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File and Artifact Recovery

Lesson 13/47 | Study Time: 20 Min

File and artifact recovery is a core activity in computer and cyber forensics, focused on retrieving deleted, hidden, corrupted, or partially overwritten data in a way that preserves evidential value. It bridges the gap between what the operating system can still “see” and what still physically exists on storage media, enabling investigators to reconstruct user actions and attacker activity even after attempted cleanup.

Foundations of File and Artifact Recovery

When a file is “deleted,” most file systems remove or update metadata (such as directory entries or allocation tables) rather than immediately wiping the underlying data blocks.

The data often remains in unallocated space, slack space, or residual structures until overwritten, creating an opportunity for recovery using forensic tools and methods.

Recovery therefore focuses on working from a forensic image, preserving integrity while examining both logical structures and raw sectors.

Key Evidence Locations on Storage


Different logical areas of a disk provide different recovery opportunities.


1. Allocated space: Active files that may still contain useful artifacts such as logs, configuration, and application data.

2. Unallocated space: Regions marked as free by the file system but still containing remnants of deleted files, often recoverable by carving or signature searching.

3. Slack space: The gap between a file’s logical end and the end of its cluster, which may hold fragments of previously stored data.

4. File system metadata: Tables, journals, and change logs (such as MFT records or journals) that reference deleted or moved files even when content appears gone.

​Core Recovery Techniques

The following points explain the major approaches used to retrieve files and artifacts.


1. Logical recovery: Logical recovery works through the file system to restore files whose metadata entries still exist but are marked deleted or inaccessible. Many forensic suites can quickly list and restore such items, including directory structures and attributes.

2. File carving and data carving: File carving searches raw disk or image data for known file signatures (headers and footers) and reconstructs files without relying on file system metadata.


Signature-based carving looks for patterns such as JPEG, PDF, or DOCX signatures.

Structure-based and content-based carving use internal file structure or content markers to rebuild fragmented or partially overwritten files.

Data carving generalizes this approach to any data type, including logs or proprietary formats, by focusing on patterns rather than formal file boundaries.


3. Metadata‑based recovery: It uses remaining file system records (e.g., NTFS MFT entries or ext4 inodes) to reconstruct filenames, paths, timestamps, and sometimes partial content, even when directory entries are removed. This provides context—who created what, when, and where—even if the full file body cannot be restored.

4. Disk imaging and cloning as a prerequisite: Forensic imaging creates a bit‑for‑bit copy of a device, including allocated, unallocated, and hidden areas. This copy is used for all recovery work, ensuring the original media is preserved for verification and legal purposes. Disk cloning is used for failing or damaged drives, allowing recovery attempts on the clone rather than risking further degradation of the source.

Tools and Practical Approaches

Here are some common tools and how they are typically applied in practice. Widely used forensic tools integrate multiple recovery methods in a single environment:


1. FTK Imager can create forensic images, preview file systems, and recover deleted files using both logical and low‑level views.

2. Autopsy offers file system analysis, keyword search, timeline construction, and recovery of deleted items from unallocated space.

3. PhotoRec focuses on file carving from damaged, formatted, or corrupted media by bypassing the file system and scanning raw data for signatures.

For challenging scenarios—such as damaged devices, corrupted file systems, or partially overwritten data—specialized techniques are used:


4. Imaging failing drives as early as possible to capture maximum remaining data.

5. Manual hex analysis to locate and reconstruct critical fragments when automated tools fail.

6. Combining several tools and approaches (metadata recovery plus carving) to cross‑validate results and fill gaps.

Challenges, Limitations, and Best Practices

Recovery is constrained by overwriting, TRIM operations on SSDs, strong encryption, or severe physical damage. Once sectors are fully overwritten, prior data is generally unrecoverable with standard forensic means. SSDs present additional difficulty because wear‑leveling and TRIM can erase deleted content proactively, reducing opportunities in unallocated space.

In modern investigations, file and artifact recovery not only provides content (such as documents or media) but also contextual traces, file paths, timestamps, and fragments that support timelines, attribution, and reconstruction of attacker behavior.

Alexander Cruise

Alexander Cruise

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Class Sessions

1- Evolution of Digital Crime and Cyber Forensics 2- Key Terminology and Scope 3- Digital Evidence Lifecycle and Forensic Principles 4- Legal, Regulatory, and Standards Context 5- Roles and Career Paths in Computer and Cyber Forensics 6- Structured Digital Investigation Methodologies 7- Scoping and Planning an Investigation 8- Evidence Sources in Enterprise Environments 9- Documentation, Case Notes, and Evidence Tracking 10- Working with Multidisciplinary Teams 11- Computer and Storage Architecture for Investigators 12- File System Structures and Artifacts 13- File and Artifact Recovery 14- Common User-Activity Artifacts 15- Principles of Forensically Sound Acquisition 16- Acquisition Strategies 17- Volatile vs Non-Volatile Data Acquisition 18- Handling Encrypted and Locked Systems 19- Evidence Handling, Transport, and Storage 20- Windows Forensics Essentials 21- Linux and Unix-Like System Forensics 22- macOS and Modern Desktop Environments 23- Memory Forensics Concepts 24- Timeline Construction Using OS and Memory Artifacts 25- Network Forensics Fundamentals 26- Enterprise Logging and Telemetry 27- Cloud Forensics (IaaS, PaaS, SaaS) 28- Email and Messaging Investigations 29- Timeline Building from Heterogeneous Logs 30- Modern Malware and Ransomware Landscape 31- Malware Forensics Concepts 32- Host-Level Artifacts of Compromise 33- Ransomware Incident Artifacts 34- Dark Web and Anonymous Network Forensics 35- Common Anti-Forensics Techniques 36- Detection of Anti-Forensics 37- Countering Anti-Forensics 38- Resilient Evidence Collection Strategies 39- Incident Response Frameworks and Phases 40- Forensics-Driven Incident Response 41- Threat Hunting Linked with Forensics 42- Post-Incident Activities 43- Forensic Report Structure 44- Writing for Multiple Audiences 45- Presenting and Defending Findings 46- Ethics, Confidentiality, and Professional Conduct 47- Continuous Learning and Certification Pathways