161.97.154.237 Threat Intelligence - Germany | IP Address Lookup
ipinfopage
General
IP Address
161.97.154.237
Location
🇩🇪 Düsseldorf, Germany
Network
AS51167
Threat Score
40/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1190 - Exploit Public-Facing Application
Noticed
37 times
Protocols Attacked
mssql portscan
Countries Attacked
Türkiye
Open Ports Detected
3389598680
Geographic Location
Country
Germany
City
Düsseldorf
Region
North Rhine-Westphalia
Coordinates
51.1878, 6.8607
Network Information
ASN
AS51167
Organization
Contabo GmbH
Network
AS51167 Contabo GmbH
WHOIS Information
NetRange
161.97.64.0 - 161.97.189.255
CIDR
161.97.160.0/20, 161.97.184.0/22, 161.97.188.0/23, 161.97.176.0/21, 161.97.128.0/19, 161.97.64.0/18
NetName
RIPE
NetHandle
NET-161-97-64-0-1
Parent
NET161 (NET-161-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2020-05-07
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/161.97.64.0
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
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-27 | Vultrtokyo | MSSQL | View Log |
| 2026-07-27 | Vultrmelbournetest | MSSQL | View Log |
| 2026-07-22 | Toronto, Canada | MSSQL | View Log |
| 2026-07-22 | Vultrtokyo | MSSQL | View Log |
| 2026-07-22 | Vultrmelbournetest | MSSQL | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 161.97.154.237 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.