154.72.204.131 Threat Intelligence - Uganda | IP Address Lookup
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General
IP Address
154.72.204.131
Location
πΊπ¬ Kampala, Uganda
Network
AS327724
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
18 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1101432077208220832086208720952096224435380801380148089844385549091993
Geographic Location
Country
Uganda
City
Kampala
Region
Central Region
Coordinates
0.3210, 32.5714
Network Information
ASN
AS327724
Organization
National Information Technology Authority Uganda
Network
AS327724 National Information Technology Authority Uganda
Associated CVEs
WHOIS Information
inetnum
154.72.204.0 - 154.72.204.255
netname
NITA-U
descr
NITA-U
country
UG
admin-c
CO28-AFRINIC
tech-c
LM21-AFRINIC
status
ASSIGNED PA
mnt-by
NITA-UG-MNT
parent
154.72.192.0 - 154.72.223.255
person
Chris Oleke
nic-hdl
CO28-AFRINIC
address
Palm Courts, Plot 7A, Rotary Avenue
phone
tel:+256-782-330258
route
154.72.192.0/19
origin
AS327724
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 |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 154.72.204.131 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.