62.138.184.107 Threat Intelligence and Host Information

General

IP Address
62.138.184.107
IPv4 Address
Location
🇫🇷 Strasbourg, France
FR
Network
AS8972
Host Europe GmbH
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
France
City
Strasbourg
Region
Grand Est
Coordinates
48.5855, 7.7418
Network Information
ASN
AS8972
Organization
Host Europe GmbH
Network
AS8972 Host Europe GmbH
WHOIS Information
inetnum
62.138.184.107 - 62.138.184.107
netname
Dedicated-Fabric
country
DE
descr
GD MASS Network
org
ORG-HE40-RIPE
admin-c
JUPP
tech-c
JUPP
status
ASSIGNED PA
mnt-by
MNT-HEG-MASS
created
2019-06-18T11:00:37Z
last-modified
2019-06-18T11:00:37Z
organisation
ORG-HE40-RIPE
org-name
Host Europe
org-type
OTHER
address
Germany
abuse-c
HEAH
mnt-ref
MNT-GDETA
role
HEG Mass
phone
+49 2203 1045 0
nic-hdl
HM5126-RIPE
route
62.138.184.0/24
origin
AS8972

  • Country: France
  • Network: AS8972 host europe gmbh
  • Noticed: 1 times
  • Protcols Attacked: SSH
  • Passive DNS Results: api.wavepointer.com beastowner.ch www.beastowner.ch www.beastowner.li beastowner.li beastowner.com www.beastowner.com distler-shcmobile.infomantis.de kme-kundenportalbackend-develop.infomantis.de montavit-salesapp-dev.infomantis.de backshop-leadapp.infomantis.de montavit-salesapp.infomantis.de confluence.infomantis.de sentry.infomantis.de kme-kundenportalbackend-release.infomantis.de kme-stammdatenportal-release.infomantis.de jira.infomantis.de montavit-salesapp-qs.infomantis.de tk-salesapp-dev.infomantis.de neustainfomantis-sebu-esalesapp-appcenter.infomantis.de neustainfomantis-esalesapp-appcenter.infomantis.de esalesapp-backend.infomantis.de www.kme-mouldorganiser.com kme-mouldorganiser.com kme-mouldorganiser-stammdatenportal.com www.kme-mouldorganiser-stammdatenportal.com content6.infomantis.de
Disclaimer
This page contains threat intelligence information for the IPv4 address 62.138.184.107 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.