162.250.100.70 Threat Intelligence - United States | IP Address Lookup
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General
IP Address
162.250.100.70
Location
🇺🇸 United States
Network
AS398465
Threat Score
40/100
Attack Intelligence
Noticed
8 times
Protocols Attacked
combined portscan
Open Ports Detected
11131284438443
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS398465
Organization
Rackdog, LLC
Network
AS398465 Rackdog, LLC
Associated CVEs
WHOIS Information
NetRange
162.250.96.0 - 162.250.103.255
CIDR
162.250.96.0/21
NetName
SSL-1052
NetHandle
NET-162-250-96-0-1
Parent
NET162 (NET-162-0-0-0-0)
NetType
Direct Allocation
Organization
Sneaker Server, LLC (SSL-1052)
RegDate
2020-10-19
Updated
2022-03-21
Ref
https://rdap.arin.net/registry/ip/162.250.96.0
OrgName
Sneaker Server, LLC
OrgId
SSL-1052
Address
85 Kinderkamack Rd Ste 200
City
Emerson
StateProv
NJ
PostalCode
07630
Country
US
OrgNOCHandle
CONTA388-ARIN
OrgNOCName
Contact
OrgNOCPhone
+1-732-470-7921
OrgNOCEmail
contact@sneakerserver.com
OrgNOCRef
https://rdap.arin.net/registry/entity/CONTA388-ARIN
OrgTechHandle
CONTA388-ARIN
OrgTechName
Contact
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-03 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-01 | Vultrmelbournetest Combined | Multiple | View Log |
| 2026-09-01 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Vultrmelbournetest Combined | Multiple | View Log |
| 2026-08-31 | Vultrtokyo Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 162.250.100.70 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.