Skill UI

Opinionated Docker development assistant that analyzes Dockerfiles, docker-compose setups, multi-stage builds, and container security to shrink images, speed builds, and enforce production-ready practices when users need optimized containers.

This comprehensive guide details the process of creating forensically sound, bit-for-bit disk images using industry-standard tools like `dd` and `dcfldd` on Linux systems. It covers essential steps including enabling write protection, documenting source metadata, performing the acquisition, and crucially, verifying the image integrity using cryptographic hashing (MD5/SHA-256). This methodology is vital for digital forensics, incident response, and legal proceedings to ensure evidence remains unaltered and admissible.

Perform comprehensive digital forensic analysis on raw (dd), E01, or AFF disk images using industry-standard tools like Autopsy and The Sleuth Kit. This process allows investigators to recover deleted files, examine file system metadata, search for specific keywords, and build detailed investigation timelines. It is essential for generating structured reports from digital evidence in legal and cybersecurity investigations.

A comprehensive guide for digital forensics professionals to investigate compromised Docker containers. It covers best practices for preserving container state, analyzing image layers, reviewing runtime logs, and examining host system artifacts to identify evidence of malicious activity, container escapes, or misconfigurations.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

A comprehensive method for deep forensic analysis of NTFS disk images. It examines critical artifacts such as the Master File Table (MFT), USN Change Journal, Alternate Data Streams (ADS), and unallocated slack space. This is essential for recovering deleted file metadata, detecting hidden data, and reconstructing file system activities when standard recovery tools are insufficient.

This comprehensive guide details the systematic extraction and analysis of Windows Registry hives (SAM, SYSTEM, SOFTWARE, NTUSER.DAT) from forensic images. It demonstrates how to use specialized tools like RegRipper and Python scripts to uncover critical artifacts, including user activity history, persistence mechanisms (autorun keys), installed software records, and evidence of system compromise, which is crucial for digital forensics investigations.

Detects unauthorized runtime drift in containers by monitoring binary execution, filesystem changes, and configuration deviation from the original immutable image. Uses Falco and Microsoft Defender for Containers. Ideal for validating immutable-infrastructure controls, hunting for unexpected package installs or binaries, and determining whether a container diverged from its source image.

This comprehensive guide details the methodology for detecting Process Hollowing (MITRE T1055.012), a critical defense evasion technique used by fileless malware. It involves analyzing memory-mapped sections, correlating EDR telemetry (Sysmon, ETW), and identifying memory mismatches between the running process and its on-disk binary image. Use this skill when investigating sophisticated, in-memory threats that masquerade as legitimate system processes.

This guide details advanced methods for detecting and preventing QR code phishing (quishing) attacks. It covers how malicious URLs embedded in images bypass traditional email security filters, requiring multimodal AI, OCR, and robust mobile threat defense solutions. Essential for SOC analysts and security teams.

A comprehensive guide for digital forensics and incident response, detailing methods to extract and analyze critical web activity data. This includes history, cookies, cache, downloads, and bookmarks from major browsers like Chrome, Firefox, and Edge. Techniques involve utilizing SQLite querying and specialized tools on forensic images or live systems to establish a user's digital timeline.

Learn how to implement robust container security by integrating the open-source Trivy scanner (from Aqua Security) into your CI/CD pipelines. This guide covers scanning container images, Kubernetes manifests, IaC files, and code repositories to detect critical vulnerabilities, misconfigurations, secrets, and generating Software Bill of Materials (SBOM) for comprehensive supply chain security.