Skill UI

This skill automates the execution of suspicious malware samples within a secure, isolated Cuckoo Sandbox environment. It observes comprehensive runtime behaviors, including process creation chains, file system tampering, registry modifications, network communications, and API calls. It is essential for generating detailed behavioral reports, extracting Indicators of Compromise (IOCs), and classifying unknown malware samples.

This skill provides a comprehensive workflow for detecting and analyzing malware persistence mechanisms on Windows systems. It automates the use of Sysinternals Autoruns via scripting to scan hundreds of Auto-Start Extensibility Points (ASEPs), including registry keys, services, scheduled tasks, and drivers. The process flags suspicious entries like unsigned binaries, suspicious paths, or dangerous command-line arguments, making it an essential tool for security incident response and threat hunting.

This skill utilizes the Microsoft Graph API to parse Office 365 Unified Audit Logs for security incident investigation. It is designed to detect critical indicators of account compromise, including the creation of suspicious email forwarding rules, unauthorized mailbox delegation changes, suspicious OAuth application consent grants, and other signs related to Business Email Compromise (BEC).

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.

A comprehensive skill for cybersecurity threat hunting and incident response. This tool systematically scans Linux systems to detect various persistence vectors used by adversaries, including suspicious crontab entries, unauthorized systemd units, LD_PRELOAD hijacking, profile modifications (.bashrc), and SSH key backdoors. It correlates findings with auditd logs to build a detailed timeline of compromise.

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 specialized tool and workflow for investigating supply chain attacks. It helps security analysts analyze compromised software updates, trojanized binaries, and dependency artifacts by comparing legitimate versions against suspect files. Key functions include binary diffing, identifying injected code, and documenting code signing anomalies to determine the scope of a security breach.

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.

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 solution guides the implementation of a phishing reporting button within email clients, creating a critical feedback loop for security teams. By integrating with SOAR platforms, reported suspicious emails undergo automated triage, including IOC extraction, sandbox analysis, and threat intelligence checks. The workflow enables rapid classification, automated remediation (e.g., mass retraction, sender blocking), and provides detailed feedback to the user reporter, significantly enhancing overall security posture.

This tool provides structured guidelines and detection rules for identifying API enumeration attacks, including Broken Object Level Authorization (BOLA) and IDOR. It monitors API access logs for suspicious patterns, such as rapid sequential requests to resource identifiers, unusual status code mixes (200/403/401), and excessive attempted resource IDs, helping security teams validate API security coverage.

This skill monitors critical OT historian servers (such as OSIsoft PI and Ignition) located at the IT/OT boundary. It is designed to detect sophisticated cyber threats, including unauthorized access attempts, data manipulation, suspicious query patterns, and indicators of lateral movement between enterprise and control networks. Use it to validate data integrity and respond to potential ICS security incidents.