ctf-malware

To analyze CTF malware samples, apply static analysis to examine PE/.NET structures and embedded resources, then use dynamic debugging in a sandbox to observe runtime behavior and extract network indicators like C2 addresses.

The best way to deobfuscate payloads in a Windows PE sample is combining static analysis of hardcoded constants with dynamic debugging and memory forensics to trace execution and extract decrypted data from runtime memory.

Yes, you can use YARA rules to classify malware families during a CTF challenge. The skill provides YARA-based classification guidance to enable rapid triage by matching strings and structural patterns in the provided samples.

To extract decrypted data from obfuscated PowerShell, use dynamic analysis and instrumentation tools to observe runtime behavior, allowing you to capture the decrypted payloads and reconstruct associated C2 traffic.

Yes, this approach supports analyzing .NET assemblies. Static analysis methods are used to examine .NET structures, identify embedded resources, and extract hardcoded constants to help classify the malware family.

When static analysis reveals obfuscated strings, transition to dynamic analysis in a sandbox environment. Use debugging and memory forensics to observe the deobfuscation process at runtime and capture the cleartext data.