156.238.234.85 Threat Intelligence - Seychelles | IP Address Lookup
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General
IP Address
156.238.234.85
Location
πΈπ¨ Seychelles
Network
AS401696
Threat Score
30/100
Attack Intelligence
Noticed
5 times
Protocols Attacked
mitre
Countries Attacked
Malaysia
Open Ports Detected
80
Geographic Location
Country
Seychelles
City
Unknown
Region
Unknown
Coordinates
-4.5833, 55.6667
Network Information
ASN
AS401696
Organization
cognetcloud INC
Network
AS401696 cognetcloud INC
Associated CVEs
WHOIS Information
NetRange
156.238.0.0 - 156.238.255.255
CIDR
156.238.0.0/16
NetName
AFRINIC-ERX-156-238-0-0
NetHandle
NET-156-238-0-0-1
Parent
NET156 (NET-156-0-0-0-0)
NetType
Transferred to AfriNIC
Organization
African Network Information Center (AFRINIC)
RegDate
2010-11-03
Updated
2010-11-17
Comment
This IP address range is under AFRINIC responsibility.
Ref
https://rdap.arin.net/registry/ip/156.238.0.0
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Level 11ABC
City
Ebene
Country
MU
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
OrgAbuseEmail
abusepoc@afrinic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
OrgTechHandle
GENER11-ARIN
OrgTechName
Generic POC
OrgTechPhone
+230 4666616
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 |
| 2025-11-15 | Cve 2024 4577 Attacker Ip List 2025 11 15 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 156.238.234.85 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.