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Beginners guide to Cloud Forensics

Hello, aspiring cyber forensic investigators. In our previous blogpost, you have learnt in detail about Digital Forensics. In this article, you will learn about Cloud Forensics. As organizations move more data and services to the cloud, security incidents are no longer confined to laptops, servers or on-premise networks. Many investigations today involve virtual machines, cloud storage, identity services and application logs that exist entirely online. Cloud forensics is the field that helps investigators collect and analyze this cloud-based evidence in a reliable and defensible way.

This article explains cloud forensics in plain language — what it is, how it differs from traditional forensics and what beginners should focus on first.

What Is Cloud Forensics?

Cloud forensics is the process of identifying, collecting, preserving and analyzing digital evidence from cloud environments. These environments are provided by platforms such as Amazon Web Services, Microsoft Azure and Google Cloud Platform.

Instead of seizing physical devices, cloud investigations rely on logs, metadata, snapshots and API-based evidence made available by the cloud platform. The goal remains the same as traditional forensics: reconstruct what happened, when it happened and who was responsible.

How Cloud Forensics Differs from Traditional Forensics?

Beginners often assume cloud forensics works like disk forensics but there are important differences between them. Let’s see what are they.

1. No Physical access:

In traditional forensics, investigators image hard drives or memory. In the cloud, there is no direct access to physical hardware. Evidence is collected logically using provider tools and permissions.

2. Shared responsibility model:

In Cloud, Cloud providers secure the infrastructure, while customers are responsible for their data, configurations and access controls. Investigators must understand which evidence is available to them and which is controlled by the provider.

3. Highly dynamic environments:

Cloud resources can be created and destroyed quickly. Virtual machines, containers and temporary storage may disappear within minutes, making timely evidence collection critical.

4. Logs are central:

While disk images are still useful in some cases, cloud forensics heavily depends on logs—identity logs, API activity logs, storage access logs and network flow logs.

Common Sources Of Cloud Forensic Evidence

For beginners in cloud forensics, knowing where to look is the most important skill. Typical cloud evidence sources include:

1. Identity and access logs:

These contain logs related to Login attempts, role changes, token usage and API calls. These often reveal account compromise or abuse.

2. Computing resources:

Virtual machine metadata, snapshots, attached disks and system logs.

3. Cloud storage logs:

Records of file uploads, downloads, deletions and permission changes.

4. Network logs:

Network logs contain information like traffic flow logs, firewall logs and load balancer logs that show communication patterns.

5. Application logs:

Logs generated by cloud-hosted applications, often critical for timelines.

Common Cloud Forensics Use Cases

Cloud forensics is useful in many real-world investigations, such as:

  • Compromised cloud accounts caused by stolen credentials or leaked API keys
  • Data exposure incidents, such as publicly accessible storage buckets
  • Insider activity, where legitimate users misuse access
  • Unauthorized deployments, including crypto-mining or rogue services
  • Compliance and audit investigations, requiring proof of actions taken

In many cases involving Cloud, there is no malware involved. Instead, attackers abuse valid permissions and cloud features.

Best Practices for Beginners

If you are new to cloud forensics, these practices will help you get started safely.

1. Enable logging before any incidents happen:

This is very important as you cannot investigate anything that was never recorded.

2. Preserve evidence early:

The earlier you preserve your evidence, the better it is. So, export logs and snapshots as soon as an incident is suspected.

3. Work with read-only access when possible:

This helps in avoiding modification of live environments during investigations.

4. Document every step:

Record information about every step you take in investigation like what data is collected, when is it collected and how is it collected.

5. Think in timelines:

Always remember. Cloud forensics is mostly about correlating events across multiple services.

Why Cloud Forensics Matters for your Career

Cloud forensics is becoming a core DFIR skill. Modern attacks increasingly target identity systems, cloud APIs and misconfigurations rather than traditional malware. Understanding cloud investigations also strengthens skills in cloud security, incident response and compliance.

For beginners, learning this is not about mastering every cloud service. It’s about understanding how evidence is generated, stored and preserved in cloud platforms.

Conclusion

Cloud forensics requires a shift in mindset. Instead of focusing only on disks and files, investigators should focus on actions, identities and logs. By learning where evidence lives and how cloud environments operate, beginners can confidently investigate incidents in modern, cloud-first organizations.

As cloud adoption continues to grow, cloud forensics is no longer optional. It’s an essential skill for anyone entering digital forensics or incident response.

