Skip to content

01 Digital Forensics Labs

For the EC-Council → Labs → Digital Forensics Labs section, I recommend keeping this focused to 10 high-value labs that align strongly with CHFI skills, SOC/incident response work, and real-world forensic investigations.

The sequence should take the learner through the complete forensic lifecycle:

Identify → Preserve → Collect → Examine → Analyze → Correlate → Reconstruct → Document → Report

Lab Digital Forensics Lab Primary Skill
Lab 01 Digital Evidence Handling & Chain of Custody Evidence preservation
Lab 02 Disk Image & Filesystem Investigation Disk forensics
Lab 03 Deleted Files & Metadata Investigation File recovery and metadata
Lab 04 Windows Forensic Artifact Investigation Windows forensics
Lab 05 Linux Forensic Investigation Linux artifacts and logs
Lab 06 Memory Forensics Investigation Volatile-memory analysis
Lab 07 Browser, Email & Phishing Forensics User-activity investigation
Lab 08 Network Forensics & Packet Investigation Network evidence
Lab 09 Incident Timeline Reconstruction & Evidence Correlation Multi-source investigation
Lab 10 Enterprise Digital Forensics Capstone End-to-end investigation

Lab 01 — Digital Evidence Handling & Chain of Custody

Section titled “Lab 01 — Digital Evidence Handling & Chain of Custody”

Learn how to correctly identify, collect, preserve, label, verify, store, and document digital evidence.

  • evidence identification

  • evidence preservation

  • chain of custody

  • forensic integrity

  • hashing

  • evidence labeling

  • evidence acquisition planning

  • original vs working copies

  • forensic documentation

  • evidence transfer

Identify → Preserve → Acquire → Hash → Verify → Label → Store → Document

Learners should:

  • receive a simulated evidence item

  • assign an evidence ID

  • record acquisition information

  • calculate cryptographic hashes

  • create an evidence register

  • preserve the original

  • create a working copy

  • verify working-copy integrity

  • complete a Chain of Custody form

  • produce an Evidence Handling Report

Digital Evidence Register + Chain of Custody Record


Lab 02 — Disk Image & Filesystem Investigation

Section titled “Lab 02 — Disk Image & Filesystem Investigation”

Investigate a forensic disk image while preserving the original evidence.

  • forensic disk images

  • partitions

  • filesystem structures

  • directories

  • file attributes

  • timestamps

  • filesystem metadata

  • file signatures

  • hidden/system files

  • evidence extraction

Forensic Image
Integrity Verification
Partition Analysis
Filesystem Identification
Directory Examination
File Analysis
Metadata
Evidence

Learners investigate:

  • partition structure

  • filesystem type

  • directory hierarchy

  • interesting files

  • file timestamps

  • file ownership

  • filesystem metadata

  • file signatures

  • suspicious artifacts

The original forensic image remains unchanged.

Disk Forensics Investigation Report


Lab 03 — Deleted Files & Metadata Investigation

Section titled “Lab 03 — Deleted Files & Metadata Investigation”

Investigate deleted-file artifacts and use metadata to reconstruct file activity.

  • deleted-file artifacts

  • recycle/trash mechanisms

  • filesystem metadata

  • file signatures

  • timestamps

  • document metadata

  • image metadata

  • file creation/modification/access

  • timeline correlation

File → Metadata → Timestamp → User → Activity → Evidence

Learners examine:

  • deleted training files

  • recovered file names

  • file signatures

  • timestamps

  • document metadata

  • image metadata

  • file ownership

  • original locations

  • deletion indicators

The learner should answer:

What existed, when was it created or modified, when was it deleted, and what evidence supports that conclusion?

Deleted File & Metadata Evidence Register


Lab 04 — Windows Forensic Artifact Investigation

Section titled “Lab 04 — Windows Forensic Artifact Investigation”

This should be one of the largest labs because Windows artifacts are extremely valuable for both CHFI and incident-response investigations.

Reconstruct activity on a Windows endpoint using forensic artifacts.

  • Windows Event Logs

  • Registry

  • user profiles

  • logon activity

  • recent files

  • execution artifacts

  • Prefetch

  • shortcut files

  • Jump Lists

  • USB/device artifacts

  • scheduled tasks

  • services

  • browser artifacts

  • filesystem timestamps

Windows Evidence
User Identification
Authentication Activity
Program Execution
File Activity
Device Activity
Persistence Indicators
Timeline

Learners determine:

  • Who used the system?

