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CAPE Sandbox

CAPE Sandbox is a free, open-source malware analysis tool that runs suspicious files in isolated virtual machines while recording behavior and forensic artif…

Place
#3 of 27
Score
7.4

What CAPE Sandbox is

CAPE Sandbox is a free, open-source malware analysis tool that runs suspicious files in isolated virtual machines while recording behavior and forensic artifacts. It can capture execution activity, changed or created files, PCAP network traffic, screenshots, and memory dumps. CAPE also performs dynamic unpacking, uses YARA to classify unpacked payloads, and extracts malware configurations through static and dynamic analysis. Documented targets include Windows executables and DLLs, PDFs, Office files, URLs, HTML, scripts, ZIP archives, and Java JARs. Its Django web interface supports file submission, report browsing, and result searches; a REST API and Python functions support automated file and URL analysis. The debugger can use YARA signatures for custom unpacking and configuration extraction, countering anti-sandbox measures, and tracing instructions. Setup requires host and guest machines. GNU/Linux, preferably Ubuntu LTS, is the recommended host, and Windows 10 or Windows 11 23H2 is the recommended guest. The software is self-hosted and distributed without warranty; users are responsible for its use.

Good

  • Captures behavior, files, traffic, screenshots, and memory
  • Supports dynamic unpacking and YARA-based classification
  • Offers a web interface, REST API, and Python functions
  • Supports analysis of files and URLs

Watch out

  • Requires host and guest machines
  • Changing setup-script packages can break installation
  • Distributed without warranty

Who it suits

CAPE suits security teams and researchers who need to inspect suspicious files and automate analysis. It requires users to manage a host-and-guest deployment and take responsibility for using the tool.

Verdict

CAPE provides broad malware-analysis and automation capabilities as self-hosted, open-source software. Its virtual-machine setup and lack of warranty are important considerations before deployment.

Plans and prices

From CAPE Sandbox's own pricing page, checked 2 Oct 2026.

All about pricing
PlanPriceWhat it gives you
CAPE SandboxFreeOpen-source software · self-hosted setup
Public demonstration instanceFreeFree online demonstration · account activation via CAPE Sandbox social account

The facts

Each one read from CAPE Sandbox's own pages, with the date it was checked.

What it does

AI clients
The CAPE MCP server connects CAPE instances with MCP-compliant clients, with examples for Claude Desktop, Gemini CLI, and Antigravity.checked 2 Oct 2026
API authentication
The API supports token authentication through the api-token-auth endpoint and Authorization headers.checked 15 Oct 2026
API throttling
The documented default API throttle is five requests per minute and can be changed in api.conf.checked 15 Oct 2026
Architecture
A Linux host manages isolated Windows guest virtual machines for each analysis.checked 15 Oct 2026
Automation
CAPE offers a REST API and Python submission functions for automating file and URL analysis.checked 2 Oct 2026
Behavior monitoring
Windows analysis uses API-hook instrumentation and behavioral signatures.checked 15 Oct 2026
Configuration extraction
Static and dynamic malware configuration extraction is built in, with optional RATDecoders, DC3-MWCP, MalDuck, and MaCo frameworks.checked 15 Oct 2026
Debugger
The debugger supports YARA-triggered breakpoints, instruction traces, memory dumping, and control-flow changes to counter evasion.checked 15 Oct 2026
Deployment
The documented architecture runs each analysis in a fresh isolated virtual machine; GNU/Linux, preferably Ubuntu LTS, is the recommended host, with Windows 10 or Windows 11 23H2 as the recommended guest.checked 2 Oct 2026
Distributed deployment
Master and worker nodes can be distributed through a REST API on port 9003 with X-API-Token authentication.checked 15 Oct 2026
Documentation depth
The documentation covers installation, guests, networking, cloud deployment, API usage, customization, distributed mode, and troubleshooting, while warning that some material may be outdated.checked 15 Oct 2026
Dynamic analysis
It captures behavioral activity, files created or changed during execution, network traffic in PCAP format, screenshots, and memory dumps.checked 2 Oct 2026
Dynamic unpacking
CAPE automatically extracts payloads from techniques including process injection, hollowing, doppelgänging, and in-memory decompression.checked 15 Oct 2026
File artifacts
Analyses record files created, modified, or deleted during execution.checked 15 Oct 2026
Hypervisor extensibility
Custom Python machinery modules can add unsupported virtualization backends; documented options include QEMU/KVM, LXC, Xen, OpenVZ, and VMware.checked 15 Oct 2026
Independent listing
AlternativeTo describes CAPE as free and open source and reported no user comments or reviews on its listing.checked 15 Oct 2026
Input types
Documented analysis targets include Windows executables, DLLs, PDFs, Office files, URLs, HTML, scripts, ZIP files, and Java JARs.checked 2 Oct 2026
Integrations
The documentation covers integrations with Box-js, LibreNMS, and Suricata, and describes CAPE's modular design for integrating external services.checked 2 Oct 2026
Licence
The Cuckoo-derived code is distributed under GNU GPL version 3; bundled components may use other licences.checked 15 Oct 2026
Limit: configuration extraction
A SURICON paper reports that configuration extraction does not work every time and can produce inconsistent results across parser frameworks.checked 15 Oct 2026
Limit: deployment complexity
WorldMetrics says setup and orchestration require platform and infrastructure knowledge, with noisy results unless analysts filter them.checked 15 Oct 2026
Limit: integrations
WorldMetrics notes that detection mapping is limited out of the box and some integrations require external tooling.checked 15 Oct 2026

