IP Library Granted Patent US 10,944,795
Granted Patent B2
US 10,944,795 · App. 16/720,383 · Granted Mar 9, 2021

Rating organization cybersecurity using active and passive external reconnaissance

Inventors: Jason Crabtree (Vienna, VA); Andrew Sellers (Monument, CO)
Assignee: QOMPLX, Inc.
H04L63/20G06F16/2477G06F16/951H04L63/1425H04L63/1441
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Quick Facts
Patent No.
US 10,944,795
App. No.
16/720,383
Granted
Mar 9, 2021
Kind
B2
Abstract

A system for cybersecurity rating using active and passive external reconnaissance, that uses a web crawler that sends message prompts to external hosts and receives responses from external hosts, a time-series data store that produces time-series data from the message responses, and a directed computational graph module that analyzes the time-series data to produce a weighted score representing the overall cybersecurity state of an organization.

Claims (30)

1. An advanced cyber decision platform for external network reconnaissance and cybersecurity rating, the platform comprising:

a computing device comprising a hardware memory and a processor;

a time-series data module comprising a first plurality of programming instructions stored in the hardware memory of, and operating on the processor of, the computing device, wherein the first plurality of programming instructions, when operating on the processor, cause the computing device to:

receive leak information and reconnaissance data about a company from a web crawler;

produce time-series data based on at least a portion of the leak information and reconnaissance data;

a directed computational graph module comprising a second plurality of programming instructions stored in the hardware memory of, and operating on the processor of, the computing device, wherein the second plurality of programming instructions, when operating on the processor, cause the computing device to:

retrieve at least a portion of the time-series data;

receive a directed computational graph representing a workflow for performing a plurality of transformation operations on at least a portion of the time-series data, wherein:

the directed computational graph comprises nodes and edges, the nodes representing the transformation operations and the edges representing message outputs between the nodes; and

each transformation operation sends a message output to subsequent transformation operations; and

produce a weighted score based on at least a portion of the transformation operations, wherein the weighted score represents a risk of external cyber-security threats to the company based on the collected leak information and the reconnaissance data; and

a web crawler comprising a third plurality of programming instructions stored in the hardware 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:

collect leak information about the company from publicly-available records using domain name system entries and internet protocol addresses associated with the company;

use the collected leak information to obtain reconnaissance data for websites and Internet applications used by, or affecting, the company, the reconnaissance data comprising:

identifying portions of each website or application that web crawlers are requested to ignore;

fingerprinting each website or application to identify characteristic patterns or markers that may be used to identify host or application details; and

checking each website's administrative pages to determine if any administrative portals are vulnerable to cyber-attacks; and

provide the collected leak information and the reconnaissance data to the time-series data module.

2. A method for external network reconnaissance and cybersecurity rating, comprising the steps of:

using a web crawler to:

collect leak information about a company from publicly-available records using domain name system entries and internet protocol addresses associated with the company;

use the collected leak information to obtain reconnaissance data for websites and Internet applications used by, or affecting, the company, the reconnaissance data comprising:

identifying portions each website or application that web crawlers are requested to ignore;

fingerprinting each website or application to identify characteristic patterns or markers that may be used to identify host or application details; and

checking each website's administrative pages to determine if any administrative portals are vulnerable to cyber-attacks;

producing, using a time-series data module, time-series data based on at least a portion of the collected leak information and the reconnaissance data;

receive a directed computational graph representing a workflow for performing a plurality of transformation operations on at least a portion of the time-series data, wherein:

the directed computational graph comprises nodes and edges, the nodes representing the transformation operations and the edges representing message outputs between the nodes; and

each transformation operation sends a message output to subsequent transformation operations; and

producing a weighted score based on at least a portion of the transformation operations, wherein the weighted score represents a risk of external cyber-security threats to the company based on the collected leak information and the reconnaissance data.

Assignments (7)
CHANGE OF ADDRESS Recorded Oct 1, 2024
From: QOMPLX LLC
To: QOMPLX LLC
Reel/Frame 069083/0279 →
CHANGE OF NAME Recorded Sep 27, 2023
From: QPX LLC
To: QOMPLX LLC
Reel/Frame 065036/0449 →
CORRECTIVE ASSIGNMENT TO CORRECT THE RECEIVING PARTY PREVIOUSLY RECORDED AT REEL: 064674 FRAME: 0408. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 20, 2023
From: QOMPLX, INC.
To: QPX LLC
Reel/Frame 064966/0863 →
PATENT ASSIGNMENT AGREEMENT TO ASSET PURCHASE AGREEMENT Recorded Aug 23, 2023
From: QOMPLX, INC.
To: QPX, LLC.
Reel/Frame 064674/0407 →
CHANGE OF ADDRESS Recorded Oct 27, 2020
From: QOMPLX, INC.
To: QOMPLX, INC.
Reel/Frame 054298/0094 →
CHANGE OF NAME Recorded Jan 14, 2020
From: FRACTAL INDUSTRIES, INC.
To: QOMPLX, INC.
Reel/Frame 051501/0556 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 28, 2019
From: CRABTREE, JASON; SELLERS, ANDREW
To: FRACTAL INDUSTRIES, INC.
Reel/Frame 051382/0451 →
Continuity (15)
Continuation 15823363 · Nov 27, 2017
Continuation In Part 15725274 · Oct 4, 2017
Continuation In Part 15655113 · Jul 20, 2017
Continuation In Part 15616427 · Jun 7, 2017
Continuation In Part 15237625 · Aug 15, 2016
Continuation In Part 15206195 · Jul 8, 2016
Continuation In Part 15186453 · Jun 18, 2016
Continuation In Part 15166158 · May 26, 2016
Continuation In Part 15141752 · Apr 28, 2016
Continuation In Part 15091563 · Apr 5, 2016
Continuation In Part 14986536 · Dec 31, 2015
Continuation In Part 14925974 · Oct 28, 2015
Continuation In Part 15616427
Continuation In Part 14925974 · Oct 28, 2015
Related Publication 20200259866A1 · Aug 13, 2020
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