VAITP Dataset

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Total vulnerabilities in the dataset (not showing ignored and non-python related vulnerabilties): 1612
1559
CVE-2026-22041
Improper type conversion in Logging Redactor can cause log formatting errors.

Logging Redactor is a Python library designed to redact sensitive data in logs based on regex patterns and / or dictionary keys. Prior to version 0.0.6, non-string types are converted into string types, leading to type errors in %d conversions. The problem has been patched in version 0.0.6. No known workarounds are available.

Checking
Input Validation and Sanitization
Arithmetic Errors
Remote
1558
CVE-2026-21892
SQL Injection in parsl-visualize via URL allows for data exfiltration.

Parsl is a Python parallel scripting library. A SQL Injection vulnerability exists in the parsl-visualize component of versions prior to 2026.01.05. The application constructs SQL queries using unsafe string formatting (Python % operator) with user-supplied input (workflow_id) directly from URL routes. This allows an unauthenticated attacker with access to the visualization dashboard to inject arbitrary SQL commands, potentially leading to data exfiltration or denial of service against the monitoring database. Version 2026.01.05 fixes the issue.

Checking
Input Validation and Sanitization
SQL Injection
Remote
1557
CVE-2026-21874
A Redis connection leak in NiceGUI allows for unauthenticated DoS.

NiceGUI is a Python-based UI framework. From versions v2.10.0 to 3.4.1, an unauthenticated attacker can exhaust Redis connections by repeatedly opening and closing browser tabs on any NiceGUI application using Redis-backed storage. Connections are never released, leading to service degradation when Redis hits its connection limit. NiceGUI continues accepting new connections - errors are logged but the app stays up with broken storage functionality. This issue has been patched in version 3.5.0.

Timing/Serialization
Resource Management
Resource Exhaustion
Remote
1556
CVE-2026-21873
NiceGUI allows cross-site URL fragment manipulation via an iframe.

NiceGUI is a Python-based UI framework. From versions 2.22.0 to 3.4.1, an unsafe implementation in the pushstate event listener used by ui.sub_pages allows an attacker to manipulate the fragment identifier of the URL, which they can do despite being cross-site, using an iframe. This issue has been patched in version 3.5.0.

Checking
Input Validation and Sanitization
Cross-Site Scripting (XSS)
Remote
1555
CVE-2026-21872
Cross-Site Scripting in NiceGUI ui.sub_pages via crafted link click.

NiceGUI is a Python-based UI framework. From versions 2.22.0 to 3.4.1, an unsafe implementation in the click event listener used by ui.sub_pages, combined with attacker-controlled link rendering on the page, causes XSS when the user actively clicks on the link. This issue has been patched in version 3.5.0.

Checking
Input Validation and Sanitization
Cross-Site Scripting (XSS)
Remote
1554
CVE-2026-21871
XSS in NiceGUI's ui.navigate.history allows arbitrary JavaScript execution.

NiceGUI is a Python-based UI framework. From versions 2.13.0 to 3.4.1, there is a XSS risk in NiceGUI when developers pass attacker-controlled strings into ui.navigate.history.push() or ui.navigate.history.replace(). These helpers are documented as History API wrappers for updating the browser URL without page reload. However, if the URL argument is embedded into generated JavaScript without proper escaping, a crafted payload can break out of the intended string context and execute arbitrary JavaScript in the victimโ€™s browser. Applications that do not pass untrusted input into ui.navigate.history.push/replace are not affected. This issue has been patched in version 3.5.0.

Checking
Input Validation and Sanitization
Cross-Site Scripting (XSS)
Remote
1553
CVE-2026-21883
Bokeh's flawed Origin allowlist validation allows WebSocket hijacking.

Bokeh is an interactive visualization library written in Python. In versions 3.8.1 and below, if a server is configured with an allowlist (e.g., dashboard.corp), an attacker can register a domain like dashboard.corp.attacker.com (or use a subdomain if applicable) and lure a victim to visit it. The malicious site can then initiate a WebSocket connection to the vulnerable Bokeh server. Since the Origin header (e.g., http://dashboard.corp.attacker.com/) matches the allowlist according to the flawed logic, the connection is accepted. Once connected, the attacker can interact with the Bokeh server on behalf of the victim, potentially accessing sensitive data, or modifying visualizations. This issue is fixed in version 3.8.2.

Checking
Authentication, Authorization, and Session Management
Cross-Site Request Forgery (CSRF)
Remote
1552
CVE-2025-15346
wolfssl-py fails to enforce client certificates, allowing mTLS bypass.

A vulnerability in the handling of verify_mode = CERT_REQUIRED in the wolfssl Python package (wolfssl-py) causes client certificate requirements to not be fully enforced.ย  Because the WOLFSSL_VERIFY_FAIL_IF_NO_PEER_CERT flag was not included, the behavior effectively matched CERT_OPTIONAL: a peer certificate was verified if presented, but connections were incorrectly authenticated when no client certificate was provided.ย  This results in improper authentication, allowing attackers to bypass mutual TLS (mTLS) client authentication by omitting a client certificate during the TLS handshake.ย  The issue affects versions up to and including 5.8.2.

Checking
Authentication, Authorization, and Session Management
Improper SSL/TLS Certificate Validation
Remote
1551
CVE-2026-21441
urllib3 is vulnerable to a decompression bomb DoS via streamed HTTP redirects.

urllib3 is an HTTP client library for Python. urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once. urllib3 can perform decoding or decompression based on the HTTP `Content-Encoding` header (e.g., `gzip`, `deflate`, `br`, or `zstd`). When using the streaming API, the library decompresses only the necessary bytes, enabling partial content consumption. Starting in version 1.22 and prior to version 2.6.3, for HTTP redirect responses, the library would read the entire response body to drain the connection and decompress the content unnecessarily. This decompression occurred even before any read methods were called, and configured read limits did not restrict the amount of decompressed data. As a result, there was no safeguard against decompression bombs. A malicious server could exploit this to trigger excessive resource consumption on the client. Applications and libraries are affected when they stream content from untrusted sources by setting `preload_content=False` when they do not disable redirects. Users should upgrade to at least urllib3 v2.6.3, in which the library does not decode content of redirect responses when `preload_content=False`. If upgrading is not immediately possible, disable redirects by setting `redirect=False` for requests to untrusted source.

Checking
Resource Management
Resource Exhaustion
Remote
1549
CVE-2025-14026
Forcepoint One DLP Client ctypes restriction bypass allows code execution.

Forcepoint One DLP Client, version 23.04.5642 (and possibly newer versions), includes a restricted version of Python 2.5.4 that prevents use of the ctypes library. ctypes is a foreign function interface (FFI) for Python, enabling calls to DLLs/shared libraries, memory allocation, and direct code execution. It was demonstrated that these restrictions could be bypassed.

Checking
Design Defects
Poorly Designed Access Controls
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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