157.254.191.103 Threat Intelligence - United States | IP Address Lookup
ipinfopage
Share on:
General
IP Address
157.254.191.103
Location
🇺🇸 United States
Network
AS154107
Threat Score
38/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
6 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
22300038080
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS154107
Organization
DigitalLink Global Network Limited
Network
AS154107 DigitalLink Global Network Limited
Associated CVEs
WHOIS Information
NetRange
157.254.0.0 - 157.254.255.255
CIDR
157.254.0.0/16
NetName
VANTIVA
NetHandle
NET-157-254-0-0-1
Parent
NET157 (NET-157-0-0-0-0)
NetType
Direct Allocation
Organization
Vantiva USA Shared Services Inc. (TU-310-Z)
RegDate
1992-02-08
Updated
2024-01-03
Ref
https://rdap.arin.net/registry/ip/157.254.0.0
OrgName
Vantiva USA Shared Services Inc.
OrgId
TU-310-Z
Address
4855 Peachtree Industrial Blvd., Suite 200
City
Norcross
StateProv
GA
PostalCode
30092
Country
US
OrgRoutingHandle
IST36-ARIN
OrgRoutingName
IPXO Support Team
OrgRoutingPhone
+1 (650) 564-3425
OrgRoutingEmail
support@ipxo.com
OrgRoutingRef
https://rdap.arin.net/registry/entity/IST36-ARIN
OrgAbuseHandle
ABUSE8923-ARIN
OrgAbuseName
Abuse Admin
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-04 | Vultrtokyo | SSH | View Log |
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 157.254.191.103 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.