Skill UI

A comprehensive methodology for detecting advanced system compromises, including rootkits, hidden processes, and kernel-level malware. It utilizes memory forensics, cross-view detection (comparing different system views), and integrity checking to identify manipulated kernel structures, hooked system calls (SSDT, IAT, IRP), and covert network connections. Ideal for deep forensic investigations where standard tools fail to reveal the true state of a compromised system.

This skill provides a methodology for proactive threat hunting to detect compromised service accounts. It focuses on identifying anomalous activities such as unusual interactive logons, unauthorized privilege escalation, lateral movement, and suspicious access patterns using SIEM/EDR platforms. Essential for incident response and compliance.

Executes authorized, advanced attack simulations against Active Directory environments to identify critical misconfigurations, weak credentials, and exploitable trust relationships. Utilizing industry tools like BloodHound, Mimikatz, and Impacket, this process simulates complex attacks such as Kerberoasting, Golden Ticket forging, and domain compromise path analysis, helping organizations validate their security posture against real-world threats.

This utility performs comprehensive forensic analysis on memory dumps. It leverages industry-standard tools like Volatility and Mimikatz to extract sensitive information, including cached credentials, NTLM/LM hashes, Kerberos tickets, and authentication tokens. It is crucial for incident response, assessing the scope of credential compromise, and investigating lateral movement attacks.

This skill provides a comprehensive workflow to extract Indicators of Compromise (IOCs) from malware samples and analysis reports. It covers file hashes (SHA256, MD5), network artifacts (IPs, domains, URLs from strings and PCAPs), and host-based indicators (registry keys, file paths, mutexes) from sandbox reports. It is essential for threat intelligence sharing, building blocklists, and creating detection signatures (YARA, Snort).

A proactive methodology for detecting signs of compromise by analyzing outbound network traffic. This technique focuses on identifying anomalous patterns, such as connections to rare destinations, non-standard ports (T1571), or unusual connection frequencies, which often indicate Command and Control (C2) activity or data exfiltration.

A comprehensive guide to implementing Mimecast Targeted Threat Protection (TTP). This suite defends against sophisticated phishing, spearphishing, and Business Email Compromise (BEC) attacks by integrating four core modules: URL Protect, Attachment Protect, Impersonation Protect, and Internal Email Protect. Follow the detailed workflow to secure your organizational communications and meet compliance standards.

A comprehensive guide and workflow for digital forensic investigators to analyze ransomware artifacts. This process involves preserving volatile evidence (memory dumps), identifying the ransomware variant from file extensions and ransom notes, establishing the attack timeline using Prefetch and Event Logs, and extracting critical Indicators of Compromise (IoCs) such as Bitcoin addresses and Tor sites. Essential for incident response and recovery planning.

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.

This guide details the methodology and tools for conducting authorized privilege escalation assessments within AWS environments. It systematically utilizes specialized tools like Pacu and Principal Mapper (PMapper) to identify critical IAM misconfigurations, excessive permissions, and weak cross-account trust relationships. It is essential for validating the principle of least privilege and assessing the potential blast radius of compromised credentials during authorized penetration testing.

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.

A comprehensive guide to executing cloud-native incident containment procedures across major platforms including AWS, Azure, and GCP. Learn how to systematically isolate compromised resources, revoke malicious credentials, apply network restrictions (Security Groups/ACLs), and capture forensic evidence to prevent lateral movement during a security event. Essential for security assessments and incident response.