analyzing-windows-amcache-artifacts▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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Parses and analyzes the Windows Amcache.hve registry hive to extract evidence of program execution, application installation, and driver loading for digital forensics investigations. Uses Eric Zimmerman's AmcacheParser and Timeline Explorer for artifact extraction, SHA-1 hash correlation with threat intel, and timeline reconstruction. Activates for requests involving Amcache forensics, program execution evidence, Windows artifact analysis, or application compatibility cache investigation.
| name | analyzing-windows-amcache-artifacts |
| description | 'Parses and analyzes the Windows Amcache.hve registry hive to extract evidence of program execution, application installation, and driver loading for digital forensics investigations. Uses Eric Zimmerman''s AmcacheParser and Timeline Explorer for artifact extraction, SHA-1 hash correlation with threat intel, and timeline reconstruction. Activates for requests involving Amcache forensics, program execution evidence, Windows artifact analysis, or application compatibility cache investigation. ' |
| domain | cybersecurity |
| subdomain | digital-forensics |
| tags | - amcache - windows-forensics - program-execution - AmcacheParser - eric-zimmerman - timeline-analysis - DFIR |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - RS.AN-01 - RS.AN-03 - DE.AE-02 - RS.MA-01 |
Analyzing Windows Amcache Artifacts
When to Use
- Determining which programs have existed or executed on a Windows system during incident response
- Correlating SHA-1 hashes from Amcache against known malware databases (VirusTotal, CIRCL, MISP)
- Building an application installation and execution timeline for forensic investigations
- Identifying deleted executables that leave traces in Amcache even after file removal
- Investigating insider threats by documenting which portable or unauthorized applications were present
- Analyzing driver loading history to detect rootkits or malicious kernel modules
Do not use as sole proof of program execution. Amcache proves file existence and metadata registration, but ShimCache (AppCompatCache) and Prefetch provide stronger execution evidence. Use all three artifacts together for conclusive analysis.
Prerequisites
- A forensic image or live triage copy of
C:\Windows\appcompat\Programs\Amcache.hve(and associated.LOG1,.LOG2transaction logs) - Eric Zimmerman's AmcacheParser (
AmcacheParser.exe) downloaded from https://ericzimmerman.github.io/ - Eric Zimmerman's Timeline Explorer for viewing parsed CSV output
- Optionally: Registry Explorer for manual hive inspection
- A SHA-1 whitelist of known-good executables (e.g., NSRL hashset) for filtering
- .NET 6+ runtime installed (required by current EZ tools)
- Write access to an output directory for CSV results
Workflow
Step 1: Acquire the Amcache.hve File
Extract the Amcache hive from a forensic image or live system:
# From a live system (requires elevated privileges and raw copy tool)
# Amcache.hve is locked by the system; use a raw disk copy tool
# Option A: FTK Imager - mount image and navigate to:
# C:\Windows\appcompat\Programs\Amcache.hve
# Also collect: Amcache.hve.LOG1, Amcache.hve.LOG2
# Option B: Using KAPE for automated triage collection
kape.exe --tsource C: --tdest D:\Evidence\%m --target Amcache
# Option C: From a mounted forensic image (E: = mounted image)
copy "E:\Windows\appcompat\Programs\Amcache.hve" D:\Evidence\
copy "E:\Windows\appcompat\Programs\Amcache.hve.LOG1" D:\Evidence\
copy "E:\Windows\appcompat\Programs\Amcache.hve.LOG2" D:\Evidence\
Always collect the transaction log files (.LOG1, .LOG2) alongside the hive. AmcacheParser replays uncommitted transactions from these logs to recover the most complete data.
