113.201.65.26 Threat Intelligence and Host Information
May 13, 2026
ipinfopage
General
IP Address
113.201.65.26
Location
🇨🇳 Xi'an, China
Network
AS4837
Threat Score
41/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
China
City
Xi'an
Region
Shaanxi
Coordinates
34.2635, 108.9246
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
113.200.0.0 - 113.201.255.255
netname
CNCGROUP-SN
descr
CNC Group CHINA169 Shannxi Province Network
country
CN
admin-c
CH1302-AP
tech-c
CH1302-AP
abuse-c
AC1718-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNCGROUP-RR
mnt-lower
MAINT-CNCGROUP-SN
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2008-12-10T04:26:01Z
irt
IRT-CU-CN
address
Xi’an, Shannxi, China
e-mail
quyj@china-netcom.com
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+86-29-88192060
nic-hdl
CH679-AP
person
CNCGroup-SN Hostmaster
fax-no
+86-29-88192037
route
113.200.0.0/15
origin
AS4837
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-04-14 | Vultrtokyo | SSH | View Log |
- Country: China
- Network:
- Noticed: 3 times
- Protocols Attacked: portscan ssh
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 113.201.65.26 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.