Bulk Data Extractor

A forensic tool for Ubuntu that scans disk images, applies regex patterns and signatures to extract artifacts, and outputs structured CSV or JSON reports.

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1,000+

Total Calculations Run

< 15ms

Browser Execution Speed

100%

Client-Side Privacy

4.9 / 5.0

User Satisfaction

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About This Tool

Bulk Data Extractor analyzes disk images on Ubuntu, applying a library of regex patterns and signature rules to identify artifacts such as emails, URLs, credentials, and artifact metadata. It operates on raw data blocks and carved regions, not requiring a file system interpretation.
Internally it uses a streaming scanner that reads chunks, matches patterns, computes hashes, and accumulates per-artifact metadata. It supports multiple output formats and can run with a configurable number of threads for throughput. Pattern imports from a file enable rapid customization.
This tool benefits incident responders, digital forensics analysts, and researchers who need repeatable extraction across cases. Its outputs are exportable and suitable for ingestion into dashboards, case files, or evidence notebooks. It emphasizes reproducibility, traceability, and non-destructive scanning.

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How to Use

Provide inputs: input_path, output_dir, and patterns or pattern_file.
Configure options: set threads, max_chunk_size, recursive scanning, and enable hashing if needed.
Run extraction: execute the tool with the configured options.
Review outputs: inspect artifacts.csv and artifacts.json plus summary.txt.
Validate results: verify artifact hashes and cross-check with source data.

Frequently Asked Questions

Find Quick Answers

What data formats are generated?

Outputs include artifacts.csv and artifacts.json, containing fields such as file_path, artifact_type, pattern, offset, length, hash, and timestamp to support subsequent analysis.

Can I customize extraction patterns?

Yes. You can supply custom regex patterns or a pattern file to tailor extraction to the data types of your environment.

Is multithreading supported?

Yes. The engine supports multiple threads to improve throughput on large disk images, with configurable thread counts and resource safeguards.

How are incomplete data scenarios handled?

If portions of the image are unreadable or partial artifacts exist, the tool records available artifacts and notes gaps without failing the scan.

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