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
BeyondTrust
BeyondTrust Privileged Remote Access (PRA) and Remote Support (RS) contain a command injection vulnerability, which can allow an unauthenticated attacker to inject commands that are run as a site user.
Reolink
Reolink RLC-410W IP cameras contain an authenticated OS command injection vulnerability in the device network settings functionality.
Reolink
Reolink RLC-410W, C1 Pro, C2 Pro, RLC-422W, and RLC-511W IP cameras contain an authenticated OS command injection vulnerability. This vulnerability allows an authenticated admin to use the "TestEmail" functionality to inject and run OS commands as root.
NUUO
NUUO NVRmini2 devices contain a missing authentication vulnerability that allows an unauthenticated attacker to upload an encrypted TAR archive, which can be abused to add arbitrary users.
NUUO
NUUO NVRmini devices contain an OS command injection vulnerability. This vulnerability allows remote command execution via shell metacharacters in the uploaddir parameter for a writeuploaddir command.
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
Western-OC2-Lab/AutoML-and-Adversarial-Attack-Defense-for-Zero-Touch-Network-Security
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
prashantshukla01/Network_Security
This project aims to detect malicious network activity using Machine Learning-based Intrusion Detection. It focuses on analyzing network traffic data to classify whether behavior is normal or attack-related, helping organizations strengthen their cybersecurity posture.
PeterHovng/HUTECH_DACN.CyberSecurity
Đồ án chuyên ngành - ngành An ninh mạng "Hệ thống phát hiện tấn công mạng trên AWS bằng Machine Learning (Network Intrusion Detection System - NIDS)"