140.83.33.115 Threat Intelligence - Japan | IP Address Lookup
ipinfopage
General
IP Address
140.83.33.115
Location
🇯🇵 Tokyo, Japan
Network
AS31898
Threat Score
40/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
10 times
Protocols Attacked
portscan ssh
Countries Attacked
Australia, China, Finland, France, Germany, Malaysia, Poland, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America
Passive DNS
ar.tn4.com
Open Ports Detected
3389
Geographic Location
Country
Japan
City
Tokyo
Region
Tokyo
Coordinates
35.8184, 140.1232
Network Information
ASN
AS31898
Organization
ORACLE-BMC-31898
Network
AS31898 ORACLE-BMC-31898
WHOIS Information
NetRange
140.83.0.0 - 140.83.255.255
CIDR
140.83.0.0/16
NetName
APNIC-ERX-140-83-0-0
NetHandle
NET-140-83-0-0-1
Parent
NET140 (NET-140-0-0-0-0)
NetType
Early Registrations, Transferred to APNIC
Organization
Asia Pacific Network Information Centre (APNIC)
RegDate
2003-07-14
Updated
2009-10-08
Comment
This IP address range is not registered in the ARIN database.
Ref
https://rdap.arin.net/registry/ip/140.83.0.0
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
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-24 | Vultrtokyo | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 140.83.33.115 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.