LitterBox

LitterBox provides a controlled sandbox environment designed for security professionals to develop and test payloads. This platform allows red teams to test evasion techniques against modern detection techniques, validate detection signatures before field deployment, analyze malware behavior in an isolated environment, keep payloads in-house without exposing them to external security vendors, and ensure payload functionality without triggering production security controls. The platform includes LLM-assisted analysis capabilities through the LitterBoxMCP server, offering advanced analytical insights using natural language processing technology. While designed primarily for red teams, LitterBox can be equally valuable for blue teams by shifting perspective – using the same tools in their malware analysis workflows.

Features

• Controlled sandbox environment for payload testing
• LLM-assisted analysis capabilities
• Advanced static and dynamic analysis engines
• Integrated tools for comprehensive malware analysis
• API and web interface for easy access

MCP Tools

• {'YARA': 'Signature detection engine'}
• {'CheckPlz': 'AV detection testing framework'}
• {'Stringnalyzer': 'Advanced string analysis utility'}
• {'PE-Sieve': 'In-memory malware detection'}
• {'Moneta': 'Memory region IOC analyzer'}

Usage with Different Platforms

Standard operation

bash
python litterbox.py

Diagnostic mode

bash
python litterbox.py --debug

Web UI

Access via browser at `http://127.0.0.1:1337`

API Access

Programmatic integration via Python client

LLM Integration

AI agent interaction through MCP server