Skill UI

A comprehensive guide and methodology for detecting process hollowing (T1055.012). It involves advanced memory forensics, analyzing memory-mapped sections, and correlating parent-child process anomalies using EDR and Sysmon data to identify fileless and in-memory malware threats.

This tool analyzes Web Application Firewall (WAF) logs (ModSecurity, AWS WAF, Cloudflare) to detect sophisticated SQL injection attack campaigns. It parses diverse log formats, identifies common SQLi payloads (UNION SELECT, OR 1=1), correlates multi-stage attacks, tracks source IPs, and generates detailed incident reports classified by OWASP standards for SOC analysts and security researchers.

This tool scans GitHub Actions workflows and CI/CD configurations to identify critical supply chain attack vectors. It specifically checks for unpinned actions, risks from script injection using expressions, dependency confusion, and secrets exposure, helping organizations harden their build systems against sophisticated threats.

A comprehensive guide and workflow for the post-containment phase of incident response. This process details systematic methods for mapping all persistence mechanisms, identifying malware artifacts, removing threats, resetting compromised credentials, and patching initial access vulnerabilities to ensure complete system eradication.

This script is designed for malware analysis, specifically targeting .NET-based Remote Access Trojans (RATs) like Agent Tesla. It automatically extracts embedded and obfuscated configuration data, including SMTP credentials, FTP endpoints, Telegram tokens, and C2 webhooks. It utilizes advanced techniques such as regex pattern matching, Base64 decoding, and simulating XOR/SHA256 decryption to reveal critical threat intelligence for security research.

This skill detects domain fronting, an advanced technique used by attackers to mask Command and Control (C2) traffic. It analyzes proxy/web gateway logs for mismatches between the TLS SNI field and the HTTP Host header, combined with deep TLS certificate inspection using pyOpenSSL. This is crucial for security teams investigating sophisticated network threats and validating detection coverage.

A detailed methodology for proactive threat hunting focused on identifying deep-seated persistence mechanisms within Windows operating systems. This guide covers advanced techniques such as monitoring Run keys, analyzing Winlogon modifications, detecting IFEO injection, and identifying COM object hijacking. It is crucial for incident response, purple teaming, and ensuring system integrity against advanced persistent threats (APTs).

This guide details how to implement multi-layered API threat protection using Google Apigee. It covers critical security policies including JSON/XML content validation, OAuth 2.0 enforcement, SpikeArrest rate limiting, and advanced regex patterns to defend against OWASP Top 10 threats. Ideal for establishing robust API security controls and meeting compliance requirements.

This skill covers the comprehensive management of RSA key pairs, including generation, secure storage, rotation, and validation. It adheres to NIST guidelines, covering key serialization formats (PEM, DER, PKCS#8), passphrase protection, and ensuring robust key strength for digital signatures and encryption.

This guide details how to implement advanced SIEM correlation rules to detect sophisticated Advanced Persistent Threats (APTs). By chaining multiple event types—including Windows authentication events, process execution telemetry, and network connection logs—across hosts, users can surface complex attack sequences that are invisible to single-event detections. It utilizes Splunk SPL and Sigma rule formats for robust security posture enhancement.

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 skill provides a comprehensive guide to systematic dark web monitoring, involving scanning underground forums, paste sites, and marketplaces for organizational threats. It covers setting up Tor-based crawling, automating credential leak detection (e.g., HIBP integration), and analyzing threat intelligence (CTI) using Python. Essential for proactive incident response and security auditing.