A tool to quickly gather forensic artifacts from disk images or live systems into lightweight containers for digital forensic triage.
Acquire is a forensic tool that rapidly collects digital forensic artifacts from disk images or live systems and packages them into lightweight containers. It solves the problem of slow forensic triage by automating artifact extraction and minimizing data overhead. The tool integrates with the Dissect framework to read raw disk data directly for efficient collection.
Digital forensic analysts, incident responders, and cybersecurity professionals who need to perform rapid triage on disk images or live systems during investigations.
Developers choose Acquire for its speed in forensic triage, modular artifact collection, and seamless integration with the Dissect framework, which allows raw disk access without relying on the operating system.
acquire is a tool to quickly gather forensic artifacts from disk images or a live system into a lightweight container.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Uses the Dissect framework to read raw disk data directly, bypassing OS file access for faster artifact collection, as highlighted in the README for minimizing overhead.
Collects artifacts based on configurable modules defining filesystem paths or globs, allowing customization and targeted data gathering from the README's module description.
Automatically detects the operating system and tailors artifact collection accordingly, ensuring relevant data is captured without manual configuration per the README.
Offers predefined profiles (full, default, minimal, none) to control collection scope, enabling efficient triage with balanced data volume as specified in the README.
Requires sudo or administrative privileges to read raw disk data, which can be restrictive in locked-down or secure environments, as noted in the README's basic usage instructions.
As part of the Dissect framework, it relies on Python and specific versions, limiting deployment in ecosystems where Python is not preferred or supported, per the requirements section.
Key usage details and advanced features are documented externally, which may hinder quick adoption if the documentation is incomplete or inaccessible, as the README directs users to online docs.