45.221.74.234 Threat Intelligence and Host Information

General

IP Address
45.221.74.234
IPv4 Address
Location
🇺🇬 Kampala, Uganda
UG
Network
AS37027
SIMBANET-AS
Threat Score
45/100
Medium Risk
5060Apacheauto-generatedsecuritybruteforceBruteforceBrute-Force
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
1723
Geographic Location
Country
Uganda
City
Kampala
Region
Central Region
Coordinates
0.3162, 32.5657
Network Information
ASN
AS37027
Organization
SIMBANET-AS
Network
AS37027 SIMBANET-AS
WHOIS Information
inetnum
45.221.74.0 - 45.221.74.255
netname
UG_Main_3
descr
Simbanet (U) Block 3
country
UG
admin-c
RM52-AFRINIC
tech-c
RM52-AFRINIC
status
ASSIGNED PA
mnt-by
SN-MNT
parent
45.221.72.0 - 45.221.79.255
person
Richard Malagala
address
Kampala
phone
tel:+256-750-555995
nic-hdl
RM52-AFRINIC
route
45.221.74.0/24
origin
AS37027
Attack Logs
Date Target Location Protocol Link
2025-09-26 London, UK SSH View Log

  • Country: Uganda
  • Network:
  • Noticed: 17 times
  • Protocols Attacked: ssh
  • Countries Attacked: Australia, Indonesia
  • Passive DNS Results: erp.iuea.ac.ug

CVEs Detected

CVE-2006-20001 CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2022-22719 CVE-2022-22720 CVE-2022-22721 CVE-2022-23943 CVE-2022-26377 CVE-2022-28330 CVE-2022-28614 CVE-2022-28615 CVE-2022-29404 CVE-2022-30556 CVE-2022-31813 CVE-2022-36760 CVE-2022-37436 CVE-2023-25690 CVE-2023-27522 CVE-2023-31122 CVE-2023-38709 CVE-2023-45802 CVE-2024-24795 CVE-2024-27316 CVE-2024-38472 CVE-2024-38473 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-39573 CVE-2024-40898 CVE-2024-42516 CVE-2024-43204 CVE-2024-43394 CVE-2024-47252 CVE-2025-23048 CVE-2025-49630 CVE-2025-49812 CVE-2025-53020

Disclaimer
This page contains threat intelligence information for the IPv4 address 45.221.74.234 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.