1.119.158.77 Threat Intelligence and Host Information

General

IP Address
1.119.158.77
IPv4 Address
Location
🇨🇳 China
CN
Network
AS4847
China Networks Inter-Exchange
Threat Score
41/100
Medium Risk
cowriedionaeafatthoneytrapmailoneyp0fportscanscanners
Attack Intelligence
Open Ports Detected
5003
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS4847
Organization
China Networks Inter-Exchange
Network
AS4847 China Networks Inter-Exchange
WHOIS Information
inetnum
1.119.128.0 - 1.119.255.255
netname
WISHNET
descr
Chaoyang district,Beijing,China
country
CN
admin-c
IP50-AP
tech-c
IP50-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNNIC-AP
mnt-irt
IRT-WISHNET-CN
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNNIC-AP
last-modified
2019-10-16T08:41:45Z
irt
IRT-WISHNET-CN
address
No2,Shang8,Chenjialin,Gaobeidian xiang,Chaoyang district,Beijing,China
e-mail
quhuizhao@wishisp.com
abuse-mailbox
ipas@cnnic.cn
role
ABUSE CNNICCN
phone
+86-18910150710
nic-hdl
YW7065-AP
person
Qu Huizhao
Attack Logs
Date Target Location Protocol Link
2026-08-31 Vultrtokyo-Combined MULTIPLE View Log

  • Country: China
  • Network:
  • Noticed: 3 times
  • Protocols Attacked: combined portscan

CVEs Detected

CVE-2009-2940 CVE-2009-3720 CVE-2020-29396 CVE-2021-32052 CVE-2023-27043 CVE-2023-36632 CVE-2023-40217 CVE-2024-6232 CVE-2024-7592 CVE-2024-9287 CVE-2025-12084 CVE-2025-12781 CVE-2025-13462 CVE-2025-13836 CVE-2025-13837 CVE-2026-15308 CVE-2026-3087 CVE-2026-3644 CVE-2026-4519 CVE-2026-6019 CVE-2026-7210

Disclaimer
This page contains threat intelligence information for the IPv4 address 1.119.158.77 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.