196.3.101.22 Threat Intelligence - Mozambique | IP Address Lookup
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General
IP Address
196.3.101.22
Location
🇲🇿 Mozambique
Network
AS31960
Threat Score
0/100
Attack Intelligence
Noticed
1 time
Protocols Attacked
web
Geographic Location
Country
Mozambique
City
Unknown
Region
Unknown
Coordinates
-18.2500, 35.0000
Network Information
ASN
AS31960
Organization
Eduardo Mondlane University
Network
AS31960 Eduardo Mondlane University
WHOIS Information
inetnum
196.3.96.0 - 196.3.103.255
netname
EMUNET
descr
Eduardo Mondlane University
country
MZ
org
ORG-EMU1-AFRINIC
admin-c
DB19-AFRINIC
tech-c
AFPG-AFRINIC
status
ASSIGNED PI
mnt-by
AFRINIC-HM-MNT
mnt-lower
MAINT-MZ-CIUEM
mnt-domains
MAINT-MZ-CIUEM
parent
196.0.0.0 - 196.255.255.255
organisation
ORG-EMU1-AFRINIC
org-name
Eduardo Mondlane University
org-type
EU-PI
address
Eduardo Mondlane University Address, Center for Informatics
phone
tel:+258-82-300-3920
mnt-ref
AFRINIC-HM-MNT
person
Antonio Francisco Paulino A Godinho
nic-hdl
AFPG-AFRINIC
fax-no
tel:+258-21-486-631
route
196.3.101.0/24
origin
AS31960
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-15 | Cfglobal Web | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 196.3.101.22 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.