Skill UI

Leverage Certificate Transparency (CT) logs via crt.sh and Certstream to proactively monitor for suspicious SSL/TLS certificates. This skill helps detect lookalike domains, unauthorized certificate issuance, and potential phishing infrastructure targeting your organization before attacks launch. Includes querying logic and threat intelligence integration.

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 workflow for performing static and dynamic analysis of malicious PDF documents. It utilizes tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Ideal for triaging phishing attachments, analyzing exploit documents, and building threat signatures in a controlled forensic environment.

This tool analyzes network packet captures (PCAP) to detect covert communication channels used by malware for Command and Control (C2) and data exfiltration. It specifically focuses on identifying indicators of DNS tunneling, ICMP tunneling, and protocol abuse patterns, providing scoring and detailed reasons for suspicious activity. Useful for threat hunting and security incident investigation.

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 skill guides the process of analyzing Windows Prefetch (.pf) files to reconstruct a detailed program execution history. By parsing these system artifacts, users can determine which applications were run, how many times, and when. It is crucial for building forensic timelines, confirming suspicious binary execution during malware investigations, and localizing evidence in a Windows system.

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.

A comprehensive, multi-stage framework for responding to confirmed or suspected malware infections across an enterprise. This guide covers the entire incident lifecycle: detection, scoping, containment, deep analysis (mapping to MITRE ATT&CK), thorough eradication, and system recovery, ensuring all steps are documented for resilience and compliance.

This skill analyzes AWS CloudTrail logs to detect suspicious API call patterns, such as new event sources, geographic anomalies, or high-frequency usage. It establishes a statistical baseline of normal activity and flags deviations indicative of compromised credentials, privilege escalation, or insider threats, providing a detailed JSON report for security investigation and threat hunting.

A comprehensive skill designed for advanced security analysis, detecting malicious behaviors across mobile applications (Android/iOS). It performs multi-layered analysis, including static indicator checks (permissions, manifest), dynamic instrumentation via Frida, network traffic monitoring (C2 communication, exfiltration), and automated scanning (MobSF). Use this when investigating suspicious apps, detecting trojans, or performing malware triage.