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This tool parses NetFlow v9 and IPFIX records to conduct deep network security analysis. It is crucial for investigating security incidents by building traffic baselines and applying statistical methods. Key detection capabilities include identifying port scanning, data exfiltration attempts, command and control (C2) beaconing patterns, and general volumetric anomalies in network traffic.

This skill provides a structured methodology and tools for investigating sophisticated supply chain attacks. It focuses on detecting trojanized software updates, compromised build pipelines, and hidden dependencies by performing deep binary comparison, code signing verification, and anomaly detection. Use it during incident response to map out intrusion vectors and assess the full scope of a security breach.

This skill provides a systematic method to map observed Indicators of Compromise (IOCs) and threat actor TTPs to the global MITRE ATT&CK framework. It guides users in building technique coverage heatmaps using the ATT&CK Navigator, identifying critical detection gaps, and generating actionable threat intelligence reports across Enterprise, Mobile, and ICS domains. Ideal for SOC analysts, threat hunters, and security researchers seeking structured threat analysis.

This system maps advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework. Utilizing the attackcti library to query STIX/TAXII data, it generates specialized ATT&CK Navigator layer files. It is essential for security analysts to profile threat actors, visualize comprehensive coverage heatmaps, and precisely assess detection gaps against sophisticated adversaries.

A powerful security tool for querying Certificate Transparency (CT) logs via crt.sh and pycrtsh. It detects potential security threats such as phishing domains, unauthorized certificate issuance, and shadow IT infrastructure. The tool specifically monitors new certificates for typosquatting and brand impersonation using advanced distance metrics, enabling proactive security threat detection.

This tool provides a comprehensive framework for analyzing web server logs (Apache/Nginx) to detect various security threats. It uses advanced regex matching against OWASP attack signatures to identify SQL injection, Local File Inclusion, and Directory Traversal attempts, alongside behavioral analysis for brute-force attacks and web scanner fingerprints. The system also enriches data using GeoIP for source attribution, generating a prioritized report for SOC analysts.

A comprehensive toolkit using Splunk's SPL language to analyze Windows Security, System, and Sysmon event logs. It maps advanced detection queries to specific MITRE ATT&CK techniques, enabling SOC analysts to investigate authentication attacks (e.g., brute force, password spraying), detect privilege escalation, locate persistence mechanisms, and trace lateral movement for detailed forensic timeline analysis.

This skill parses various cyber threat intelligence (CTI) reports (Mandiant, CrowdStrike, etc.) using NLP and specialized libraries (stix2, mitreattack-python, spaCy). It systematically extracts adversary behaviors, maps them to MITRE ATT&CK IDs, and constructs a searchable STIX 2.1 Attack Pattern library. This is essential for threat-informed detection engineering, generating detection rules (Sigma, YARA), and validating security controls.

This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.

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 guide detailing how to integrate DevSecOps best practices into a GitLab CI/CD pipeline. It automates multiple security checks, including Static Analysis (SAST), Dynamic Analysis (DAST), container scanning, dependency scanning, and secret detection. This approach enforces 'shift-left' security, finding and fixing vulnerabilities early in the development lifecycle to ensure compliance and robust security.

A comprehensive, structured playbook for Security Operations Centers (SOCs) detailing the entire lifecycle of ransomware incidents. It guides analysts through detection (SIEM queries), triage decision trees, containment (EDR/Firewall), evidence collection, and recovery phases, adhering to NIST CSF and MITRE ATT&CK frameworks.