129.213.171.187 Threat Intelligence and Host Information
Apr 07, 2024
ipinfopage
General
IP Address
129.213.171.187
Location
🇺🇸 Ashburn, United States
Network
AS31898
Threat Score
15/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
Ashburn
Region
Virginia
Coordinates
39.0180, -77.5390
Network Information
ASN
AS31898
Organization
ORACLE-BMC-31898
Network
AS31898 ORACLE-BMC-31898
WHOIS Information
NetRange
129.213.0.0 - 129.213.255.255
CIDR
129.213.0.0/16
NetName
OC-195
NetHandle
NET-129-213-0-0-2
Parent
OC-195 (NET-129-213-0-0-1)
NetType
Reassigned
OriginAS
Organization
Oracle Public Cloud (OC-195)
RegDate
2016-04-06
Updated
2021-01-13
Ref
https://rdap.arin.net/registry/entity/OC-195
OrgName
Oracle Public Cloud
OrgId
OC-195
Address
1501 4th Ave
City
Seattle
StateProv
WA
PostalCode
98101
Country
US
OrgTechHandle
OBMO-ARIN
OrgTechName
Oracle Bare Metal Operations
OrgTechPhone
+1-512-712-7403
OrgTechEmail
abuse@oracleemaildelivery.com
OrgTechRef
https://rdap.arin.net/registry/entity/OBMO-ARIN
OrgRoutingHandle
ORACL2-ARIN
- Country: United States
- Network: AS31898 oracle corporation
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2019-12519 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-28662 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824
Disclaimer
This page contains threat intelligence information for the IPv4 address 129.213.171.187 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.