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
Microsoft Internet Explorer contains an unspecified vulnerability that allows remote attackers to gain privileges via a crafted web site.
Adobe
Adobe Reader and Acrobat on Windows allow attackers to bypass a sandbox protection mechanism, and consequently execute native code in a privileged context.
Microsoft
Microsoft Internet Explorer cotains an unspecified vulnerability that allows remote attackers to gain privileges via a crafted web site.
Microsoft
Microsoft Input Method Editor (IME) Japanese is a keyboard with Japanese characters that can be enabled on Windows systems as it is included by default (with the default set as disabled). IME Japanese contains an unspecified vulnerability when IMJPDCT.EXE (IME for Japanese) is installed which allows attackers to bypass a sandbox and perform privilege escalation.
Linux
The futex_requeue function in kernel/futex.c in Linux kernel does not ensure that calls have two different futex addresses, which allows local users to gain privileges.
AI/ML Signal Tracker
Tracks model releases, repos, and outages; summarizes impact for platform roadmaps.
- Top moving repos
- Signal strength
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.
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
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.
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.