64.34.94.207 Threat Intelligence - Japan | IP Address Lookup
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General
IP Address
64.34.94.207
Location
🇯🇵 Tokyo, Japan
Network
AS396356
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1059.004 - Unix Shell, T1059 - Command and Scripting Interpreter, T1078 - Valid Accounts, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.001 - Password Guessing, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1210 - Exploitation of Remote Services, T1496 - Resource Hijacking, T1595.002 - Vulnerability Scanning
Noticed
12 times
Protocols Attacked
telnet
Open Ports Detected
229001
Geographic Location
Country
Japan
City
Tokyo
Region
Tokyo
Coordinates
35.6893, 139.6899
Network Information
ASN
AS396356
Organization
Latitude.sh
Network
AS396356 Latitude.sh
WHOIS Information
NetRange
64.34.80.0 - 64.34.95.255
CIDR
64.34.80.0/20
NetName
ML-1213
NetHandle
NET-64-34-80-0-1
Parent
NET64 (NET-64-0-0-0-0)
NetType
Direct Allocation
Organization
Latitude.sh (ML-1213)
RegDate
2025-04-28
Updated
2025-04-28
Ref
https://rdap.arin.net/registry/ip/64.34.80.0
OrgName
Latitude.sh
OrgId
ML-1213
City
Wilmington
StateProv
DE
PostalCode
19804
Country
US
OrgAbuseHandle
ABUSE8559-ARIN
OrgAbuseName
Abuse reports
OrgAbusePhone
+55 11 98182 5024
OrgAbuseEmail
abuse@latitude.sh
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE8559-ARIN
OrgTechHandle
NETWO9762-ARIN
OrgTechName
Network Engineering
OrgTechPhone
+55 11 97622-4914
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-17 | Vultrtokyo | TELNET | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 64.34.94.207 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.