185.189.45.230 Threat Intelligence - Sweden | IP Address Lookup

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General

IP Address
185.189.45.230
IPv4 Address
Location
πŸ‡ΈπŸ‡ͺ Stockholm, Sweden
SE
Network
AS214159
UAB Cherry Servers
Threat Score
50/100
Medium Risk
brute forcebruteforcecowriedionaeafattftphoneytrapmailoney
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1110 - Brute Force, T1190 - Exploit Public-Facing Application
Noticed
9 times
Protocols Attacked
combined ftp portscan ssh telnet
Countries Attacked
Australia
Open Ports Detected
22
Geographic Location
Country
Sweden
City
Stockholm
Region
Stockholm County
Coordinates
59.3287, 18.0717
Network Information
ASN
AS214159
Organization
UAB Cherry Servers
Network
AS214159 UAB Cherry Servers
WHOIS Information
inetnum
185.189.45.0 - 185.189.45.255
netname
SK3-infra-2
country
SE
admin-c
CN4113-RIPE
tech-c
CN4113-RIPE
status
ASSIGNED PA
mnt-by
DUOMENUCENTRAS-MNT
created
2025-01-21T08:54:10Z
last-modified
2025-07-23T11:39:17Z
descr
Cherry Servers SK3
org
ORG-UDC69-RIPE
organisation
ORG-UDC69-RIPE
org-name
UAB "Cherry Servers"
reg-nr
145747029
org-type
LIR
address
Tilzes g. 74
phone
+370 41 503 503
abuse-c
CAC119-RIPE
mnt-ref
RIPE-NCC-HM-MNT
role
Cherry Servers NOC
nic-hdl
CN4113-RIPE
route
185.189.45.0/24
origin
as214159
Attack Logs
DateTarget LocationProtocolLink
2026-09-05 Vultrtokyo TELNET View Log
2026-09-05 Vultrtokyo Combined Multiple View Log
2026-09-05 Vultrtokyo FTP View Log
2026-09-05 Vultrtokyo SSH View Log
2026-09-04 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 185.189.45.230 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.