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
Google Chromium V8 contains a type confusion vulnerability that allows for heap corruption.
Fortinet
Fortinet FortiWeb contains an OS command Injection vulnerability that may allow an authenticated attacker to execute unauthorized code on the underlying system via crafted HTTP requests or CLI commands.
Fortinet
Fortinet FortiWeb contains a relative path traversal vulnerability that may allow an unauthenticated attacker to execute administrative commands on the system via crafted HTTP or HTTPS requests.
Gladinet
Gladinet Triofox contains an improper access control vulnerability that allows access to initial setup pages even after setup is complete.
Microsoft
Microsoft Windows Kernel contains a race condition vulnerability that allows a local attacker with low-level privileges to escalate privileges. Successful exploitation of this vulnerability could enable the attacker to gain SYSTEM-level access.
AI/ML Signal Tracker
Tracks model releases, repos, and outages; summarizes impact for platform roadmaps.
- Top moving repos
- Signal strength
RepiFahmiSidiq/Onchain-Security-Suite
🛡️ Strengthen Web3 security with our AI-driven token auditor and reputation engine, ensuring safer transactions and reliable smart contracts.
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.
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.
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)"
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.
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