156.155.253.31 Threat Intelligence - South Africa | IP Address Lookup
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General
IP Address
156.155.253.31
Location
πΏπ¦ Johannesburg, South Africa
Network
AS327979
Threat Score
54/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1595 - Active Scanning
Noticed
7 times
Protocols Attacked
combined portscan
Countries Attacked
Australia
Passive DNS
dev.greensolar.online
Open Ports Detected
224438080838883993995
Geographic Location
Country
South Africa
City
Johannesburg
Region
Gauteng
Coordinates
-26.2309, 28.0583
Network Information
ASN
AS327979
Organization
DIAMATRIX C.C
Network
AS327979 DIAMATRIX C.C
Associated CVEs
WHOIS Information
NetRange
156.155.0.0 - 156.155.255.255
CIDR
156.155.0.0/16
NetName
AFRINIC-ERX-156-155-0-0
NetHandle
NET-156-155-0-0-1
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/156.155.0.0
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Level 11ABC
City
Ebene
Country
MU
OrgTechHandle
GENER11-ARIN
OrgTechName
Generic POC
OrgTechPhone
+230 4666616
OrgTechEmail
abusepoc@afrinic.net
OrgTechRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
OrgAbuseHandle
GENER11-ARIN
OrgAbuseName
Generic POC
OrgAbusePhone
+230 4666616
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-29 | Vultrtokyo Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 156.155.253.31 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.