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Foremost Forensic Tool: A Beginners Guide

Hello, aspiring Cyber Forensic Investigators. In this article, you will learn about Foremost, a Forensic tool used for file carving. In digital forensics, one of the most common tasks is retrieving deleted or hidden files from storage media. Whether investigators are analyzing a compromised server, a suspect’s hard drive or a damaged USB stick, they often rely on file carving techniques to recover valuable evidence. Among the many tools available, Foremost stands out as a powerful yet simple utility designed for efficient file recovery.

Originally developed by the U.S. Air Force Office of Special Investigations (AFOSI) and the Center for Information Systems Security Studies and Research (CISR), Foremost has evolved into one of the most widely used open-source forensic tools for beginners and professionals alike.

This blogpost will walk you through what Foremost is, why it’s so useful and how to start using it even if you’re brand new to digital forensics.

What is Foremost?

Foremost is a file carving tool which means it recovers files based on known file headers and footers rather than file system metadata. This makes it extremely effective when:

  • The file system is corrupted
  • The partition table is missing
  • Files have been deleted
  • Metadata like filenames or timestamps no longer exist

Foremost searches raw disk images or partitions and extracts files such as:

  • Images (JPG, PNG, GIF, BMP)
  • Documents (PDF, DOC, PPT)
  • Videos (AVI, MP4)
  • Archives (ZIP, RAR)
  • Email files and many more, depending on your configuration

Because Foremost works at the byte level, it is fast, reliable and widely used in forensic investigations and CTF-style challenges.

Installing Foremost

Ubuntu / Debian:

On most Linux systems, Foremost is available in built-in repositories. To install this tool on Ubuntu / Debian, we should use commands shown below.

sudo apt-get update
sudo apt-get install foremost

Fedora:

We can install foremost on Fedora using commands shown below.

sudo dnf install foremost

Kali Linux:

Foremost comes preinstalled on Kali Linux.

How Foremost Works?

Foremost works by scanning for known file signatures using a configuration file (/etc/foremost.conf). This file lists the header and footer patterns for each supported file type. For example, JPEGs are identified by following header and footer.

  • Header: FFD8
  • Footer: FFD9

Foremost scans the entire disk or forensic image file, identifies these patterns and extracts whatever lies between them. This process is fully automated and saves results into organized folders.

Basic Commands for Beginners

Let’s walk through some essential commands you’ll use during your first forensic analysis.

1. Carving all known file types from a disk image:

To carve all known file types from a disk image, we should use the command shown below.

foremost -i disk-image.dd -o output_folder

Explanation:

In the above command,

  • -i specifies the input image
  • -o specifies where results will be stored

Foremost will automatically create subdirectories for each recovered file type.

2. Recovering only specific file types:

You can also recover specific file types using this tool. Let’s say you want to extract only JPEG images, the command is given below.

foremost -i disk-image.dd -o output -t jpg

You can even specify multiple types of images using command shown below.

foremost -i disk-image.dd -o output -t jpg,png,pdf

This is extremely useful when you’re looking for specific evidence, such as illegal images or stolen PDF documents.

3. Saving a detailed audit log:

Foremost automatically generates an “audit.txt” file in your output folder. To view the audit log, we can use command shown below.

cat output/audit.txt

This log contains:

  • Detected file signatures
  • Number of files recovered
  • Carving start and stop time
  • Any errors encountered

This is crucial for forensic report writing.

4. Using a Custom configuration file:

You can modify or create a custom config file to carve rare file types. For example,

foremost -i disk-image.dd -o output -c myconfig.conf

This option is helpful when working with proprietary file formats or adding new signature patterns.

5. Carving files from a raw device (Drive/USB):

We can also carve files from a raw device.

sudo foremost -i /dev/sdb -o usb_recovery

Important:
Never run carving directly on a suspect’s original device. Always work on a forensic image. This command is mainly used for testing or training environments.

When Should You Use Foremost?

Foremost is ideal for:

✔ Recovering deleted files
✔ Extracting evidence from corrupted partitions
✔ File carving during memory forensics (with image dumps)
✔ CTF competitions and capture-the-flag challenges
✔ Beginner-level forensic labs and training

If you’re working with a damaged or heavily modified file system, Foremost is often faster and easier than more complex forensic suites.

