Skill UI

Detects data-staging activity (MITRE ATT&CK T1074) by analyzing EDR/Sysmon process-creation and file-system telemetry. This skill monitors for archive creation (7-Zip, RAR, tar), unusual file consolidation from multiple directories, and suspicious activity in temporary or hidden paths. It is essential for threat hunting, building robust detection rules, and validating security monitoring coverage against data exfiltration attempts.

This guide provides a systematic methodology for proactive threat hunting targeting Living-off-the-Land Binaries (LOLBins). Attackers misuse legitimate, signed system binaries (like certutil or rundll32) to execute malicious payloads or download files, effectively bypassing traditional security controls and application allowlisting. Use this framework when establishing EDR/SIEM detection rules or when investigating advanced, fileless defense-evasion techniques.

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.

This comprehensive skill guides the setup and deployment of File Integrity Monitoring (FIM) using AIDE on Linux systems. It covers generating the initial baseline database, configuring monitoring rules, running scheduled checks via cron, and parsing change reports to detect unauthorized file modifications. Essential for meeting strict compliance requirements and enhancing endpoint security.

Tetragon utilizes eBPF technology to provide deep, low-overhead security observability and runtime enforcement directly within Kubernetes clusters. It monitors system calls, process execution, file access, and network connections at the kernel level, allowing users to detect or block dangerous activities like container escapes or privilege escalation, ensuring robust cluster security and compliance.

A comprehensive guide detailing Next.js 16+ usage with Turbopack. Turbopack, written in Rust, is an incremental bundler designed to drastically speed up development startup and Hot Module Replacement (HMR) by utilizing file system caching. This document guides developers on best practices, differentiating between the default Turbopack usage and when to revert to Webpack for debugging or compatibility.

This skill implements a comprehensive brand monitoring system to detect brand impersonation attacks across multiple digital attack surfaces, including domain squatting, social media profiles, phishing sites, mobile apps, and the dark web. It uses tools like dnstwist and integrates APIs (Google Safe Browsing, VirusTotal) to proactively identify unauthorized brand usage and potential cyber threats targeting an organization.

This comprehensive guide provides best practices for hardening container images, dramatically minimizing the attack surface in production environments. It covers advanced techniques such as implementing multi-stage builds, using distroless images, running containers as non-root users, and configuring read-only filesystems. Adherence to CIS Docker Benchmark and secure DevSecOps practices are key focuses.

This skill guides users through advanced container security practices using Trivy. It covers vulnerability scanning for container images, filesystems, IaC (Terraform, K8s), and Git repositories. Key features include generating industry-standard SBOMs (CycloneDX/SPDX), integrating scanning into CI/CD pipelines, and deploying the Kubernetes Operator for comprehensive supply chain security and compliance auditing.

This skill provides a systematic cryptographic audit tool designed to review applications for security vulnerabilities. It scans source code and configuration files to detect weak hashing algorithms (MD5, SHA-1), insecure cipher modes (ECB), hardcoded secrets, and deprecated protocols like TLS 1.0. Essential for security assessments, compliance checks, and maintaining secure coding practices.

A comprehensive guide for conducting deep disk forensics investigations. This method covers secure evidence acquisition, creating bit-for-bit forensic images, analyzing file system structures (MFT, inodes), recovering deleted files, and reconstructing timelines using industry-standard tools like Autopsy, FTK Imager, and The Sleuth Kit. Essential for legal, HR, and security incident response.

This guide details the process of file carving using the Foremost tool in digital forensics. It demonstrates how to recover deleted or fragmented evidence (such as documents, images, and archives) from raw disk images or unallocated space by analyzing file headers and footers, independent of the file system's index. It also covers advanced techniques using custom signatures and high-performance alternatives like Scalpel.