123.100.226.79 Threat Intelligence - Malaysia | IP Address Lookup
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General
IP Address
123.100.226.79
Location
🇲🇾 Malaysia
Network
AS136170
Threat Score
7/100
Attack Intelligence
Protocols Attacked
combined portscan ssh
Open Ports Detected
1101432544346558770718443993995
Geographic Location
Country
Malaysia
City
Unknown
Region
Unknown
Coordinates
2.5000, 112.5000
Network Information
ASN
AS136170
Organization
PT. EXABYTES NETWORK INDONESIA
Network
AS136170 PT. EXABYTES NETWORK INDONESIA
WHOIS Information
inetnum
123.100.226.0 - 123.100.226.128
netname
EXBCOID-ID
descr
PT. EXABYTES NETWORK INDONESIA
country
ID
admin-c
PENI1-AP
tech-c
PENI1-AP
abuse-c
AE199-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-EXBCOID-ID
mnt-irt
IRT-EXBCOID-ID
last-modified
2021-02-24T13:05:01Z
irt
IRT-EXBCOID-ID
address
Cyber 2 Tower, 29th Floor, JL .HR Rasuna Said X5 No.13, Jakarta 12950
e-mail
abuse@exabytes.co.id
abuse-mailbox
abuse@exabytes.co.id
role
ABUSE EXBCOIDID
phone
+000000000
nic-hdl
AE199-AP
fax-no
+6567272277
route
123.100.226.0/24
origin
AS136170
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 |
| 2026-08-29 | Toronto, Canada | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 123.100.226.79 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.