170.130.204.58 Threat Intelligence and Host Information
Apr 06, 2026
ipinfopage
General
IP Address
170.130.204.58
Location
🇺🇸 Los Angeles, United States
Network
AS62904
Threat Score
5/100
Attack Intelligence
Open Ports Detected
123
Geographic Location
Country
United States
City
Los Angeles
Region
California
Coordinates
34.0485, -118.2529
Network Information
ASN
AS62904
Organization
AS62904
Network
AS62904 AS62904
WHOIS Information
NetRange
170.130.204.0 - 170.130.204.255
CIDR
170.130.204.0/24
NetName
SERVERHUB-LOS-ANGELES
NetHandle
NET-170-130-204-0-1
Parent
EONIX (NET-170-130-0-0-1)
NetType
Reallocated
OriginAS
Organization
ServerHub Los Angeles (SLA-55)
RegDate
2019-03-14
Updated
2019-03-14
Comment
This IP address space is assigned statically to the registered customer. IP Addresses within this block are not portable. Please contact the reallocated customer for abuse complaints. If attempts to contact the reallocated customer are unsuccessful, please make an escalated complaint for UCE, SPAM and fraudulent activity that is strictly prohibited from this network by contacting the upstream at: abuse@eonix.net
Ref
https://rdap.arin.net/registry/entity/SLA-55
OrgName
ServerHub Los Angeles
OrgId
SLA-55
Address
530 W 6th Street
City
Los Angeles
StateProv
CA
PostalCode
90014
Country
US
OrgAbuseHandle
ADMIN7080-ARIN
OrgAbuseName
Administrator, Administrator
OrgAbusePhone
+1-888-578-2372
OrgAbuseEmail
poc@eonix.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ADMIN7080-ARIN
- Country: United States
- Network:
- Noticed: times
- Protocols Attacked: portscan
Disclaimer
This page contains threat intelligence information for the IPv4 address 170.130.204.58 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.