209.99.189.217 Threat Intelligence - Switzerland | IP Address Lookup

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General

IP Address
209.99.189.217
IPv4 Address
Location
🇨🇭 Zurich, Switzerland
CH
Network
AS402253
SKN Subnet & Telecom Ltd
Threat Score
60/100
High Risk
api-uxaws-credentialsbruteforcecowriefortigateiso27001malware-deliveryrevproxy
Attack Intelligence
MITRE ATT&CK Techniques
T1059.004 - Unix Shell, T1078 - Valid Accounts, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.001 - Password Guessing, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1496 - Resource Hijacking
Noticed
5 times
Protocols Attacked
aws
Open Ports Detected
22
Geographic Location
Country
Switzerland
City
Zurich
Region
Zurich
Coordinates
47.3643, 8.5437
Network Information
ASN
AS402253
Organization
SKN Subnet & Telecom Ltd
Network
AS402253 SKN Subnet & Telecom Ltd
WHOIS Information
NetRange
209.99.184.0 - 209.99.191.255
CIDR
209.99.184.0/21
NetName
SSTL-49
NetHandle
NET-209-99-184-0-1
Parent
NET209 (NET-209-0-0-0-0)
NetType
Direct Allocation
Organization
SKN Subnet & Telecom Ltd (SSTL-49)
RegDate
2026-04-07
Updated
2026-09-11
Comment
https://skntelecom.com
Ref
https://rdap.arin.net/registry/ip/209.99.184.0
OrgName
SKN Subnet & Telecom Ltd
OrgId
SSTL-49
Address
Harnilton Development
City
Charlestown
Country
KN
OrgAbuseHandle
ABUSE9540-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-869-569-0074
OrgAbuseEmail
abuse@skntelecom.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE9540-ARIN
OrgTechHandle
CORPO54-ARIN
OrgTechName
Corporation, SGC
OrgTechPhone
+1-869-469-0074
Attack Logs
DateTarget LocationProtocolLink
2026-10-09 Webexploit Aws Credentials Ip List 2026 10 09 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 209.99.189.217 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.