18.198.201.161 Threat Intelligence - Germany | IP Address Lookup
ipinfopage
Share on:
General
IP Address
18.198.201.161
Location
🇩🇪 Frankfurt am Main, Germany
Network
AS16509
Threat Score
24/100
Attack Intelligence
Noticed
2 times
Protocols Attacked
aws php
Passive DNS
wireguard-prod-aws-de-frankfurt-ult-07209.gen-vpn.com
Geographic Location
Country
Germany
City
Frankfurt am Main
Region
Hesse
Coordinates
50.1169, 8.6837
Network Information
ASN
AS16509
Organization
Amazon.com, Inc.
Network
AS16509 Amazon.com, Inc.
WHOIS Information
NetRange
18.32.0.0 - 18.255.255.255
CIDR
18.128.0.0/9, 18.32.0.0/11, 18.64.0.0/10
NetName
AT-88-Z
NetHandle
NET-18-32-0-0-1
Parent
NET18 (NET-18-0-0-0-0)
NetType
Direct Allocation
Organization
Amazon Technologies Inc. (AT-88-Z)
RegDate
2019-10-07
Updated
2021-02-10
Ref
https://rdap.arin.net/registry/ip/18.32.0.0
OrgName
Amazon Technologies Inc.
OrgId
AT-88-Z
Address
410 Terry Ave N.
City
Seattle
StateProv
WA
PostalCode
98109
Country
US
Comment
All abuse reports MUST include:
OrgRoutingHandle
ARMP-ARIN
OrgRoutingName
AWS RPKI Management POC
OrgRoutingPhone
+1-206-555-0000
OrgRoutingEmail
aws-rpki-routing-poc@amazon.com
OrgRoutingRef
https://rdap.arin.net/registry/entity/ARMP-ARIN
OrgDNSHandle
DNS1131-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-04 | Webexploit Aws Credentials Ip List 2026 08 04 | Multiple | View Log |
| 2026-08-04 | Webexploit Php Backup Grab Ip List 2026 08 04 | Multiple | View Log |
| 2026-08-04 | Cve 2002 1149 Attacker Ip List 2026 08 04 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 18.198.201.161 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.