Skill UI

Leverage Certificate Transparency (CT) logs via crt.sh and Certstream to proactively monitor for suspicious SSL/TLS certificates. This skill helps detect lookalike domains, unauthorized certificate issuance, and potential phishing infrastructure targeting your organization before attacks launch. Includes querying logic and threat intelligence integration.

This skill analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework. It identifies which attack phases an adversary has completed, points where defenses failed or succeeded, and recommends controls to disrupt the attack at earlier stages. It is essential for post-incident analysis, threat intelligence reporting, and designing robust defense-in-depth strategies.

This skill analyzes DNS query logs to detect sophisticated threats such as data exfiltration via DNS tunneling, Domain Generation Algorithm (DGA) usage, and covert Command and Control (C2) channels. It utilizes advanced techniques like entropy analysis, query volume anomaly detection, and subdomain length analysis within SIEM platforms, helping SOC teams identify threats that bypass traditional network security controls.

A comprehensive skill for performing deep security audits on Ethereum smart contracts. Utilizes both static analysis (Slither) and symbolic execution (Mythril) to detect critical vulnerabilities such as reentrancy, integer overflows, and access control issues. This process is crucial for ensuring the security and immutability of financial assets before mainnet deployment.

This skill provides a comprehensive workflow for reverse engineering Go-compiled malware using Ghidra. It focuses on overcoming Go-specific binary challenges, such as non-null-terminated strings, complex metadata structures (pclntab), and function name recovery in stripped binaries. Users can extract build information, reconstruct dependencies, and analyze malicious capabilities essential for threat intelligence and incident response.

This skill provides a comprehensive guide to detecting and analyzing heap spray exploitation techniques from raw memory dumps. Utilizing Volatility3's advanced plugins (such as malfind and vadinfo), users can identify key forensic artifacts like NOP sled patterns, suspicious executable memory regions, and embedded shellcode. It is essential for malware analysts and digital forensics investigators conducting incident response.

This skill analyzes Indicators of Compromise (IOCs)—such as IP addresses, domains, and file hashes—by querying multiple threat intelligence platforms (VirusTotal, AbuseIPDB, MISP). It determines maliciousness confidence, assigns blocking priorities, and attributes threats to campaigns, crucial for incident response, threat triage, and making informed security decisions.

This skill provides a comprehensive method for detecting kernel-level rootkits on Linux systems. It leverages memory forensics using Volatility3 on physical memory dumps, combined with cross-view analysis (comparing /proc vs /sys) and live system scanning (rkhunter). Techniques include identifying hooked syscall tables, discovering hidden kernel modules, and detecting tampered system structures.

This skill details the forensic analysis of Windows LNK shortcut files and Jump Lists. It enables investigators to reconstruct user activity, track file access, and determine program execution history by parsing critical metadata like timestamps, paths, and system identifiers, even when the original artifacts are deleted.

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

This skill automates the execution of suspicious malware samples within a secure, isolated Cuckoo Sandbox environment. It observes comprehensive runtime behaviors, including process creation chains, file system tampering, registry modifications, network communications, and API calls. It is essential for generating detailed behavioral reports, extracting Indicators of Compromise (IOCs), and classifying unknown malware samples.

This skill provides a comprehensive guide to using the Malpedia API for advanced malware intelligence analysis. Users can track malware family relationships, analyze variant evolution, extract associated YARA rules for detection, and map connections to specific threat actors. It is essential for security researchers and SOC analysts building robust threat models.