41.162.106.180 Threat Intelligence - South Africa | IP Address Lookup

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General

IP Address
41.162.106.180
IPv4 Address
Location
πŸ‡ΏπŸ‡¦ Durban, South Africa
ZA
Network
AS36937
Liquid Telecommunications South Africa (...
Threat Score
5/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
fake mitre
Geographic Location
Country
South Africa
City
Durban
Region
KwaZulu-Natal
Coordinates
-29.8553, 31.0428
Network Information
ASN
AS36937
Organization
Liquid Telecommunications South Africa (Pty) Ltd
Network
AS36937 Liquid Telecommunications South Africa (Pty) Ltd
WHOIS Information
inetnum
41.160.0.0 - 41.163.255.255
netname
Neotel_GAU
descr
Neotel_Gauteng _Assignment
country
ZA
org
ORG-LTOL1-AFRINIC
admin-c
DH19-AFRINIC
tech-c
DH19-AFRINIC
status
ASSIGNED PA
mnt-by
LIQUID-TOL-MNT
mnt-lower
LIQUID-TOL-MNT
mnt-domains
LIQUID-TOL-MNT
parent
41.160.0.0 - 41.175.255.255
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
Andrew Alston
nic-hdl
AA110-AFRINIC
route
41.162.106.0/24
origin
AS36937
Attack Logs
DateTarget LocationProtocolLink
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 41.162.106.180 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.