102.212.64.41 Threat Intelligence - South Africa | IP Address Lookup
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General
IP Address
102.212.64.41
Location
πΏπ¦ Barkly East, South Africa
Network
AS329237
Threat Score
35/100
Attack Intelligence
Noticed
12 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
1611701172320002546558782918443993
Geographic Location
Country
South Africa
City
Barkly East
Region
Eastern Cape
Coordinates
-30.9653, 27.6044
Network Information
ASN
AS329237
Organization
Snowvalley Communications
Network
AS329237 Snowvalley Communications
WHOIS Information
inetnum
102.212.64.40 - 102.212.64.47
netname
Joe-Gqabi-Network
descr
Joe Gqabi Municipality
country
ZA
admin-c
WS36-AFRINIC
tech-c
WS36-AFRINIC
status
ASSIGNED PA
mnt-by
SC8-MNT
parent
102.212.64.0 - 102.212.65.255
person
Willem Steenkamp
nic-hdl
WS36-AFRINIC
address
43 Graham Street
phone
tel:+27-83-206-0779
route
102.212.64.0/23
origin
AS329237
org
ORG-SC8-AFRINIC
organisation
ORG-SC8-AFRINIC
org-name
Snowvalley Communications
org-type
LIR
mnt-ref
AFRINIC-HM-MNT
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 |
| 2026-08-29 | 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 102.212.64.41 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.