111.68.4.14 Threat Intelligence - Hong Kong | IP Address Lookup
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General
IP Address
111.68.4.14
Location
ðŸ‡ðŸ‡° Hong Kong
Network
AS45753
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer
Noticed
11 times
Protocols Attacked
combined ssh
Open Ports Detected
223000808000
Geographic Location
Country
Hong Kong
City
Unknown
Region
Unknown
Coordinates
22.2578, 114.1657
Network Information
ASN
AS45753
Organization
Netsec Limited
Network
AS45753 Netsec Limited
Associated CVEs
WHOIS Information
inetnum
111.68.4.0 - 111.68.4.255
netname
Netsec
descr
Netsec
country
HK
admin-c
NN541-AP
tech-c
NN541-AP
abuse-c
AA2052-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-APACSERVER-HK
mnt-irt
IRT-APACSERVER-HK
last-modified
2025-05-16T19:07:35Z
irt
IRT-APACSERVER-HK
address
Unit 2607-08, 26/F, Billion Plaza, 8 Cheung Yue Street, Cheung Sha Wan, KLN, H.K.
e-mail
network@apacserver.hk
abuse-mailbox
network@apacserver.hk
role
ABUSE APACSERVERHK
phone
+000000000
nic-hdl
AA2052-AP
route
111.68.4.0/24
origin
AS45753
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-11 | Toronto, Canada | SSH | View Log |
| 2026-08-11 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-10 | Toronto, Canada | SSH | View Log |
| 2026-08-10 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-09 | Toronto, Canada | SSH | View Log |
| 2026-08-09 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-07 | Toronto, Canada | SSH | View Log |
| 2026-08-07 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 111.68.4.14 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.