Limitations of Foremost

While powerful, Foremost has a few limitations. They are:

  • It cannot recover filenames or folder paths
  • It may produce false positives for file signatures
  • It doesn’t reconstruct fragmented files well
  • It cannot analyze metadata

For advanced analysis, we can pair Foremost with The Sleuth Kit, Autopsy or Volatility.

Conclusion

Foremost is one of the best tools for beginners stepping into the world of digital forensics. Its simple command-line interface, speed and ability to recover a wide range of deleted files make it a go-to utility for investigators, students and hobbyists. With just a few commands, you can start carving files from disk images and uncover hidden or deleted data that may hold crucial evidence. If you’re starting your journey into forensic investigations, Foremost is an essential tool to master. Next, learn about Bulk Extractor.

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Beginners Guide to Bulk Extractor tool

Hello aspiring Cyber Forensic Investigators. In our previous blogpost, you learnt in detail about Computer Forensics. In this article, you will learn about Bulk Extractor, a fast, automated forensic carving tool. Digital forensic investigations often require extracting useful information from massive amounts of data like disk images, memory dumps, captured network traffic and more.

Manually searching through gigabytes (or terabytes) of raw data is impossible and even traditional forensic tools can be slow when scanning large datasets. This is where Bulk Extractor, one of the most efficient open-source forensic tools becomes incredibly valuable. Designed for speed and automation, Bulk Extractor scans raw data and extracts important artifacts such as emails, credit card numbers, URLs and phone numbers without needing to parse the file system first.

For beginners looking to learn forensic data carving, Bulk Extractor is an ideal tool. It’s lightweight, fast, easy to use and capable of revealing hidden evidence that might not appear through typical file system analysis. Let’s explore what Bulk Extractor does, why it’s so popular and how you can start using it.

What is Bulk Extractor?

Bulk Extractor is an open-source digital forensic tool developed by Simson Garfinkel. Its purpose is simple:

To extract high-value forensic artifacts from raw data at high speed.

It scans data sector by sector and extracts items such as:

  • Email addresses
  • Phone numbers
  • Social security numbers
  • URLs and domain names
  • Credit card numbers
  • GPS coordinates
  • ZIP files
  • Network addresses (IPv4, IPv6)
  • Package names and keywords

As Bulk Extractor ignores file systems, it can detect:

  • Deleted data
  • Hidden data in unallocated space
  • Fragmented artifacts
  • Carved strings independent of file structure

This makes it incredibly powerful in investigations involving:

  • Fraud and financial crimes
  • Web activity analysis
  • Identity theft
  • Memory forensics
  • Incident response
  • Malware investigations

Installing Bulk Extractor

To install this tool on Ubuntu, Debian or Kali Linux, use commands shown below:

sudo apt update
sudo apt install bulk-extractor

You can verify installation using command shown below.

bulk_extractor -V

Workflow of Bulk Extractor

Bulk Extractor works by scanning input data (such as .dd or .img images) and writing results into output directories known as “feature files.” Here is the simple workflow:

  1. Select data source (raw image or file)
  2. Choose output directory
  3. Run Bulk Extractor
  4. Review extracted feature files
  5. Analyze results using BEViewer (optional GUI)

Let’s walk through some beginner-friendly commands of this tool.

1. Basic command to run Bulk Extractor:

To scan a raw disk image, the command is given below.

bulk_extractor -o output/ image.dd

This command does the following:

  • Processes the image
  • Generates multiple report files
  • Saves them in the output directory

After running this tool, look inside the output/ folder. You will find files like:

  • email.txt
  • url.txt
  • ccn.txt (credit card numbers)
  • json.txt
  • domain.txt
  • telephone.txt
  • ip.txt
  • wordlist.txt
  • hash.txt

Each file contains extracted artifacts in plain text format which are easy to read and analyze.

2. Run Bulk Extractor with all scanners enabled:

When you run this tool in default mode as shown above, some scanners are disabled by default. To use all scanners of this tool, run the command shown below.

bulk_extractor -S all -o output/ image.dd

-S all activates all scanners shown below.

  • PDF scanner
  • GPS scanner
  • ZIP scanner
  • Network packet scanner
  • EXIF scanner
  • Base64 decoder

Obviously, this way of scanning produces even more valuable results.

3. Specifying a particular scanner:

You can also specify a particular scanner to run. For example, if you want to only retrieve emails, the command is given below.

bulk_extractor -e email -o output/ image.dd

Similarly, if you want to extract URLs, the command is given below.

bulk_extractor -e url -o output/ image.dd

If you want to extract credit card numbers:

bulk_extractor -e ccn -o output/ image.dd

This focused approach speeds up analysis and at the same time reduces noise.

