Signature Based Detection
Signature Based Detection groups the cybersecurity tools focused on signature based detection, pulled from across every category so you can compare every option in one place. Filter by category or pricing to narrow the field. Independent and vendor-neutral: we never sell rankings.
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AI-powered WAF with 15+ attack vectors and sub-50ms real-time decisions.
REST API service for scanning files/URLs for malware, viruses & NSFW content.
Kernel-level application whitelisting to block unauthorized code execution.
AI-based Android malware scanning via SDK and REST API for mobile/IoT.
Cloud-based IoT/OT asset intelligence engine for device profiling and OEM detection.
Multi-engine malware detection system for files across email, web, and network traffic.
Free antivirus for Windows PCs with real-time monitoring & ransomware blocking.
Windows antivirus & endpoint protection with AI detection and cloud scanning.
Prevention-first next-gen EDR stopping zero-day & ransomware in <20ms.
EPP antivirus with signature-based and behavioral malware detection
Cloud-based malware prevention engine using ML and sandboxing for file threats
Next-gen IPS detecting & blocking network threats via signatures & behavior
A repository of YARA rules for identifying and classifying malware through pattern-based detection.
A modified version of Cuckoo Sandbox with enhanced features and capabilities.
A Python script that detects and removes Thinkst Canary Tokens from files using signature-based detection methods.
A tool for advanced HTTPD logfile security analysis and forensics, implementing various techniques to detect attacks against web applications.
Signature-based YARA rules for detecting and preventing threats within Linux, Windows, and macOS systems.
A collection of Yara signatures developed by Citizen Lab to detect malware used in targeted attacks against civil society organizations.
GCTI's open-source detection signatures for malware and threat detection
A community-maintained repository of YARA rules for detecting and classifying malware based on patterns and characteristics.
