtable Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the flowise server. This vulnerability is fixed in 3.1.0.

Checking
Input Validation and Sanitization
Command Injection
Remote
1808
CVE-2026-41264
Flowise CSV Agent prompt injection allows unsandboxed code execution.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, the specific flaw exists within the run method of the CSV_Agents class. The issue results from the lack of proper sandboxing when evaluating an LLM generated python script. An attacker can leverage this vulnerability to execute code in the context of the user running the server. Using prompt injection techniques, an unauthenticated attacker with the ability to send prompts to a chatflow using the CSV Agent node may convince an LLM to respond with a malicious python script that executes attacker controlled commands on the Flowise server. This vulnerability is fixed in 3.1.0.

Checking
Input Validation and Sanitization
Command Injection
Remote
1807
CVE-2026-41138
Flowise AirtableAgent RCE from unsanitized input executed via Pandas.

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, there is a remote code execution vulnerability in AirtableAgent.ts caused by lack of input verification when using Pandas. The userโ€™s input is directly applied to the question parameter within the prompt template and it is reflected to the Python code without any sanitization. This vulnerability is fixed in 3.1.0.

Checking
Input Validation and Sanitization
Command Injection
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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Sun Tzu – “The Art of War”

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