4. Run Bulk Extractor on a Memory Dump

Bulk Extractor also works extremely well on rerieving information from RAM captures, like the ones obtained with tools like Volatility etc.

bulk_extractor -o mem_output/ memdump.raw

This can reveal information like:

  • Chat sessions
  • Browser artifacts
  • Credentials
  • Temporary files
  • Network activity

5. Viewing Results Using BEViewer GUI:

Bulk Extractor also provides a way to view results in graphical format with the help of GUI viewer known as BEViewer. To install BEViewer, use command shown below.

sudo apt install bulk-extractor-viewer

You can run BEViewer using command shown below.

beviewer

With BEViewer, you can:

  • Visualize extracted artifacts
  • Navigate through offsets
  • Jump directly to locations inside the raw image

This is extremely helpful for beginners.

6. Advanced Usage: Recursive Scanning

Using this tool, we can even enable recursive analysis inside compressed files (ZIP, GZIP, PDF). This can be done using command shown below.

bulk_extractor -R -o output/ image.dd

This extracts buried evidence from archives.

Why Investigators Love Bulk Extractor?

1. It is extremely fast

Bulk Extractor can process large images faster than most forensic suites.

2. It doesn’t require file system to work

One of the great features of this tool is that it doesn’t require any file system to work. It can work on damaged, incomplete or even partially corrupted images.

3. It is beginner-friendly

This tool has simple commands, easy output files and automated scanning which makes it very beginner-friendly.

4. Great for triaging

It quickly identifies whether deeper forensic work is needed.

5. Works on any data

This tool works on any type of data like from disk images, memory dumps, network captures or even single files.

Conclusion

This is one of the most useful tools for forensic beginners. Its speed, simplicity and ability to extract valuable artifacts from any kind of data make it indispensable for digital investigations. With just a few commands, investigators can uncover emails, URLs, credit card numbers and dozens of other forensic artifacts hidden anywhere in a disk image or memory dump.

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Volatility: A Beginner’s guide to Memory Forensics

Hello, aspiring Cyber Forensic Investigators. In our previous blogpost on Computer Forensics, you learnt about different types of forensics. In this article, you will learn about Volatility, a memory forensics tool. In modern digital forensics and incident response, analyzing volatile memory (RAM) has become just as important as examining hard drives to detect malware, running processes, encryption keys, open network connections etc. However, In-memory (RAM) artifacts often disappear the moment a system is powered off. This is where Volatility, the most widely used open-source memory forensics framework, becomes indispensable.

Whether you’re investigating malware, analyzing a compromised system or learning how attackers hide in memory, Volatility provides deep visibility into live system activity. In this beginners guide, we’ll explore what Volatility is, why it matters and how to start using it with practical commands that you can try in your forensic lab.

What is Volatility?

Volatility is an open-source memory forensics toolkit used to analyze RAM captures from Windows, Linux, macOS and Android systems. It allows cyber forensics investigators to extract information like,

  • Running processes
  • Loaded DLLs
  • Network connections
  • Registry hives
  • Command history
  • Browser artifacts
  • Malware including rootkits
  • Kernel modules
  • Encryption keys
  • Hidden or injected code

Volatility works with many memory image formats that include:

  • Raw (.dd, .img)
  • EWF (E01)
  • Lime
  • Crash dumps
  • Hibernation files

Volatility is widely used by SOC teams, IR analysts, DFIR experts and forensic students because it exposes what was actually happening on a live machine even after the system is turned off.

Installing Volatility

Most forensic Linux distros include Volatility by default, but you can install it on Ubuntu/Kali with:

sudo apt update
sudo apt install volatility

Or for Volatility 3 (newer version):

pip install volatility3

For beginners, using Volatility 2 is easier due to its extensive plugin support.

Step-by-step guide for beginners

Let’s walk you through a step-by-setp guide for beginners to use this tool.

STEP 1: Identify the Image Profile

Before Volatility can start analyzing RAM, it needs to know the OS version and architecture running on target system. This can be detected using the command shown below.

volatility -f memory.img imageinfo

This output suggests profiles as given below:

Win7SP1x64
Win10x64

Pick the closest match from the output and use it while using all further commands.

