Can this skill help identify malware on a system?

Yes, by extracting SHA-1 hashes and publisher information, it helps investigators identify unsigned binaries, suspicious drivers, or known malicious files like credential dumpers.

Is this skill relevant for all versions of Windows?

Amcache analysis is specifically targeted at modern Windows environments (Windows 8 and later) where the Amcache.hve file serves as a primary artifact for program execution.

What prerequisites are needed to use this skill?

Users should have familiarity with digital forensics, Python 3.8+, and access to appropriate forensic tools like AmcacheParser to process the hive files.

What is the primary purpose of the Amcache analysis skill?

The skill helps digital forensic investigators extract and interpret evidence of program execution, file metadata, and hashes from the Windows Amcache.hve registry hive.

Windows Amcache Artifact Analysis

Name: Windows Amcache Artifact Analysis
Author: micsapp

bymicsapp

0•

Security & Testing

Extracts and analyzes execution evidence from Windows Amcache.hve hives to identify malicious activity and program history.

This skill empowers Claude to guide users through the complex process of Windows Amcache forensics, a critical component of digital investigations. By parsing the Amcache.hve registry hive, the skill enables the extraction of application execution history, file paths, SHA-1 hashes, and installation timestamps. It is designed for Incident Response (IR) teams and forensic analysts who need to reconstruct timelines of compromise, identify unsigned or suspicious binaries, and detect persistence mechanisms that traditional logs might miss. It provides structured procedures for interpreting Amcache data to accelerate threat hunting and forensic reporting.

Key Features

01Analyzes publisher metadata to flag unsigned or suspicious drivers

02Extracts program execution history including paths and timestamps

03Assists in building detection rules based on forensic artifacts

04Recovers device connection history and installation sources

050 GitHub stars

06Provides SHA-1 hashes for malware identification and threat intelligence

Use Cases

01Validating security monitoring coverage for application execution attack techniques

02Threat hunting for unauthorized or portable executables in corporate environments

03Reconstructing a timeline of malicious activity during a post-breach investigation

Key Features

01Analyzes publisher metadata to flag unsigned or suspicious drivers

02Extracts program execution history including paths and timestamps

03Assists in building detection rules based on forensic artifacts

04Recovers device connection history and installation sources

050 GitHub stars

06Provides SHA-1 hashes for malware identification and threat intelligence

Use Cases

01Validating security monitoring coverage for application execution attack techniques

02Threat hunting for unauthorized or portable executables in corporate environments

03Reconstructing a timeline of malicious activity during a post-breach investigation