Blue Team Labs

Understand and analyze ATM-targeting malware using static analysis tools, identify malicious behaviors, and trace how malware exploits legitimate APIs like XFS to manipulate ATM hardware and perform unauthorized actions.

Reconstruct a BlueSky ransomware attack by analyzing network traffic, decoding PowerShell scripts, and examining persistence mechanisms to identify attacker tactics and IOCs.

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.

Reconstruct Amadey Trojan behavior by analyzing memory dumps with Volatility3 to identify malicious processes, C2 communications, payload delivery, and persistence mechanisms.

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.