STEP 2: List Running Processes

One of the first steps in memory forensics is to view what processes were active. The command shown below will reveal that information to us.

volatility -f memory.img --profile=Win7SP1x64 pslist

It will reveal information like:

  • Process IDs
  • Parent processes
  • Timestamps

You can spot suspicious processes such as “cmd.exe” running under “explorer.exe”.

To identify hidden/unlinked processes, we should use command shown below.

volatility -f memory.img --profile=Win7SP1x64 psscan

If “psscan” finds a process missing from “pslist”, it may indicate malware or rootkit activity.

STEP 3: List Loaded DLLs

Malware often loads suspicious DLLs. These can be detected using Volatility as shown below.

volatility -f memory.img --profile=Win7SP1x64 dlllist

You should be looking for DLLs:

  • Loaded from unusual directories
  • With random names
  • Not signed by known vendors

STEP 4: Check Network Connections

Network activity in RAM is also extremely valuable for incident response. To view the active network connections, use command shown below.

volatility -f memory.img --profile=Win7SP1x64 netscan

Using the above command, you can identify:

  • External IP addresses the machine communicated with
  • Ports used for C2 (Command & Control)
  • Suspicious outbound connections

STEP 5: Extract Command History

Attackers frequently use PowerShell, cmd.exe or bash while hacking. We can use Volatility to recover parts of the command history.

For Windows CMD:

volatility -f memory.img --profile=Win7SP1x64 cmdscan

For consoles created by applications:

volatility -f memory.img --profile=Win7SP1x64 consoles

For PowerShell commands (Volatility 3 plugin):

volatility3 -f memory.img windows.shellbags

STEP 6: Dump a Process

Dumping a process helps us in malware analysis. First, dentify the PID of a suspicious process using “pslist” command and then dump it using command shown below.

volatility -f memory.img --profile=Win7SP1x64 procdump -p 1234 -D output/

You can then analyze the dumped file with tools like:

  • Strings
  • YARA
  • Static AV engines
  • Other reverse engineering tools

STEP 7: Extract Browser Artifacts

Volatility can also extract browsing history, cookies and even parts of open web sessions. For example, you want to extract browsing history, you can use command:

volatility -f memory.img --profile=Win7SP1x64 iehistory

For browsing history in Chrome (Volatility 3 plugin):

volatility3 -f memory.img windows.chromehistory

Importance of Volatility

1. Provides visibility unavailable in disk forensics

RAM contains live system data that never touches the disk. So attackers often execute their malicious code in RAM to stay undetected. Volatility provides visibility to this information.

2. Excellent for malware and rootkit investigations

Even the most stealthy malware typically leaves traces in memory. So, this tool plays a role here too.

3. Cross-platform support

Volatility supports RAM capture on Windows, Linux, macOS and Android.

4. Massive plugin ecosystem

Volatility has hundreds of plugins that allow deep and specialized analysis.

5. Open-source and trusted in DFIR

It is open-source and used by government agencies, SOC teams and forensic labs worldwide.

Conclusion

Volatility is one of the most important tools in the world of digital forensics and incident response. For beginners, it offers a hands-on way to learn how processes, DLLs, memory structures and malware operate behind the scenes. By mastering simple commands like “pslist”, “netscan”, “dlllist, and “procdump”, you gain a powerful skill set that can help uncover intrusions and understand attacker behavior. Whether you’re a student, a threat hunter or an aspiring DFIR analyst, Volatility is a tool you’ll use throughout your career.

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Beginners guide to Sleuth Kit

Hello, aspiring Cyber Forensic Investigators. In our previous blogpost, you learnt about Computer Forensics. In this article, you will learn about Sleuth Kit, a tool that plays an important role in Open-Source Forensics. In the world of digital forensics, few tools are as powerful, dependable and widely used as The Sleuth Kit (TSK). Whether you’re analyzing deleted files, investigating compromised systems or learning forensic fundamentals, TSK provides a complete set of command-line tools that let investigators examine disk images at a deep, forensic level.

TSK is the main engine behind the popular Autopsy GUI, but even on its own, it’s a fast, flexible and scriptable toolkit preferred by many forensic analysts. For beginners learning how file systems work under the hood, The Sleuth Kit is an excellent starting point. This blogpost introduces TSK’s core capabilities, explains its workflow and provides beginner-friendly commands you can try in your own forensic lab.

What is The Sleuth Kit?

