170.168.102.124 Threat Intelligence - Armenia | IP Address Lookup

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General

IP Address
170.168.102.124
IPv4 Address
Location
🇦🇲 Yerevan, Armenia
AM
Network
AS48207
GLB Bulut Teknolojisi Limited Sirketi
Threat Score
41/100
Medium Risk
brute forcebrute-forcebruteforceBruteforceBrute-Forcecredential-attackportscanscanners
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
7 times
Protocols Attacked
combined portscan ssh
Countries Attacked
Australia
Open Ports Detected
2225443808065
Geographic Location
Country
Armenia
City
Yerevan
Region
Yerevan
Coordinates
40.1814, 44.5102
Network Information
ASN
AS48207
Organization
GLB Bulut Teknolojisi Limited Sirketi
Network
AS48207 GLB Bulut Teknolojisi Limited Sirketi
Associated CVEs
WHOIS Information
NetRange
170.168.0.0 - 170.168.255.255
CIDR
170.168.0.0/16
NetName
RIPE
NetHandle
NET-170-168-0-0-1
Parent
NET170 (NET-170-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2025-06-30
Updated
2025-06-30
Ref
https://rdap.arin.net/registry/ip/170.168.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-08-27 Vultrtokyo SSH View Log
2026-08-27 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 170.168.102.124 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.