IP Library Granted Patent US 10,230,753
Granted Patent B2
US 10,230,753 · App. 15/443,700 · Granted Mar 12, 2019

Entity IP mapping

Inventors: Aleksandr Yampolskiy (Brooklyn, NY); Rob Blackin (East Brunswick, NJ); Samuel Kassoumeh (Brooklyn, NY); Nick Matviko (New York, NY)
Assignee: SecurityScorecard, Inc.
H04L63/1433G06F21/56G06F21/57G06F21/577G06N99/005G06Q10/0635G06Q10/06393H04L29/12066H04L43/065H04L61/1511H04L61/2007H04L61/2076H04L61/25H04L61/2503H04L63/08H04L63/1425H04L63/1458H04L67/10H04W84/12G06F2221/034
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Quick Facts
Patent No.
US 10,230,753
App. No.
15/443,700
Granted
Mar 12, 2019
Kind
B2
Abstract

Systems and methods for mapping IP addresses to an entity include receiving at least one domain name associated with the entity. Embodiments may further include determining one or more variations of the at least one domain name based on analysis of domain name data collected from a plurality of domain name data sources that mention a variation of the at least one domain name. Some embodiments may also include identifying one or more IP addresses pointed to by the one or more variations of the entity's domain name based on analysis of IP address data collected from a plurality of IP address data sources. Additional embodiments include assigning weights to each of the identified one or more IP addresses and creating a mapping of IP addresses to associate with the entity based on analysis of the weighted one or more IP addresses.

Claims (49)

1. A method for mapping Internet Protocol (IP) addresses to an entity, the method comprising:

receiving, by one or more processors, one or more domain names associated with the entity;

identifying, by the one or more processors, one or more variations of the one or more domain names based on analysis of domain name data collected from a plurality of domain name data sources;

identifying, by the one or more processors, one or more IP addresses pointed to by the identified one or more variations of the one or more domain names based on analysis of IP address data collected from a plurality of IP address data sources;

determining, by the one or more processors, a correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names;

mapping at least one of the identified one or more IP addresses to the entity based on the determined correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names; and

presenting, by the one or more processors, data representative of the mapping between the at least one of the identified one or more IP addresses and the entity to allow a user to execute operations relating to at least one of the mapping and the determined correlation.

2. The method of claim 1 where identifying one or more IP addresses comprises collecting one or more IP addresses that map to the one or more variations of the one or more domain names.

3. The method of claim 1 where determining the correlation comprises:

assigning a larger weight to an IP address of the identified one or more IP addresses that relates to multiple of the one or more variations of the one or more domain names; and

assigning a smaller weight to an IP address of the identified one or more IP addresses that relates to only one of the one or more variations of the one or more domain names.

4. The method of claim 1 further comprising:

updating the association based on user input.

5. The method of claim 1 further comprising:

re-mapping at least one of the identified one or more IP addresses to the entity based on an updated correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names.

6. The method of claim 1 further comprising:

associating IP addresses with networks other than the entity's network based on at least one of user input and detection of IP addresses not having access to data internal to the entity.

7. The method of claim 6 where the networks other than the entity's network comprise at least one of a Wi-Fi, third-party hosting, guest, or security network.

8. A non-transitory computer-readable medium comprising instructions that are executable and when executed cause a computing system to map Internet Protocol (IP) addresses to an entity by:

receiving, by one or more processors, one or more domain names associated with the entity;

identifying, by the one or more processors, one or more variations of the one or more domain names based on analysis of domain name data collected from a plurality of domain name data sources;

identifying, by the one or more processors, one or more IP addresses pointed to by the identified one or more variations of the one or more domain names based on analysis of IP address data collected from a plurality of IP address data sources;

determining, by the one or more processors, a correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names;

mapping at least one of the identified one or more IP addresses to the entity based on the determined correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names; and

presenting, by the one or more processors, data representative of the mapping between the at least one of the identified one or more IP addresses and the entity to allow a user to execute operations relating to at least one of the mapping and the determined correlation.

9. The non-transitory computer-readable medium of claim 8 where identifying one or more IP addresses comprises collecting one or more IP addresses that map to the one or more variations of the one or more domain names.

10. The non-transitory computer-readable medium of claim 8 where determining the correlation comprises:

assigning a larger weight to an IP address of the identified one or more IP addresses that relates to multiple of the one or more variations of the one or more domain names; and

assigning a smaller weight to an IP address of the identified one or more IP addresses that relates to only one of the one or more variations of the one or more domain names.

11. The non-transitory computer-readable medium of claim 8 further comprising instructions to cause the one or more processors to update the association based on user input.

12. The non-transitory computer-readable medium of claim 8 further comprising instructions to cause the one or more processors to perform the step of re-mapping at least one of the identified one or more IP addresses to the entity based on an updated correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names.

13. The non-transitory computer-readable medium of claim 10 further comprising instructions to cause the one or more processors to perform the step of associating IP addresses with networks other than the entity's network based on at least one of user input and detection of IP addresses not having access to data internal to the entity.

