Skill UI

A deep-dive tool for cybersecurity professionals to analyze malware Command and Control (C2) communication across multiple protocols (HTTP, HTTPS, DNS, custom). It helps reverse-engineer beaconing patterns, decode proprietary protocols, and map threat actor infrastructure, making it crucial for building robust detection signatures and attributing threats.

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 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.

A powerful toolkit utilizing Objection and Frida for authorized mobile penetration testing. It enables deep runtime analysis of iOS applications, allowing users to inspect sensitive data in the keychain, filesystem, and memory. Key capabilities include bypassing client-side protections such as SSL pinning and jailbreak detection without requiring source code access.

This skill provides a structured approach to detecting kernel-level rootkits in Linux environments. It utilizes memory forensics with Volatility3 (checking syscalls, hidden modules) and compares system views (/proc vs /sys) to identify tampered kernel structures, hooked syscalls, and concealed processes. It also integrates live scanning tools like rkhunter for comprehensive security incident investigation.

This tool analyzes network packet captures (PCAP) to detect covert communication channels used by malware for Command and Control (C2) and data exfiltration. It specifically focuses on identifying indicators of DNS tunneling, ICMP tunneling, and protocol abuse patterns, providing scoring and detailed reasons for suspicious activity. Useful for threat hunting and security incident investigation.

Utilize the Scapy library in Python to perform deep packet inspection, crafting, sending, and sniffing of various network protocols (TCP, UDP, ICMP, DNS). This skill is essential for analyzing pcap files, implementing advanced security techniques like SYN scans, extracting protocol fields, and detecting network anomalies such as fragmentation or tunneling indicators. Ideal for security researchers, SOC analysts, and penetration testers.

A comprehensive guide for deep packet inspection and network forensics using Wireshark and tshark. This skill is critical for incident response, where it allows users to capture, filter, and analyze network packet data to identify malicious command-and-control traffic, diagnose complex protocol issues, extract indicators of compromise (IOCs), and reconstruct data exfiltration paths. Use it for validating security rules and understanding network anomalies.

This skill utilizes the Microsoft Graph API to parse Office 365 Unified Audit Logs for security incident investigation. It is designed to detect critical indicators of account compromise, including the creation of suspicious email forwarding rules, unauthorized mailbox delegation changes, suspicious OAuth application consent grants, and other signs related to Business Email Compromise (BEC).

This comprehensive toolkit provides deep static analysis capabilities for suspicious PDF documents. Using tools like PDFiD, pdf-parser, and peepdf, it identifies embedded malicious structures—including JavaScript code, shellcode, auto-actions, and exploit kits—without opening or rendering the file. It is essential for security analysts conducting threat triage, forensic investigation, and assessing potential attack vectors from suspicious attachments.

A powerful security tool for querying Certificate Transparency (CT) logs via crt.sh and pycrtsh. It detects potential security threats such as phishing domains, unauthorized certificate issuance, and shadow IT infrastructure. The tool specifically monitors new certificates for typosquatting and brand impersonation using advanced distance metrics, enabling proactive security threat detection.

This powerful tool leverages DNSTwist, a comprehensive domain permutation engine, to detect various forms of domain impersonation. It generates thousands of potential lookalike domains (including typosquatting, attribute flaws, and homographs) and performs deep checks on DNS records, web page similarity (ssdeep/pHash), and registration status. It is vital for security analysts and threat hunters to proactively monitor for brand squatting and sophisticated phishing threats targeting an organization.