CRXcavator SDKs & Libraries: Official and Community Support (2026)

SDKs overview

CRXcavator, developed by Rapid7, is a security tool designed to analyze the risk and security posture of Chrome browser extensions. It provides a comprehensive risk score, detailed vulnerability reports, and policy enforcement capabilities for extensions deployed within an organization's environment CRXcavator documentation overview. While CRXcavator's primary interface is web-based, enabling security teams to manage and audit extensions through a dashboard, it also supports programmatic interaction for automation and integration into existing security workflows. The platform's architecture allows for data retrieval and submission, facilitating custom integrations for specific use cases.

Unlike some developer-centric APIs that offer extensive SDKs for various languages, CRXcavator's integration model leans towards direct API calls or specialized tools rather than traditional, full-featured SDKs. This approach caters to its target audience of security professionals who often require custom scripts or command-line interfaces for automation tasks. The emphasis is on enabling programmatic access to its core functionalities, such as submitting extensions for analysis, retrieving risk scores, and querying vulnerability data. Developers seeking to integrate CRXcavator into CI/CD pipelines or custom security dashboards can leverage these methods to automate security assessments of browser extensions.

Official SDKs by language

CRXcavator's official support for SDKs is primarily delivered through direct API access and command-line tools, reflecting its focus on security operations and automation. Rapid7 provides documentation for interacting with CRXcavator's underlying API, which can be consumed by any language capable of making HTTP requests Rapid7 CRXcavator API documentation. While there isn't a suite of traditional, language-specific SDKs in the manner of a service like Stripe or Twilio, developers commonly create wrapper scripts or use generic HTTP client libraries to interact with the platform. This allows for flexibility in integration across various programming environments.

The table below summarizes the official methods and common approaches for programmatic interaction with CRXcavator. These methods are designed to facilitate tasks such as automated extension submission, risk assessment retrieval, and integration with broader security orchestration platforms.

Installation

Installing the necessary components for interacting with CRXcavator typically involves setting up a development environment capable of making HTTP requests or utilizing specific Rapid7 CLI tools. Since CRXcavator primarily exposes a RESTful API, the installation process focuses on preparing your programming environment to communicate with this endpoint Mozilla Developer Network's HTTP overview. Below are common installation steps for various approaches.

For Direct API Interaction (e.g., Python)

If you're using Python to interact with the CRXcavator API, the requests library is a common choice for making HTTP calls.

pip install requests

This command installs the requests library, enabling your Python scripts to send HTTP GET, POST, PUT, and DELETE requests to the CRXcavator API endpoints.

For Direct API Interaction (e.g., Node.js)

For Node.js projects, libraries like axios or node-fetch are widely used for HTTP requests.

npm install axios

Or, if you prefer node-fetch (which aligns with the browser's native Fetch API):

npm install node-fetch@2

These commands add the respective HTTP client libraries to your Node.js project, allowing you to programmatically interact with the CRXcavator API.

For Rapid7 Insight Platform CLI Tools

Rapid7 offers a suite of command-line tools for interacting with its Insight Platform, which may include functionality relevant to CRXcavator for some users. Specific installation instructions for these tools are typically found in the Rapid7 documentation.

pip install rapid7_insight_platform_cli

This command is an example for a Python-based CLI tool and might vary based on the specific Rapid7 tool you are trying to install. Always refer to the official Rapid7 documentation for the most accurate and up-to-date installation instructions for their CLI tools Rapid7 documentation for installation.

Quickstart example

This quickstart example demonstrates how to use Python's requests library to interact with a hypothetical CRXcavator API endpoint. This example assumes you have an API key and a specific endpoint for submitting an extension for analysis or retrieving its risk score. Replace placeholder values with your actual API key and endpoint details, which can be found in your CRXcavator account or Rapid7 documentation.

