102.220.200.227 Threat Intelligence - Uganda | IP Address Lookup

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General

IP Address
102.220.200.227
IPv4 Address
Location
πŸ‡ΊπŸ‡¬ Uganda
UG
Network
AS328813
Uganda Christian University
Threat Score
35/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Passive DNS
mailx.ucu.ac.ug
Open Ports Detected
44358780993995
Geographic Location
Country
Uganda
City
Unknown
Region
Unknown
Coordinates
1.2500, 32.5000
Network Information
ASN
AS328813
Organization
Uganda Christian University
Network
AS328813 Uganda Christian University
WHOIS Information
inetnum
102.220.200.0 - 102.220.203.255
netname
UCU-net
descr
Uganda Christian University
country
UG
org
ORG-UCU1-AFRINIC
admin-c
RK53-AFRINIC
tech-c
AN78-AFRINIC
status
ASSIGNED PI
mnt-by
AFRINIC-HM-MNT
mnt-lower
UCU-MNT
mnt-domains
UCU-MNT
mnt-irt
IRT-UCU-net
parent
102.0.0.0 - 102.255.255.255
organisation
ORG-UCU1-AFRINIC
org-name
Uganda Christian University
org-type
EU-PI
address
Plot 67-173, Mukono Hill, Bishop Tucker Road
phone
tel:+256-794-770854
mnt-ref
AFRINIC-HM-MNT
person
Amos Nuwasiima
nic-hdl
AN78-AFRINIC
route
102.220.200.0/23
origin
AS328813
Attack Logs
DateTarget LocationProtocolLink
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 102.220.200.227 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.