103.239.204.208 Threat Intelligence - China | IP Address Lookup

Share on:

General

IP Address
103.239.204.208
IPv4 Address
Location
🇨🇳 China
CN
Network
AS59043
Guangzhou LanDong Information technology...
Threat Score
30/100
Medium Risk
cyber securityiocmaliciousNextrayphishingtsec
Attack Intelligence
Noticed
34 times
Protocols Attacked
f5
Countries Attacked
Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS59043
Organization
Guangzhou LanDong Information technology co., LTD
Network
AS59043 Guangzhou LanDong Information technology co., LTD
Associated CVEs
WHOIS Information
inetnum
103.239.204.0 - 103.239.207.255
netname
LDNET
descr
Guangzhou LanDong Information technology co., LTD
country
CN
admin-c
ML2176-AP
tech-c
ML2176-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNNIC-AP
mnt-irt
IRT-LDNET-CN
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNNIC-AP
last-modified
2023-11-28T00:56:22Z
irt
IRT-LDNET-CN
address
Room 2502,No.445(The North Tower),Dong Feng Zhong Road,Guang Zhou
e-mail
pyf@bigone.com.cn
abuse-mailbox
pyf@bigone.com.cn
role
ABUSE CNNICCN
phone
+000000000
nic-hdl
AC1601-AP
person
Yongfa Pan
Attack Logs
DateTarget LocationProtocolLink
2026-10-19 Webexploit F5 Bigip Icontrol Ip List 2026 10 19 Multiple View Log
2026-10-19 Cve 2022 1388 Attacker Ip List 2026 10 19 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.239.204.208 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.