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
Array Networks
Array Networks AG and vxAG ArrayOS contain a missing authentication for critical function vulnerability that allows an attacker to read local files and execute code on the SSL VPN gateway.
Oracle
Oracle Agile Product Lifecycle Management (PLM) contains an incorrect authorization vulnerability in the Process Extension component of the Software Development Kit. Successful exploitation of this vulnerability may result in unauthenticated file disclosure.
Apple
Apple iOS, macOS, and other Apple products contain an unspecified vulnerability when processing maliciously crafted web content that may lead to a cross-site scripting (XSS) attack.
Apple
Apple iOS, macOS, and other Apple products contain an unspecified vulnerability when processing maliciously crafted web content that may lead to arbitrary code execution.
VMware
VMware vCenter contains an improper check for dropped privileges vulnerability. This vulnerability could allow an attacker with network access to the vCenter Server to escalate privileges to root by sending a specially crafted packet.
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)"