14. The non-transitory computer-readable medium of claim 13 where the networks other than the entity's network comprise at least one of a Wi-Fi, third-party hosting, guest, or security network.

15. An apparatus that maps Internet Protocol (IP) addresses to an entity, the apparatus comprising:

one or more processors; and

a non-transitory computer-readable memory communicatively coupled to the one or more processors and containing program code configured to cause the one or more processors to perform operations including:

receiving, by one or more processors, one or more domain names associated with the entity;

identifying, by the one or more processors, one or more variations of the one or more domain names based on analysis of domain name data collected from a plurality of domain name data sources;

identifying, by the one or more processors, one or more IP addresses pointed to by the identified one or more variations of the one or more domain names based on analysis of IP address data collected from a plurality of IP address data sources;

determining, by the one or more processors, a correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names;

mapping at least one of the identified one or more IP addresses to the entity based on the determined correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names; and

presenting, by the one or more processors, data representative of the mapping between the at least one of the identified one or more IP addresses and the entity to allow a user to execute operations relating to at least one of the mapping and the determined correlation.

16. The apparatus of claim 15 where identifying one or more IP addresses comprises collecting one or more IP addresses that map to the one or more variations of the one or more domain names.

17. The apparatus of claim 15 where determining the correlation comprises:

assigning a larger weight to an IP address of the identified one or more IP addresses that relates to multiple of the one or more variations of the one or more domain names; and

assigning a smaller weight to an IP address of the identified one or more IP addresses that relates to only one of the one or more variations of the one or more domain names.

18. The apparatus of claim 15 where the one or more processors is further configured to perform the step of updating the association based on user input.

19. The apparatus of claim 15 where the one or more processors is further configured to perform the step of re-mapping at least one of the identified one or more IP addresses to the entity based on an updated correlation between the identified one or more IP addresses and the identified one or more variations of the one or more domain names.

20. The apparatus of claim 15 where the one or more processors is further configured to perform the step of associating IP addresses with networks other than the entity's network based on at least one of user input and detection of IP addresses not having access to data internal to the entity.

Assignments (10)
SECURITY INTEREST Recorded Jul 29, 2025
From: SECURITYSCORECARD, INC.
To: FIRST-CITIZENS BANK & TRUST COMPANY
Reel/Frame 072261/0012 →
RELEASE OF SECURITY INTEREST Recorded Sep 19, 2024
From: JPMORGAN CHASE BANK, N.A.
To: SECURITYSCORECARD, INC.
Reel/Frame 068631/0463 →
SECURITY INTEREST Recorded Jun 12, 2024
From: SECURITYSCORECARD, INC.
To: FIRST-CITIZENS BANK & TRUST COMPANY
Reel/Frame 067711/0635 →
SECURITY INTEREST Recorded Sep 17, 2021
From: SECURITYSCORECARD, INC.
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 057514/0519 →
CORRECTIVE ASSIGNMENT TO CORRECT THE ASSIGNEE NAME PREVIOUSLY RECORDED AT REEL: 041601 FRAME: 0650. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 26, 2017
From: MATVIKO, NICK
To: SECURITYSCORECARD, INC.
Reel/Frame 044003/0154 →
CORRECTIVE ASSIGNMENT TO CORRECT ASSIGNEE NAME PREVIOUSLY RECORDED ON REEL 041601 FRAME 0467. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 25, 2017
From: YAMPOLSKIY, ALEKSANDR; BLACKIN, ROB; HEID, ALEXANDER
To: SECURITYSCORECARD, INC.
Reel/Frame 043990/0646 →
CORRECTIVE ASSIGNMENT TO CORRECT ASSIGNEE NAME PREVIOUSLY RECORDED ON REEL 041600 FRAME 0917. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Sep 25, 2017
From: YAMPOLSKIY, ALEKSANDR; BLACKIN, ROB; KASSOUMEH, SAMUEL
To: SECURITYSCORECARD, INC.
Reel/Frame 043990/0780 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 16, 2017
From: YAMPOLSKIY, ALEKSANDR; BLACKIN, ROB; HEID, ALEXANDER
To: SECURITY SCORECARD, INC.
Reel/Frame 041601/0467 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 16, 2017
From: MATVIKO, NICK
To: SECURITY SCORECARD, INC.
Reel/Frame 041601/0650 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 16, 2017
From: YAMPOLSKIY, ALEKSANDR; BLACKIN, ROB; KASSOUMEH, SAMUEL
To: SECURITY SCORECARD, INC.
Reel/Frame 041600/0917 →
Continuity (4)
Continuation 14702667 · May 1, 2015
Provisional Application 62091477 · Dec 13, 2014
Provisional Application 62091478 · Dec 13, 2014
Related Publication 20170171237A1 · Jun 15, 2017
Cited By (10)
US 12,200,006 US 12,223,060 US 12,273,367 US 12,282,564 US 12,328,334 US 12,335,297 US 12,348,485 US 12,353,563 US 12,425,437 US 12,587,555