154.73.87.131 Threat Intelligence - Botswana | IP Address Lookup
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General
IP Address
154.73.87.131
Location
🇧🇼 Gaborone, Botswana
Network
AS327776
Threat Score
40/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
14 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
13714322254434454655877071
Geographic Location
Country
Botswana
City
Gaborone
Region
Gaborone
Coordinates
-24.6437, 25.9112
Network Information
ASN
AS327776
Organization
STATURE (PTY) LTD
Network
AS327776 STATURE (PTY) LTD
WHOIS Information
inetnum
154.73.87.0 - 154.73.87.255
netname
Staturenetwork-clientsnetwork-DynamicNAT-Part2
descr
only used for clients network for their public services over the internet backbone as well as dynamic NAT for private range.
country
BW
admin-c
JK21-AFRINIC
tech-c
JK21-AFRINIC
status
ASSIGNED PA
mnt-by
STATURE-MNT
parent
154.73.84.0 - 154.73.87.255
person
John Koppolu
nic-hdl
JK21-AFRINIC
address
Plot 1266 Luthuli Rd, Gaborone, Botswana.
phone
tel:+267-77-899-951
route
154.73.87.0/24
origin
AS327776
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-03 | Toronto, Canada | SSH | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 154.73.87.131 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.