107.150.97.10 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
107.150.97.10
IPv4 Address
Location
🇺🇸 Los Angeles, United States
US
Network
AS135377
UCLOUD INFORMATION TECHNOLOGY (HK) LIMIT...
Threat Score
35/100
Medium Risk
Aggressive-Detectionb2bbankingblacklistbotnetbot_scannerbrute-forcebruteforce
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Noticed
16 times
Protocols Attacked
combined portscan telnet
Open Ports Detected
3389
Geographic Location
Country
United States
City
Los Angeles
Region
California
Coordinates
34.0544, -118.2440
Network Information
ASN
AS135377
Organization
UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
Network
AS135377 UCLOUD INFORMATION TECHNOLOGY (HK) LIMITED
WHOIS Information
NetRange
107.150.96.0 - 107.150.127.255
CIDR
107.150.96.0/19
NetName
ZL-LAX3-002
NetHandle
NET-107-150-96-0-1
Parent
NET107 (NET-107-0-0-0-0)
NetType
Direct Allocation
Organization
Zenlayer Inc (ZENLA-7)
RegDate
2013-12-10
Updated
2018-01-12
Ref
https://rdap.arin.net/registry/ip/107.150.96.0
OrgName
Zenlayer Inc
OrgId
ZENLA-7
Address
21700 Copley Dr Suite 350
City
Diamond Bar
StateProv
CA
PostalCode
91765
Country
US
OrgTechHandle
TANGR16-ARIN
OrgTechName
Tang, Ruifan
OrgTechPhone
+1-800-858-7986
OrgTechEmail
ruifan.tang@zenlayer.com
OrgTechRef
https://rdap.arin.net/registry/entity/TANGR16-ARIN
OrgNOCHandle
IPNOC27-ARIN
OrgNOCName
IPNOC
Attack Logs
DateTarget LocationProtocolLink
2026-09-05 Vultrtokyo TELNET View Log
2026-09-05 Vultrtokyo Combined Multiple View Log
2026-09-04 Vultrtokyo Combined Multiple View Log
2026-09-02 Vultrmelbournetest Combined Multiple View Log
2026-09-01 Digitaloceantoronto Combined Multiple View Log
2026-08-31 Vultrmelbournetest Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 107.150.97.10 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.