Skill UI

This skill analyzes Active Directory (AD) Access Control Lists (ACLs) to detect dangerous misconfigurations. It uses the ldap3 Python library to query domain controllers, parse security descriptors (SDDL), and identify instances where non-privileged users or groups are granted dangerous permissions like GenericAll, WriteDACL, or WriteOwner on sensitive objects. Essential for security incident response and privilege escalation path discovery.

Parses Cobalt Strike malleable C2 profiles via pyMalleableC2 to pull beacon configs, HTTP communication patterns, sleep/jitter settings, and combines JARM scans for C2 detection when hunting suspected infrastructure or building IDS signatures.

This guide details the comprehensive process of using the Linux Audit framework (auditd) to detect advanced security threats. It covers deploying specific rules to monitor critical system files, detecting unauthorized privilege escalation, process injection, and suspicious system calls. Users can then leverage ausearch and aureport to efficiently query, reconstruct timelines, and summarize findings for forensic analysis and compliance auditing.

A comprehensive cybersecurity tool designed to analyze malicious VBA and XLM macros embedded within Microsoft Office documents (Word, Excel, PowerPoint). It facilitates deep forensic investigation by extracting, deobfuscating, and tracing the full attack chain, including identifying auto-execution triggers, payload download URLs, and file writing techniques. Useful for malware analysts investigating phishing campaigns and maldocs.

This skill guides users through advanced network security analysis using Scapy. It covers crafting, sending, sniffing, and dissecting various network packets (TCP/UDP/ICMP), analyzing pcap files, and detecting anomalies like SYN floods or DNS exfiltration. Ideal for SOC analysts, forensic investigators, and security researchers.

A dedicated tool for forensic analysis of Windows PowerShell Script Block Logs (Event ID 4104) captured in EVTX files. It reconstructs multi-block scripts, applying advanced detection heuristics such as entropy analysis and pattern matching to identify obfuscated commands, encoded payloads (Base64), download cradles, and AMSI bypass attempts, crucial for threat hunting and incident response.

Systematically review Kubernetes RBAC roles, bindings, and service accounts to surface overly permissive access, privilege escalation paths, and least-privilege violations using tools like rbac-tool and KubiScan.

This guide details comprehensive methods for auditing Terraform infrastructure-as-code (IaC) against security misconfigurations. By leveraging industry-standard tools like Checkov, tfsec, Terrascan, and Open Policy Agent (OPA), users can detect critical vulnerabilities—such as overly permissive IAM policies, public resource exposure, and missing encryption—before cloud deployment. It is essential for integrating robust security gates into CI/CD pipelines and enforcing compliance standards.

Builds a comprehensive, automated pipeline for malware submission and analysis. It collects suspicious files from multiple sources (EDR, email gateways), automatically submits them to sandbox environments and multi-engine scanners, and generates detailed verdicts and Indicators of Compromise (IOCs). Essential for SOC teams needing to scale high-volume malware triage and incident response.

This comprehensive guide details how to design and implement an end-to-end DevSecOps pipeline leveraging GitLab CI/CD. It integrates crucial automated security checks—such as SAST, DAST, container scanning, dependency scanning, and secret detection—directly into the development workflow. By adopting this approach, teams can effectively 'shift left' security, identifying and mitigating vulnerabilities early in the development lifecycle to ensure compliance and robust application security.

This workflow guides SOC teams in establishing a comprehensive, structured process for vulnerability management. It utilizes major scanning tools (Nessus, Qualys, OpenVAS) to discover, prioritize, and track remediation of security weaknesses across the infrastructure. It integrates threat intelligence (CISA KEV) and asset criticality into risk scoring, ensuring resources are focused on the most critical threats.

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.