41.161.90.114 Threat Intelligence and Host Information
Dec 08, 2025
ipinfopage
General
IP Address
41.161.90.114
Location
🇿🇦 Eden Glen, South Africa
Network
AS36937
Threat Score
15/100
Attack Intelligence
Open Ports Detected
2000
Geographic Location
Country
South Africa
City
Eden Glen
Region
Gauteng
Coordinates
-26.1336, 28.1748
Network Information
ASN
AS36937
Organization
Neotel
Network
AS36937 Neotel
WHOIS Information
inetnum
41.160.0.0 - 41.163.255.255
netname
Neotel_GAU
descr
AS36937 Route Object
country
MU
org
ORG-LTOL1-AFRINIC
admin-c
AS116-AFRINIC
tech-c
MK122-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
MU
phone
tel:+230-466-7620
mnt-ref
LIQUID-TOL-MNT
person
Rob Davelaar
nic-hdl
RD10-AFRINIC
route
41.161.90.0/24
origin
AS36937
- Country: South Africa
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
Malware Detected on Host
Count: 1 fefec3ae584bf6d7f23531f5ee69cf0a1add1dd92ffd30d9bdee8089f09ba172
CVEs Detected
CVE-2007-4723 CVE-2009-0796 CVE-2009-2299 CVE-2009-2940 CVE-2009-3720 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-2020-29396 CVE-2021-32052 CVE-2022-2255 CVE-2023-36632 CVE-2023-38709 CVE-2024-24795 CVE-2024-27316 CVE-2024-36387 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 41.161.90.114 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.