51.89.22.248 Threat Intelligence and Host Information

General

IP Address
51.89.22.248
IPv4 Address
Location
🇬🇧 London, United Kingdom
GB
Network
AS16276
OVH SAS
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United Kingdom
City
London
Region
England
Coordinates
51.5164, -0.0930
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
WHOIS Information
inetnum
51.89.22.0 - 51.89.23.255
netname
VPS-DE2
country
DE
org
ORG-OG9-RIPE
geoloc
50.388228 8.073916
admin-c
OK217-RIPE
tech-c
GM84-RIPE
status
LEGACY
mnt-by
OVH-MNT
created
2019-02-13T09:06:24Z
last-modified
2019-02-13T09:06:24Z
organisation
ORG-OG9-RIPE
org-name
OVH GmbH
org-type
OTHER
address
Deutschland
abuse-c
ACRO39426-RIPE
mnt-ref
OVH-MNT
role
OVH DE Technical Contact
nic-hdl
OTC13-RIPE
abuse-mailbox
abuse@ovh.net
route
51.89.0.0/16
origin
AS16276

  • Country: United Kingdom
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: gameofsynchronicity.com www.internet.com internet.com poc.simmac.ovh oxygenot.com mirage-server.com

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2023-38709 CVE-2024-24795 CVE-2024-27316 CVE-2024-36387 CVE-2024-38472 CVE-2024-38473 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-39573 CVE-2024-40898 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020

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Disclaimer
This page contains threat intelligence information for the IPv4 address 51.89.22.248 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.