Perform systematic alert triage in Elastic Security SIEM to rapidly classify, prioritize, and investigate security alerts for SOC operations.

Executes comprehensive red team exercises that simulate real-world adversary operations against an organization's people, processes, and technology. The red team operates with stealth as a primary objective, employing the full attack lifecycle from initial reconnaissance through objective completion while testing the organization's detection and response capabilities. This differs from penetration testing by focusing on adversary emulation rather than vulnerability identification. Activates for requests involving red team exercise, adversary simulation, adversary emulation, or full-scope offensive security assessment.

Monitors Modbus TCP traffic on SCADA and ICS networks to detect anomalous function code usage, unauthorized register writes, and suspicious communication patterns. The analyst uses deep packet inspection with pymodbus, Scapy, and Zeek to baseline normal PLC/RTU communication behavior, then applies statistical and rule-based anomaly detection to identify reconnaissance, parameter manipulation, and denial-of-service attacks targeting Modbus devices on port 502. Activates for requests involving Modbus traffic analysis, SCADA network monitoring, ICS anomaly detection, PLC security monitoring, or OT network threat detection.

Detects and analyzes Bluetooth Low Energy (BLE) security attacks including sniffing, replay attacks, GATT enumeration abuse, and Man-in-the-Middle interception. Uses Ubertooth One and nRF52840 sniffers for packet capture, the bleak Python library for GATT service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.

Exploits JWT algorithm confusion vulnerabilities where the server's token verification library accepts the algorithm specified in the JWT header rather than enforcing a fixed algorithm. The tester manipulates the alg header to switch from RS256 to HS256 (using the RSA public key as the HMAC secret), sets alg to none to bypass signature verification, or exploits kid/jku/x5u header injection to supply attacker-controlled keys. Activates for requests involving JWT algorithm confusion, alg none attack, key confusion attack, or JWT signature bypass.

Implements external attack surface management (EASM) using Shodan, Censys, and ProjectDiscovery tools (subfinder, httpx, nuclei) for asset discovery, subdomain enumeration, service fingerprinting, and exposure scoring. Includes a weighted risk scoring algorithm based on OWASP attack surface analysis methodology and the Relative Attack Surface Quotient (RSQ). Use when building continuous ASM programs or performing external reconnaissance for security assessments.

Implements FIDO2/WebAuthn hardware security key authentication including registration ceremonies, authentication flows, YubiKey enrollment, and passkey migration strategies. Builds a complete relying party server using the python-fido2 library that supports cross-platform authenticators, resident key (discoverable credential) workflows, and user verification policies. Activates for requests involving FIDO2 implementation, WebAuthn registration, hardware security key enrollment, YubiKey integration, or passkey migration from password-based authentication.

Performs comprehensive iOS application security assessments using Frida for dynamic instrumentation, Objection for runtime exploration, SSL pinning bypass for traffic interception, keychain extraction for credential analysis, and IPA static analysis for binary-level review. Use when conducting authorized iOS penetration tests, evaluating mobile app security posture against OWASP MASTG, or assessing iOS app data protection and transport security controls. Activates for requests involving iOS app pentesting, Frida-based iOS instrumentation, mobile app SSL pinning bypass, or IPA reverse engineering.

Tests web applications for Cross-Site Scripting (XSS) vulnerabilities by injecting JavaScript payloads into reflected, stored, and DOM-based contexts to demonstrate client-side code execution, session hijacking, and user impersonation. The tester identifies all injection points and output contexts, crafts context-appropriate payloads, and bypasses sanitization and CSP protections. Activates for requests involving XSS testing, cross-site scripting assessment, client-side injection testing, or JavaScript injection vulnerability testing.

Parses and analyzes the Windows Amcache.hve registry hive to extract evidence of program execution, application installation, and driver loading for digital forensics investigations. Uses Eric Zimmerman's AmcacheParser and Timeline Explorer for artifact extraction, SHA-1 hash correlation with threat intel, and timeline reconstruction. Activates for requests involving Amcache forensics, program execution evidence, Windows artifact analysis, or application compatibility cache investigation.

