138.2.130.117 Threat Intelligence - Germany | IP Address Lookup
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General
IP Address
138.2.130.117
Location
🇩🇪 Frankfurt am Main, Germany
Network
AS31898
Threat Score
0/100
Attack Intelligence
Protocols Attacked
mitre
Passive DNS
saas.alessio1.neosdata.net
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
138.2.0.0 - 138.2.255.255
CIDR
138.2.0.0/16
NetName
ORACLE-BETH
NetHandle
NET-138-2-0-0-1
Parent
NET138 (NET-138-0-0-0-0)
NetType
Direct Allocation
Organization
Oracle Corporation (ORACLE-4-Z)
RegDate
1990-01-17
Updated
2021-12-14
Ref
https://rdap.arin.net/registry/ip/138.2.0.0
OrgName
Oracle Corporation
OrgId
ORACLE-4-Z
Address
500 Oracle Parkway
City
Redwood Shores
StateProv
CA
PostalCode
94065
Country
US
OrgAbuseHandle
NISAM-ARIN
OrgAbuseName
Network Information Systems Abuse Management
OrgAbusePhone
+1-800-633-0738
OrgAbuseEmail
network-contact_ww_grp@oracle.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/NISAM-ARIN
OrgRoutingHandle
ORACL2-ARIN
OrgRoutingName
ORACLEROUTING
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 |
| 2025-04-07 | Cve 2024 4577 Attacker Ip List 2025 04 07 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 138.2.130.117 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.