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Insights Lab

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-2025-54253Due 11/5/2025

Adobe

Adobe Experience Manager Forms in JEE contains an unspecified vulnerability that allows for arbitrary code execution.

CVE-2025-47827Due 11/4/2025

IGEL

IGEL OS contains a use of a key past its expiration date vulnerability that allows for Secure Boot bypass. The igel-flash-driver module improperly verifies a cryptographic signature. Ultimately, a crafted root filesystem can be mounted from an unverified SquashFS image.

CVE-2025-24990Due 11/4/2025

Microsoft

Microsoft Windows Agere Modem Driver contains an untrusted pointer dereference vulnerability that allows for privilege escalation. An attacker who successfully exploited this vulnerability could gain administrator privileges.

CVE-2025-59230Due 11/4/2025

Microsoft

Microsoft Windows contains an improper access control vulnerability in Windows Remote Access Connection Manager which could allow an authorized attacker to elevate privileges locally.

CVE-2016-7836Due 11/4/2025

SKYSEA

SKYSEA Client View contains an improper authentication vulnerability that allows remote code execution via a flaw in processing authentication on the TCP connection with the management console program.

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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
12/19/20250

RepiFahmiSidiq/Onchain-Security-Suite

🛡️ Strengthen Web3 security with our AI-driven token auditor and reputation engine, ensuring safer transactions and reliable smart contracts.

12/19/20252

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.

12/18/20251

prashantshukla01/Network_Security

This project aims to detect malicious network activity using Machine Learning-based Intrusion Detection. It focuses on analyzing network traffic data to classify whether behavior is normal or attack-related, helping organizations strengthen their cybersecurity posture.

12/14/20250

PeterHovng/HUTECH_DACN.CyberSecurity

Đồ án chuyên ngành - ngành An ninh mạng "Hệ thống phát hiện tấn công mạng trên AWS bằng Machine Learning (Network Intrusion Detection System - NIDS)"

12/13/20252

polymons/MCP-Security-Proxy

A project to test MCP voulnerabilities and defense strategies in a cloud-native Dockerized environment. 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

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