Skill UI

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.

This skill details the process of reverse engineering Go-compiled malware using Ghidra. It involves parsing Go-specific metadata structures like buildinfo and pclntab to recover stripped or obfuscated function names. Users can also extract embedded module paths and dependency strings, providing critical insight into the malware's capabilities and third-party dependencies.

This skill details advanced digital forensics techniques for recovering metadata and content of deleted files by analyzing the NTFS Master File Table ($MFT). It covers examining key system artifacts like $LogFile and $UsnJrnl, and analyzing MFT slack space. Use this when reconstructing file system timelines, investigating data loss, or detecting anti-forensic techniques like timestomping during a Windows forensic examination.

Deploy Zeek for passive network analysis to generate structured logs (DNS, HTTP, etc.). This tool detects behavioral anomalies like DNS tunneling or beaconing, complementing traditional signature-based IDS tools. It is ideal for threat hunting and incident response, feeding rich protocol metadata into SIEM platforms.

A comprehensive guide detailing the methodology for identifying and exploiting Server-Side Request Forgery (SSRF). This technique is critical in authorized penetration testing, allowing attackers to pivot from public-facing applications to internal resources. Use cases include stealing cloud provider metadata (AWS, GCP), scanning private IP ranges, and accessing internal APIs and admin panels.

This skill detects persistence mechanisms by monitoring Windows startup directories for suspicious file creation (T1547.001). It utilizes real-time file system monitoring via Python watchdog, cross-references Autoruns entries, and analyzes file metadata to identify implants that survive system reboots. Essential for threat hunting and validating security monitoring coverage.

Leverage the in-toto framework to enforce software supply chain integrity for container builds. This method generates cryptographically signed attestations (link metadata) at every stage—from code checkout to scanning—verifying that the deployed container image followed a predefined and approved build process. It is essential for implementing robust security controls, especially when requiring verifiable provenance before deployment in Kubernetes environments.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

Zeek is a powerful, open-source network analysis framework that functions as a passive security monitor. It generates highly detailed, structured logs (e.g., HTTP, DNS, TLS) from raw network traffic, allowing for deep metadata extraction. This skill guides users through deploying Zeek, writing custom detection scripts, and integrating the resulting rich security logs with SIEM platforms for advanced threat detection and forensic investigations.

This comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

An expert playbook detailing DNS rebinding techniques to bypass the Same-Origin Policy (SOP). This method is used in penetration testing to exploit client-side applications that rely on DNS resolution for origin checks, allowing attackers to trick the browser into sending requests to internal, non-publicly accessible services (like cloud metadata endpoints) while maintaining a seemingly trusted origin.

This comprehensive audit guide assists researchers in preparing papers for CoNEXT submission. It covers critical workflow stages, including choosing the correct submission cycle (December or June), adhering to ACM acmart formatting and strict page budgets, managing the two-step registration process, ensuring double-anonymous review compliance, and implementing essential security checks to prevent identity leaks in artifacts and metadata.