Machine learning service
US-2015379424-A1 · Dec 31, 2015 · US
US12267369B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12267369-B2 |
| Application number | US-202418622996-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 31, 2024 |
| Priority date | Oct 28, 2015 |
| Publication date | Apr 1, 2025 |
| Grant date | Apr 1, 2025 |
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Cybersecurity reconnaissance, analysis, and scoring uses distributed, cloud or edge-based pools of computing services to provide sufficient scalability for analysis of IT/OT networks using only publicly available characterizations. An in-memory associative array manages a queue of configuration and vulnerability search tasks through at least one public-facing proxy network which uses configurable search nodes to approach the target network with search tools in a desired manner to control certain aspects of the search in order to obtain the desired results, especially when target network behavior adjusts based on counterparty characteristics. A data packet modifier reveals IP addresses of threat actors behind port scans and subsequently block the threat actors.
Opening claim text (preview).
What is claimed is: 1. A system for cybersecurity analysis and protection employing a cyber decision platform, comprising one or more computers with executable instructions that, when executed, cause the system to: execute a plurality of Internet search tasks for a domain name comprising searches for, and receipt of search results for, one or more domain name system records; identify Internet protocol addresses associated with the domain name from the one or more domain name system records; execute a first plurality of Internet protocol address scanning tasks comprising an open port scan for each Internet protocol address identified and a vulnerability scan for each open port; receive a list of open ports, associated vulnerabilities, and a baseline and service fingerprint profile for the domain name; execute a second plurality of Internet protocol address scanning tasks comprising a port scan detection task for each Internet protocol address identified; and store the received search results and the results of the first and second pluralities of Internet protocol address scanning tasks; receive a cybersecurity scoring model, the cybersecurity scoring model comprising category weights for the one or more domain name system records, the list of open ports, and associated vulnerabilities and further comprising an algorithm for combining the categories using the category weights; compute a cybersecurity score by applying the algorithm to the weighted categories; and generate a cybersecurity portion of a baseline and service fingerprint profile for the domain name based on the cybersecurity score. 2. The system of claim 1 , wherein the executable instructions, when executed, further cause the system to: receive a data packet associated with a detected port scan; generate and send a reply data packet with a modified header, the modified header comprising a flag and a bad sequence number to compel a sniffing machine to return a response data packet, the response data packet revealing the sniffing machine's Internet protocol address; and block the sniffing machine's Internet protocol address. 3. A computing system for cybersecurity analysis and protection employing a cyber decision platform, the computing system comprising: one or more hardware processors configured for: executing a plurality of Internet search tasks for a domain name comprising searches for, and receipt of search results for, one or more domain name system records; identifying Internet protocol addresses associated with the domain name from the one or more domain name system records; executing a first plurality of Internet protocol address scanning tasks comprising an open port scan for each Internet protocol address identified and a vulnerability scan for each open port; receiving a list of open ports, associated vulnerabilities, and a baseline and service fingerprint profile for the domain name; executing a second plurality of Internet protocol address scanning tasks comprising a port scan detection task for each Internet protocol address identified; and storing the received search results and the results of the first and second pluralities of Internet protocol address scanning tasks; receiving a cybersecurity scoring model, the cybersecurity scoring model comprising category weights for the one or more domain name system records, the list of open ports, and associated vulnerabilities and further comprising an algorithm for combining the categories using the category weights; computing a cybersecurity score by applying the algorithm to the weighted categories; and generating a cybersecurity portion of a baseline and service fingerprint profile for the domain name based on the cybersecurity score. 4. The computing system of claim 3 , wherein the one or more hardware processors are further configured for: receiving a data packet associated with a detected port scan; generating and send a reply data packet with a modified header, the modified header comprising a flag and a bad sequence number to compel a sniffing machine to return a response data packet, the response data packet revealing the sniffing machine's Internet protocol address; and blocking the sniffing machine's Internet protocol address. 5. A method for cybersecurity analysis and protection using distributed computing services, comprising the steps of: executing a plurality of Internet search tasks for a domain name comprising searches for, and receipt of search results for, one or more domain name system records; identifying Internet protocol addresses associated with the domain name from the one or more domain name system records; executing a first plurality of Internet protocol address scanning tasks comprising an open port scan for each Internet protocol address identified and a vulnerability scan for each open port; receiving a list of open ports, associated vulnerabilities, and a baseline and service fingerprint profile for the domain name; executing a second plurality of Internet protocol address scanning tasks comprising a port scan detection task for each Internet protocol address identified; and storing the received search results and the results of the first and second pluralities of Internet protocol address scanning tasks; receiving a cybersecurity scoring model, the cybersecurity scoring model comprising category weights for the one or more domain name system records, the list of open ports, and associated vulnerabilities and further comprising an algorithm for combining the categories using the category weights; computing a cybersecurity score by applying the algorithm to the weighted categories; and generating a cybersecurity portion of a baseline and service fingerprint profile for the domain name based on the cybersecurity score. 6. The method of claim 5 , further comprising the steps of: receiving a data packet associated with a detected port scan; generating and send a reply data packet with a modified header, the modified header comprising a flag and a bad sequence number to compel a sniffing machine to return a response data packet, the response data packet revealing the sniffing machine's Internet protocol address; and blocking the sniffing machine's Internet protocol address. 7. Non-transitory, computer-readable storage media having computer-executable instructions embodied thereon that, when executed by one or more processors of a computing system employing a cyber decision platform for detection and mitigation of cyberattacks, cause the computing system to: execute a plurality of Internet search tasks for a domain name comprising searches for, and receipt of search results for, one or more domain name system records; identify Internet protocol addresses associated with the domain name from the one or more domain name system records; execute a first plurality of Internet protocol address scanning tasks comprising an open port scan for each Internet protocol address identified and a vulnerability scan for each open port; receive a list of open ports, associated vulnerabilities, and a baseline and service fingerprint profile for the domain name; execute a second plurality of Internet protocol address scanning tasks comprising a port scan detection task for each Internet protocol address identified; and store the received search results and the results of the first and second pluralities of Internet protocol address scanning tasks; receive a cybersecurity scoring model, the cybersecurity scoring model comprising category weights for the one or more domain name system records, the list of open ports, and associated vulnerabilities and further comprising an algorithm for combining the categories using the category weights; compute a cybersecurity score by applying the algorithm to
Proxies · CPC title
Event detection, e.g. attack signature detection · CPC title
Vulnerability analysis · CPC title
Passive attacks, e.g. eavesdropping or listening without modification of the traffic monitored · CPC title
Filtering by address, protocol, port number or service, e.g. IP-address or URL · CPC title
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