Skill UI

A comprehensive guide detailing the entire workflow for analyzing embedded firmware. It covers hardware-level extraction methods (UART, JTAG, SPI dump), filesystem analysis (SquashFS, JFFS2), binary reverse engineering using tools like Ghidra, and identifying common vulnerabilities (Buffer Overflow, Command Injection). Ideal for security researchers and embedded systems engineers.

This skill provides comprehensive detection methods for credential dumping techniques, a critical post-exploitation phase in cyber attacks. It targets the extraction of sensitive credentials from LSASS memory, SAM registry hives, and NTDS.dit using advanced security visibility. Detection relies on analyzing Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and complex SIEM correlation rules, making it essential for SOC analysts and threat hunters investigating advanced persistent threats (APTs).

This utility performs comprehensive forensic analysis on memory dumps. It leverages industry-standard tools like Volatility and Mimikatz to extract sensitive information, including cached credentials, NTLM/LM hashes, Kerberos tickets, and authentication tokens. It is crucial for incident response, assessing the scope of credential compromise, and investigating lateral movement attacks.

A comprehensive tool suite designed to analyze firmware images from embedded devices, including routers, IoT endpoints, and critical system components like UEFI/BIOS. It facilitates deep security analysis by performing firmware extraction, filesystem integrity checks, binary reverse engineering, and sophisticated detection of bootkits, backdoors, and unauthorized modifications.

A comprehensive guide to analyzing volatile memory (RAM) dumps using the Volatility 3 framework. This skill enables the extraction of crucial digital evidence, including running processes, network connections, loaded modules, credentials, and encryption keys. It is essential for incident response, detecting rootkits, process hollowing, or identifying malware when traditional disk-based forensics are insufficient.

Zeek is a powerful, open-source network analysis framework that functions as a passive security monitor. It generates highly detailed, structured logs (e.g., HTTP, DNS, TLS) from raw network traffic, allowing for deep metadata extraction. This skill guides users through deploying Zeek, writing custom detection scripts, and integrating the resulting rich security logs with SIEM platforms for advanced threat detection and forensic investigations.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.

This comprehensive skill provides a systematic framework for performing deep security assessments on iOS applications. It covers static analysis of IPA packages, dynamic instrumentation using Frida and Objection, SSL pinning bypass for traffic interception, extraction and auditing of sensitive data from the Keychain, and runtime method hooking. Use this for authorized penetration testing against standards like OWASP MASTG.

A comprehensive playbook for advanced mobile security assessments of iOS applications. Covers both jailbroken and non-jailbroken environments, focusing on critical attack vectors such as keychain extraction, URL scheme hijacking, Universal Links exploitation via AASA misconfigurations, runtime memory manipulation (Frida/Objection), and binary protection analysis.

A comprehensive playbook detailing advanced techniques for attacking Kubernetes clusters. Covers API server access, RBAC privilege escalation, service account token abuse, etcd secrets extraction, Kubelet exploitation, and various container escapes. This guide is essential for security professionals and red teams performing deep security assessments on cloud-native infrastructure.

A comprehensive guide for conducting memory forensics to extract cached credentials, password hashes, Kerberos tickets, and authentication tokens from Windows memory dumps (LSASS). This technique is crucial during incident response or breach assessment to identify compromised accounts or investigate lateral movement.

This skill provides advanced detection methods for credential dumping, covering LSASS memory access, SAM hive extraction, and NTDS.dit theft (e.g., using Mimikatz). It utilizes Sysmon Event ID 10 and Windows Security logs to enable threat hunting, assisting SOC analysts in triaging EDR alerts and building robust SIEM correlation rules.