14.22.75.171 Threat Intelligence and Host Information

General

IP Address
14.22.75.171
IPv4 Address
Location
🇨🇳 China
CN
Network
AS4134
Chinanet
Threat Score
45/100
Medium Risk
bruteforcebruteforceBruteforceBrute-Forcedigitaloceanportscan
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
10911
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS4134
Organization
Chinanet
Network
AS4134 Chinanet
WHOIS Information
inetnum
14.16.0.0 - 14.31.255.255
netname
CHINANET-GD
descr
China Telecom
country
CN
admin-c
CH93-AP
tech-c
CH93-AP
abuse-c
AC1573-AP
status
ALLOCATED PORTABLE
notify
abuse_gdnoc@189.cn
mnt-by
MAINT-CHINANET-GD
mnt-lower
MAINT-CHINANET-GD
mnt-irt
IRT-CHINANET-CN
last-modified
2021-05-12T09:06:58Z
irt
IRT-CHINANET-CN
address
NO.18,RO. ZHONGSHANER,YUEXIU DISTRIC,GUANGZHOU
e-mail
abuse_gdicnoc@163.com
abuse-mailbox
abuse_gdicnoc@163.com
role
ABUSE CHINANETCN
phone
+86-20-87189274
nic-hdl
IC83-AP
person
IPMASTER CHINANET-GD
fax-no
+86-20-87189274
Attack Logs
Date Target Location Protocol Link
2026-04-23 Digitaloceanlondon-Redis MULTIPLE View Log

  • Country: China
  • Network:
  • Noticed: 7 times
  • Protocols Attacked: portscan redis
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35385 CVE-2026-35386 CVE-2026-35387 CVE-2026-35388 CVE-2026-35414

Disclaimer
This page contains threat intelligence information for the IPv4 address 14.22.75.171 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.