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
Artifex
Artifex Ghostscript allows -dSAFER bypass and remote command execution via .rsdparams type confusion with a "/OutputFile.
Microsoft
Microsoft Windows allows an attacker to take control of the affected system when Windows Search fails to handle objects in memory.
Kaseya
ConnectWise ManagedITSync integration for Kaseya VSA is vulnerable to unauthenticated remote commands that allow full direct access to the Kaseya VSA database.
Microsoft
An information disclosure vulnerability exists when Internet Explorer does not properly handle JavaScript. The vulnerability could allow an attacker to detect specific files on the user's computer.
Microsoft
An information disclosure vulnerability exists in the way that certain functions in Internet Explorer and Edge handle objects in memory. The vulnerability could allow an attacker to detect specific files on the user's computer.
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检测系统 | 集成Kitsune/LUCID算法 | 支持ML/DL/RL模型 | 99.58%攻击检测准确率 | 19913 QPS | Docker/K8s部署
raghavpoonia/ai-security-mastery
Complete 90-day learning path for AI security: ML fundamentals → LLM internals → AI threats → Detection engineering. Built from first principles with NumPy implementations, Jupyter notebooks, and production-ready detection systems.
hmshujaatzaheer/federated-scion-security-framework
Formally Verified Federated Learning Framework for Privacy-Preserving Anomaly Detection in Path-Aware Networks (PhD Research)
Mohamed-Tamer-Nassr/Network-Security-Model
A machine-learning–based phishing detection system that analyzes URL and network features to identify malicious sites, built with Python, FastAPI, Scikit-Learn, MongoDB, and Docker.