The company

Company origin
The project history identifies Kevin O’Reilly at Context Information Security as the original CAPE developer.checked 15 Oct 2026
Founded
2016checked 28 Sep 2026
The full review of CAPE Sandbox

CAPE Sandbox is open-source software for analyzing suspicious files in isolated virtual machines and collecting behavioral evidence. It best suits security teams prepared to run and maintain a self-hosted analysis environment. Its breadth of unpacking, forensics, and automation is compelling, but the VM setup and operational responsibility make it a poor fit for those seeking a managed, ready-to-use service.

Overview

CAPE observes files as they execute, recording activity such as changed or created files, network traffic in PCAP format, screenshots, and memory dumps. That combination helps analysts move beyond a simple verdict to inspect what a sample did and preserve material for further investigation.

It is free, open-source, and self-hosted. The tradeoff is substantial: CAPE requires host and guest machines, and its documentation recommends GNU/Linux—preferably Ubuntu LTS—as the host, with Windows 10 or Windows 11 23H2 as the guest. Users take responsibility for deployment and operation, and the software comes without warranty.

Key features

Behavior and payload analysis

CAPE automates dynamic malware unpacking, classifies unpacked payloads with YARA, and extracts malware configurations through static and dynamic analysis. Its debugger can use YARA signatures for custom unpacking and configuration extractors, anti-sandbox countermeasures, and instruction traces. These capabilities offer meaningful flexibility for teams investigating packed or evasive samples, though making use of them calls for security-analysis expertise.

Documented targets include Windows executables, DLLs, PDFs, Office files, URLs, HTML, scripts, ZIP files, and Java JARs. The breadth is useful for mixed sample queues, rather than limiting analysis to one file family.

Interface and automation

A Django web interface supports submissions, report browsing, and search across analysis results. A REST API and Python submission functions let teams automate file and URL analysis, while integrations documented for Box-js, LibreNMS, and Suricata and a modular design support connection to external services.

The CAPE MCP server connects instances to MCP-compliant clients, with examples for Claude Desktop, Gemini CLI, and Antigravity. Its documented controls include API-token authentication, restricting submitted files to an allowed directory, and disabling selected tools. These provide useful boundaries for client access, but do not remove the need to manage the underlying environment securely.

Pricing

CAPE Sandbox costs nothing as open-source software. There is no paid tier described; the cost is not the whole deployment burden, since users need host and guest machines and must maintain the installation themselves. The installation guide warns that changing packages installed by its setup script can break the KVM/libvirt/CAPE installation, so customizing the host stack carries risk.