Conducts comprehensive network penetration tests against authorized target environments by performing host discovery, port scanning, service enumeration, vulnerability identification, and controlled exploitation to assess the security posture of network infrastructure. The tester follows PTES methodology from reconnaissance through post-exploitation and reporting. Activates for requests involving network pentest, infrastructure security assessment, internal network testing, or external perimeter testing.

Conducts authorized wireless network penetration tests to assess the security of WiFi infrastructure by testing for weak encryption protocols, captive portal bypasses, evil twin attacks, WPA2/WPA3 handshake capture, rogue access point detection, and client-side attacks. The tester evaluates wireless authentication, network segmentation, and the effectiveness of wireless intrusion detection systems. Activates for requests involving wireless pentest, WiFi security assessment, WPA2/WPA3 testing, or rogue access point detection.

This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command injection into PLCs, HMI compromise, historian data manipulation, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.

Detect NTLM relay attacks through Windows Security Event correlation by analyzing Event 4624 LogonType 3 for IP-to-hostname mismatches, identifying Responder/LLMNR poisoning artifacts, auditing SMB and LDAP signing enforcement across the domain, and detecting NTLM downgrade attacks from NTLMv2 to NTLMv1 using event log analysis.

Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments. Activates for requests involving CTI report writing, threat briefings, intelligence products, finished intelligence, or executive security reporting.

This skill covers implementing North American Electric Reliability Corporation Critical Infrastructure Protection (NERC CIP) compliance controls for Bulk Electric System (BES) cyber systems. It addresses asset categorization (CIP-002), electronic security perimeters (CIP-005), system security management (CIP-007), configuration management (CIP-010), supply chain risk management (CIP-013), and the 2025 updates including mandatory MFA for remote access and expanded low-impact asset requirements.

Implements privileged session monitoring and recording using Privileged Access Management (PAM) solutions, focusing on CyberArk Privileged Session Manager (PSM) and open-source alternatives. Covers session recording configuration, keystroke logging, real-time monitoring, risk-based session analysis, and compliance audit trail generation. Activates for requests involving privileged session recording, PAM session monitoring, CyberArk PSM configuration, administrator activity monitoring, or compliance session auditing.

This skill covers analyzing Programmable Logic Controller (PLC) firmware for security vulnerabilities including hardcoded credentials, insecure update mechanisms, backdoor functions, memory corruption flaws, and undocumented debug interfaces. It addresses firmware extraction from common PLC platforms (Siemens S7, Allen-Bradley, Schneider Modicon), static analysis of firmware images, dynamic analysis in emulated environments, and comparison against known-good baselines to detect tampering.

This skill covers conducting cybersecurity assessments of electric power grid infrastructure including generation facilities, transmission substations, distribution systems, and energy management system (EMS) control centers. It addresses NERC CIP compliance verification, substation automation security, IEC 61850 protocol analysis, synchrophasor (PMU) network security, and the unique threat landscape targeting power grid operations as demonstrated by Industroyer/CrashOverride and related attacks.

Performs privilege escalation assessments on compromised Linux and Windows systems to identify paths from low-privilege access to root or SYSTEM-level control. The tester enumerates misconfigurations, vulnerable services, kernel exploits, SUID binaries, unquoted service paths, and credential stores to demonstrate the full impact of an initial compromise. Activates for requests involving privilege escalation testing, local exploitation, post-compromise escalation, or OS-level security assessment.

Executes Atomic Red Team tests mapped to MITRE ATT&CK techniques, performs coverage gap analysis across the ATT&CK matrix, and runs detection validation loops to measure blue team visibility. Covers Invoke-AtomicRedTeam PowerShell execution, ATT&CK Navigator layer generation for heatmaps, Sigma rule correlation, and continuous atomic testing pipelines. Activates for requests involving purple team exercises, atomic test execution, ATT&CK coverage assessment, detection engineering validation, or adversary emulation testing.

Performs authenticated and unauthenticated vulnerability scanning using Tenable Nessus to identify known vulnerabilities, misconfigurations, default credentials, and missing patches across network infrastructure, servers, and applications. The scanner correlates findings with CVE databases and CVSS scores to produce prioritized remediation guidance. Activates for requests involving vulnerability scanning, Nessus assessment, patch compliance checking, or automated vulnerability detection.

