173.212.242.47 Threat Intelligence and Host Information
Dec 20, 2025
ipinfopage
General
IP Address
173.212.242.47
Location
🇩🇪 Nuremberg, Germany
Network
AS51167
Threat Score
10/100
Attack Intelligence
Open Ports Detected
110
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
NetRange
173.212.192.0 - 173.212.255.255
CIDR
173.212.192.0/18
NetName
RIPE
NetHandle
NET-173-212-192-0-1
Parent
NET173 (NET-173-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
OriginAS
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
Updated
2013-07-29
Ref
https://rdap.arin.net/registry/entity/RIPE
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
StateProv
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN
- Country: Germany
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: srv.lokalionline.com srv11.lokalionline.com www.srv1.lokalionline.com lokali.site www.uciteljicabozic.com uciteljicabozic.com 123.jagodica.ml jagodica.ml www.jagodica.ml ftp.magento22.tk www.magento22.tk magento22.tk www.mali-princ.uciteljicabozica.tk mali-princ.uciteljicabozica.tk ftp.jagodica.tk www.jagodica.tk ftp.grompizza.ml ftp.jagoda.ml jagoda.ml www.jagoda.ml www.grompizza.ml www.lokalionline.com ftp.lokalionline.com www.uciteljicabozica.tk ftp.uciteljicabozica.tk www.jezero.uciteljicabozica.tk jezero.uciteljicabozica.tk uciteljicabozica.tk grompizza.ml srv2.lokalionline.com srv1.lokalionline.com ns1.lokalionline.com ns2.lokalionline.com vmi226356.contaboserver.net jagodica.tk lokalionline.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 173.212.242.47 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.