14.103.139.5 Threat Intelligence and Host Information

General

IP Address
14.103.139.5
IPv4 Address
Location
🇨🇳 China
CN
Network
AS
Threat Score
40/100
Medium Risk
01.10.20252025BruteforceBruteForceBrute-Forceciscocowrie
Attack Intelligence
Open Ports Detected
11111
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS
Organization
Network
WHOIS Information
inetnum
14.103.0.0 - 14.103.255.255
netname
VOLCANO-ENGINE
descr
China Internet Network Information Center
country
CN
admin-c
IP50-AP
tech-c
IP50-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
2023-07-10T07:15:54Z
irt
IRT-VOLCANO-ENGINE-CN
address
1309, 13/F, Building 4, Zijin Digital Park, Haidian District, Beijing
e-mail
gnoc@bytedance.com
abuse-mailbox
ipas@cnnic.cn
role
ABUSE CNNICCN
phone
+86-10-13051468788
nic-hdl
YW7147-AP
person
Chen Qi
route
14.103.139.0/24
origin
AS137718
Attack Logs
Date Target Location Protocol Link
2025-10-01 Perth, Australia MULTIPLE View Log

  • Country: China
  • Network:
  • Noticed: 9 times
  • Protocols Attacked: SSH
  • Countries Attacked: Finland, France, Germany, Malaysia, Poland, Sweden, United States of America

CVEs Detected

CVE-2023-31417 CVE-2023-31418 CVE-2023-31419 CVE-2023-46673 CVE-2023-46674 CVE-2023-49921 CVE-2024-23444 CVE-2024-23450 CVE-2024-43709 CVE-2025-50077 CVE-2025-50078 CVE-2025-50079 CVE-2025-50080 CVE-2025-50081 CVE-2025-50082 CVE-2025-50083 CVE-2025-50084 CVE-2025-50085 CVE-2025-50086 CVE-2025-50087 CVE-2025-50088 CVE-2025-50091 CVE-2025-50092 CVE-2025-50093 CVE-2025-50096 CVE-2025-50097 CVE-2025-50098 CVE-2025-50099 CVE-2025-50100 CVE-2025-50101 CVE-2025-50102 CVE-2025-50104

Disclaimer
This page contains threat intelligence information for the IPv4 address 14.103.139.5 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.