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
RARLAB
RARLAB WinRAR contains a path traversal vulnerability allowing an attacker to execute code in the context of the current user.
Microsoft
Microsoft Windows Cloud Files Mini Filter Driver contains a use after free vulnerability that can allow an authorized attacker to elevate privileges locally.
D-Link
D-Link Routers contains a buffer overflow vulnerability that has a high impact on confidentiality, integrity, and availability. The impacted products could be end-of-life (EoL) and/or end-of-service (EoS). Users should discontinue product utilization.
Array Networks
Array Networks ArrayOS AG contains an OS command injection vulnerability that could allow an attacker to execute arbitrary commands.
Meta
Meta React Server Components contains a remote code execution vulnerability that could allow unauthenticated remote code execution by exploiting a flaw in how React decodes payloads sent to React Server Function endpoints. Please note CVE-2025-66478 has been rejected, but it is associated with CVE-2025- 55182.
AI/ML Signal Tracker
Tracks model releases, repos, and outages; summarizes impact for platform roadmaps.
- Top moving repos
- Signal strength
dsp-dr/defcon33-model-security-lab
Security research on AI/ML model vulnerabilities based on DEF CON 33 presentations. Demonstrates pickle RCE, TorchScript exploitation, ONNX injection, model poisoning, and integrated LLM attacks with PromptMap2.
rayrockers2309/Security-Anti-Fraud-Executive-Website
This are my project based learning with Anti Fraud's Model implementation and Sentiment analysis based on headline's news with correlation in banks and economic's news.
Irene-Busah/Network-Security-Project
End-to-end Machine Learning Operations (MLOps) project on Network Security, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation.
eliyasakondo/Api-Security-ML-Detection
🛡️ Real-time API security system using ML for threat detection. Protects against SQL injection, XSS, brute force attacks with live dashboard monitoring. Python Flask + scikit-learn powered cybersecurity solution.
tomosantos/network-security
This project is a comprehensive machine learning solution for detecting phishing attempts using industry data engineering and MLOps practices. The system implements an end-to-end pipeline that processes phishing data, validates data quality, transforms features, and trains machine learning models with automated deployment capabilities.
viraj-gavade/Network-Security-Machine-Learning-Project
This project is a complete end-to-end machine learning pipeline for network security analysis built during Krish Naik's Machine Learning Bootcamp. It uses advanced ML techniques to detect and classify network security threats from network data.