The Sleuth Kit is an open-source collection of command-line forensic tools used to analyze:

  • Disk images
  • File systems
  • Deleted files
  • File metadata
  • Partition structures
  • Timelines and artifacts

It supports major file systems such as:

  • FAT
  • NTFS
  • EXT (2, 3, 4)
  • HFS+
  • UFS

TSK is commonly used for:

As Sleuth Kit is CLI-based, investigators can automate workflows, integrate TSK into scripts and even perform extremely detailed low-level analysis.

Installing Sleuth Kit

On Ubuntu, Debian or Kali Linux, Sleuth Kit can be installed using commands shown below.

sudo apt update
sudo apt install sleuthkit

You can verify its successful installation using command shown below.

tsk_recover -V

Basic Workflow of TSK

TSK provides multiple tools for each stage of forensic analysis. For beginners, the workflow generally looks like this:

  1. Identifying partitions
  2. Inspecting File Systems
  3. Listing files and directories
  4. Extracting or recovering files
  5. Building timeline for analysis

Let’s learn about each of these steps using actual commands.

STEP 1: Identifying Partitions

To view a disk image’s partition layout, use command:

mmls image.dd

This command displays:

  • Partition types
  • Start and end sectors
  • Offsets needed for further analysis

Example output:

DOS Partition Table
Slot    Start       End        Length      Description
00:     0000000000  0000204799 204800      NTFS Boot
01:     0000204800  1000000000 ...         NTFS Partition

Alwyas keep the Start sector handy, you’ll use it while running other commands.

STEP 2: Inspecting the File System

To get information like file system metadata (like block sizes and type), we can use the command shown below.

fsstat -o 204800 image.dd

where “-o” means offset, in sectors (from the mmls output).

This command helps you verify you’re examining the correct partition.

STEP 3: Listing Files and Directories

To view contents of the directory (NTFS example), you should use command shown below.

fls -o 204800 image.dd

If you want to view this information with detailed metadata, use command shown below.

fls -r -o 204800 image.dd

Where “-r” stands for recursive, showing all subdirectories.

Here’s an example output for this command:

d/d 4: $AttrDef
r/r 5: bootmgr
d/d 6: Users

STEP 4: Extracting or recovering files

Let’s say you identify a file with inode number 128-32. You can recover it using command shown below.

icat -o 204800 image.dd 128-32 > recovered-file.txt

Where “-icat” extracts the raw content of a file from the disk image. This is especially useful for deleted files that don’t appear in the directory listing. You can also recover all files from the partition instead of recovering single files. For this, you can use command:

tsk_recover -o 204800 image.dd output_directory/

This command extracts:

  • Existing files
  • Deleted files (if not overwritten)
  • Directory structure

which is great for full-case evidence collection.

STEP 6: Building Timeline for analysis

TSK is famous for its timeline capabilities. First, you need to generate a body file which can be done using command shown below.

fls -m / -r -o 204800 image.dd > bodyfile.txt

Then, use the “mactime” tool to create a readable timeline.

mactime -b bodyfile.txt > timeline.csv

on opening the timeline.csv file, you can see:

  • File creation times
  • File modification times
  • Access timestamps etc

How to Recover Deleted Files?

You can easily identify deleted files with TSK using command shown below.

fls -o 204800 image.dd | grep deleted

Then, you can extract these files with “icat” just like normal files. Here is an example of Deleted file metadata (NTFS example).

istat -o 204800 image.dd 128-32

This command will display timestamps, file flags and cluster allocations.

Why Investigators Prefer Sleuth Kit?

There are many reasons investigators prefer Sleuth Kit in their investigation. Some of them are,

1. Deep, low -level access:

Using Sleuth Kit, you can inspect raw file system structures, something most GUI tools often hide.

2. Ability to Automate:

Sleuth Kit gives you ability to automate which is perfect for forensic scripts, training labs and large cases.

3. Trustworthy and Open-Source:

Its is open-source and is trusted by law enforcement, academia and corporate IR teams worldwide.

4. Works with any disk image format:

Sleuth Kit works with any disk image format like E01, dd, raw or partition dumps.

Conclusion

The Sleuth Kit is one of the most important tools in digital forensics. For beginners, it offers hands-on insights into how file systems work, how data is stored and how deleted files can still be recovered. Whether you’re analyzing a compromised system or building your first forensic lab, mastering TSK is a key step toward becoming a skilled digital forensic analyst. Don’t like CLI? Learn about its GUI alternative, Autopsy.