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
SolarWinds
SolarWinds Serv-U contains a path traversal vulnerability that allows an attacker access to read sensitive files on the host machine.
Adobe
Adobe Commerce and Magento Open Source contain an improper restriction of XML external entity reference (XXE) vulnerability that allows for remote code execution.
OSGeo
OSGeo GeoServer GeoTools contains an improper neutralization of directives in dynamically evaluated code vulnerability due to unsafely evaluating property names as XPath expressions. This allows unauthenticated attackers to conduct remote code execution via specially crafted input.
Rejetto
Rejetto HTTP File Server contains an improper neutralization of special elements used in a template engine vulnerability. This allows a remote, unauthenticated attacker to execute commands on the affected system by sending a specially crafted HTTP request.
Microsoft
Microsoft Windows Hyper-V contains a privilege escalation vulnerability that allows a local attacker with user permissions to gain SYSTEM privileges.
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.
MUKUL-TIWARI/CyberShield-Security-Suite
AI-powered phishing, email, and vishing detection system.
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.