Skill UI

This skill provides a method to parse Windows Prefetch files (.pf) using Python, allowing security analysts to reconstruct detailed application execution histories. It is crucial for incident response, enabling the detection of renamed binaries, identifying suspicious execution patterns, and building accurate chronological timelines of system activity for deep forensic investigation.

This skill details the implementation of a cloud-native SIEM and SOAR platform using Microsoft Sentinel. It covers ingesting multi-cloud logs (AWS, Azure, GCP), writing advanced KQL detection queries for threat hunting, and automating incident response workflows using Logic Apps. Ideal for centralized security operations in complex, multi-cloud environments.

This skill provides a comprehensive workflow for building vendor-agnostic detection rules using the Sigma format. It empowers security operations center (SOC) engineers to translate raw threat intelligence and MITRE ATT&CK techniques into standardized, portable detection logic. The process guides users through rule validation and conversion into specific queries for major SIEM platforms, including Splunk, Elastic, and Microsoft Sentinel, ensuring robust detection coverage.

A comprehensive toolkit designed for cybersecurity professionals to deobfuscate malicious JavaScript code. It reverses complex encoding layers (Base64, Hex, Unicode), eval chains, and control flow obfuscation techniques found in phishing pages, web skimmers, and dropper scripts, revealing the original malicious logic for thorough forensic analysis and threat intelligence gathering.

This skill provides systematic methods and advanced techniques to deobfuscate multi-layered PowerShell malware. It utilizes Abstract Syntax Tree (AST) analysis, dynamic execution tracing, and specialized tools to reveal hidden payloads, C2 infrastructure, and the original malicious logic. It is essential for security analysts, red teamers, and incident response teams performing deep malware analysis.

This skill addresses advanced threat detection for critical infrastructure (OT/ICS). It monitors sophisticated, multi-stage cyber-physical attacks, focusing specifically on PLC logic integrity monitoring, detecting unauthorized modifications, and analyzing process anomalies. It covers the entire attack chain, from initial USB-borne access (IT) to process manipulation (OT).

This skill focuses on identifying and exploiting type juggling vulnerabilities in PHP web applications. It demonstrates techniques such as loose comparison bypass (==), type coercion using JSON/serialized input, and leveraging magic hash collisions to circumvent authentication mechanisms, password verification, and general application logic checks in a controlled security testing environment.

This skill provides advanced threat hunting capabilities to detect NTLM relay attacks within Active Directory environments. It analyzes critical Windows Security Event 4624 logs, specifically focusing on logon type 3 using NTLMSSP authentication. The detection logic identifies suspicious patterns, including IP-to-hostname mismatches, rapid multi-host authentications, and lack of SMB signing enforcement, helping SOC analysts pinpoint unauthorized credential access attempts.

This comprehensive skill guides the deployment and configuration of Wazuh SIEM/XDR for robust endpoint monitoring. Users will learn to manage agents via the API, create custom decoders and rules (XML), query security alerts, and test rule logic, enabling organizations to establish strong security controls and automate incident response.

Learn how to integrate AFL++ (American Fuzzy Lop Plus Plus) into Continuous Integration/Continuous Deployment (CI/CD) pipelines. This guide details the process of using coverage-guided fuzzing to discover critical vulnerabilities, such as memory corruption, input handling flaws, and logic bugs, in compiled C/C++ applications that process untrusted input.

This guide details the technique and workflow for executing HTTP Parameter Pollution (HPP) attacks. HPP exploits how web applications and back-end systems handle duplicate HTTP parameters (e.g., first-wins, last-wins, concatenation). It is a critical method for bypassing Web Application Firewalls (WAFs), testing input validation logic, and identifying vulnerabilities in API, OAuth, and payment processing flows.

A comprehensive tool designed for assessing the security posture of Programmable Logic Controller (PLC) firmware. It specializes in detecting critical vulnerabilities such as hardcoded credentials, undocumented debug interfaces, backdoor functions, and memory corruption flaws. The tool supports analyzing major industrial platforms (Siemens, Allen-Bradley) by performing static and dynamic analysis, and verifying firmware integrity against known-good baselines, adhering to standards like IEC 62443. Use only in authorized lab environments.