174.138.11.120 Threat Intelligence and Host Information
Feb 02, 2026
ipinfopage
General
IP Address
174.138.11.120
Location
🇳🇱 Amsterdam, Netherlands
Network
AS14061
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
111
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
NetRange
174.138.0.0 - 174.138.127.255
CIDR
174.138.0.0/17
NetName
DIGITALOCEAN-174-138-0-0
NetHandle
NET-174-138-0-0-1
Parent
NET174 (NET-174-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2025-04-11
Comment
Ref
https://rdap.arin.net/registry/entity/DO-13
OrgName
DigitalOcean, LLC
OrgId
DO-13
Address
105 Edgeview Drive, Suite 425
City
Broomfield
StateProv
CO
PostalCode
80021
Country
US
OrgAbuseHandle
DIGIT19-ARIN
OrgAbuseName
DigitalOcean Abuse
OrgAbusePhone
+1-646-827-4366
OrgAbuseEmail
abuse@digitalocean.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/DIGIT19-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-02-01 | London, UK | SSH | View Log |
- Country: Netherlands
- Network:
- Noticed: 4 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
- Passive DNS Results: www.aritzi.fr www.verzati.it www.aritzi.it www.verzati.com www.aritzi.de www.aritzi.es www.aritzi.com verzati.de verzati.it aritzi.es verzati.es verzati.com aritzi.it www.verzati.fr verzati.fr aritzi.fr aritzi.de aritzi.com gromgosha.devops.rebrain.srwx.net leonmel8etz.com
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-6387 CVE-2025-26465 CVE-2025-32728
Disclaimer
This page contains threat intelligence information for the IPv4 address 174.138.11.120 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.