Skill UI

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 tool automates the extraction of embedded configuration details from Agent Tesla Remote Access Trojan (RAT) samples. It is designed to recover crucial exfiltration credentials (SMTP, FTP, Telegram), keylogger settings, and Command and Control (C2) endpoints by analyzing and deobfuscating the .NET assembly structure. Essential for threat intelligence, incident response, and malware reverse engineering.

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 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.

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.

An expert playbook detailing advanced techniques for pivoting across compromised Linux hosts. Techniques cover SSH agent hijacking, credential harvesting from common system files, key extraction, and abusing internal services via D-Bus and systemd exploitation, crucial for post-exploitation stages.

A comprehensive guide for advanced memory forensics using Volatility 2 and 3. This playbook covers artifact extraction, including hidden process detection, network connections, credential dumping, DLL analysis, and code injection detection (malfind). It is essential for incident response, malware analysis, and reconstructing attack timelines from memory dumps.

A comprehensive, advanced playbook for conducting deep network traffic analysis and PCAP forensics. Covers essential skills like PCAP repair, advanced Wireshark filtering (HTTP, DNS, TLS), data extraction (file carving, credential harvesting), and detecting covert channels. It guides users through sophisticated techniques, including TLS decryption workflows and DNS tunneling identification.

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.

This specialized downstream skill is designed for deep analysis of complex attack paths originating from Server-Side Request Forgery (SSRF). It systematically tracks the entire exploitation chain: from the initial SSRF source (e.g., webhook, URL parameter) through internal service reachability, metadata endpoint exploitation, credential extraction, and finally, demonstrating how an attacker achieves accepted access or elevated privileges. Use this when tracing the decisive path through server-side requests and credential pivoting.