Malware IOC extraction is the process of analyzing malicious software to identify actionable indicators of compromise including file hashes, network indicators (C2 domains, IP addresses, URLs), regist

Enrich malware file hashes using the VirusTotal API to retrieve detection rates, behavioral analysis, YARA matches, and contextual threat intelligence for incident triage and IOC validation.

Perform structured log source onboarding into SIEM platforms by configuring collectors, parsers, normalization, and validation for complete security visibility.

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

Perform forensic investigation of Linux system logs including syslog, auth.log, systemd journal, kern.log, and application logs to reconstruct user activity, detect unauthorized access, and establish event timelines on compromised Linux systems.

Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.

Detects lateral movement techniques including Pass-the-Hash, PsExec, WMI execution, RDP pivoting, and SMB-based spreading using SIEM correlation of Windows event logs, network flow data, and endpoint telemetry mapped to MITRE ATT&CK Lateral Movement (TA0008) techniques.

Audit Kubernetes cluster security posture against CIS benchmarks using kube-bench with automated checks for control plane, worker nodes, and RBAC.

Kerberoasting is a post-exploitation technique that targets service accounts in Active Directory by requesting Kerberos TGS (Ticket Granting Service) tickets for accounts with Service Principal Names

Execute and test the JWT none algorithm attack to bypass signature verification by manipulating the alg header field in JSON Web Tokens.

Analyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage.

Performs comprehensive security assessments of IoT devices and their ecosystems by testing hardware interfaces, firmware, network communications, cloud APIs, and companion mobile applications. The tester uses firmware extraction and analysis, hardware debugging via UART and JTAG, network protocol analysis, and runtime exploitation to identify vulnerabilities across all layers of the IoT stack. Activates for requests involving IoT security testing, embedded device assessment, firmware security analysis, or smart device penetration testing.

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.

Automates Indicator of Compromise (IOC) enrichment by orchestrating lookups across VirusTotal, AbuseIPDB, Shodan, MISP, and other intelligence sources to provide contextual scoring and disposition recommendations. Use when SOC analysts need rapid multi-source enrichment of IPs, domains, URLs, and file hashes during alert triage or incident investigation.

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.

Perform authorized initial access using EvilGinx3 adversary-in-the-middle phishing framework to capture session tokens and bypass multi-factor authentication during red team engagements.

Indicator lifecycle management tracks IOCs from initial discovery through validation, enrichment, deployment, monitoring, and eventual retirement. This skill covers implementing systematic processes f

Perform comprehensive ICS/OT asset discovery using Claroty xDome platform, leveraging passive monitoring, Claroty Edge active queries, and integration ecosystem to gain full visibility into industrial control system assets including PLCs, RTUs, HMIs, and network infrastructure across Purdue Model levels.

Execute HTTP Parameter Pollution attacks to bypass input validation, WAF rules, and security controls by injecting duplicate parameters that are processed differently by front-end and back-end systems.

Hash cracking is an essential skill for penetration testers and security auditors to evaluate password strength. Hashcat is the world's fastest password recovery tool, supporting over 300 hash types w

Integrate Hardware Security Modules (HSMs) using PKCS#11 interface for cryptographic key management, signing operations, and secure key storage with python-pkcs11, AWS CloudHSM, and YubiHSM2.

Assessing GraphQL API endpoints for introspection leaks, injection attacks, authorization flaws, and denial-of-service vulnerabilities during authorized security tests.

Performs GraphQL introspection attacks to extract the full API schema including types, queries, mutations, subscriptions, and field definitions from GraphQL endpoints. The tester uses introspection queries to map the attack surface, identifies sensitive fields and mutations, tests for query depth and complexity limits, and exploits GraphQL-specific vulnerabilities including batching attacks, alias-based brute force, and nested query DoS. Activates for requests involving GraphQL security testing, introspection attack, GraphQL enumeration, or GraphQL API penetration testing.

Execute and test GraphQL depth limit attacks using deeply nested recursive queries to identify denial-of-service vulnerabilities in GraphQL APIs.