Step 2: Parse Amcache with AmcacheParser
Run AmcacheParser against the acquired hive:
# Basic parsing with CSV output
AmcacheParser.exe -f "D:\Evidence\Amcache.hve" --csv "D:\Evidence\Output"
# Parse with a SHA-1 whitelist to exclude known-good entries (NSRL)
AmcacheParser.exe -f "D:\Evidence\Amcache.hve" -w "D:\Whitelists\nsrl_sha1.txt" --csv "D:\Evidence\Output"
# Parse with a SHA-1 inclusion list (only show matches against known-bad hashes)
AmcacheParser.exe -f "D:\Evidence\Amcache.hve" -b "D:\IOCs\malware_sha1.txt" --csv "D:\Evidence\Output"
# Include deleted entries with high-precision timestamps
AmcacheParser.exe -f "D:\Evidence\Amcache.hve" --csv "D:\Evidence\Output" -i --mp
AmcacheParser produces multiple CSV files in the output directory:
| Output File | Contents |
|---|---|
Amcache_AssociatedFileEntries.csv | File entries with SHA-1 hashes, paths, sizes, and timestamps |
Amcache_UnassociatedFileEntries.csv | Orphaned file entries from older Amcache format |
Amcache_ProgramEntries.csv | Installed program metadata (name, publisher, version, install date) |
Amcache_DeviceContainers.csv | USB and device connection history |
Amcache_DevicePnps.csv | Plug-and-Play device driver information |
Amcache_DriverBinaries.csv | Loaded driver binaries with paths and hashes |
Step 3: Analyze File Entries for Suspicious Programs
Open the AssociatedFileEntries.csv in Timeline Explorer and examine key columns:
Key columns to review:
- ProgramId : Links file to its parent program entry
- SHA1 : Hash for threat intel lookups
- FullPath : Original file location on disk
- FileSize : Size of the executable
- FileKeyLastWriteTimestamp : When the Amcache entry was last updated
- Name : File name
- Publisher : Code signing publisher (blank = unsigned)
- BinProductVersion : Version string from the PE header
- LinkDate : PE compilation timestamp (useful for detecting timestomping)
Filter for suspicious indicators:
# In Timeline Explorer, apply these filters:
# 1. Find unsigned executables (potentially malicious)
Publisher column = (empty)
# 2. Find executables from suspicious paths
FullPath contains: \temp\, \appdata\, \downloads\, \public\, \programdata\
# 3. Find executables with recent timestamps during incident window
FileKeyLastWriteTimestamp between: 2026-03-15 00:00:00 and 2026-03-16 00:00:00
# 4. Find executables with suspicious compilation dates (timestomping)
LinkDate year < 2015 AND FileKeyLastWriteTimestamp year = 2026
Step 4: Correlate SHA-1 Hashes with Threat Intelligence
Extract SHA-1 hashes and check against malware databases:
# Extract unique SHA-1 hashes from the parsed output
# Using PowerShell to extract the SHA1 column
Import-Csv "D:\Evidence\Output\Amcache_AssociatedFileEntries.csv" |
Select-Object -ExpandProperty SHA1 -Unique |
Where-Object { $_ -ne "" } |
Out-File "D:\Evidence\Output\extracted_hashes.txt"
# Check hashes against VirusTotal using vt-cli
foreach ($hash in Get-Content "D:\Evidence\Output\extracted_hashes.txt") {
vt file $hash --format json | Select-Object -Property meaningful_name, last_analysis_stats
}
# Check hashes against CIRCL hashlookup
foreach ($hash in Get-Content "D:\Evidence\Output\extracted_hashes.txt") {
Invoke-RestMethod -Uri "https://hashlookup.circl.lu/lookup/sha1/$hash"
}
# Cross-reference with NSRL to identify known-good vs. unknown
# Unknown hashes that are not in NSRL warrant closer investigation
Step 5: Analyze Program Entries for Unauthorized Installations
Review the ProgramEntries.csv for software the attacker may have installed:
Key columns in ProgramEntries:
- ProgramName : Display name of installed application
- ProgramVersion : Version string
- Publisher : Software publisher
- InstallDate : When the program was installed
- Source : Installation source (msi, exe, etc.)
- UninstallKey : Registry uninstall path
- PathsList : Installation directories
Look for:
- Remote access tools (AnyDesk, TeamViewer, ngrok, Chisel)
- Hacking tools (Mimikatz, PsExec, Cobalt Strike)
- Tunneling utilities (plink, socat, WireGuard)
- Programs installed during the incident window
- Programs installed to non-standard locations
Step 6: Analyze Driver Binaries for Rootkit Evidence
Review the DriverBinaries.csv for suspicious loaded drivers:
Key columns in DriverBinaries:
- DriverName : Name of the driver
- DriverInBox : Whether it shipped with Windows (false = third-party)
- DriverSigned : Whether the driver has a valid signature
- DriverTimeStamp : Compilation timestamp
- Product : Product associated with the driver
- ProductVersion : Driver version
- SHA1 : Hash of the driver binary
Filter for DriverInBox = false and DriverSigned = false to find unsigned third-party drivers that may be rootkits or vulnerable drivers used in BYOVD (Bring Your Own Vulnerable Driver) attacks.
