188.166.15.234 Threat Intelligence and Host Information
Feb 06, 2026
ipinfopage
General
IP Address
188.166.15.234
Location
🇳🇱 Amsterdam, Netherlands
Network
AS14061
Threat Score
17/100
Geographic Location
Country
Netherlands
City
Amsterdam
Region
North Holland
Coordinates
52.3520, 4.9392
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
inetnum
188.166.0.0 - 188.166.127.255
netname
EU-DIGITALOCEAN-NL1
descr
Digital Ocean, Inc.
country
US
org
ORG-DOI2-RIPE
admin-c
PT7353-RIPE
tech-c
PT7353-RIPE
status
ASSIGNED PA
mnt-by
digitalocean
mnt-lower
digitalocean
mnt-routes
digitalocean
mnt-domains
digitalocean
created
2015-03-11T16:37:07Z
last-modified
2025-04-11T19:39:01Z
organisation
ORG-DOI2-RIPE
org-name
DigitalOcean, LLC
org-type
LIR
address
United States of America
phone
+16468274366
mnt-ref
RIPE-NCC-HM-MNT
abuse-c
AD10778-RIPE
language
EN
person
DigitalOcean Network Operations
nic-hdl
PT7353-RIPE
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-02-06 | Singapore | SSH | View Log |
- Country: Netherlands
- Network:
- Noticed: 1 times
- Protocols Attacked: ssh
- Passive DNS Results: wss12.training.opensips.org wss19.training.opensips.org wss29.training.opensips.org wss30.training.opensips.org wss11.training.opensips.org wss.training.opensips.org wss17.training.opensips.org wss28.training.opensips.org wss15.training.opensips.org wss27.training.opensips.org wss21.training.opensips.org wss14.training.opensips.org wss20.training.opensips.org wss22.training.opensips.org wss25.training.opensips.org wss26.training.opensips.org wss23.training.opensips.org wss13.training.opensips.org wss16.training.opensips.org wss24.training.opensips.org wss18.training.opensips.org cc.demo.opensips.org demo.opensips.org sbc.test.opensips.org
Disclaimer
This page contains threat intelligence information for the IPv4 address 188.166.15.234 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.