Tests OAuth 2.0 and OpenID Connect implementations for security flaws including authorization code interception, redirect URI manipulation, CSRF in OAuth flows, token leakage, scope escalation, and PKCE bypass. The tester evaluates the authorization server, client application, and token handling for common misconfigurations that enable account takeover or unauthorized access. Activates for requests involving OAuth security testing, OIDC vulnerability assessment, OAuth2 redirect bypass, or authorization code flow testing.

Triage and prioritize vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree framework to produce actionable remediation priorities.

Analyzes malware command-and-control (C2) communication protocols to understand beacon patterns, command structures, data encoding, and infrastructure. Covers HTTP, HTTPS, DNS, and custom protocol C2 analysis for detection development and threat intelligence. Activates for requests involving C2 analysis, beacon detection, C2 protocol reverse engineering, or command-and-control infrastructure mapping.

Uses the Linux Audit framework (auditd) with ausearch and aureport utilities to detect intrusion attempts, unauthorized access, privilege escalation, and suspicious system activity. Covers audit rule configuration, log querying, timeline reconstruction, and integration with SIEM platforms. Activates for requests involving auditd analysis, Linux audit log investigation, ausearch queries, aureport summaries, or host-based intrusion detection on Linux.

Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA deobfuscation to extract the attack chain. Activates for requests involving Office macro analysis, VBA malware investigation, maldoc analysis, or document-based threat examination.

Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.

Leverages Splunk Enterprise Security and SPL (Search Processing Language) to investigate security incidents through log correlation, timeline reconstruction, and anomaly detection. Covers Windows event logs, firewall logs, proxy logs, and authentication data analysis. Activates for requests involving Splunk investigation, SPL queries, SIEM log analysis, security event correlation, or log-based incident investigation.

Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.

Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.

Systematically collects, categorizes, and distributes indicators of compromise (IOCs) during and after security incidents to enable detection, blocking, and threat intelligence sharing. Covers network, host, email, and behavioral indicators using STIX/TAXII formats and threat intelligence platforms. Activates for requests involving IOC collection, indicator extraction, threat indicator sharing, compromise indicators, STIX export, or IOC enrichment.

Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach. Implements short-term and long-term containment using network segmentation, endpoint isolation, credential revocation, and access control modifications. Activates for requests involving breach containment, lateral movement prevention, network isolation, active threat containment, or live incident response.

Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Activates for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.

Extracts indicators of compromise (IOCs) from malware samples including file hashes, network indicators (IPs, domains, URLs), host artifacts (file paths, registry keys, mutexes), and behavioral patterns for threat intelligence sharing and detection rule creation. Activates for requests involving IOC extraction, threat indicator harvesting, malware indicator collection, or building detection content from samples.

Automates GDPR Data Subject Access Request (DSAR) workflows including identity verification, PII discovery across databases and files using regex and NER, data mapping, response templating per Article 15 requirements, deadline tracking, and audit logging. Covers ICO/EDPB guidance compliance, exemption handling, and scalable batch processing. Use when building or auditing DSAR response capabilities under GDPR/UK GDPR.

This skill covers designing and implementing security zones and conduits for industrial automation and control systems (IACS) per IEC 62443-3-2. It addresses zone partitioning based on risk assessment, assigning Security Level targets (SL-T), designing conduit security controls, implementing microsegmentation with industrial firewalls, and validating zone architecture through traffic analysis and penetration testing against the Purdue Reference Model.

Implements passwordless authentication using Microsoft Entra ID with FIDO2 security keys, Windows Hello for Business, Microsoft Authenticator passkeys, and certificate-based authentication to eliminate password-based attacks. Activates for requests involving passwordless deployment, FIDO2 passkey configuration, phishing-resistant MFA, or Microsoft Entra authentication method policies.

Investigates insider threat indicators including data exfiltration attempts, unauthorized access patterns, policy violations, and pre-departure behaviors using SIEM analytics, DLP alerts, and HR data correlation. Use when SOC teams receive insider threat referrals from HR, detect anomalous data movement by employees, or need to build investigation timelines for potential insider threats.

