Skill UI

A comprehensive tool for performing static analysis on Android APK malware samples. It utilizes androguard, apktool, and jadx to detect dangerous permission combinations, suspicious API calls (like reflection or crypto), dynamic code loading patterns, and extract Indicators of Compromise (IOCs) for robust security incident response and threat hunting.

A comprehensive toolset for analyzing Cobalt Strike Malleable C2 profiles. It parses advanced C2 communication configurations to extract crucial Indicators of Compromise (IOCs) such as HTTP headers, DNS settings, URI patterns, and user agents. The analysis is vital for threat hunting, developing network detection signatures (Suricata/Snort), and understanding evasion techniques used by advanced persistent threats (APTs).

This skill guides the creation of automated workflows for enriching raw Indicators of Compromise (IOCs) with multi-source threat intelligence context. It is designed for integration into SOAR platforms (e.g., Cortex XSOAR, Splunk SOAR) or Python pipelines. By automatically querying multiple sources like VirusTotal, AbuseIPDB, and MISP, it significantly reduces analyst mean time to triage (MTTT) and standardizes the resulting threat context and confidence scoring.

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 guide details the deployment and usage of MISP (Malware Information Sharing Platform) to centralize, correlate, and distribute threat intelligence. It covers architectural concepts, integrating diverse OSINT and commercial feeds (like abuse.ch, AlienVault OTX), and automating the flow of Indicators of Compromise (IOCs) into SIEM and SOAR systems via Docker and Python APIs.

This guide details how to build automated threat intelligence enrichment pipelines within Splunk Enterprise Security. By leveraging the Threat Intelligence Framework, users can ingest, normalize, and correlate Indicators of Compromise (IOCs) from diverse external sources (such as TAXII, CSV, and custom APIs). The process uses KV Store collections and lookup searches to enrich raw security events with critical threat context, significantly reducing triage time for SOC teams.

MISP (Malware Information Sharing Platform) is an open-source platform designed for gathering, storing, and correlating Indicators of Compromise (IOCs). This skill guides users through deploying MISP using Docker, configuring various threat feeds (MISP, TAXII, CSV), and utilizing the PyMISP Python API. It enables the building of automated pipelines to aggregate diverse threat data, such as IP addresses, domains, and hashes, for enhanced security operations.

This skill automates the entire phishing incident response lifecycle using the Splunk SOAR REST API. It processes reported emails, extracts indicators of compromise (IOCs) like URLs and IPs, creates incident containers, attaches artifacts, and triggers automated playbooks for deep analysis and reporting. It is essential for security operations teams needing robust, programmatic incident handling and compliance alignment.

This skill automates the enrichment of Indicators of Compromise (IOCs) by orchestrating lookups across multiple industry-leading threat intelligence sources (e.g., VirusTotal, AbuseIPDB, Shodan). It provides contextual scoring and disposition recommendations for IPs, domains, URLs, and hashes. Ideal for SOC analysts during alert triage or incident investigation to quickly assess risk and scope.

This skill leverages the VirusTotal API to perform comprehensive threat intelligence enrichment on file hashes (MD5, SHA-1, SHA-256). It retrieves detection rates from 70+ AV engines, behavioral sandbox reports, associated indicators of compromise (IOCs), and contextual threat data. Use this tool for rapid SOC triage, accurate incident response validation, and enhancing threat hunting workflows.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This skill demonstrates how to use PyMISP, the official Python library, to programmatically interact with the MISP threat intelligence platform. Users can create, enrich, and manage structured threat events, including adding Indicators of Compromise (IOCs), applying TLP/MITRE ATT&CK tags, and exporting data in STIX 2.1 format for cross-platform sharing, making it ideal for security assessments and incident response.