Skill UI

This tool leverages the Rekall memory forensics framework to conduct deep analysis of memory dumps. It is designed to detect sophisticated threats such as process hollowing, injected code via VAD anomalies, hidden operating system processes, and rootkit presence. It applies key forensic plugins (pslist, malfind, vadinfo) essential for rigorous incident response and malware analysis.

This skill guides threat hunters in detecting Cobalt Strike Command and Control (C2) beacons. It utilizes advanced network forensic techniques, including analyzing default TLS certificate serials, JA3/JA3S/JARM fingerprints, beacon jitter, and HTTP profile matching. Detection is achieved by correlating data from Zeek logs, Suricata rules, and Python PCAP analysis to identify suspicious outbound communications.

This skill guides the progressive adoption of the CISA Zero Trust Maturity Model (ZTMM) v2.0. It provides a comprehensive, structured roadmap for assessing and improving security architecture across five critical pillars: Identity, Devices, Networks, Applications, and Data. Learn to perform gap analysis and implement advanced controls needed to achieve optimal zero trust compliance.

A comprehensive guide and tool for implementing secure network segmentation in Operational Technology (OT) environments. It utilizes the Purdue Model and traffic baseline analysis to design secure zones using VLANs, industrial firewalls, and data diodes, ensuring migration from flat networks without operational disruption. Ideal for achieving IEC 62443 compliance and securing IT/OT convergence points.

This guide details passive OT network traffic analysis using Nozomi Networks Guardian sensors. It provides methods to achieve comprehensive asset visibility, real-time threat detection, and vulnerability assessment across sensitive Industrial Control Systems (ICS) without disrupting operations. It is crucial for building robust OT Security Operations Centers (SOCs) and ensuring compliance with industry standards like IEC 62443.

This guide details the comprehensive implementation of privileged session monitoring and recording using Privileged Access Management (PAM) solutions, such as CyberArk PSM. It covers essential steps including architectural routing, configuring keystroke logging, real-time risk analysis, and establishing secure, tamper-proof audit trails for critical administrative access (RDP, SSH, Databases). Essential for meeting strict compliance standards like SOX, HIPAA, and PCI-DSS.

A comprehensive guide for SOC analysts and digital forensics experts. This skill covers the entire lifecycle of a phishing incident, from initial user report and header analysis (SPF, DKIM, DMARC) to detonating malicious URLs/attachments in sandboxes. It guides users on scoping the attack, identifying impacted users via SIEM/proxy logs, and executing containment measures like email purges.

This tool performs comprehensive API inventory and discovery across an organization's environment. It identifies all API endpoints—including documented, undocumented, shadow, and deprecated APIs—by combining passive traffic analysis (HAR files), active scanning, DNS enumeration, and cloud resource auditing. It helps map the complete API attack surface, crucial for security assessments and compliance requirements like PCI-DSS and SOC2.

CAPE is an open-source sandbox built for automated malware analysis, derived from Cuckoo. It provides advanced behavioral monitoring, payload dumping, and configuration extraction using over 70 parsers for known malware families (e.g., Emotet, Cobalt Strike). It captures network IOCs, dropped files, and detects anti-evasion techniques, making it ideal for security assessments and incident response workflows via its robust API.

This comprehensive guide outlines a structured workflow for conducting digital forensics investigations across major cloud providers, including AWS, Azure, and GCP. It covers critical steps such as evidence preservation (snapshots, metadata capture), systematic log collection (CloudTrail, Activity Logs, Audit Logs, VPC Flow Logs), and advanced analysis techniques to trace unauthorized accesses and identify root causes of security breaches.

A comprehensive guide for analyzing firmware images from embedded systems, IoT devices, routers, and specialized components like UEFI/BIOS. This skill covers advanced techniques including filesystem extraction, binary reverse engineering (using Ghidra/IDA), rootkit detection, and deep forensic analysis to uncover backdoors, implants, and supply chain compromises. Essential for cybersecurity professionals investigating compromised hardware.

This skill automates GraphQL introspection to extract the complete API schema, including types, queries, mutations, and subscriptions. It is designed to map the entire attack surface, helping authorized testers identify sensitive endpoints and test for vulnerabilities such as query depth abuse, batching attacks, and resource exhaustion. Ideal for comprehensive API security assessment.