110.77.149.131 Threat Intelligence - Thailand | IP Address Lookup
ipinfopage
General
IP Address
110.77.149.131
Location
🇹🇠Ongkharak, Thailand
Network
AS131090
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1190 - Exploit Public-Facing Application
Noticed
35 times
Protocols Attacked
mssql portscan
Countries Attacked
China, Germany, Russian Federation, Türkiye, United Kingdom of Great Britain and Northern Ireland, United States of America
Open Ports Detected
14334000443541808888
Geographic Location
Country
Thailand
City
Ongkharak
Region
Nakhon Nayok
Coordinates
14.2121, 101.1621
Network Information
ASN
AS131090
Organization
CAT TELECOM Public Company Ltd,CAT
Network
AS131090 CAT TELECOM Public Company Ltd,CAT
WHOIS Information
inetnum
110.77.128.0 - 110.77.159.255
netname
CAT-BB-NET
descr
10 Fl. 72. CAT TELECOM TOWER Bangrak Bangkok Thailand
country
TH
admin-c
PS474-AP
tech-c
PS474-AP
abuse-c
PS474-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-NTPCL-TH
mnt-irt
IRT-NTPCL-TH
last-modified
2025-11-19T23:59:29Z
notify
passakorn.s@ntplc.co.th
irt
IRT-NTPCL-TH
address
99 Chaengwattana Road, Thung Song Hong Subdistrict, Luk Si, Luksi Bangkok 10210
e-mail
pitoon.p@ntplc.co.th
abuse-mailbox
pitoon.p@ntplc.co.th
person
CAT Broadband
phone
+66-261-42138
nic-hdl
CB840-AP
fax-no
+66-2-6142270
route
110.77.149.0/24
origin
AS131090
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-22 | Toronto, Canada | MSSQL | View Log |
| 2026-07-22 | Vultrtokyo | MSSQL | View Log |
| 2026-07-22 | Vultrmelbournetest | MSSQL | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 110.77.149.131 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.