Platforms

CAPE supports API, Linux, self-hosted, web, and Windows. Its documented architecture pairs a GNU/Linux host with a Windows guest, so the platform range should not be mistaken for a turnkey hosted service across devices.

Who it's for

CAPE is a strong fit for malware analysts and security teams that want control over a self-hosted sandbox, broad file coverage, forensic outputs, and automation hooks. It is less suitable for individuals or organizations without the infrastructure and operational expertise to manage virtual machines and installation changes. The project points users to its FAQ, community discussion, and GitHub issue tracker; beta and development builds generally do not receive support.

Pros and cons

  • Pro: Detailed behavioral artifacts, including PCAP traffic, screenshots, and memory dumps, support deeper investigation than a bare detection result.
  • Pro: Automated unpacking, YARA-based classification, and configurable debugger capabilities support specialized analysis workflows.
  • Pro: A web interface, REST API, Python submissions, and documented integrations suit teams incorporating analysis into existing processes.
  • Con: Host and guest VMs are required, making setup and maintenance a real prerequisite rather than a minor installation step.
  • Con: Changes to packages installed by the setup script can break the KVM/libvirt/CAPE installation, limiting casual system customization.
  • Con: The software is provided without warranty, and users bear responsibility for its use.

Alternatives

For a wider field of options, browse Malware Analysis Sandboxes.

  • ANY.RUN is worth considering for readers seeking a freemium alternative with a free Community plan and a free trial.
  • ReversingLabs Cloud Sandbox offers a free feature preview capped at five sample uploads per day, with full access at additional cost.
  • Malwagon has a free scan plan capped at three scans per source address per day, with no internet egress and public reports.
  • Retrace offers a free Community plan with a standard execution queue, web interface, basic report export, and unlimited public analyses.
  • Hatching Triage may suit readers seeking volume-based licensing, with packages starting at 500 analyses per day.
  • Hybrid Analysis is a free community service limited to 30 file uploads per month and 100 MB per upload.
  • Trellix Intelligent Sandbox is another option.
  • CrowdStrike Falcon Sandbox is another option.

Verdict

Choose CAPE Sandbox if your team can manage isolated virtual machines and wants an open-source platform combining behavioral evidence, unpacking, and automation. Its main reason to choose is analytical breadth without a software charge; its main reason to look elsewhere is the self-hosted setup and responsibility that come with running it.

Getting started

  1. Open https://capesandbox.com/
  2. Prepare a GNU/Linux host, preferably Ubuntu LTS
  3. Prepare a Windows 10 or Windows 11 23H2 guest
  4. Install CAPE without changing packages installed by its setup script
  5. Use the Django interface, REST API, or Python submission functions to submit files or URLs
  6. Connect supported MCP clients through the CAPE MCP server

Limits worth knowing

The free CAPE Sandbox plan is open-source and self-hosted, so it requires your own host and guest machines. Installation guidance warns that modifying setup-script packages can break the KVM, libvirt, or CAPE installation.

Questions

Is CAPE Sandbox free?

Yes. The CAPE Sandbox plan costs nothing and is open-source software for self-hosted setup.

Which systems does CAPE support?

Listed platforms are API, Linux, self-hosted, web, and Windows. The recommended host is GNU/Linux, preferably Ubuntu LTS, with Windows 10 or Windows 11 23H2 as the recommended guest.

Can CAPE analyze URLs?

Yes. CAPE supports URL analysis through its documented targets and automation interfaces.

Does CAPE provide an API?

Yes. It offers a REST API and Python submission functions for automating file and URL analysis.

What does the MCP server do?

It connects CAPE instances with MCP-compliant clients, with examples for Claude Desktop, Gemini CLI, and Antigravity.

Is CAPE covered by a warranty?

No. CAPE is distributed without warranty, and its documentation places responsibility for use on the user.

Alternatives to CAPE Sandbox

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