Granted Patent B2

US 11,483,332 · App. 16/890,745 · Granted Oct 25, 2022

Inventors: Jason Crabtree (Vienna, VA); Andrew Sellers (Monument, CO)

Assignee: QOMPLX, INC.

H04L63/1433G06F11/3006G06F11/3495G06Q40/08H04L63/1408G06F11/3089G06Q50/01

Abstract

Claims (34)

1. A system for comprehensive cybersecurity analysis and rating based on heterogeneous data and reconnaissance, comprising:

a computing device comprising a hardware memory, a hardware processor, and a network interface device; and

a high volume web crawler comprising a first plurality of programming instructions stored in the memory of, and operating on the processor of, the computing device, wherein the first plurality of programming instructions, when operating on the processor, causes the computing device to obtain information from the Internet as directed by an automated planning service module;

an automated planning service module, comprising a second plurality of programming instructions stored in the memory of, and operating on the processor of, the computing device, wherein the second plurality of programming instructions, when operating on the processor, causes the computing device to:

establish a scope of cybersecurity analysis by:

defining a target network by identifying internet protocol addresses and subdomains of the target network;

identifying web applications used by the target network; and

gathering version and update information for hardware and software systems within the boundary of the target network; and

perform reconnaissance of the target network according to the established scope by:

verifying domain name system information for each internet protocol address and subdomain of the target network to confirm ownership and extent of the target network, and assigning an Internet reconnaissance score based on the confirmation;

collecting domain name system leak information by identifying improper network configurations in the internet protocol addresses and subdomains of the target network, and assigning a domain name system leak information score;

analyzing web applications used by the target network to identify vulnerabilities in the web applications that could allow unauthorized access to the target network, and assigning a web application security score based on the identified vulnerabilities; and

checking version and update information for the hardware and software systems within the boundary of the target network, and assigning a patching frequency score; and

a cybersecurity scoring engine comprising a third plurality of programming instructions stored in the memory of, and operating on the processor of, the computing device, wherein the third plurality of programming instructions, when operating on the processor, cause the computing device to:

generate a weighted cybersecurity rating by:

assigning a weight to each of the Internet reconnaissance score, the domain name system leak information score, the web application security score, the patching frequency score;

aggregating the weighted scores into the weighted cybersecurity rating; and

reporting the weighted cybersecurity rating.

2. The system of claim 1 , further comprising a task scheduling engine comprising a fourth plurality of programming instructions stored in the memory of, and operating on the processor of, the computing device, wherein the fourth plurality of programming instructions, when operating on the processor, cause the computing device to schedule computer tasks and programs to run at certain intervals.

3. A method for comprehensive cybersecurity analysis and rating based on heterogeneous data and reconnaissance, comprising the following steps:

establishing a scope of cybersecurity analysis using a high volume web crawler directed by an automated planning service module, the establishment of the scope of cybersecurity analysis comprising the following steps:

defining a target network by identifying internet protocol addresses and subdomains of the target network;

identifying web applications used by the target network; and

gathering version and update information for hardware and software systems within the boundary of the target network; and

performing reconnaissance of the target network according to the established scope using a high volume web crawler directed by an automated planning service module, the reconnaissance comprising the following steps:

verifying domain name system information for each internet protocol address and subdomain of the target network to confirm ownership and extent of the target network, and assigning an Internet reconnaissance score based on the confirmation;

collecting domain name system leak information by identifying improper network configurations in the internet protocol addresses and subdomains of the target network, and assigning a domain name system leak information score;

analyzing web applications used by the target network to identify vulnerabilities in the web applications that could allow unauthorized access to the target network, and assigning a web application security score based on the identified vulnerabilities; and

checking version and update information for the hardware and software systems within the boundary of the target network, and assigning a patching frequency score; and

generating a weighted cybersecurity rating using a cybersecurity scoring engine, the generation of the weighted cybersecurity rating comprising the following steps:

assigning a weight to each of the Internet reconnaissance score, the domain name system leak information score, the web application security score, and the patching frequency score; and

aggregating the weighted scores into the weighted cybersecurity rating; and

reporting the weighted cybersecurity rating.

4. The method of claim 3 , further comprising the step of scheduling computer tasks and programs to run at certain intervals.

Assignments (8)

Cited By (2)

US 12,549,573 US 12,684,001