Step 7: Build a Timeline from Amcache Data
Combine Amcache data with other artifacts for a comprehensive timeline:
# Merge Amcache CSV with other EZ Tools output using Timeline Explorer
# Load the following CSVs into Timeline Explorer:
# - Amcache_AssociatedFileEntries.csv (file evidence)
# - Amcache_ProgramEntries.csv (install evidence)
# - Prefetch output from PECmd.exe (execution evidence)
# - ShimCache output from AppCompatCacheParser.exe (execution evidence)
# Sort all entries by timestamp to reconstruct the attack sequence
# Timeline Explorer supports multi-file loading and column-based sorting
# Export the combined timeline
# File > Save to CSV > combined_timeline.csv
Key Concepts
| Term | Definition |
|---|---|
| Amcache.hve | A Windows registry hive at C:\Windows\appcompat\Programs\Amcache.hve that stores metadata about applications, files, and drivers for application compatibility purposes |
| Associated File Entry | An Amcache record linked to a specific program installation, containing file path, size, hash, and timestamps |
| Unassociated File Entry | An orphaned Amcache record from an older format that is not linked to a program entry; common on Windows 7/8 systems |
| Program Entry | Amcache record containing installation metadata: program name, version, publisher, install date, and uninstall key |
| SHA-1 Hash | Cryptographic hash stored in Amcache for each registered file, enabling malware identification through threat intelligence lookups |
| LinkDate | The PE compilation timestamp embedded in the executable header; discrepancy with file system timestamps may indicate timestomping |
| Transaction Logs | .LOG1 and .LOG2 files containing uncommitted registry transactions that AmcacheParser replays for complete data recovery |
| NSRL (National Software Reference Library) | NIST-maintained database of SHA-1 hashes for known commercial software, used as a whitelist to filter benign entries |
Verification
- Amcache.hve and transaction logs (LOG1, LOG2) were collected from the forensic image
- AmcacheParser produced all expected CSV output files without errors
- SHA-1 hashes were extracted and checked against VirusTotal or CIRCL hashlookup
- Unsigned executables in suspicious paths have been flagged for further analysis
- Program entries show all software installations within the incident window
- Driver binaries have been checked for unsigned or out-of-box entries
- LinkDate vs. FileKeyLastWriteTimestamp comparison has been performed to detect timestomping
- Amcache findings are correlated with Prefetch and ShimCache for execution confirmation
- Final timeline integrates Amcache data with other forensic artifacts
How to use analyzing-windows-amcache-artifacts on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add analyzing-windows-amcache-artifacts
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches analyzing-windows-amcache-artifacts from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate analyzing-windows-amcache-artifacts. Access the skill through slash commands (e.g., /analyzing-windows-amcache-artifacts) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
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Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★55 reviews- ★★★★★Lucas Abbas· Dec 20, 2024
analyzing-windows-amcache-artifacts reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Isabella Rahman· Dec 20, 2024
analyzing-windows-amcache-artifacts is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hassan Rao· Dec 20, 2024
Solid pick for teams standardizing on skills: analyzing-windows-amcache-artifacts is focused, and the summary matches what you get after install.
- ★★★★★Amelia Chawla· Dec 16, 2024
Registry listing for analyzing-windows-amcache-artifacts matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Meera Bhatia· Dec 8, 2024
analyzing-windows-amcache-artifacts has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Isabella Abbas· Nov 27, 2024
analyzing-windows-amcache-artifacts reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 11, 2024
Useful defaults in analyzing-windows-amcache-artifacts — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kiara Okafor· Nov 11, 2024
analyzing-windows-amcache-artifacts has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Lucas Rahman· Nov 11, 2024
Keeps context tight: analyzing-windows-amcache-artifacts is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Luis Diallo· Oct 18, 2024
We added analyzing-windows-amcache-artifacts from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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