Cyber Threat Showdown: TikTok Malware, Exploit Scoring Wars & Real-World Attacks

Forecast = Stormy with a chance of TikTok malware showers—exploit scoring systems hot, but patch management outlook remains partly cloudy. Welcome to Storm⚡️Watch! In this episode, we're diving into the current state of cyber weather with a mix of news, analysis, and practical insights. This week, we tackle a fundamental question: are all exploit scoring systems bad, or are some actually useful? We break down the major frameworks: **CVSS (Common Vulnerability Scoring System):** The industry standard for assessing vulnerability severity, CVSS uses base, temporal, and environmental metrics to give a comprehensive score. It's widely used but has limitations—especially since it doesn't always reflect real-world exploitability. **Coalition Exploit Scoring System (ESS):** This system uses AI and large language models to predict the likelihood that a CVE will be exploited in the wild. ESS goes beyond technical severity, focusing on exploit availability and usage probabilities, helping organizations prioritize patching with better accuracy than CVSS alone. **EPSS (Exploit Prediction Scoring System):** EPSS is a data-driven approach that estimates the probability of a vulnerability being exploited, using real-world data from honeypots, IDS/IPS, and more. It updates daily and helps teams focus on the most urgent risks. **VEDAS (Vulnerability & Exploit Data Aggregation System):** VEDAS aggregates data from over 50 sources and clusters vulnerabilities, providing a score based on exploit prevalence and maturity. It's designed to help teams understand which vulnerabilities are most likely to be actively exploited. **LEV/LEV2 (Likely Exploited Vulnerabilities):** Proposed by NIST, this metric uses historical EPSS data to probabilistically assess exploitation, helping organizations identify high-risk vulnerabilities that might otherwise be missed. **CVSS BT:** This project enriches CVSS scores with real-world threat intelligence, including data from CISA KEV, ExploitDB, and