116.62.242.107 Threat Intelligence and Host Information
Sep 18, 2024
ipinfopage
General
IP Address
116.62.242.107
IPv4 Address
Location
🇨🇳 Hangzhou, China
CN
Network
AS37963
Hangzhou Alibaba Advertising Co.,Ltd.
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
10000
Geographic Location
Coordinates
30.2994, 120.1612
Network Information
Organization
Hangzhou Alibaba Advertising Co.,Ltd.
Network
AS37963 Hangzhou Alibaba Advertising Co.,Ltd.
WHOIS Information
inetnum
116.62.0.0 - 116.62.255.255
descr
Addresses from CNNIC(KUANCOM)
last-modified
2008-09-04T07:55:16Z
address
Zhejiang, China, 310099
e-mail
guowei.pangw@alibaba-inc.com
abuse-mailbox
ipas@cnnic.cn
phone
+86-0571-85022088-30763
- Country: China
- Network: AS37963 hangzhou alibaba advertising co. ltd.
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
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-2016-1247
CVE-2016-1908
CVE-2016-20012
CVE-2016-3115
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-2019-16905
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
Disclaimer
This page contains threat intelligence information for the IPv4 address 116.62.242.107 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.