130.61.29.193 Threat Intelligence - Germany | IP Address Lookup
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General
IP Address
130.61.29.193
Location
🇩🇪 Frankfurt am Main, Germany
Network
AS31898
Threat Score
17/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
mitre
Countries Attacked
United States of America
Open Ports Detected
19100
Geographic Location
Country
Germany
City
Frankfurt am Main
Region
Hesse
Coordinates
50.1049, 8.6295
Network Information
ASN
AS31898
Organization
Oracle Corporation
Network
AS31898 Oracle Corporation
Associated CVEs
WHOIS Information
NetRange
130.61.0.0 - 130.61.255.255
CIDR
130.61.0.0/16
NetName
OC-195
NetHandle
NET-130-61-0-0-1
Parent
NET130 (NET-130-0-0-0-0)
NetType
Direct Allocation
Organization
Oracle Corporation (ORACLE-4)
RegDate
2016-10-31
Updated
2017-11-27
Ref
https://rdap.arin.net/registry/ip/130.61.0.0
OrgName
Oracle Corporation
OrgId
ORACLE-4
Address
2300 Oracle Way
City
Austin
StateProv
TX
PostalCode
78741
Country
US
OrgRoutingHandle
ORACL2-ARIN
OrgRoutingName
ORACLEROUTING
OrgRoutingPhone
+1-800-392-2999
OrgRoutingEmail
network-contact_ww@oracle.com
OrgRoutingRef
https://rdap.arin.net/registry/entity/ORACL2-ARIN
OrgAbuseHandle
NISAM-ARIN
OrgAbuseName
Network Information Systems Abuse Management
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Cve 2021 42013 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Webexploit Mitre T1083 Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2021 41773 Attacker Ip List 2026 10 19 | Multiple | View Log |
| 2025-01-04 | Cve 2024 4577 Attacker Ip List 2025 01 04 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 130.61.29.193 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.