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 Acrobat and Reader contain an input validation issue in a JavaScript method that could potentially lead to remote code execution.
Microsoft
A privilege elevation vulnerability exists in the POSIX subsystem. This vulnerability could allow a logged on user to take complete control of the system.
Microsoft
smss.exe debugging subsystem in Microsoft Windows does not properly authenticate programs that connect to other programs, which allows local users to gain administrator or SYSTEM privileges.
Synacor
Synacor Zimbra Collaboration Suite (ZCS) contains a cross-site scripting (XSS) vulnerability in the Calendar feature that allows an attacker to execute arbitrary code.
Microsoft
A remote code execution vulnerability exists in Microsoft Office software when it fails to properly handle objects in memory.
AI/ML Signal Tracker
Tracks model releases, repos, and outages; summarizes impact for platform roadmaps.
- Top moving repos
- Signal strength
Rizwan723/MCP-Security-Proxy
🔒 Implement a security proxy for Model Context Protocol using ensemble anomaly detection to classify requests as benign or attack for enhanced safety.
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.
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.
Veektor1/AI-Security-and-ML-Projects
Professional portfolio of AI and Machine Learning applications for Cybersecurity, including Phishing Detection and Reinforcement Learning.
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