Blue Team Labs

This lab aims to equip learners with practical skills in malware analysis by dissecting a multi-stage AsyncRAT infection. Participants will explore obfuscation techniques, payload extraction, persistence mechanisms, and steganographic methods used in real-world malware, enhancing their ability to detect, analyze, and respond to complex cyber threats.

Reconstruct a multi-system LockBit ransomware attack chain by correlating Windows event logs, registry artifacts, and PowerShell activity to identify TTPs.

Learn cloud forensics by analyzing Google Cloud logs with JQ to identify compromised accounts, data exfiltration, and attacker persistence methods in a simulated breach scenario.

Develop skills in forensic analysis, attack chain reconstruction, and threat detection following a web server compromise using Linux forensic techniques.

Analyze suspicious logs to author custom Sigma rules that detect lateral movement techniques within a SIEM environment.

Analyze packed malware behavior, detect persistence mechanisms, and investigate data exfiltration through dynamic analysis, traffic interception, and reverse engineering techniques.

Analyze Windows event logs in Splunk to identify T1197 BITS abuse, LOLBAS usage, attacker IP, and persistence mechanisms.

Analyze Windows 10 notification artifacts, installed applications, LNK files, and Applications logs to uncover malicious activity and enhance forensic investigation capabilities.

Investigate fileless malware by analyzing registry artifacts, decrypting in-memory payloads, and identifying malware families using forensic tools and reverse engineering techniques.

Analyze AWS CloudTrail logs with `jq` to reconstruct attacker TTPs, identify privilege escalation, and detect persistence mechanisms within a compromised cloud environment.