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Overview

Malbox is an open-source malware analysis platform that provides security researchers and cybersecurity teams with a powerful, extensible environment for analyzing files and understanding malicious behavior.

Why Malbox

Malbox delivers a modern alternative to existing open-source solutions with enhanced extensibility, streamlined workflows, and superior usability.

Plugin-based Architecture

Extend Malbox’s analysis capabilities through plugins, allowing you to tailor the platform to your specific workflow and requirements.

User-friendly Ecosystem

From installation to configuration, Malbox reduces complexity while preserving advanced capabilities and customization options.

Machinery Flexibility

Deploy on-premise or in the cloud with support for multiple VM providers. Easily extend support through provider and provisioner interfaces.

Well Documented

Comprehensive, up-to-date documentation helps you understand and work effectively with the platform.

Comparisons

Malbox stands alongside other open-source malware analysis platforms, each with distinct strengths and trade-offs.
FeatureMalboxCuckoo SandboxCAPE SandboxDrakvufThorium
ArchitectureHost and guest-based analysis, can include an agent or be agent-lessAgent-based dynamic analysis using guest agents inside VMs, central controller on host OSAgent-based dynamic analysis forked from Cuckoo, extended with automated unpacking and config extractionAgentless, virtualization-based black-box analysis using Xen hypervisor and VM introspectionDistributed, event-driven malware analysis and data generation framework with sandboxed tools and services
Plugin SystemVersioned plugin SDK, exhaustive API and configuration schemesModular components (processing, signatures, reporting) configured via files for extending analysis and reportingEnhanced modular system adding unpacking, payload and config extractors, plus extra signatures and processorsPlugins and extensions written in C/C++ leveraging LibVMI and Xen introspection hooks for new monitoring logicTool- and pipeline-based extensibility via containerized tools and workflows that can be added and shared
ProvidersAny provider that has been implemented with the provider abstraction interfaceUses external hypervisors such as VMware, VirtualBox, KVM and others via drivers like libvirt/pyVmomiInherits Cuckoo’s VM backends (e.g. VMware, VirtualBox, KVM) for guest executionPrimarily runs on Xen; analysis VMs must be Xen guests, with focus on that hypervisor stackRuns tools and sandboxes as Docker containers orchestrated by Kubernetes clusters
Infrastructure as CodePacker and any provisioner that has been implement with the provisioner abstraction interfaceCommonly deployed via scripts and configuration management (e.g. Ansible-based setups exist), but no official IaC framework bundledTypically installed via manual or scripted setups similar to Cuckoo; no dedicated IaC layer in core projectProvides scripted installation and environment setup for Xen, DRAKVUF and DRAKVUF Sandbox componentsUses Kubernetes manifests and Helm-style deployment patterns for scalable, repeatable infrastructure
PerformanceAdaptable to any use-case depending on plugin, provider and provisioner settingsSuitable for small to moderate VM pools; scaling achieved by adding more workers and VMs but constrained by single-controller Python designSimilar performance profile to Cuckoo, with added overhead from unpacking and config extraction but optimized for batch sandbox runsEfficient VM-introspection tracing with low guest footprint; overhead mainly in hypervisor and introspection stackDesigned for high throughput with horizontal scaling, ingesting large volumes of files on Kubernetes and ScyllaDB-like backends
Development StatusActiveArchived (inactive)Actively maintained fork with ongoing rules, extractors and feature updatesActively developed open-source project with regular updates and research useActively developed open-source framework led by CISA and partners
Web InterfaceSvelteKit-based web UIDjango-based web UI for task submission and report browsingDjango-based UI extended with views for payloads, configs and extra artefactsSeparate “DRAKVUF Sandbox” provides a basic React web UI over an API and task queueReact-based web UI with REST APIs exposing search, tagging and workflow control
Configuration ExtractionPlugin dependentLimited built-in dynamic config extraction; some families supported via signatures and scriptsAutomated, detailed configuration and payload extraction pipeline using unpacking, YARA matching and dedicated extractorsEnables config and behaviour recovery via memory dumps, kernel/user-space tracing and VM introspectionAggregates and stores outputs from integrated tools with tagging and search; config extraction depends on connected tools
LicenseGPL v3GPL v3GPL v3GPL v3Apache 2.0