27.40.98.231 Threat Intelligence and Host Information
Apr 04, 2026
ipinfopage
General
IP Address
27.40.98.231
Location
🇨🇳 Huizhou, China
Network
AS17816
Threat Score
41/100
Attack Intelligence
Open Ports Detected
123
Geographic Location
Country
China
City
Huizhou
Region
Guangdong
Coordinates
23.1115, 114.4152
Network Information
ASN
AS17816
Organization
China Unicom IP network China169 Guangdong province
Network
AS17816 China Unicom IP network China169 Guangdong province
WHOIS Information
inetnum
27.40.0.0 - 27.47.255.255
netname
UNICOM-GD
descr
China Unicom Guangdong 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-GD
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2010-10-22T01:46:03Z
irt
IRT-CU-CN
address
XinShiKong Plaza,No 666 Huangpu Rd. Guangzhou 510627,China
e-mail
gdipnoc@chinaunicom.cn
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+86-20-22214174
nic-hdl
RP181-AP
person
runkeng pan
fax-no
+86-20-22212266-4174
route
27.40.0.0/14
origin
AS17816
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-04-03 | 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
Disclaimer
This page contains threat intelligence information for the IPv4 address 27.40.98.231 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.