Skill UI

A comprehensive guide for incident responders detailing how to investigate Active Directory (AD) compromises. This skill covers analyzing critical components like NTDS.dit integrity, detecting Kerberos anomalies (Golden/Silver Tickets), tracing lateral movement, and identifying Group Policy abuse to reconstruct attacker activity and determine the full scope of a breach.

A comprehensive guide to investigating AWS account compromises by querying CloudTrail logs. Use boto3 or AWS Athena to filter suspicious activities—such as unauthorized API calls, S3 data exfiltration, or IAM privilege escalation—to reconstruct a detailed attacker timeline and generate a professional forensic report.

A comprehensive guide to deploying deception technologies, including honeypots, honeytokens, and decoy systems, within a Security Operations Center (SOC). This skill is used to detect advanced attackers who bypass perimeter defenses by monitoring lateral movement, credential abuse, and internal reconnaissance. It provides high-fidelity, near-zero false positive alerts and is essential for threat hunting and incident response strategy.

A comprehensive guide for conducting deep disk forensics investigations. This method covers secure evidence acquisition, creating bit-for-bit forensic images, analyzing file system structures (MFT, inodes), recovering deleted files, and reconstructing timelines using industry-standard tools like Autopsy, FTK Imager, and The Sleuth Kit. Essential for legal, HR, and security incident response.

This skill guides comprehensive digital forensics investigations on compromised endpoints. It covers evidence collection (memory acquisition, disk imaging) and deep artifact analysis, including volatile data, MFT records, and prefetch files. Use it for incident response, legal evidence collection, and determining the scope of a breach by reconstructing attacker timelines.

A comprehensive guide simulating real-world attacks against internet-facing infrastructure (firewalls, web servers, DNS, etc.). It covers the entire penetration testing lifecycle, including passive and active reconnaissance, vulnerability scanning (using tools like Nmap, Nessus, and Nuclei), manual validation, and simulated exploitation, adhering to standards like PTES and OSSTMM.

This comprehensive guide details techniques for performing forensic investigations on Linux systems. It covers analyzing critical logs—including auth.log, syslog, systemd journal, and auditd—to reconstruct user sessions, trace unauthorized access, detect privilege escalation, and establish detailed event timelines following a suspected security compromise.

A comprehensive guide for collecting, parsing, and correlating system, application, and security logs from diverse sources (Windows, Linux, Web). This technique is crucial for reconstructing detailed event timelines, identifying initial access vectors, tracking lateral movement, and establishing evidence of unauthorized activity during post-breach forensic investigations.

A comprehensive guide for performing deep network forensics using Wireshark and tshark. This technique analyzes raw PCAP/PCAPNG files captured during security incidents to reconstruct network events, identify data exfiltration methods, extract sensitive artifacts (credentials, files), detect Command-and-Control (C2) communications, and pinpoint network indicators of compromise (IOCs). Ideal for digital forensics and incident response teams.

A comprehensive guide and framework for performing digital forensics analysis on PCAP/PCAPNG files. This skill covers using industry-standard tools like Wireshark, tshark, tcpdump, and Python/Scapy to reconstruct network communications, extract evidence of data exfiltration, identify command-and-control (C2) activity, and trace lateral movement during incident response.

This comprehensive guide details how to perform thorough and passive subdomain enumeration using Subfinder. It is an essential process during the reconnaissance phase of penetration testing, bug bounty hunting, and security assessments. By integrating multiple passive sources (like Shodan, Censys, and Certificate Transparency logs), users can efficiently map the entire attack surface of a target organization, discover forgotten or misconfigured assets, and prepare for subsequent vulnerability scanning.

This tool builds comprehensive forensic super-timelines by using Plaso to correlate events across diverse sources. It aggregates data from file system metadata, event logs, browser history, and registry artifacts into a unified chronological view. This capability is essential for complex digital forensic investigations requiring cross-source event correlation or detailed activity sequence reporting.