119.59.114.44 Threat Intelligence - Thailand | IP Address Lookup

General

IP Address
119.59.114.44
IPv4 Address
Location
🇹🇭 Thailand
TH
Network
AS56067
453 Ladplacout Jorakhaebua
Threat Score
50/100
Medium Risk
0xrh0d4m1nauthentication-failureBlocklistbrute-forcebruteforcecowriecredential-dumpingdatabase-attack
Attack Intelligence
MITRE ATT&CK Techniques
T1021 - Remote Services, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
39 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
1351433338947001598580
Geographic Location
Country
Thailand
City
Unknown
Region
Unknown
Coordinates
13.7442, 100.4608
Network Information
ASN
AS56067
Organization
453 Ladplacout Jorakhaebua
Network
AS56067 453 Ladplacout Jorakhaebua
WHOIS Information
inetnum
119.59.96.0 - 119.59.127.255
netname
METRABYTE-TH
descr
18 Floor CAT Telecom Tower
country
TH
org
ORG-MC4-AP
admin-c
MC1395-AP
tech-c
MC1395-AP
abuse-c
AM2606-AP
status
ALLOCATED PORTABLE
mnt-by
APNIC-HM
mnt-lower
MAINT-METRABYTE-TH
mnt-routes
MAINT-METRABYTE-TH
mnt-irt
IRT-METRABYTE-TH
last-modified
2020-07-07T14:15:15Z
irt
IRT-METRABYTE-TH
address
18 Floor CAT Telecom Tower 72 Charoenkrung Road Bangrak Bangkok THAILAND 10501
e-mail
apinut@metrabyte.cloud
abuse-mailbox
abuse@metrabyte.cloud
organisation
ORG-MC4-AP
org-name
Metrabyte Co.,Ltd
org-type
LIR
phone
+66-865673201
fax-no
+66-21054322
mnt-ref
APNIC-HM
Attack Logs
DateTarget LocationProtocolLink
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 119.59.114.44 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.