105.242.209.14 Threat Intelligence - South Africa | IP Address Lookup
ipinfopage
Share on:
General
IP Address
105.242.209.14
Location
πΏπ¦ Benoni, South Africa
Network
AS36994
Threat Score
37/100
Attack Intelligence
Noticed
16 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1101195143587993995
Geographic Location
Country
South Africa
City
Benoni
Region
Gauteng
Coordinates
-26.1833, 28.3167
Network Information
ASN
AS36994
Organization
Vodacom
Network
AS36994 Vodacom
WHOIS Information
inetnum
105.242.0.0 - 105.242.255.255
netname
Vodacom_ENS
descr
Vodacom_ENS
country
ZA
admin-c
JH2-AFRINIC
tech-c
JH2-AFRINIC
status
ASSIGNED PA
mnt-by
VODACOM-MNT
parent
105.240.0.0 - 105.255.255.255
person
Jacques Hendricks
address
Vodacom PTY (Ltd)
phone
tel:+27-21-940-9498
nic-hdl
JH2-AFRINIC
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-04 | Toronto, Canada | SSH | View Log |
| 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 |
| 2026-08-29 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-29 | Toronto, Canada | SSH | 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 105.242.209.14 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.