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This skill detects advanced cyber-physical attacks mimicking the Stuxnet pattern. It monitors for unauthorized modifications to PLC logic and detects discrepancies between reported sensor readings and actual physical process behavior. Ideal for high-security OT/ICS environments when hunting for APT lateral movement or validating process integrity against sophisticated threats.

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.

A guide and implementation pattern for deploying Nozomi Networks Guardian sensors. This solution enables passive, non-disruptive monitoring of Operational Technology (OT) and Industrial Control Systems (ICS). It provides critical asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment, making it essential for building robust OT Security Operations Centers (SOCs) and ensuring compliance without risking live operations.

This skill maps observed adversary behaviors, security alerts, and detection rules to the MITRE ATT&CK framework. It is essential for quantifying detection coverage, building ATT&CK heatmaps, tagging SIEM alerts, and prioritizing security controls based on known threat actor playbooks. Use it for comprehensive gap analysis and risk reporting.

CAPE is an open-source sandbox derived from Cuckoo, designed for automated dynamic malware analysis. It features advanced behavioral instrumentation, capturing system changes, network traffic (PCAP), and specialized parsers to extract malware configurations (e.g., Emotet, Cobalt Strike). Use this skill for incident response, security assessments, and validating security controls against complex payloads and evasion techniques.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

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 comprehensive guide outlines a structured workflow for investigating insider threats—incidents where authorized employees or contractors misuse their access to steal data or sabotage systems. It integrates DLP alerts, User Behavior Analytics (UBA), and digital forensics, emphasizing mandatory collaboration between Legal, HR, and Security teams to build an admissible, evidence-based case.

This skill leverages the VirusTotal API v3 to enrich file hashes (MD5, SHA-256). It retrieves comprehensive security data, including multi-engine detection rates, sandbox behavioral reports, YARA rule matches, and related Indicators of Compromise (IOCs). It is essential for SOC triage, incident response, and threat intelligence 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 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.