37.120.222.181 Threat Intelligence and Host Information

General

IP Address
37.120.222.181
IPv4 Address
Location
🇩🇪 Frankfurt am Main, Germany
DE
Network
AS9009
M247 Ltd
Threat Score
29/100
Low Risk
bruteforceBruteforceBrute-ForcesshSSH
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Geographic Location
Country
Germany
City
Frankfurt am Main
Region
Hesse
Coordinates
50.1049, 8.6295
Network Information
ASN
AS9009
Organization
M247 Ltd
Network
AS9009 M247 Ltd
WHOIS Information
inetnum
37.120.222.0 - 37.120.222.255
netname
M247-LTD-Frankfurt
descr
M247 LTD Frankfurt Infrastructure
country
DE
geoloc
50.0658 8.6165
admin-c
GBXS1-RIPE
tech-c
GBXS1-RIPE
status
ASSIGNED PA
mnt-by
GLOBALAXS-MNT
mnt-routes
GLOBALAXS-MNT
mnt-domains
GLOBALAXS-MNT
created
2019-07-17T08:24:38Z
last-modified
2019-07-17T08:24:38Z
role
GLOBALAXS DE NOC
address
60314, Frankfurt, Germany
abuse-mailbox
abuse@m247.ro
nic-hdl
GBXS1-RIPE
route
37.120.222.0/24
origin
AS9009
Attack Logs
Date Target Location Protocol Link
2024-06-06 London, UK SSH View Log

  • Country: Germany
  • Network: AS9009 m247 ltd
  • Noticed: 2 times
  • Protocols Attacked: ssh
  • Countries Attacked: Australia
  • Passive DNS Results: auth3030-25.cfd auth3030-11.cfd auth3030-21.cfd auth3030-15.cfd auth3030-9.cfd auth3030-24.cfd auth3030-12.cfd auth3030-2.cfd auth3030-8.cfd auth3030-5.cfd auth3030-6.cfd auth3030-19.cfd auth3030-20.cfd auth3030-10.cfd auth3030-13.cfd auth3030-18.cfd auth3030-17.cfd auth3030-1.cfd auth3030-23.cfd auth3030-14.cfd auth3030-4.cfd auth3030-7.cfd auth3030-0.cfd auth3030-22.cfd auth3030-3.cfd auth3030-16.cfd ppl.bestwinapp.com s7.bestwinapp.com s6.bestwinapp.com s3.golrangserv.com frank.skyphone.ml gar.modestreet.ir apptegmaker.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 37.120.222.181 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.