Skill UI

This skill detects covert data exfiltration occurring over DNS tunnels. It analyzes DNS query names by computing Shannon entropy, examining query length distributions, and identifying high subdomain cardinality. It is essential for security operations, incident response, and proactive threat hunting when suspicious or encoded DNS activity is suspected.

An open-source tool based on the CIS Docker Benchmark. It systematically audits critical security aspects of Docker deployments, including host configuration, daemon settings, and container runtime. It generates a detailed compliance report (pass/fail/warn) to ensure best practices and security compliance in production environments.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

Perform interactive malware analysis in the ANY.RUN cloud sandbox to trigger real-time behavior, inspect process trees, monitor network traffic, and capture system changes without local sandbox setup.

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.

A comprehensive guide simulating real-world attacks against internet-facing infrastructure (firewalls, web servers, DNS, etc.). It covers the entire penetration testing lifecycle, including passive and active reconnaissance, vulnerability scanning (using tools like Nmap, Nessus, and Nuclei), manual validation, and simulated exploitation, adhering to standards like PTES and OSSTMM.

This guide outlines systematic methodologies for reducing false positives in Security Information and Event Management (SIEM) systems. It covers advanced techniques including threshold tuning, multi-signal correlation enhancement, behavioral baseline integration, and threat intelligence filtering. Used by SOC analysts and detection engineers to combat alert fatigue and improve true positive detection rates.

This toolset guides users through advanced digital forensic techniques using tools like Foremost and Scalpel. It demonstrates how to perform file carving—recovering specific file types (images, documents, etc.) from raw disk images or unallocated space—by analyzing file headers and footers (magic bytes). This is critical for evidence extraction when traditional file system metadata is unavailable or corrupted.

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 tool performs comprehensive security testing on GraphQL APIs by generating deeply nested, recursive, or highly repetitive queries. It specifically aims to identify Denial-of-Service (DoS) vulnerabilities and resource exhaustion issues by overwhelming the server's CPU, memory, or database connections. Essential for security auditors and penetration testers.

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.

A comprehensive guide for performing authorized security assessments on GraphQL APIs. This skill covers key areas such as endpoint discovery, schema introspection, testing for authorization flaws (BOLA/BFLA), injection vulnerabilities (SQL/NoSQL), and denial-of-service risks. Essential for penetration testers and bug bounty researchers targeting modern web applications.