158.173.89.129 Threat Intelligence - Bulgaria | IP Address Lookup

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General

IP Address
158.173.89.129
IPv4 Address
Location
🇧🇬 Sofia, Bulgaria
BG
Network
AS212238
Datacamp Limited
Threat Score
30/100
Medium Risk
brute forcebruteforceportscanscannerssshvultr
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
5 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Australia
Geographic Location
Country
Bulgaria
City
Sofia
Region
Sofia-Capital
Coordinates
42.6951, 23.3250
Network Information
ASN
AS212238
Organization
Datacamp Limited
Network
AS212238 Datacamp Limited
WHOIS Information
NetRange
158.172.0.0 - 158.180.255.255
CIDR
158.176.0.0/14, 158.180.0.0/16, 158.172.0.0/14
NetName
RIPE-ERX-158-172-0-0
NetHandle
NET-158-172-0-0-1
Parent
NET158 (NET-158-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2003-10-15
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/158.172.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
OrgTechEmail
hostmaster@ripe.net
OrgTechRef
https://rdap.arin.net/registry/entity/RNO29-ARIN
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
Attack Logs
DateTarget LocationProtocolLink
2026-09-29 Vultrtokyo Combined Multiple View Log
2026-09-29 Vultrtokyo SSH View Log
2026-09-28 Vultrtokyo SSH View Log
2026-09-28 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 158.173.89.129 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.