139.255.50.117 Threat Intelligence - Indonesia | IP Address Lookup

General

IP Address
139.255.50.117
IPv4 Address
Location
🇮🇩 Jakarta, Indonesia
ID
Network
AS9905
Linknet ASN
Threat Score
60/100
High Risk
0xrh0d4m1nadbauthentication-failureBlocklistbrute-forcebruteforcecowriecredential-dumping
Attack Intelligence
MITRE ATT&CK Techniques
T1021 - Remote Services, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1210 - Exploitation of Remote Services, 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
13513914333391443445598580
Geographic Location
Country
Indonesia
City
Jakarta
Region
Jakarta
Coordinates
-6.2114, 106.8446
Network Information
ASN
AS9905
Organization
Linknet ASN
Network
AS9905 Linknet ASN
WHOIS Information
NetRange
139.255.0.0 - 139.255.255.255
CIDR
139.255.0.0/16
NetName
APNIC-ERX-139-255-0-0
NetHandle
NET-139-255-0-0-1
Parent
NET139 (NET-139-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2010-11-03
Updated
2010-11-17
Comment
This IP address range is not registered in the ARIN database.
Ref
https://rdap.arin.net/registry/ip/139.255.0.0
OrgName
Asia Pacific Network Information Centre
OrgId
APNIC
Address
PO Box 3646
City
South Brisbane
StateProv
QLD
PostalCode
4101
Country
AU
OrgAbuseHandle
AWC12-ARIN
OrgAbuseName
APNIC Whois Contact
OrgAbusePhone
+61 7 3858 3188
OrgAbuseEmail
search-apnic-not-arin@apnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/AWC12-ARIN
OrgTechHandle
AWC12-ARIN
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 139.255.50.117 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.