Analyzes firmware images for embedded malware, backdoors, and unauthorized modifications targeting routers, IoT devices, UEFI/BIOS, and embedded systems. Covers firmware extraction, filesystem analysis, binary reverse engineering, and bootkit detection. Activates for requests involving firmware security analysis, IoT malware investigation, UEFI rootkit detection, or embedded device compromise assessment.

Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Activates for requests involving insider threat investigation, employee data theft, privilege misuse, user behavior anomaly, or internal threat detection.

This skill covers performing vulnerability assessments in OT environments using the Claroty xDome platform for comprehensive asset discovery, risk scoring, vulnerability correlation, and remediation prioritization. It addresses passive vulnerability identification through traffic analysis, active safe querying of OT devices, integration with CVE databases and ICS-CERT advisories, and risk-based prioritization that accounts for operational impact and compensating controls.

Performs purple team exercises by coordinating red team adversary emulation with blue team detection validation using MITRE ATT&CK-mapped attack scenarios, real-time detection testing, and collaborative gap remediation. Use when SOC teams need to validate detection capabilities, improve analyst skills, and close detection gaps through structured offensive-defensive collaboration.

Triages security alerts in Splunk Enterprise Security by classifying severity, investigating notable events, correlating related telemetry, and making escalation or closure decisions using SPL queries and the Incident Review dashboard. Use when SOC analysts face queued alerts from correlation searches, need to prioritize investigation order, or must document triage decisions for handoff to Tier 2/3 analysts.

Performs initial triage of security incidents to determine severity, scope, and required response actions using the NIST SP 800-61r3 and SANS PICERL frameworks. Classifies incidents by type, assigns priority based on business impact, and routes to appropriate response teams. Activates for requests involving incident triage, security alert classification, severity assessment, incident prioritization, or initial incident analysis.

Analyzes DNS query logs to detect data exfiltration via DNS tunneling, DGA domain communication, and covert C2 channels using entropy analysis, query volume anomalies, and subdomain length detection in SIEM platforms. Use when SOC teams need to identify DNS-based threats that bypass traditional network security controls.

Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.

Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data. Use when SOC leadership needs operational visibility, continuous improvement tracking, or executive-level reporting on security operations effectiveness.

Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion, normalization, scoring, and distribution to detection systems.

Builds a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.

Deploys and configures Suricata IDS/IPS with Emerging Threats rulesets, EVE JSON logging, and custom rules for real-time network traffic inspection, threat detection, and integration with SIEM platforms for centralized security monitoring.

Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune detection logic for reducing false positives.

Implement secure conduit architecture for OT remote access following IEC 62443 zones and conduits model, deploying jump servers, MFA-enabled gateways, session recording, and approval-based workflows to control vendor and engineer access to industrial control systems without exposing OT networks directly.

Implements SIEM detection use cases by designing correlation rules, threshold alerts, and behavioral analytics mapped to MITRE ATT&CK techniques across Splunk, Elastic, and Sentinel. Use when SOC teams need to expand detection coverage, formalize use case lifecycle management, or build a detection library aligned to organizational threat profile.

Implements Security Orchestration, Automation, and Response (SOAR) workflows using Splunk SOAR (formerly Phantom) to automate alert triage, IOC enrichment, containment actions, and incident response playbooks. Use when SOC teams need to reduce manual analyst work, standardize response procedures, or integrate multiple security tools into automated workflows.

Implements threat modeling using the MITRE ATT&CK framework to map adversary TTPs against organizational assets, assess detection coverage gaps, and prioritize defensive investments. Use when SOC teams need to align detection engineering with threat landscape, conduct threat assessments for new environments, or justify security tool procurement.

Manages the end-to-end cyber threat intelligence lifecycle from planning and direction through collection, processing, analysis, dissemination, and feedback to ensure intelligence products meet stakeholder requirements and continuously improve. Use when establishing or maturing a CTI program, defining intelligence requirements with business stakeholders, or building feedback loops between intelligence consumers and producers. Activates for requests involving CTI program maturity, intelligence requirements, PIRs, or intelligence lifecycle management.

Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap analysis.

Monitors dark web forums, marketplaces, paste sites, and ransomware leak sites for mentions of organizational assets, leaked credentials, threatened attacks, and threat actor communications to provide early warning intelligence. Use when establishing dark web monitoring coverage, investigating specific data breach claims, or enriching incident investigations with dark web context. Activates for requests involving dark web OSINT, leak site monitoring, credential exposure, Recorded Future dark web, or Tor hidden service intelligence.

Perform security analysis of Siemens S7comm and S7CommPlus protocols used by SIMATIC S7 PLCs to identify vulnerabilities including replay attacks, integrity bypass, unauthorized CPU stop commands, and program download manipulation exploiting weaknesses in S7-300, S7-400, S7-1200, and S7-1500 controllers.

Performs tabletop exercises for SOC teams simulating security incidents through discussion-based scenarios to test incident response procedures, communication workflows, and decision-making under pressure without impacting production systems. Use when organizations need to validate IR playbooks, train analysts, or meet compliance requirements for incident response testing.

Performs proactive threat hunting in Elastic Security SIEM using KQL/EQL queries, detection rules, and Timeline investigation to identify threats that evade automated detection. Use when SOC teams need to hunt for specific ATT&CK techniques, investigate anomalous behaviors, or validate detection coverage gaps using Elasticsearch and Kibana Security.

Processes STIX 2.1 threat intelligence bundles delivered via TAXII 2.1 servers, normalizing objects into platform-native schemas and routing them to appropriate consuming systems. Use when onboarding new TAXII collection endpoints, automating bi-directional intelligence sharing with ISACs, or building pipeline validation for malformed STIX bundles. Activates for requests involving OASIS STIX, TAXII server configuration, MISP TAXII, or Cortex XSOAR feed integrations.

Collects and synthesizes open-source intelligence (OSINT) about threat actors, malicious infrastructure, and attack campaigns using publicly available data sources, passive reconnaissance tools, and dark web monitoring. Use when investigating external threat actor infrastructure, performing pre-engagement reconnaissance for authorized red team assessments, or enriching CTI reports with publicly available adversary context. Activates for requests involving Maltego, Shodan, OSINT framework, SpiderFoot, or infrastructure reconnaissance.

Deploys and configures Zeek (formerly Bro) network security monitor to passively analyze network traffic, generate structured logs, detect anomalous behavior, and create custom detection scripts for threat hunting and incident response.

Configures Fail2ban with custom filters and actions to detect port scanning activity, SSH brute force attempts, and network reconnaissance, automatically banning offending IP addresses and alerting security teams to suspicious network probing.

Identifies and exploits IPv6-specific vulnerabilities including SLAAC spoofing, Router Advertisement flooding, and IPv6 tunneling during authorized assessments to test dual-stack security controls and IPv6-aware network defenses.

Implement network segmentation based on the Purdue Enterprise Reference Architecture (PERA) model to separate industrial control system networks into hierarchical security zones from Level 0 physical process through Level 5 enterprise, enforcing strict traffic control between OT and IT domains.

Simulates ARP spoofing attacks in authorized lab or pentest environments using arpspoof, Ettercap, and Scapy to demonstrate man-in-the-middle risks, test network detection capabilities, and validate ARP inspection countermeasures.

Analyze binary exploitation techniques including buffer overflows and ROP chains using pwntools Python library. Covers checksec analysis, gadget discovery with ROPgadget, and exploit development for CTF and authorized security assessments.

Perform vulnerability scanning in OT/ICS environments safely using passive monitoring, native protocol queries, and carefully controlled active scanning with Tenable OT Security to identify vulnerabilities without disrupting industrial processes or crashing legacy controllers.

Crafts and injects custom network packets using Scapy, hping3, and Nemesis during authorized security assessments to test firewall rules, IDS detection, protocol handling, and network stack resilience against malformed and spoofed traffic.

