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
Adobe
Adobe ColdFusion contains a deserialization vulnerability in the Apache BlazeDS library that allows for arbitrary code execution.
Microsoft
Microsoft Power Pages contains an improper access control vulnerability that allows an unauthorized attacker to elevate privileges over a network potentially bypassing the user registration control.
Palo Alto Networks
Palo Alto Networks PAN-OS contains an external control of file name or path vulnerability. Successful exploitation enables an authenticated attacker with network access to the management web interface to read files on the PAN-OS filesystem that are readable by the “nobody” user.
Craft CMS
Craft CMS contains a code injection vulnerability caused by improper validation of the database backup path, ultimately enabling remote code execution.
Palo Alto Networks
Palo Alto Networks PAN-OS contains an authentication bypass vulnerability in its management web interface. This vulnerability allows an unauthenticated attacker with network access to the management web interface to bypass the authentication normally required and invoke certain PHP scripts.
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.
zimingttkx/Network-Security-Based-On-ML
🛡️ 基于机器学习的网络安全威胁检测系统 | 完整的端到端ML项目，包含数据处理、模型训练、Web界面和API服务 | 适合初学者学习的实战项目 | Python + FastAPI + Scikit-learn + XGBoost
Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
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.
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)"