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Test sample detection in a self-hosted sandbox with end-to-end LLM analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LitterBox" yet — see the docs or source repo.
Connect to LitterBox and analyze this internal security test sample in the sandbox. Summarize static traits, behavioral signals, triggered alerts, and provide a detection verdict with improvement suggestions.
A structured analysis report with sample traits, detection results, risk assessment, and rule tuning suggestions.
Use LitterBox to compare these two versions of an internal test sample. Explain changes in behavior, detection hit rate, and alert differences, then output a comparison table.
A clear comparison showing behavioral differences, detection changes, and key conclusions.
Design an automated workflow using LitterBox: ingest a sample, run sandbox checks, extract key metrics, generate a summary, and produce a report template for team review.
An actionable analysis workflow plan with step descriptions, output fields, and report template recommendations.
Let AI safely control real browsers and desktop apps in a sandbox.
Run browser and desktop app tasks safely for AI agents in a sandbox.
Run commands, manage long jobs, and transfer files in AI sandboxes.
Securely equips AI agents with executable tools for commands, search, and file operations.
Analyze files and URLs for malware and return threat intelligence reports.
A sandbox server for testing and debugging MCP tools and interactions.