123.57.90.250 Threat Intelligence and Host Information
Jun 02, 2024
ipinfopage
General
IP Address
123.57.90.250
Location
🇨🇳 Beijing, China
Network
AS37963
Threat Score
20/100
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
123.56.0.0 - 123.57.255.255
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
2020-06-28T00:15:41Z
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
123.57.90.0/24
origin
AS45102
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-06-02 | Vultrparis | TELNET | View Log |
- Country: China
- Network: AS37963 hangzhou alibaba advertising co. ltd.
- Noticed: 1 times
- Protocols Attacked: telnet
- Passive DNS Results: wx.wansenyikao.com wxadmin.wansenyikao.com suidikan.com
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2015-9251 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-11358 CVE-2019-17572 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-11022 CVE-2020-11023 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-33246 CVE-2023-37582 CVE-2023-38408 CVE-2023-44487 CVE-2023-48795 CVE-2023-51384 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 123.57.90.250 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.