Create new modules

Viper in itself is simply a framework, modules are what give it analytical capabilities. We receive and include new modules all the time from contributors, but there are always new features to add. If you have an idea, you should implement a module for it and contribute it back to the community.

The following paragraphs introduce you to the first steps to create a new module.

First steps

First thing first, you need to create your .py script under the modules/ directory: all modules are dynamically loaded by Viper from that folder exclusively. You can create subfolders and place your modules anywhere, Viper will be able to find them.

Any module needs to have some basic attributes that will make it recognizable. It needs to be a Python class inheriting Module, it needs to have a cmd and description attribute and it needs to have a run() function. For example the following would be a valid, although not very useful, Viper module:

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from viper.common.abstracts import Module

class MyModule(Module):
    cmd = 'mycmd'
    description = 'This module does this and that'

    def run(self):
        print("Do something.")

Arguments

When a module is invoked from the Viper shell it can be provided with a number of arguments and options. These should be parsed with the python argparse module as show in the example below.

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from viper.common.abstracts import Module

class MyModule(ModuleName):
    cmd = 'mycmd'
    description = 'This module does this and that'
    authors = ['YourName']

    def __init__(self):
        super(ModuleName, self).__init__()
        self.parser.add_argument('-t', '--this', action='store_true', help='Do This Thing')
        self.parser.add_argument('-b', '--that', action='store_true', help='Do That')

    def run(self):
        if self.args.this:
            print("This is FOO")
        elif self.args.that:
            print("That is FOO")

Accessing the session

In most cases, you will probably want to execute some analysis function on the currently opened file and in order to do so you’ll need to access the session. Sessions are internally made available through a global object called __sessions__, which has the following attributes:

  • __sessions__.current: a Session object for the currently opened file.
  • __sessions__.sessions: the list of all Session objects opened during the current Viper execution.
  • __sessions__.find: a list contains all the results from the last executed find command.

A Session object has the following attributes:

  • Session.id: an incremental ID for the session.
  • Session.created_at: the date and time when the session was opened.
  • Session.file: a File object containing common attributes of the currently opened file (generally speaking, the same information returned by the info command).

Following are the information available on the opened file:

  • __sessions__.current.file.path
  • __sessions__.current.file.name
  • __sessions__.current.file.size
  • __sessions__.current.file.type
  • __sessions__.current.file.mime
  • __sessions__.current.file.md5
  • __sessions__.current.file.sha1
  • __sessions__.current.file.sha256
  • __sessions__.current.file.sha512
  • __sessions__.current.file.crc32
  • __sessions__.current.file.ssdeep
  • __sessions__.current.file.tags

Here is an example:

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from viper.common.abstracts import Module
from viper.core.session import __sessions__

class MyModule(Module):
    cmd = 'mycmd'
    description = 'This module does this and that'

    def run(self):
        # Check if there is an open session.
        if not __sessions__.is_set():
            # No session opened.
            return

        # Print attributes of the opened file.
        print("MD5: " + __sessions__.current.file.md5)

        # Do something to the file.
        do_something(__sessions__.current.file.path)

Accessing the database

In case you’re interested in automatically retreiving all files stored in the local repository or just a subset, you’ll need to access the local database. Viper provides an interface called Database() to be imported from viper.core.database.

You can then use the find() function, specify a key and an optional value and you will obtain a list of objects you can loop through. For example:

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from viper.common.abstracts import Module
from viper.core.database import Database

class MyModule(Module):
    cmd = 'mycmd'
    description = 'This module does this and that'

    def run(self):
        db = Database()
        # Obtain the list of all stored samples.
        samples = db.find(key='all')

        # Obtain the list of all samples matching a tag.
        samples = db.find(key='tag', value='apt')

        # Obtain the list of all samples with notes matching a pattern.
        samples = db.find(key='note', value='maliciousdomain.tld')

        # Loop through results.
        for sample in samples:
            print("Sample " + sample.md5)

Printing results

Viper provides several function to facilitate and standardize the output of your modules. Viper uses a logging function to return the output to the console or web application. The format is self.log('type', "Your Text") and the following types are made available in Viper.

  • info: prints the message with a [*] prefix.
  • warning: prints the message with a yellow [!] prefix.
  • error: prints the message with a red [!] prefix.
  • success: prints the message with a green [+] prefix.
  • item: prints an item from a list.
  • table: prints a table with headers and rows.

You can also easily print tables, such as in the following example:

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from viper.common.abstracts import Module

class MyModule(Module):
    cmd = 'mycmd'
    description = 'This module does this and that'

    def run(self):
        self.log('info', "This is Something")
        self.log('warning', "This is the warning Text")

        # This is the header of the table.
        header = ['Column 1', 'Column 2']
        # These are the rows.
        rows = [
            ['Row 1', 'Row 1'],
            ['Row 2', 'Row 2']
        ]

        self.log('table', dict(header=header, rows=rows))