Skill UI

Guides writing high-quality YARA-X detection rules for malware hunting, covering naming conventions, string selection, performance tuning, migrations from legacy YARA, and reducing false positives when authoring, reviewing, or debugging signatures.

Yara Authoring helps security teams write precise YARA rules for threat detection and malware hunting by guiding string/tag management and metadata handling so signature creation keeps pace with investigations.

This skill provides a comprehensive guide to using the Malpedia API for advanced malware intelligence analysis. Users can track malware family relationships, analyze variant evolution, extract associated YARA rules for detection, and map connections to specific threat actors. It is essential for security researchers and SOC analysts building robust threat models.

This skill provides a comprehensive framework for ingesting, normalizing, and enriching threat intelligence (CTI) from multiple structured and unstructured sources. It guides users through scoring feeds, converting heterogeneous IOC formats (like OpenIOC, YARA) into the standardized STIX 2.1 format, and enriching indicators using external services (e.g., VirusTotal, PassiveTotal). Ideal for building robust, automated threat detection pipelines for SIEM and EDR systems.

This skill automates the process of parsing Cyber Threat Intelligence (CTI) reports to extract adversary behaviors. It maps these behaviors to MITRE ATT&CK techniques and structures them as STIX 2.1 Attack Pattern objects. The resulting library supports detection engineering by generating rule templates (Sigma, YARA) for proactive defense and threat-informed security control implementation.

This skill provides a comprehensive workflow to extract Indicators of Compromise (IOCs) from malware samples and analysis reports. It covers file hashes (SHA256, MD5), network artifacts (IPs, domains, URLs from strings and PCAPs), and host-based indicators (registry keys, file paths, mutexes) from sandbox reports. It is essential for threat intelligence sharing, building blocklists, and creating detection signatures (YARA, Snort).

This comprehensive skill guides the process of rapid malware triage and classification using YARA rules. It covers advanced techniques for writing detection rules based on unique strings, specific byte sequences, and structural PE characteristics. It is essential for security analysts building automated detection pipelines, scanning endpoints, or performing large-scale threat hunting across an enterprise environment.

A comprehensive guide and workflow demonstrating how to use YARA rules for proactive threat hunting. This method helps detect unknown malware, suspicious patterns, and Indicators of Compromise (IOCs) across filesystems, memory dumps, and network artifacts, making it essential for incident response and security analysis.

This skill teaches the comprehensive process of developing precise YARA rules for malware detection. It covers techniques such as identifying unique byte patterns, analyzing strings, and inspecting PE file headers to create robust signatures. Ideal for security analysts performing threat hunting, incident response, and security auditing.

This skill is designed for proactive firmware forensics and advanced threat hunting. It analyzes the EFI System Partition (ESP) to detect sophisticated, pre-OS persistence mechanisms, such as UEFI bootkits (e.g., BlackLotus, ESPecter). Detection methods include verifying file hashes against a trusted golden baseline, checking Secure Boot signatures, scanning with YARA, and flagging structural anomalies within the ESP.