14.103.18.5 Threat Intelligence - China | IP Address Lookup
ipinfopage
General
IP Address
14.103.18.5
Location
🇨🇳 China
Network
ASN/A
Threat Score
60/100
Attack Intelligence
MITRE ATT&CK Techniques
T1005 - Data from Local System, T1033 - System Owner/User Discovery, T1037 - Boot or Logon Initialization Scripts, T1041 - Exfiltration Over C2 Channel, T1046 - Network Service Scanning, T1059 - Command and Scripting Interpreter, T1070 - Indicator Removal on Host, T1071 - Application Layer Protocol, T1083 - File and Directory Discovery, T1098 - Account Manipulation, T1105 - Ingress Tool Transfer, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1595 - Active Scanning
Noticed
15 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
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
ASN/A
Organization
Unknown
Network
Unknown
WHOIS Information
inetnum
14.103.0.0 - 14.103.255.255
netname
VOLCANO-ENGINE
descr
Beijing Volcano Engine Technology Co., Ltd.
country
CN
admin-c
YW7147-AP
tech-c
JS4370-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNNIC-AP
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNNIC-AP
mnt-irt
IRT-VOLCANO-ENGINE-CN
last-modified
2022-05-19T06:54:29Z
irt
IRT-VOLCANO-ENGINE-CN
address
1309, 13/F, Building 4, Zijin Digital Park, Haidian District, Beijing
e-mail
gnoc@bytedance.com
abuse-mailbox
gnoc@bytedance.com
role
ABUSE CNNICCN
phone
+000000000
nic-hdl
AC1601-AP
person
Liu Nian
route
14.103.18.0/24
origin
AS137718
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-18 | Vultrmelbournetest | SSH | View Log |
| 2026-07-15 | Vultrtokyo | SSH | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 14.103.18.5 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.