41.60.246.52 Threat Intelligence - Kenya | IP Address Lookup
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General
IP Address
41.60.246.52
Location
🇰🇪 Nairobi, Kenya
Network
AS30844
Threat Score
5/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Open Ports Detected
443
Geographic Location
Country
Kenya
City
Nairobi
Region
Nairobi County
Coordinates
-1.2841, 36.8155
Network Information
ASN
AS30844
Organization
Liquid Telecommunications Ltd
Network
AS30844 Liquid Telecommunications Ltd
WHOIS Information
inetnum
41.60.0.0 - 41.60.255.255
netname
RTA1-20100513
descr
Real Time Technologies Alliance - Africa
country
ZM
org
ORG-LTOL1-AFRINIC
admin-c
RD10-AFRINIC
tech-c
PS44-AFRINIC
status
ALLOCATED PA
mnt-by
AFRINIC-HM-MNT
mnt-lower
LIQUID-TOL-MNT
parent
41.0.0.0 - 41.255.255.255
organisation
ORG-LTOL1-AFRINIC
org-name
Liquid Telecommunications Operations Limited
org-type
LIR
address
10th Floor,
phone
tel:+254-733-222204
mnt-ref
AFRINIC-HM-MNT
person
Damian Vermeulen
nic-hdl
DV5-AFRINIC
route
41.60.246.0/24
origin
AS30844
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-24 | Webexploit Mitre T1593 Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-24 | Webexploit Fake Googlebot Ip List 2026 10 24 | Multiple | View Log |
| 2026-10-21 | Webexploit Mitre T1593 Ip List 2026 10 21 | Multiple | View Log |
| 2026-10-21 | Webexploit Fake Googlebot Ip List 2026 10 21 | Multiple | View Log |
| 2026-07-16 | Webexploit Mitre T1593 Ip List 2026 07 16 | Multiple | View Log |
| 2026-07-16 | Webexploit Fake Googlebot Ip List 2026 07 16 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 41.60.246.52 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.