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Vulns managment

Here are some scripts that can be used for offline vulnerability discovery and management based on a list of known CPEs.

This project consists in retrieving a complete lists of software CPEs, searching for vulnerabilities compatible with one of them, then search if the customer has the affected cpe. If this occurs, the client and the vulnerabilty are memorized in a database table.

Specifications

Those scripts are made for working with a database, wich contains the following tables:

  • customer : pretty basic, must be implemented by user
  • cpearchive: it stores the list of known cpes
  • customers_cpe: associates a customer with a specific cpe, maintained by the user
  • cves: the list of vulnerabilites
  • clientscve: it associates a customer, a cpe and its vulnerability

The project is composed by four scripts:

  • VulnSaver.py : a script to save discovered vulnerabilities into a database
    • the script uses the [nist]'s (https://nvd.nist.gov/) api
    • for space issues, the list of vulnerabilities is limited to those of yesterday
    • the vulnerability database api documentation can be found here
    • usage: VulnSaver.py
  • flaskAPI.py : A simple API that facilitates the maintenance of the customers_cpe table
    • it works via GET requests
    • it inserts the customer id (customerId) and the cpe id (cpeId) in the customers_cpe table
    • the script must be deployed into a web server
  • CpeArchiver.py: a tool to store every CPE found in a xml file into a database
    • usage: CpeArchiver.py filename.xml
    • the xml file for the cpes dictionary (better use format 2.3) can be downloaded here
  • VulnNotifier.py: a tool to notify if a client has a cpe with an associated vulnerability
    • usage: VulnNotifier.py

Required Modules

The module used in this project are the following:

  • cpe
  • psycopg2
  • flask

The modules installation can be done executing sudo sh setup/install-dependencies.sh

Suggestion

It would be useful to automate the scripts' execution to improve efficiency.

Another (obvious) suggestion is using the whole project in a linux environment.