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Live Signals

Threat surface, AI/ML signals.

Live

Threat Surface Pulse

Real-time snapshots from CISA KEV and other signals. Highlights exposed risk and trending CVEs.

  • Recent KEV additions
  • Exec-ready talking points
CVE-2025-10585Due 10/14/2025

Google

Google Chromium contains a type confusion vulnerability in the V8 JavaScript and WebAssembly engine.

CVE-2025-5086Due 10/2/2025

Dassault Systèmes

Dassault Systèmes DELMIA Apriso contains a deserialization of untrusted data vulnerability that could lead to a remote code execution.

CVE-2025-38352Due 9/25/2025

Linux

Linux kernel contains a time-of-check time-of-use (TOCTOU) race condition vulnerability that has a high impact on confidentiality, integrity, and availability.

CVE-2025-48543Due 9/25/2025

Android

Android Runtime contains a use-after-free vulnerability potentially allowing a chrome sandbox escape leading to local privilege escalation.

CVE-2025-53690Due 9/25/2025

Sitecore

Sitecore Experience Manager (XM), Experience Platform (XP), Experience Commerce (XC), and Managed Cloud contain a deserialization of untrusted data vulnerability involving the use of default machine keys. This flaw allows attackers to exploit exposed ASP.NET machine keys to achieve remote code execution.

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Live

AI/ML Signal Tracker

Tracks model releases, repos, and outages; summarizes impact for platform roadmaps.

  • Top moving repos
  • Signal strength
12/13/20252

mikehubers/Awesome-AI-For-Security

🛡️ Discover essential tools and resources that leverage AI for enhancing cybersecurity, focusing on modern technologies and their applications in security operations.

12/13/20251

vittipum/CyberSecurity-Network-Sniffer

🛡️ A lightweight Python-based network scanner that detects and lists all devices on your local network using IP and MAC addresses. Built with Scapy for cybersecurity and network analysis tasks.

12/13/20252

polymons/MCP-Security-Proxy

A project to test MCP voulnerabilities and defense strategies in a cloud-native Dockerized environmen. This repository is part of my Bsc thesis in computer engineering at Óbuda University.

12/12/20252

AyoubElmortaji/Cloud-Security

Analysis and Detection of Threats in Cloud Environments Using Machine Learning Developed an anomaly detection model achieving 80% accuracy with Random Forest. This academic project, completed during my Cybersecurity & Cloud Computing studies at ENSAM Casablanca, focuses on identifying suspicious activities and threats in cloud logs using machine l

12/11/20250

PeterHovng/HUTECH_DACN.CyberSecurity

Đồ án chuyên ngành An ninh mạng "Hệ thống phát hiện tấn công mạng trên AWS bằng Machine Learning"

12/11/20251

PeterHovng/HUTECH_DACS.CyberSecurity

Nghiên cứu khoa học & Đồ án cơ sở - ngành An ninh mạng "Hệ thống phát hiện và phòng chống tấn công Web bằng Machine Learning (Web Intrusion Detection System - WIDS)"

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