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
Microsoft
The kernel in Microsoft Windows, when access to 16-bit applications is enabled on a 32-bit x86 platform, does not properly validate certain BIOS calls, which allows local users to gain privileges.
Adobe
Unspecified vulnerability in Adobe Reader and Acrobat allows attackers to cause a denial of service or possibly execute arbitrary code.
Microsoft
Microsoft Office Excel allows remote attackers to execute arbitrary code via a spreadsheet with a FEATHEADER record containing an invalid cbHdrData size element that affects a pointer offset.
Microsoft
The kernel in Microsoft Windows does not properly validate changes to unspecified kernel objects, which allows local users to gain privileges via a crafted application.
Oracle
An input validation vulnerability exists in the VBoxDrv.sys driver of Sun xVM VirtualBox which allows attackers to locally execute arbitrary code.
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