Skill UI

A detailed guide for conducting professional disk forensics investigations, covering the entire lifecycle from evidence acquisition to artifact analysis. This includes establishing a strict chain of custody, performing bit-for-bit forensic imaging using write blockers, identifying file system structures (MFT, inodes), recovering deleted files, analyzing key artifacts (Prefetch, Amcache), and reconstructing precise timelines of activity for incident response cases.

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.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This skill provides a systematic methodology for investigating malware persistence mechanisms across Windows and Linux systems. It covers analyzing critical areas like the Windows Registry (SYSTEM, SOFTWARE, Run keys), Scheduled Tasks, and WMI artifacts. Use it during incident response, threat hunting, or digital forensics to ensure all unauthorized startup entries are found and remediated.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.

This comprehensive guide outlines the end-to-end workflow for mobile device forensics, covering data acquisition and analysis for both iOS and Android platforms. It details techniques using commercial tools like Cellebrite UFED and open-source utilities (ALEAPP, iLEAPP, ADB). This methodology is critical for investigating deleted messages, call logs, location data, and application artifacts in legal or corporate investigations.

This comprehensive guide details a professional workflow for performing network forensics using Wireshark and tshark. Learn how to analyze captured PCAP files to identify malicious communications, reconstruct data exfiltration, extract crucial artifacts (HTTP, SMB, DICOM), and detect indicators of compromise (IOCs). Essential for incident response and malware analysis.

This skill guides users through conducting a comprehensive maturity assessment using the NIST Cybersecurity Framework (CSF) 2.0. It covers calculating an organization's cybersecurity posture against the six core functions (Govern, Identify, Protect, Detect, Respond, Recover) and the four Implementation Tiers (Partial to Adaptive). The process culminates in detailed gap analysis and the creation of a strategic improvement roadmap.

This tool performs a comprehensive review of OAuth 2.0 scopes, identifying over-permissioned third-party application integrations, excessive API scopes, and unused token grants. It is crucial for implementing the principle of least privilege across complex identity providers and SaaS ecosystems. Use cases include compliance auditing (GDPR, SOC 2), post-incident security reviews, and managing shadow IT risk by auditing cross-boundary consent grants.

A comprehensive tool for conducting deep security assessments of SSL/TLS server configurations. It uses the sslyze library to evaluate supported protocol versions (e.g., TLS 1.0-1.3), cipher suite strength, certificate chain validity, HSTS enforcement, and scan for critical vulnerabilities like Heartbleed and ROBOT. Ideal for security auditing and incident response.

A comprehensive guide and workflow demonstrating how to use YARA rules for proactive threat hunting. This method helps detect unknown malware, suspicious patterns, and Indicators of Compromise (IOCs) across filesystems, memory dumps, and network artifacts, making it essential for incident response and security analysis.