Skill UI

This skill provides a comprehensive workflow for identifying, unpacking, and analyzing packed malware samples, especially those utilizing the UPX format. It details methods for standard UPX decompression and advanced techniques for repairing modified PE headers or magic bytes that prevent automated extraction. The process supports preparing samples for deep static analysis and dynamic debugging.

This comprehensive toolkit provides deep static analysis capabilities for suspicious PDF documents. Using tools like PDFiD, pdf-parser, and peepdf, it identifies embedded malicious structures—including JavaScript code, shellcode, auto-actions, and exploit kits—without opening or rendering the file. It is essential for security analysts conducting threat triage, forensic investigation, and assessing potential attack vectors from suspicious attachments.

This comprehensive skill analyzes Zeek conn.log and NetFlow data to proactively detect advanced indicators of ransomware activity. It identifies critical threats such as Command and Control (C2) beaconing patterns, connections to TOR exit nodes, large-scale data exfiltration flows, and suspicious DNS anomalies. It is essential for threat hunting and complex security incident response.

A comprehensive guide utilizing Splunk Enterprise Security and SPL to conduct deep forensic analysis of security incidents. This skill covers correlating disparate sources like Windows event logs, firewall records, proxy data, and Sysmon logs to detect TTPs, reconstruct timelines, and identify anomalies, making it essential for incident response and threat hunting.

A comprehensive guide and set of scripts to systematically audit AWS S3 buckets for security misconfigurations. This tool identifies publicly exposed data, overly permissive ACLs, inadequate bucket policies, and missing encryption settings, ensuring adherence to least-privilege principles and compliance frameworks like SOC 2 or HIPAA.

This guide provides a comprehensive methodology for conducting cloud security audits across major platforms (AWS, Azure, GCP) using industry-standard CIS Benchmarks. It covers selecting appropriate benchmark versions, running automated assessments using tools like Prowler and ScoutSuite, interpreting complex compliance results, and prioritizing systematic remediation steps to achieve and maintain continuous compliance (e.g., SOC 2, ISO 27001).

This utility provides comprehensive security auditing for Kubernetes Role-Based Access Control (RBAC) configurations. It identifies overly permissive roles, dangerous wildcard permissions (*), critical ClusterRoleBindings, and potential privilege escalation paths. By integrating tools like rbac-tool, KubiScan, and Kubeaudit, it helps users enforce the principle of least privilege, crucial for compliance and security assessments on EKS, GKE, and AKS clusters.

This tool guides the creation of comprehensive, standardized incident response playbooks aligned with industry standards like NIST SP 800-61r3 and SANS PICERL. It structures playbooks covering detection, containment, eradication, recovery, and post-incident activities, including decision trees, RACI matrices, and seamless integration pathways for SOAR platforms. Ideal for maturing an organization's security posture and ensuring compliance.

A comprehensive skill for optimizing Role-Based Access Control (RBAC) structures. It applies advanced data mining techniques, including clustering (k-means, agglomerative) and Formal Concept Analysis (FCA), to analyze existing user-permission assignments. The goal is to discover the minimal set of necessary roles, thereby preventing 'role explosion,' enforcing the least privilege principle, and ensuring robust identity governance for secure systems.

This tool assists in defining a structured Security Operations Center (SOC) escalation matrix. It maps incident response procedures based on severity (P1-P4), asset criticality, and business impact. Users can model tiered response paths, set Service Level Agreements (SLAs), and implement context-driven automatic escalation triggers to ensure rapid and consistent handling of cybersecurity incidents.

A comprehensive system for systematically collecting, categorizing, and enriching Indicators of Compromise (IOCs) from various sources (network logs, memory dumps, email, etc.). It supports the entire incident response lifecycle, ensuring structured data representation using STIX/TAXII formats for robust threat intelligence sharing and defensive system automation.

This skill provides comprehensive methods for collecting and synthesizing Open-Source Intelligence (OSINT) regarding threat actors, malicious infrastructure, and attack campaigns. It utilizes public data sources, passive reconnaissance tools (like WHOIS, Certificate Transparency), and specialized platforms (Maltego, Shodan, SpiderFoot) to map adversary context and perform pre-engagement intelligence gathering for authorized red team assessments. Emphasis is placed on passive collection techniques to ensure legality and operational security.