Python Example: Submitting an Extension for Analysis

This Python script outlines how to send a POST request to submit a Chrome extension ID for CRXcavator to analyze. It uses the requests library to handle the HTTP communication, including setting headers for authentication and sending JSON payloads.

import requests
import json

# Replace with your actual CRXcavator API endpoint and API key
API_ENDPOINT = "https://api.rapid7.com/crxcavator/v1/extensions/analyze"
API_KEY = "YOUR_CRXCAVATOR_API_KEY"

# Example Chrome extension ID (e.g., Google Docs Offline)
EXTENSION_ID = "ghbmnkjcnnnfwrnnlhkmwgoypgntkwe7"

headers = {
    "Content-Type": "application/json",
    "X-Api-Key": API_KEY  # Or 'Authorization': 'Bearer YOUR_TOKEN' depending on authentication method
}

payload = {
    "extension_id": EXTENSION_ID
}

try:
    response = requests.post(API_ENDPOINT, headers=headers, data=json.dumps(payload))
    response.raise_for_status()  # Raise an HTTPError for bad responses (4xx or 5xx)

    print(f"Request successful! Status code: {response.status_code}")
    print("Response:")
    print(json.dumps(response.json(), indent=2))

except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err}")  # Python 3.6+
    print(f"Response content: {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")

Python Example: Retrieving an Extension's Risk Score

This example demonstrates a GET request to retrieve the analysis results, including the risk score, for a previously submitted extension. This would typically involve querying an endpoint with the extension's ID.

import requests
import json

# Replace with your actual CRXcavator API endpoint and API key
# This endpoint is hypothetical and should be confirmed with Rapid7 documentation
STATUS_API_ENDPOINT = "https://api.rapid7.com/crxcavator/v1/extensions/status/"
API_KEY = "YOUR_CRXCAVATOR_API_KEY"

# The extension ID you want to check
EXTENSION_ID = "ghbmnkjcnnnfwrnnlhkmwgoypgntkwe7"

headers = {
    "Accept": "application/json",
    "X-Api-Key": API_KEY
}

try:
    response = requests.get(f"{STATUS_API_ENDPOINT}{EXTENSION_ID}", headers=headers)
    response.raise_for_status() # Raise an HTTPError for bad responses (4xx or 5xx)

    print(f"Request successful! Status code: {response.status_code}")
    print("Extension Status and Risk Score:")
    print(json.dumps(response.json(), indent=2))

except requests.exceptions.HTTPError as http_err:
    print(f"HTTP error occurred: {http_err}")
    print(f"Response content: {response.text}")
except Exception as err:
    print(f"Other error occurred: {err}")

Always consult the official Rapid7 CRXcavator API documentation for the exact endpoints, required parameters, and authentication methods, as they may vary.

Community libraries

Given CRXcavator's focus on a web-based interface and direct API interaction for automation, the landscape of community-contributed SDKs or libraries is less extensive compared to platforms with broader developer-facing APIs. However, developers often create custom scripts and utility wrappers in popular languages like Python and Node.js to streamline interactions with the CRXcavator API.

These community efforts typically involve:

• Python Wrappers: Small Python scripts that encapsulate common API calls (e.g., submitting an extension, fetching results) into reusable functions. These often leverage the requests library for HTTP communication.
• PowerShell Scripts: For Windows environments, PowerShell scripts are sometimes used to integrate CRXcavator into existing IT automation and security workflows, especially when interacting with other Rapid7 products or Microsoft ecosystem tools.
• Custom CLI Tools: Developers might build their own command-line tools that simplify submitting multiple extensions or generating custom reports from CRXcavator data.
• Integration with SIEM/SOAR Platforms: Community-driven integrations might exist for Security Information and Event Management (SIEM) or Security Orchestration, Automation, and Response (SOAR) platforms, allowing CRXcavator data to feed into larger security ecosystems. These integrations are often specific to an organization's internal tools and may not be publicly distributed.

While a formal registry of community libraries for CRXcavator specifically is not maintained by Rapid7, open-source platforms like GitHub are common places to find such contributions. Searching for terms like "CRXcavator API Python" or "Rapid7 CRXcavator integration" may yield relevant community projects. Developers are encouraged to review the code and ensure it adheres to security best practices before incorporating it into their environments. The broader Google Developers community often shares insights into Chrome extension security, which can indirectly inform CRXcavator integrations.

For official support and the most current API specifications, always refer to the Rapid7 CRXcavator documentation.