121.40.198.90 Threat Intelligence and Host Information
Sep 20, 2024
ipinfopage
General
IP Address
121.40.198.90
Location
🇨🇳 Hangzhou, China
Network
AS37963
Threat Score
15/100
Attack Intelligence
Open Ports Detected
10000
Geographic Location
Country
China
City
Hangzhou
Region
Zhejiang
Coordinates
30.2994, 120.1612
Network Information
ASN
AS37963
Organization
Hangzhou Alibaba Advertising Co.,Ltd.
Network
AS37963 Hangzhou Alibaba Advertising Co.,Ltd.
WHOIS Information
inetnum
121.40.0.0 - 121.43.255.255
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-ALISOFT-CN
last-modified
2019-08-07T23:28:03Z
irt
IRT-ALISOFT-CN
address
Zhejiang, China, 310099
e-mail
guowei.pangw@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
121.40.0.0/14
origin
AS45102
- Country: China
- Network: AS37963 hangzhou alibaba advertising co. ltd.
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: malaxiangguotuiguangdashi.xyz
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2010-4478 CVE-2010-4755 CVE-2010-5107 CVE-2011-4327 CVE-2011-5000 CVE-2012-0814 CVE-2014-1692 CVE-2014-2532 CVE-2014-2653 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-0777 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2016-3115 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
Disclaimer
This page contains threat intelligence information for the IPv4 address 121.40.198.90 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.