101.89.186.252 Threat Intelligence and Host Information
Oct 27, 2025
ipinfopage
General
IP Address
101.89.186.252
Location
🇨🇳 Shanghai, China
Network
AS4812
Threat Score
60/100
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Open Ports Detected
1701
Geographic Location
Country
China
City
Shanghai
Region
Shanghai
Coordinates
31.2222, 121.4581
Network Information
ASN
AS4812
Organization
China Telecom Group
Network
AS4812 China Telecom Group
WHOIS Information
inetnum
101.80.0.0 - 101.95.255.255
netname
CHINANET-SH
descr
Beijing 100032
country
CN
admin-c
CH93-AP
tech-c
CH93-AP
abuse-c
AC1573-AP
status
ALLOCATED PORTABLE
notify
ip-admin@mail.online.sh.cn
mnt-by
MAINT-CHINANET-SH
mnt-lower
MAINT-CHINANET-SH
mnt-routes
MAINT-CHINANET-SH
mnt-irt
IRT-CHINANET-CN
last-modified
2023-02-07T08:25:17Z
irt
IRT-CHINANET-CN
address
Room 2405,357 Songlin Road,Shanghai 200122
e-mail
shizhiming.sh@chinatelecom.cn
abuse-mailbox
anti-spam@chinatelecom.cn
role
ABUSE CHINANETCN
phone
+86-21-68405784
nic-hdl
WWQ4-AP
person
Weng Wen Qian
fax-no
+86-21-50623458
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-10-27 | Toronto, Canada | SSH | View Log |
- Country: China
- Network:
- Noticed: 50 times
- Protocols Attacked: ssh
- Countries Attacked: Australia, Finland, France, Germany, Indonesia, Poland, United States of America
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
Disclaimer
This page contains threat intelligence information for the IPv4 address 101.89.186.252 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.