Skill UI

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

This tool deploys advanced machine learning techniques to detect anomalies within Operational Technology (OT) and Industrial Control Systems (ICS) environments. It establishes behavioral baselines by analyzing network traffic (Modbus, DNP3, OPC UA) and communication timing. Use cases include continuous monitoring, detecting zero-day deviations, and enhancing security monitoring platforms beyond standard signature-based intrusion detection.

Deploy Zeek for passive network analysis to generate structured logs (DNS, HTTP, etc.). This tool detects behavioral anomalies like DNS tunneling or beaconing, complementing traditional signature-based IDS tools. It is ideal for threat hunting and incident response, feeding rich protocol metadata into SIEM platforms.

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.

A comprehensive guide on configuring advanced email security gateways (SEGs) to detect and block sophisticated, targeted spearphishing attacks. This skill covers essential detection layers, including impersonation protection, real-time URL detonation, attachment sandboxing, and creating custom behavioral rules. It is crucial for SOC analysts and security engineers building robust email threat defense systems.

A proactive, hypothesis-driven skill designed to hunt for Advanced Persistent Threats (APT) within complex enterprise environments. It analyzes endpoint telemetry, network logs, and memory artifacts using frameworks like MITRE ATT&CK. Use this skill when investigating anomalous behavior flagged by UEBA, conducting scheduled threat sprints, or validating exposure to known TTPs using tools like Velociraptor and osquery.

This skill guides the implementation of continuous, risk-adaptive identity verification crucial for Zero Trust Architecture (ZTA). It covers deploying phishing-resistant MFA (FIDO2/WebAuthn), advanced risk-based conditional access policies, and identity governance strategies. Users learn how to move beyond traditional credentials by leveraging multiple signals—such as device posture, behavioral biometrics, and location context—to dynamically assess and enforce trust levels before granting access.

This tool facilitates interactive dynamic malware analysis using the ANY.RUN cloud sandbox. It allows analysts to detonate suspicious samples, observe real-time execution behavior, and manually interact with prompts (like dialogs or CAPTCHAs). Key outputs include detailed process trees, network traffic analysis (C2 communication), and identification of all Indicators of Compromise (IOCs), mapping observed behaviors to MITRE ATT&CK. Essential for rapid, sophisticated behavioral analysis without maintaining local sandbox infrastructure.

This framework executes sophisticated threat emulation tests using Atomic Red Team, mapping directly to MITRE ATT&CK techniques. It allows security teams to actively simulate adversary behavior, validating the detection coverage of SIEM rules and EDR controls. Use this tool for comprehensive purple team operations, penetration testing, and security auditing.

This skill details the deployment of various canary tokens (DNS, HTTP, AWS API Keys) across enterprise network infrastructure. It establishes digital tripwires that detect behavioral anomalies, such as unauthorized access, credential leakage, or lateral movement. Tokens are configured with webhook alerts (Slack, SIEM) for real-time, low-false-positive notification, significantly enhancing traditional IDS/IPS capabilities.

A comprehensive skill for detecting and analyzing malicious behavior in mobile applications (Android/iOS). It employs multi-layered security analysis, including static indicator checking (permissions, manifest), dynamic instrumentation (Frida), network traffic monitoring, and automated scanning (MobSF). Use this skill when investigating suspicious apps for data exfiltration, C2 communication, or unauthorized access.

This skill assists in generating robust Behavior Driven Development (BDD) tests. It supports writing feature files using Gherkin syntax (Given/When/Then) and automatically generates corresponding step definitions in multiple languages, including Java, JavaScript, and Ruby. Ideal for structuring and automating end-to-end functional tests.