62.171.148.207 Threat Intelligence and Host Information
Aug 11, 2025
ipinfopage
General
IP Address
62.171.148.207
Location
🇩🇪 Nuremberg, Germany
Network
AS51167
Threat Score
35/100
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
443
Geographic Location
Country
Germany
City
Nuremberg
Region
Bavaria
Coordinates
49.4050, 11.1617
Network Information
ASN
AS51167
Organization
Contabo GmbH
Network
AS51167 Contabo GmbH
WHOIS Information
inetnum
62.171.128.0 - 62.171.159.255
netname
CONTABO
descr
CONTABO
country
DE
org
ORG-GG22-RIPE
admin-c
MH7476-RIPE
tech-c
MH7476-RIPE
status
ASSIGNED PA
mnt-by
MNT-CONTABO
created
2019-11-20T09:40:44Z
last-modified
2019-11-20T09:40:44Z
organisation
ORG-GG22-RIPE
org-name
Contabo GmbH
org-type
LIR
address
81549 Muenchen
phone
+49 89 21268372
fax-no
+49 89 21665862
abuse-c
MH12453-RIPE
mnt-ref
MNT-OCIRIS
person
Johannes Selg
nic-hdl
MH7476-RIPE
route
62.171.148.0/23
origin
AS51167
- Country: Germany
- Network:
- Noticed: 36 times
- Protocols Attacked: sip
- Countries Attacked: Australia, Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom, United Kingdom of Great Britain and Northern Ireland, United States of America
- Passive DNS Results: gogranddev.com redzonegaming.online api.cubinix.com ftp.quadviewdigital.com quadviewdigital.com wpxenius.cubinix.com autrever.com www.jsdeliveryjunction.in www.jsservicegroup.in vmi426849.cubinix.com jsservicegroup.in ftp.clounex.com clounex.com brahmaputradigitech.in dash.cubinix.com app.cubinix.com my.cubinix.com bulksms.cubinix.com cubinix.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 62.171.148.207 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.