103.22.180.130 Threat Intelligence - Thailand | IP Address Lookup
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General
IP Address
103.22.180.130
Location
🇹🇠Thailand
Network
AS56309
Threat Score
45/100
Attack Intelligence
Noticed
10 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
11022254434658443993
Geographic Location
Country
Thailand
City
Unknown
Region
Unknown
Coordinates
13.7442, 100.4608
Network Information
ASN
AS56309
Organization
Siamdata Communication Co.,Ltd.
Network
AS56309 Siamdata Communication Co.,Ltd.
Associated CVEs
WHOIS Information
inetnum
103.22.180.128 - 103.22.180.255
netname
ReadyIDC-TH
descr
ReadyIDC CO.,LTD.
country
TH
admin-c
RT676-AP
tech-c
RT676-AP
abuse-c
RT676-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-READYIDC
mnt-lower
MAINT-READYIDC
mnt-routes
MAINT-READYIDC
mnt-irt
IRT-READYIDC-AP
last-modified
2023-05-26T06:03:44Z
irt
IRT-READYIDC-AP
address
READYIDC COMPANY LIMITED 391/2 Pho Thong Tower, FL.5-7 Bond Street Rd. Bangpood, Pakkret, Nonthaburi 11120 Thailand
e-mail
admin@readyidc.com
abuse-mailbox
abuse@readyidc.com
role
ReadyIDC TH
phone
+66025034265
nic-hdl
RT676-AP
notify
abuse@readyidc.com
route
103.22.180.0/24
origin
AS56309
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 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 |
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.22.180.130 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.