39.99.237.112 Threat Intelligence and Host Information

General

IP Address
39.99.237.112
IPv4 Address
Location
🇨🇳 Beijing, China
CN
Network
AS37963
Hangzhou Alibaba Advertising Co.,Ltd.
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
China
City
Beijing
Region
Beijing
Coordinates
39.9075, 116.3972
Network Information
ASN
AS37963
Organization
Hangzhou Alibaba Advertising Co.,Ltd.
Network
AS37963 Hangzhou Alibaba Advertising Co.,Ltd.
WHOIS Information
inetnum
39.96.0.0 - 39.108.255.255
netname
ALISOFT
descr
Alibaba (US) Technology Co., Ltd.
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-CNNIC-CN
last-modified
2019-08-07T23:28:05Z
irt
IRT-CNNIC-CN
address
Zhejiang, China, 310099
e-mail
abuse@alibaba-inc.com
abuse-mailbox
ipas@cnnic.cn
role
ABUSE CNNICCN
phone
+86-0571-85022088-30763
nic-hdl
ZM877-AP
person
Guowei Pan
fax-no
+86-0571-85022600
route
39.96.0.0/13
origin
AS45102

  • Country: China
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: ny.wxtyq.com hn.wxtyq.com wxxcx.wxtyq.com csapp.wxtyq.com

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-0742 CVE-2016-0746 CVE-2016-0747 CVE-2016-1247 CVE-2016-20012 CVE-2016-4450 CVE-2017-15906 CVE-2017-20005 CVE-2017-7529 CVE-2018-15473 CVE-2018-15919 CVE-2018-16843 CVE-2018-16844 CVE-2018-16845 CVE-2018-20685 CVE-2019-20372 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2019-9511 CVE-2019-9513 CVE-2019-9516 CVE-2020-14145 CVE-2020-15778 CVE-2021-23017 CVE-2021-3618 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-44487 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 39.99.237.112 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.