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Cuckoo Sandbox is an open-source project that allows you to run malware samples on safe virtual machines, and then analyze and report on how the malware behaved in the virtual sandbox without the threat of the malware infecting your real machine. The application is written in Python, and Cuckoo Sandbox also offers a REST API . This allows a programmer using any language to fully automate many of Cuckoo's features, such as running sandboxes, running malware, and receiving reports. In this section, we'll do all of this using easy-to-use C# libraries and classes. However, there's a lot of work to do, such as setting up a virtual environment to use Cuckoo , before we can start testing and running malware samples using C#. You can find more information and download Cuckoo Sandbox at https://www.cuckoosandbox.org/.

Setting up the Cuckoo Sandbox

In this section, we will not cover setting up Cuckoo Sandbox as the instructions can vary greatly between operating systems and depending on which version of Windows you use as your VM sandbox. This section assumes that you have properly set up Cuckoo Sandbox with a Windows guest and that Cuckoo is fully functional. Be sure to follow the instructions on the main Cuckoo Sandbox website (https://cuckoo.readthedocs.io/en/latest/) for up-to-date and detailed documentation on installing and configuring the software.
In the conf/cuckoo.conf file that comes with Cuckoo Sandbox , I recommend changing the default timeout configuration to be shorter (I set it to 15 seconds) before you start working with the API . This will make testing easier and faster. In your cuckoo.conf file, you will see a section at the bottom that looks like the listing below.

The default timeout configuration section in cuckoo .conf

The default timeout for Cuckoo testing is set to 120 seconds [1] . A large timeout may make you impatient to see if you have fixed the problem while debugging since you will have to wait for the timeout to expire before the report is ready, but setting this value between 15 and 30 seconds should be useful for our target system.

Launching the Cuckoo Sandbox API manually.

Like Nessus, Cuckoo Sandbox uses the REST pattern (if you need a refresher, see the description of REST in section 5). However, the Cuckoo Sandbox API is much simpler than the Nessus API, as we only need to interact with a couple of API endpoints. To do this, we will continue to use the session/manager pattern and first implement the CuckooSession class, which defines how we will interact with the Cuckoo Sandbox API. However, let's check that you have configured Cuckoo Sandbox correctly before we start writing code.

Launching API

Once Cuckoo Sandbox is installed, you can run it locally using the ./cuckoo.py command, as shown in the listing below. If you get an error message, make sure the virtual machine you are using for testing is running.

A successful startup of Cuckoo should result in a fun ASCII art banner appearing, followed by some quick information lines about how many VMs have been booted. Once the main script has started, Cuckoo needs to start the API that we will be talking to. Both of these Python scripts need to be running at the same time! The cuckoo.py Python script is the engine of Cuckoo Sandbox . If we run the api.py script without running the cuckoo.py script, as shown in the listing below, our API requests will do nothing. In order for us to use Cuckoo Sandbox from the API , both cuckoo.py and api.py need to be running . By default, the Cuckoo Sandbox API listens on port 8090 , as shown in the listing below.

To specify the IP address to listen on (the default is localhost ), you can pass the -H argument to the utils/api.py script , which tells the API the IP address to use when listening for API requests . In this case, we've set 0.0.0.0 as the listening IP , which means all network interfaces (both internal and external system IPs ) will have port 8090 available for communication, since we're using the default port. The URL that the Cuckoo API is listening on is also printed to the screen after startup. This URL allows us to interact with the API to manage Cuckoo Sandbox in the rest of this section.

Checking Cuckoo's Status

We can test the API to make sure it's set up correctly using the Curl command-line tool , just as we did in previous sections for other APIs . Later in this section, we make similar API requests to create a task, watch it run until it completes, and create a file report to see how it behaved when it ran. But first, the listing below shows how to use Curl to retrieve Cuckoo Sandbox state information in JSON format using the HTTP API .

Using curl to retrieve the Cuckoo Sandbox status via the HTTP API

The status information is quite useful and details many aspects of the Cuckoo Sandbox system. Of note is the aggregated task information [2] , which includes the number of tasks that Cuckoo has started or is running , along with their status. A task could be parsing a running file or opening a web page with a URL , although in this section we'll only look at submitting a file for analysis. You can also see the number of VMs available for analysis [1] , and the current version of Cuckoo [3] .
Great, the API is up and running! We'll use this same status API endpoint later to test our code as we write it, and to discuss the JSON it returns in more detail . For now, we just need to confirm that the API is up and running.

That’s all. Have a nice day, everyone!

❤️ If you liked the article, like and subscribe to my channel “Codelivly”.

👍 If you have any questions or if I would like to discuss the described hacking tools in more detail, then write in the comments. Your opinion is very important to me!

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