101.133.170.17 Threat Intelligence - China | IP Address Lookup
ipinfopage
General
IP Address
101.133.170.17
Location
🇨🇳 Shanghai, China
Network
AS37963
Threat Score
14/100
Attack Intelligence
Noticed
2 times
Protocols Attacked
redis
Open Ports Detected
170122
Geographic Location
Country
China
City
Shanghai
Region
Shanghai
Coordinates
31.2222, 121.4581
Network Information
ASN
AS37963
Organization
Hangzhou Alibaba Advertising Co.,Ltd.
Network
AS37963 Hangzhou Alibaba Advertising Co.,Ltd.
WHOIS Information
inetnum
101.132.0.0 - 101.133.255.255
netname
ALISOFT
descr
Aliyun Computing Co., LTD
country
CN
admin-c
ZM1015-AP
tech-c
ZM877-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNNIC-AP
mnt-irt
IRT-ALISOFT-CN
last-modified
2023-11-28T00:51:48Z
irt
IRT-ALISOFT-CN
address
No.391 Wen'er Road, Hangzhou, Zhejiang, China, 310099
e-mail
didong.jc@alibaba-inc.com
abuse-mailbox
didong.jc@alibaba-inc.com
role
ABUSE CNNICCN
phone
+000000000
nic-hdl
AC1601-AP
person
Li Jia
fax-no
+86-0571-85022600
route
101.133.170.0/24
origin
AS37963
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-07-17 | Vultrmelbournetest Redis | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 101.133.170.17 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.