  • When did authentication occur?

  • Which programs were executed?

  • Which files were accessed?

  • Were external devices connected?

  • Were unusual services or tasks present?

  • What happened immediately before and after the suspicious activity?

Windows Endpoint Forensic Investigation Report


Investigate a Linux system using filesystem, authentication, process, service, and logging evidence.

/var/log/
/etc/passwd
/etc/group
/etc/sudoers
User Home Directories
Shell History
SSH Configuration
Authentication Logs
Cron
Systemd
Application Logs
  • Linux log analysis

  • authentication investigation

  • account activity

  • SSH evidence

  • sudo activity

  • process/service analysis

  • scheduled activity

  • file permissions

  • user artifacts

  • timeline reconstruction

Learners determine:

Which account was active?

When was the system accessed?

Which administrative actions occurred?

Which services were running?

Were unusual scheduled activities present?

Which files changed during the investigation window?

Linux Forensic Investigation Report


This is an important CHFI-focused lab and introduces learners to volatile evidence.

Analyze an acquired memory image to identify processes, network activity, loaded components, and suspicious runtime artifacts.

  • volatile evidence

  • memory acquisition concepts

  • memory-image integrity

  • process analysis

  • parent-child process relationships

  • network connections

  • loaded modules

  • command-line evidence

  • suspicious runtime behavior

  • evidence correlation

Memory Image
System Context
Processes
Process Relationships
Network Connections
Runtime Artifacts
Suspicious Activity
Correlation

A controlled training environment can introduce tools such as:

  • Volatility

  • forensic viewers

  • process-analysis utilities

The lab should focus on analysis of provided memory evidence, not acquiring sensitive memory from unrelated systems.

Memory Forensics Findings Register


Lab 07 — Browser, Email & Phishing Forensics

Section titled “Lab 07 — Browser, Email & Phishing Forensics”

This combines several closely related user-activity evidence sources rather than creating too many small labs.

Investigate a simulated phishing incident by correlating email, browser, download, and endpoint artifacts.

Learners review:

  • sender

  • recipient

  • subject

  • timestamps

  • message headers

  • routing information

  • reply-to

  • URLs

  • attachments

  • authentication results where available

Investigate:

  • browsing history

  • downloads

  • timestamps

  • visited domains

  • cached information

  • cookies where appropriate

  • downloaded filenames

Email Received
Link Opened
Website Visited
File Downloaded
File Accessed
Endpoint Activity

The learner must determine whether the evidence supports this sequence.

Correlation is stronger than relying on one artifact.

Phishing & User Activity Forensic Report


Lab 08 — Network Forensics & Packet Investigation

Section titled “Lab 08 — Network Forensics & Packet Investigation”

Analyze captured network evidence to reconstruct communication associated with a simulated security incident.

  • PCAP preservation

  • packet analysis

  • IP communication

  • TCP sessions

  • DNS

  • HTTP

  • TLS metadata

  • source/destination analysis

  • connection timelines

  • protocol identification

  • network evidence correlation

PCAP
Endpoints
Protocols
DNS
Connections
Application Traffic
Timeline
Security Interpretation

Learners receive a controlled PCAP and determine:

  • which hosts communicated

  • which domains were resolved

  • which services were contacted

  • when communication occurred

  • which protocols were involved

  • whether communication matches expected system behavior

Network Forensic Investigation Report


Lab 09 — Incident Timeline Reconstruction & Evidence Correlation

Section titled “Lab 09 — Incident Timeline Reconstruction & Evidence Correlation”

This should be the major analytical lab before the capstone.

Combine evidence from multiple sources and reconstruct a defensible incident timeline.

Provide learners with:

Windows Logs
Linux Logs
Authentication Logs
Web Logs
DNS Logs
Firewall Logs
Browser History
Email Evidence
Filesystem Metadata
Network PCAP

Timestamp → Event → Source → Actor → Asset → Action → Evidence → Confidence

Time Asset Evidence Source Event Confidence
09:14 User01 Email Message received Confirmed
09:18 User01 Browser URL visited Confirmed
09:19 User01 Browser File downloaded Confirmed
09:22 User01 Endpoint Program activity Supported
09:25 User01 DNS Domain resolved Confirmed
09:26 User01 Network Connection observed Confirmed

Learners must distinguish:

Observed Fact

from:

Interpretation

from:

Hypothesis

For example:

Fact: A connection occurred at 09:26.

