Skill UI

This guide provides a comprehensive methodology and technical approach for detecting malicious email forwarding rules. It is crucial for threat hunting, incident response, and proactive security assessments to identify persistent access mechanisms used by adversaries for intelligence collection and Business Email Compromise (BEC) attacks. It outlines necessary prerequisites, workflow steps, and key threat indicators (T1114).

A comprehensive skill for detecting early-stage ransomware indicators before data encryption occurs. It utilizes advanced network detection tools such as Zeek and Suricata, combined with SIEM correlation rules and threat intelligence feeds. This method monitors the entire pre-encryption kill chain, identifying precursor behaviors like initial access broker activity, Cobalt Strike C2 beaconing, credential harvesting (e.g., Mimikatz signatures), and data staging attempts, enabling timely incident response and containment.

This utility provides a comprehensive framework for proactive threat hunting, focusing on detecting advanced and suspicious PowerShell execution patterns. It covers common attacker techniques such as encoded command usage, download cradles (IEX), AMSI bypass attempts, and constrained language mode evasion. It is designed for security analysts during incident response and threat intelligence validation, requiring EDR and SIEM telemetry.

This skill guides the comprehensive evaluation and selection of Threat Intelligence Platforms (TIPs). It assesses vendor capabilities, including STIX/TAXII support, workflow automation, SIEM/SOAR integration, and total cost of ownership. It is essential for procurement decisions, migrating between TIP solutions, or assessing whether the current CTI program meets required maturity levels.

This script is designed for malware analysis, specifically targeting .NET-based Remote Access Trojans (RATs) like Agent Tesla. It automatically extracts embedded and obfuscated configuration data, including SMTP credentials, FTP endpoints, Telegram tokens, and C2 webhooks. It utilizes advanced techniques such as regex pattern matching, Base64 decoding, and simulating XOR/SHA256 decryption to reveal critical threat intelligence for security research.

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 skill guides the creation of high-quality, finished cyber threat intelligence reports. It tails content for specific audiences—from C-suite executives (strategic risk) to SOC analysts (tactical IOCs). Use it when synthesizing raw data into actionable intelligence products, generating threat briefings, or conducting post-incident assessments, ensuring adherence to industry standards like TLP and NIST.

This skill implements the Diamond Model framework, providing a structured approach to analyzing complex cyber intrusions. It allows users to programmatically classify and correlate events based on four core elements: Adversary, Capability, Infrastructure, and Victim. Key functionalities include building activity threads, identifying pivot points, and generating comprehensive, pivot-ready threat intelligence reports.

This tool guides the deployment and configuration of the Dragos Platform for critical Operational Technology (OT) and Industrial Control System (ICS) network monitoring. It leverages over 600 industrial protocol parsers and advanced threat intelligence to detect sophisticated attacks (e.g., VOLTZITE, GRAPHITE). Use it for building an OT Security Operations Center (SOC), asset discovery, and vulnerability management in industrial settings, integrating alerts with enterprise SIEMs.

A comprehensive guide for deploying and managing network deception systems using industry-leading honeypot platforms like OpenCanary, T-Pot, and Cowrie. This skill helps security professionals detect unauthorized access attempts, trace lateral movement, and gather critical threat intelligence by simulating vulnerable services within a controlled environment. Ideal for enhancing network security architecture and creating early warning indicators for intrusions.

A comprehensive guide to deploying and configuring Proofpoint Email Protection as a Secure Email Gateway (SEG). This solution establishes a critical security checkpoint that uses advanced ML, sandboxing, and threat intelligence to detect and block sophisticated threats, including phishing, malware, BEC, and spam, before they reach the user inbox. Ideal for organizations strengthening their email security architecture and meeting compliance standards.

This guide demonstrates how to programmatically create, validate, and exchange complex structured threat intelligence objects (Indicators, Malware, Campaigns) using the STIX 2.1 standard and the stix2 Python library. It covers the full lifecycle of intelligence sharing, including defining patterns and publishing data via TAXII 2.1, making it essential for building sophisticated Threat Intelligence Platforms (TIPs) and integrating with SIEM/SOAR systems.