URL Analysis

MetaDefender Sandbox provides organizations with advanced tools to combat evolving web-based threats through dynamic URL analysis, machine learning-driven web threat detection, and offline threat assessment.

1. Comprehensive URL Analysis & Real-Time IOC Detection: The sandbox captures critical details about certificates, GET/POST requests, and cross-references extracted indicators of compromise (IOCs) against MetaDefender Cloud’s real-time reputation service, which includes over 50 billion hashes, URLs, IPs, and domains, ensuring immediate identification of known malicious elements.
2. AI-Powered Phishing Detection: Utilizing full Chrome-based webpage rendering combined with machine learning-driven image analysis, the platform detects phishing attempts by scrutinizing visuals for impersonations of over 338 major brands.
3. AI-Powered Web Threat Detection: Innovations like web threat detection enhance accuracy, offering real-time evaluation that outperforms traditional reputation-based methods by analyzing site structure, behavior, and content in milliseconds.
4. Offline URL Reputation for Air-Gapped Environments: Designed for disconnected or secure deployments, the offline machine learning model evaluates URLs without live network access. Using pre-trained datasets, it identifies suspicious links through static analysis, providing consistent threat detection in environments where traditional real-time methods may falter.

Together, these capabilities deliver a unified defense against web threats, balancing speed, precision, and adaptability. Whether in cloud-connected, on-premise, or air-gapped environments, organizations have the tools to dive deeper into workflows, API integration, and real-world applications.