Interpretation: The connection followed execution of the downloaded file.

Hypothesis: The downloaded file initiated the connection.

The third statement requires sufficient evidence before being presented as confirmed.

Incident Timeline + Evidence Correlation Report


Lab 10 — Enterprise Digital Forensics Capstone

Section titled “Lab 10 — Enterprise Digital Forensics Capstone”

This should combine everything from Labs 01–09.

Learners receive a fictional enterprise incident and act as the assigned Digital Forensics Investigator.

The investigation begins with an incident notification:

A user reported unusual workstation activity after interacting with a suspicious email. Security monitoring subsequently identified unusual authentication and network activity. The investigation team has preserved several evidence sources for forensic examination.

The learner receives:

Disk Evidence
Memory Evidence
Windows Logs
Linux / Server Logs
Email Evidence
Browser Artifacts
DNS Logs
Firewall Logs
Network PCAP
Incident Metadata

Incident Notification
Evidence Identification
Evidence Preservation
Integrity Verification
Evidence Examination
Artifact Analysis
Timeline Reconstruction
Evidence Correlation
Hypothesis Validation
Scope Determination
Conclusions
Forensic Report

The learner must determine:

  • What appears to have initiated the incident?

  • Which user/system was involved?

  • When did suspicious activity begin?

  • Which websites were visited?

  • Were files downloaded?

  • Which files were accessed?

  • What processes or programs were observed?

  • What authentication events occurred?

  • What relevant filesystem artifacts exist?

  • Which domains were resolved?

  • Which IP addresses were contacted?

  • Which network connections followed the suspicious activity?

  • Which assets show relevant evidence?

  • What is confirmed?

  • What remains uncertain?

  • What security impact is supported by the evidence?

Evidence ID Source Artifact Timestamp Observation Confidence
EV-001 Email Message
EV-002 Browser History
EV-003 Disk File
EV-004 Memory Process
EV-005 DNS Query
EV-006 PCAP Connection
EV-007 Windows Event

Learners construct:

T0 — Incident precursor
T1 — Initial user activity
T2 — Suspicious artifact appears
T3 — Endpoint activity
T4 — Authentication activity
T5 — DNS / network communication
T6 — Security detection
T7 — Evidence preservation

Every event should reference evidence.


The learner submits:

# Enterprise Digital Forensics Investigation
## 1. Executive Summary
## 2. Incident Background
## 3. Investigation Objectives
## 4. Investigation Scope
## 5. Evidence Received
## 6. Chain of Custody
## 7. Evidence Integrity Verification
## 8. Investigation Methodology
## 9. Disk Forensics
## 10. Windows / Linux Forensics
## 11. Memory Forensics
## 12. Browser Analysis
## 13. Email Analysis
## 14. Network Forensics
## 15. DNS Analysis
## 16. Authentication Analysis
## 17. Incident Timeline
## 18. Evidence Correlation
## 19. Findings
## 20. Scope & Impact
## 21. Conclusions
## 22. Recommendations
## 23. Investigation Limitations
## Appendix A — Evidence Register
## Appendix B — Chain of Custody
## Appendix C — Timeline
## Appendix D — Evidence Index

I would keep the folder clean:

Digital Forensics Labs
├── Lab 01 — Digital Evidence Handling & Chain of Custody
├── Lab 02 — Disk Image & Filesystem Investigation
├── Lab 03 — Deleted Files & Metadata Investigation
├── Lab 04 — Windows Forensic Artifact Investigation
├── Lab 05 — Linux Forensic Investigation
├── Lab 06 — Memory Forensics Investigation
├── Lab 07 — Browser, Email & Phishing Forensics
├── Lab 08 — Network Forensics & Packet Investigation
├── Lab 09 — Incident Timeline Reconstruction & Evidence Correlation
└── Lab 10 — Enterprise Digital Forensics Capstone

This gives us a much tighter progression than creating 15–20 overlapping forensic labs:

Evidence → Disk → Files → Windows → Linux → Memory → User Activity → Network → Timeline → Enterprise Investigation

It covers the core practical skills around CHFI, while also supporting the CSA and ECIH paths without duplicating entire SOC and incident-response lab tracks.

The next step should be Lab 01 — Digital Evidence Handling & Chain of Custody, built in the same detailed GoHackersCloud mission format as the Ethical Hacking labs.