Blue Team Labs

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

Learn to use Splunk for detecting, analyzing, and investigating cybersecurity threats through log analysis, threat hunting, privilege escalation, lateral movement, and advanced attack techniques.

Investigate a simulated multi-stage attack to identify compromise and attacker activity using Elastic SIEM.

Analyze diverse log sources in QRadar SIEM to identify compromised systems, detect malicious tools, and reconstruct the sequence of attack events.

Investigate network attack artifacts by analyzing logs in Kibana to identify compromised systems and incident timelines.

Reconstruct multi-stage attack scenarios by analyzing Splunk logs and integrating OSINT from VirusTotal, ThreatCrowd, and WHOXY to identify TTPs and IOCs.

Investigate a multi-stage supply-chain intrusion that landed via a poisoned npm dependency and pivoted through CI/CD into production and AWS by pivoting across Splunk, disk images, and git history.

The hosting panel is the new front door; chase an attacker from a forged session all the way to root, breaking out of a container and burrowing into the host along the way. By correlating SIEM telemetry, host disk forensics, and network captures across the full intrusion.

Synthesize forensic evidence from disk images, PCAP, and Splunk logs to reconstruct a Gh0stNet intrusion, identifying C2, persistence, and data exfiltration via DNS tunneling.

Investigate a multi-stage LYNX ransomware intrusion across two trusted Active Directory forests in Splunk, then statically analyze the recovered binary to surface developer artifacts and the embedded victim-contact infrastructure.