Sandbox for malware analysis and red team payload testing
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LitterBox provides a controlled sandbox environment for security professionals to test payloads against detection mechanisms before deployment. It caters to red teams for validating evasion techniques and detection signatures, and to blue teams for malware analysis workflows. The platform offers LLM-assisted analysis capabilities for advanced insights.
How It Works
LitterBox employs a multi-faceted analysis approach, combining static and dynamic techniques. Static analysis includes file identification, entropy analysis, type classification, and metadata preservation, alongside detailed PE file and document analysis. Dynamic analysis operates in file or process modes, monitoring runtime behavior, memory inspection, and detecting stealth techniques like process hollowing. It integrates specialized modules like Doppelganger for process comparison and FuzzyHash for code similarity analysis.
Quick Start & Requirements
pip install -r requirements.txt
.python litterbox.py
. Access is available through a web UI, API, or LLM integration.Highlighted Details
Maintenance & Community
The project acknowledges contributions from Elastic Security, hasherezade, Forrest Orr, rasta-mouse, thefLink, joe-desimone, and dobin. Specific community channels or roadmap details are not explicitly provided in the README.
Licensing & Compatibility
The README does not explicitly state a license. However, the "Security Advisory" section strongly emphasizes "DEVELOPMENT USE ONLY" and "ISOLATION REQUIRED," indicating it is not intended for production or commercial use without significant risk assessment and adherence to legal compliance.
Limitations & Caveats
LitterBox is explicitly stated to be for "DEVELOPMENT USE ONLY" and requires strict isolation. It is not supported on Linux. The security advisory warns of significant security risks for production deployment.
2 months ago
Inactive