152.53.253.223 Threat Intelligence - Germany | IP Address Lookup

Share on:

General

IP Address
152.53.253.223
IPv4 Address
Location
🇩🇪 Nuremberg, Germany
DE
Network
AS197540
netcup GmbH
Threat Score
47/100
Medium Risk
Aggressive-DetectionBlocklistbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanMalicious-IP
Attack Intelligence
Noticed
6 times
Protocols Attacked
combined ssh
Countries Attacked
China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Passive DNS
oracle.taiwan.dieckow.eu
Open Ports Detected
222222253000333333894435000578448083338880
Geographic Location
Country
Germany
City
Nuremberg
Region
Bavaria
Coordinates
49.4527, 11.0783
Network Information
ASN
AS197540
Organization
netcup GmbH
Network
AS197540 netcup GmbH
Associated CVEs
WHOIS Information
NetRange
152.53.0.0 - 152.53.255.255
CIDR
152.53.0.0/16
NetName
RIPE
NetHandle
NET-152-53-0-0-1
Parent
NET152 (NET-152-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2023-02-14
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/152.53.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
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
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-08-10 Toronto, Canada SSH View Log
2026-08-10 Digitaloceantoronto Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 152.53.253.223 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.