150.109.66.153 Threat Intelligence and Host Information

General

IP Address
150.109.66.153
IPv4 Address
Location
🇭🇰 Central, Hong Kong
HK
Network
AS132203
Tencent Building, Kejizhongyi Avenue
Threat Score
13/100
Low Risk
Attack Intelligence
Open Ports Detected
123
Geographic Location
Country
Hong Kong
City
Central
Region
Central and Western District
Coordinates
22.2908, 114.1501
Network Information
ASN
AS132203
Organization
Tencent Building, Kejizhongyi Avenue
Network
AS132203 Tencent Building, Kejizhongyi Avenue
WHOIS Information
inetnum
150.109.32.0 - 150.109.79.255
netname
ACEVILLEPTELTD-SG
descr
ACEVILLE PTE.LTD.
country
SG
admin-c
APA7-AP
tech-c
APA7-AP
abuse-c
AA1875-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-ACEVILLEPTELTD-SG
mnt-irt
IRT-ACEVILLEPTELTD-SG
last-modified
2022-01-14T07:45:08Z
irt
IRT-ACEVILLEPTELTD-SG
e-mail
qcloud_net_duty@tencent.com
abuse-mailbox
qcloud_net_duty@tencent.com
role
ACEVILLE PTELTD administrator
phone
+8613923479936
nic-hdl
APA7-AP
fax-no
+8613923479936
route
150.109.0.0/16
origin
AS132203

  • Country: Hong Kong
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: status.wenhau.cn url.chowvinhau.top url.wenhau.cn nav.wenhau.cn wenhau.cn blog.wenhau.cn sub.chowvinhau.top suc.chowvinhau.top ctlist.chowvinhau.top api.chowvinhau.top om-sp.chowvinhau.top om.chowvinhau.top temp.chowvinhau.top chat.chowvinhau.top imgs.chowvinhau.top music.chowvinhau.top wiz.chowvinhau.top ytb.chowvinhau.top one.chowvinhau.top nps.chowvinhau.top pan.chowvinhau.top mapi.chowvinhau.top test.chowvinhau.top chowvinhau.top

CVEs Detected

CVE-2019-20372 CVE-2021-23017 CVE-2021-3618 CVE-2023-44487

Disclaimer
This page contains threat intelligence information for the IPv4 address 150.109.66.153 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.