51.79.84.123 Threat Intelligence and Host Information

General

IP Address
51.79.84.123
IPv4 Address
Location
🇨🇦 Canada
CA
Network
AS16276
OVH SAS
Threat Score
20/100
Low Risk
Attack Intelligence
Open Ports Detected
2082
Geographic Location
Country
Canada
City
Unknown
Region
Unknown
Coordinates
43.6319, -79.3716
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
WHOIS Information
inetnum
51.79.0.0 - 51.79.255.255
netname
NON-RIPE-NCC-MANAGED-ADDRESS-BLOCK
descr
IPv4 address block not managed by the RIPE NCC
admin-c
IANA1-RIPE
tech-c
IANA1-RIPE
status
ALLOCATED UNSPECIFIED
mnt-by
RIPE-NCC-MNT
created
1970-01-01T00:00:00Z
last-modified
2001-09-22T09:31:27Z
role
Internet Assigned Numbers Authority
address
see http://www.iana.org.
nic-hdl
IANA1-RIPE

  • Country: Canada
  • Network: AS16276 ovh sas
  • Noticed: 1 times
  • Protcols Attacked: SSH
  • Passive DNS Results: ns4.zerogravitywebhost.com ns2.mwginc.com ns-2.macavellipress.com ns4.ndanet.net ns2.ndanet.net ns2.fgfunds.net ns2.merhost.com ns4.empowerideas.com ns2.empowerideas.com ns33.gsdmx.com ns2.riiactive.com ns2.farrowgnet.com ns2.skipshosting.com ns2.tegrahosting.com ns2.skilledwebhosting.com ns2.promotionaloffice.com ns2.inventivehosting.net ns2.commandperformanceentertainment.com ns4.dnsaf.com ns2.dnsaf.com ns102.indexa.pe ns2.zerogravitywebhost.com ns2.steadyio.com ns2.kismet-hosting.com ns2.mountainwp.com ns2.dreamnames.hosting ns2.servercreations.com ns-us14.mithrilnetwork.com

CVEs Detected

CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408

Disclaimer
This page contains threat intelligence information for the IPv4 address 51.79.84.123 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.