102.202.242.194 Threat Intelligence - Nigeria | IP Address Lookup
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General
IP Address
102.202.242.194
Location
🇳🇬 Nigeria
Network
AS329716
Threat Score
8/100
Attack Intelligence
Protocols Attacked
combined portscan ssh
Open Ports Detected
2244380
Geographic Location
Country
Nigeria
City
Unknown
Region
Unknown
Coordinates
10.0000, 8.0000
Network Information
ASN
AS329716
Organization
DMK Telecommunication Nig LTD
Network
AS329716 DMK Telecommunication Nig LTD
Associated CVEs
WHOIS Information
inetnum
102.202.242.0 - 102.202.242.255
netname
DMK-HOSTING
descr
DMK hosting services (web, mail)
country
NG
admin-c
MM266-AFRINIC
tech-c
MM266-AFRINIC
status
ASSIGNED PA
mnt-by
DTNL1-MNT
parent
102.202.240.0 - 102.202.243.255
person
Muazu Musa
nic-hdl
MM266-AFRINIC
address
No. 992 Kurna Layin Kara street, Dala LGA Kano
phone
tel:+234-703-698-8689
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-03 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-03 | Toronto, Canada | SSH | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-29 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-28 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-28 | Toronto, Canada | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 102.202.242.194 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.