
DFIR TOOL & PLAYBOOK
Introducing Forensic-Timeliner: The Windows Tool That Simplifies Forensic Event Correlation
By CyberDudeBivash • October 07, 2025 • Technical Guide
cyberdudebivash.com | cyberbivash.blogspot.com
Disclosure: This is a technical guide for Digital Forensics and Incident Response (DFIR) professionals. It contains affiliate links to relevant training and security solutions. Your support helps fund our independent research.
DFIR Guide: Table of Contents
- Chapter 1: The DFIR Nightmare — Drowning in Disparate Timestamps
- Chapter 2: The Solution — The Forensic-Timeliner Framework
- Chapter 3: The Playbook — A 3-Step Guide to Building Your First Timeline
- Chapter 4: The Strategic Impact — From Manual Drudgery to Rapid Insight
Chapter 1: The DFIR Nightmare — Drowning in Disparate Timestamps
In any major incident response, the first question is always the same: “What happened?” To answer it, an investigator must build a timeline. But the evidence is scattered across dozens of different artifacts, each with its own format and timestamp: Windows Event Logs, the Master File Table (MFT), Registry hives, Prefetch files, browser history, and more. Manually parsing these sources, normalizing their timestamps to UTC, and correlating them into a single, coherent story is one of the most time-consuming and error-prone tasks in all of digital forensics. This manual drudgery is a major bottleneck that slows down the entire incident response process.
Chapter 2: The Solution — The Forensic-Timeliner Framework
To solve this, we’re introducing **Forensic-Timeliner**, a conceptual tool and framework designed to automate this entire process. It acts as a universal translator and correlator for Windows forensic artifacts.
Core Functionality:
The tool is designed to ingest a collection of raw forensic artifacts and automatically:
- **Parse Multiple Sources:** It has parsers for key artifacts, including the MFT, key Registry hives (like ShimCache and AmCache), EVTX event logs, and Prefetch files.
- **Normalize Timestamps:** It intelligently converts all the different timestamp formats (FILETIME, Unix epoch, etc.) into a standardized, human-readable UTC format.
- **Correlate and Sort:** It merges all the extracted events from all sources into a single “super-timeline,” sorted chronologically.
- **Output to CSV:** It outputs this unified timeline into a simple CSV file, ready for analysis in a spreadsheet or timeline explorer.
Chapter 3: The Playbook — A 3-Step Guide to Building Your First Timeline
Step 1: Acquire the Artifacts
From a compromised system or a forensic disk image, collect your key evidence files. At a minimum, you will want:
- Key Registry Hives: `NTUSER.DAT`, `SYSTEM`, `SOFTWARE`, `SECURITY`, and `Amcache.hve`.
- The `$MFT` file from the root of the C: drive.
- The `C:\Windows\Prefetch` directory.
- The `C:\Windows\System32\winevt\Logs` directory for all event logs.
Step 2: Run Forensic-Timeliner
Point the tool at the directory containing your collected artifacts.
$ Forensic-Timeliner.py --input C:\Case\Artifacts --output C:\Case\timeline.csv
Step 3: Analyze the Unified Timeline
Open the resulting `timeline.csv` file. You now have a single, chronologically sorted view of the attack. You can filter and search this data to instantly reconstruct the kill chain. For example, you can see the exact second of a suspicious RDP login (from the event log), followed one second later by the creation of a malicious file (from the MFT), followed two seconds later by the execution of that file (from the Prefetch and AmCache evidence).
Chapter 4: The Strategic Impact — From Manual Drudgery to Rapid Insight
Tools and frameworks like Forensic-Timeliner are “force multipliers” for a Security Operations Center (SOC). They automate the 80% of forensic work that is manual, repetitive, and low-level. This doesn’t replace the human analyst; it empowers them. By getting a unified timeline in minutes instead of days, the human investigator can immediately jump to the high-value work of interpreting the data, understanding the attacker’s intent, and determining the full scope of the breach.
This massive acceleration of the investigation process directly leads to a reduction in Mean Time to Respond (MTTR). It allows your team to move faster, contain the breach sooner, and ultimately reduce the overall impact and cost of a security incident.
Master the Craft: The skills to perform deep digital forensics and incident response are in high demand. A professional certification like the **CHFI (Computer Hacking Forensic Investigator) from Edureka** provides the deep, hands-on training needed to master these essential techniques.
Get Elite DFIR & Threat Hunting Playbooks
Subscribe for deep-dive technical guides, malware analysis, and strategic insights. Subscribe
About the Author
CyberDudeBivash is a cybersecurity strategist with 15+ years in Digital Forensics (DFIR), incident response, and threat hunting, advising CISOs and SOC teams across APAC. [Last Updated: October 07, 2025]
#CyberDudeBivash #DFIR #Forensics #IncidentResponse #ThreatHunting #CyberSecurity #InfoSec #Windows #EDR
Leave a comment