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
Samsung
Samsung mobile devices using Mali GPU contain an incorrect implementation handling file descriptor in dpu driver. This incorrect implementation results in memory corruption, leading to kernel panic. This vulnerability was chained with CVE-2021-25337 and CVE-2021-25369.
Google Chromium V8 Engine contains a type confusion vulnerability that allows a remote attacker to potentially exploit heap corruption via a crafted HTML page. This vulnerability could affect multiple web browsers that utilize Chromium, including, but not limited to, Google Chrome, Microsoft Edge, and Opera.
Apple
Apple iOS and iPadOS kernel contain an out-of-bounds write vulnerability which can allow an application to perform code execution with kernel privileges.
Cisco
Cisco AnyConnect Secure Mobility Client for Windows interprocess communication (IPC) channel allows for insufficient validation of resources that are loaded by the application at run time. An attacker with valid credentials on Windows could execute code on the affected machine with SYSTEM privileges.
Cisco
Cisco AnyConnect Secure Mobility Client for Windows allows for incorrect handling of directory paths. An attacker with valid credentials on Windows would be able to copy malicious files to arbitrary locations with system level privileges. This could include DLL pre-loading, DLL hijacking, and other related attacks.
AI/ML Signal Tracker
Tracks model releases, repos, and outages; summarizes impact for platform roadmaps.
- Top moving repos
- Signal strength
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.
RepiFahmiSidiq/Onchain-Security-Suite
🛡️ Strengthen Web3 security with our AI-driven token auditor and reputation engine, ensuring safer transactions and reliable smart contracts.
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.
XSource-Sec/awesome-ai-security
A curated list of AI security resources, tools, research papers, and more
MUKUL-TIWARI/CyberShield-Security-Suite
AI-powered phishing, email, and vishing detection system.
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
