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Analyze Cobalt Strike Beacon Configuration

analyzing-cobalt-strike-beacon-configuration

mukul975/Anthropic-Cybersecurity-Skills

A specialized tool designed for incident responders and threat hunters. It extracts critical configuration data—such as C2 server addresses, malleable profiles, watermarks, and communication settings—from Cobalt Strike beacon payloads found in PE files or memory dumps. This analysis is crucial for mapping attacker infrastructure and improving defensive detection rules.

Analyzing Cobalt Strike Malleable C2 Profiles

analyzing-cobaltstrike-malleable-c2-profiles

mukul975/Anthropic-Cybersecurity-Skills

This tool parses and analyzes Cobalt Strike Malleable C2 profiles, extracting critical network indicators such as HTTP/DNS transforms, URIs, headers, jitter, and sleep cycles. It is essential for reverse-engineering captured profiles or building robust network detection signatures for threat hunting and incident response.

Analyzing Command and Control Communications

analyzing-command-and-control-communication

mukul975/Anthropic-Cybersecurity-Skills

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.

Analyzing Cyber Kill Chain Progression

analyzing-cyber-kill-chain

mukul975/Anthropic-Cybersecurity-Skills

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.

Docker Container Forensics Analysis

analyzing-docker-container-forensics

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive guide for digital forensics professionals to investigate compromised Docker containers. It covers best practices for preserving container state, analyzing image layers, reviewing runtime logs, and examining host system artifacts to identify evidence of malicious activity, container escapes, or misconfigurations.

Analyzing Golang Malware in Ghidra

analyzing-golang-malware-with-ghidra

mukul975/Anthropic-Cybersecurity-Skills

This skill details the process of reverse engineering Go-compiled malware using Ghidra. It involves parsing Go-specific metadata structures like buildinfo and pclntab to recover stripped or obfuscated function names. Users can also extract embedded module paths and dependency strings, providing critical insight into the malware's capabilities and third-party dependencies.

Analyzing Linux System Artifacts

analyzing-linux-system-artifacts

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive guide for digital forensics analysts to investigate compromised Linux systems. This workflow details the collection and analysis of critical system artifacts, including authentication logs, shell histories, SSH keys, and system configurations. Use this methodology during incident response to detect rootkits, unauthorized persistence mechanisms, and reconstruct full attacker activity.

Analyze Malicious URLs Using URLScan

analyzing-malicious-url-with-urlscan

mukul975/Anthropic-Cybersecurity-Skills

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.

Analyze Malware Persistence with Autoruns

analyzing-malware-persistence-with-autoruns

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive tool for security professionals to enumerate and analyze malware persistence mechanisms across critical Windows Auto-Start Extensibility Points (ASEPs). It systematically scans registry run keys, scheduled tasks, services, drivers, and startup locations. Ideal for incident response, threat hunting, and validating the complete removal of malicious autostart entries.

Analyzing MFT for Deleted File Recovery

analyzing-mft-for-deleted-file-recovery

mukul975/Anthropic-Cybersecurity-Skills

This skill details advanced digital forensics techniques for recovering metadata and content of deleted files by analyzing the NTFS Master File Table ($MFT). It covers examining key system artifacts like $LogFile and $UsnJrnl, and analyzing MFT slack space. Use this when reconstructing file system timelines, investigating data loss, or detecting anti-forensic techniques like timestomping during a Windows forensic examination.

Analyzing Network Flow Data with Netflow

analyzing-network-flow-data-with-netflow

mukul975/Anthropic-Cybersecurity-Skills

This tool parses NetFlow v9 and IPFIX records to conduct deep network security analysis. It is crucial for investigating security incidents by building traffic baselines and applying statistical methods. Key detection capabilities include identifying port scanning, data exfiltration attempts, command and control (C2) beaconing patterns, and general volumetric anomalies in network traffic.

Malware Network Traffic Analysis Guide

analyzing-network-traffic-of-malware

mukul975/Anthropic-Cybersecurity-Skills

A comprehensive guide for analyzing PCAP files captured during malware execution. It demonstrates advanced techniques using Wireshark, Zeek, Suricata, and Python (scapy) to identify Command and Control (C2) communications, data exfiltration channels, Domain Generation Algorithms (DGA), and periodic beaconing patterns. Essential for malware reverse engineering and network threat detection.

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