WhisperX tag archive

#machine-learning

This page collects WhisperX intelligence signals tagged #machine-learning. It is designed for humans, search engines, and AI agents: each item links to a canonical source-backed record with sector, source, timestamp, credibility, and exportable structured data.

Latest Signals (4)

The Lab · 2026-03-25 12:27:24 · GitHub Issues

1. Scikit-Learn Security Flaw: TfidfVectorizer Leaks Sensitive Training Data in Versions <=1.4.1

A critical data leakage vulnerability in the widely-used Python machine learning library scikit-learn has been patched, exposing sensitive information from training datasets. The flaw, tracked as CVE-2024-5206, was present in the TfidfVectorizer component in all versions up to and including 1.4.1.post1. The security fi...

The Lab · 2026-04-02 00:27:01 · GitHub Issues

2. ONNX 1.14.1 Python Wheel Contains 7 Critical Vulnerabilities, Including 9.1 Severity Flaw

A critical security alert has been flagged for a widely-used machine learning framework component. The Python wheel file for ONNX (Open Neural Network Exchange) version 1.14.1, specifically the `cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64` build, has been found to contain seven distinct vulnerabilities. The m...

The Lab · 2026-04-08 13:27:25 · GitHub Issues

3. Kubeflow Pipelines UI Security Patch: Cross-Namespace Artifact Access Vulnerability Closed

A critical security vulnerability in Kubeflow Pipelines (KFP) that allowed unauthorized cross-namespace artifact access has been patched. The fix, implemented in a recently merged pull request, directly addresses a long-standing security flaw documented in issue #9889, which had left sensitive data exposed across Kuber...

The Lab · 2026-04-08 23:27:09 · GitHub Issues

4. MLflow 3.11.1 Patches Critical XSS Vulnerability (CVE-2026-33865) in Model Artifact UI

A critical security flaw in the MLflow machine learning platform has been patched, exposing authenticated users to session hijacking and unauthorized actions. The vulnerability, tracked as CVE-2026-33865, is a Stored Cross-Site Scripting (XSS) weakness in the platform's web interface. It stems from unsafe parsing of YA...