185.165.170.59 Threat Intelligence - Iceland | IP Address Lookup
ipinfopage
Share on:
General
IP Address
185.165.170.59
Location
🇮🇸 Reykjavik, Iceland
Network
AS200651
Threat Score
50/100
Attack Intelligence
Noticed
37 times
Protocols Attacked
combined portscan
Countries Attacked
Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
Passive DNS
www.totoroscat.com
Open Ports Detected
22443
Geographic Location
Country
Iceland
City
Reykjavik
Region
Capital Region
Coordinates
64.1336, -21.8934
Network Information
ASN
AS200651
Organization
FlokiNET ehf
Network
AS200651 FlokiNET ehf
WHOIS Information
inetnum
185.165.170.0 - 185.165.170.255
netname
FlokiNET-Iceland
country
IS
admin-c
FN3741-RIPE
tech-c
FN3741-RIPE
status
ASSIGNED PA
mnt-by
lir-is-flokinetehf-1-MNT
created
2017-11-13T13:48:30Z
last-modified
2026-07-17T09:32:59Z
role
FlokiNET NOC
address
ICELAND
phone
+46844683245
abuse-mailbox
abuse@flokinet.is
nic-hdl
FN3741-RIPE
route
185.165.170.0/24
origin
AS200651
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-12 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-11 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-09 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-08 | Vultrtokyo Combined | Multiple | View Log |
| 2026-09-07 | Vultrtokyo Combined | Multiple | View Log |
Additional Intelligence
Threat Feeds / IP Sets
- bitcoin_nodes_1d
- bitcoin_nodes_30d
- bitcoin_nodes_7d
- bitcoin_nodes
Disclaimer
This page contains threat intelligence information for the IPv4 address 185.165.170.59 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.