performing-automated-malware-analysis-with-cape

# Performing Automated Malware Analysis with CAPE ## Overview CAPE (Config And Payload Extraction) is an open-source malware sandbox derived from Cuckoo that automates behavioral analysis, payload dumping, and configuration extraction. CAPEv2 features API hooking for behavioral instrumentation, captures files created/modified/deleted during execution, records network traffic in PCAP format, and includes 70+ custom configuration extractors (cape-parsers) for families like Emotet, TrickBot, Cobalt Strike, AsyncRAT, and Rhadamanthys. The signature system includes 1000+ behavioral signatures detecting evasion techniques, persistence, credential theft, and ransomware behavior. CAPE's debugger enables dynamic anti-evasion bypasses combining debugger actions within YARA signatures. Recommended deployment: Ubuntu LTS host with Windows 10 21H2 guest VM. ## When to Use - When conducting security assessments that involve performing automated malware analysis with cape - When following incident response procedures for related security events - When performing scheduled security testing or auditing activities - When validating security controls through hands-on testing ## Prerequisites - Ubuntu 22.04 LTS server (8+ CPU cores, 32GB+ RAM, 500GB+ SSD) - KVM/QEMU virtualization support - Windows 10 21H2 guest image - Python 3.9+ with CAPEv2 dependencies - Network configuration for isolated analysis network ## Workflow ### Step 1: Submit and Analyze Samples via API ```python #!/usr/b...