Perform security assessments of SCADA Human-Machine Interface (HMI) systems to identify vulnerabilities in web-based HMIs, thin-client configurations, authentication mechanisms, and communication channels between HMI and PLCs, aligned with IEC 62443 and NIST SP 800-82 guidelines.

Use YARA pattern-matching rules to hunt for malware, suspicious files, and indicators of compromise across filesystems and memory dumps. Covers rule authoring, yara-python scanning, and integration with threat intel feeds.

Simulates VLAN hopping attacks using switch spoofing and double tagging techniques in authorized environments to test VLAN segmentation effectiveness and validate switch port security configurations against Layer 2 bypass attacks.

Captures WPA/WPA2 handshakes and performs offline password cracking using aircrack-ng, hashcat, and dictionary attacks during authorized wireless security assessments to evaluate passphrase strength and wireless network security posture.

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

Monitor and analyze ransomware group data leak sites (DLS) to track victim postings, extract threat intelligence on group tactics, and assess sector-specific ransomware risk for proactive defense.

Build an automated system to track adversary infrastructure using passive DNS, certificate transparency, WHOIS data, and IP enrichment to map and monitor threat actor command-and-control networks.

Extract and catalog attack patterns from cyber threat intelligence reports into a structured STIX-based library mapped to MITRE ATT&CK for detection engineering and threat-informed defense.

Build an automated pipeline to defang indicators of compromise (URLs, IPs, domains, emails) for safe sharing and distribute them in STIX format through TAXII feeds and threat intelligence platforms.

Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure, and TTPs for proactive defense.

Discovering and accessing unprotected pages, APIs, and administrative interfaces by enumerating URLs and bypassing authentication controls during authorized security assessments.

Identifying and exploiting OAuth 2.0 and OpenID Connect misconfigurations including redirect URI manipulation, token leakage, and authorization code theft during security assessments.

Testing WebSocket implementations for authentication bypass, cross-site hijacking, injection attacks, and insecure message handling during authorized security assessments.

Proactively hunts for Advanced Persistent Threat (APT) activity within enterprise environments using hypothesis-driven searches across endpoint telemetry, network logs, and memory artifacts. Use when conducting scheduled threat hunting cycles, investigating anomalous behavior flagged by UEBA, or validating that known APT TTPs are not present in the environment. Activates for requests involving MITRE ATT&CK, Velociraptor, osquery, Zeek, or threat hunting playbooks.

Hunt for malicious PowerShell activity by analyzing Script Block Logging (Event 4104), Module Logging (Event 4103), and process creation events. The analyst parses Windows Event Log EVTX files to detect obfuscated commands, AMSI bypass attempts, encoded payloads, credential dumping keywords, and suspicious download cradles. Activates for requests involving PowerShell threat hunting, script block analysis, encoded command detection, or AMSI bypass identification.

Create, validate, and share STIX 2.1 threat intelligence objects using the stix2 Python library. Covers indicators, malware, campaigns, relationships, bundles, and TAXII 2.1 publishing.

Implement a structured threat intelligence lifecycle encompassing planning, collection, processing, analysis, dissemination, and feedback stages to produce actionable intelligence for organizational decision-making.

Testing web applications for clickjacking vulnerabilities by assessing frame embedding controls and crafting proof-of-concept overlay attacks during authorized security assessments.

Analyze and bypass Content Security Policy implementations to achieve cross-site scripting by exploiting misconfigurations, JSONP endpoints, unsafe directives, and policy injection techniques.

Testing web applications for Cross-Site Request Forgery vulnerabilities by crafting forged requests that exploit authenticated user sessions during authorized security assessments.

Collect, parse, and correlate system, application, and security logs to reconstruct events and establish timelines during forensic investigations.

Auditing HTTP security headers including CSP, HSTS, X-Frame-Options, and cookie attributes to identify missing or misconfigured browser-level protections.

Perform security testing of SOAP web services by analyzing WSDL definitions and testing for XML injection, XXE, WS-Security bypass, and SOAPAction spoofing.

Configure SSL/TLS inspection on network security devices to decrypt, inspect, and re-encrypt HTTPS traffic for threat detection while managing certificates, exemptions, and privacy compliance.