183.134.101.182 Threat Intelligence and Host Information
Aug 03, 2024
ipinfopage
General
IP Address
183.134.101.182
Location
🇨🇳 Qinhuai, China
Network
AS58461
Threat Score
27/100
Attack Intelligence
Open Ports Detected
3128
Geographic Location
Country
China
City
Qinhuai
Region
Jiangsu
Coordinates
31.8616, 118.8656
Network Information
ASN
AS58461
Organization
CT-HangZhou-IDC
Network
AS58461 CT-HangZhou-IDC
WHOIS Information
inetnum
183.134.100.0 - 183.134.101.255
netname
HANGZHOU-WOODNN-LTD
descr
country
CN
admin-c
CH54-AP
tech-c
CH54-AP
abuse-c
AC1602-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-CN-CHINANET-ZJ-HZ
mnt-irt
IRT-CHINANET-ZJ
last-modified
2016-04-04T13:42:04Z
irt
IRT-CHINANET-ZJ
address
No.428,Building 4,Tiantang E Gu,No.33,Xinwen Road,Hangzhou,Zhejiang.
e-mail
hull@woodnn.com
abuse-mailbox
antispam_zjnoc@163.com
role
CHINANET-ZJ Hangzhou
phone
+86-571-85181000
nic-hdl
LH2766-AP
fax-no
+86-571-85102776
person
Lili Hu
- Country: China
- Network: AS58461 ct-hangzhou-idc
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2016-10002 CVE-2016-10003 CVE-2018-19131 CVE-2018-19132 CVE-2019-12519 CVE-2019-12520 CVE-2019-12521 CVE-2019-12522 CVE-2019-12523 CVE-2019-12524 CVE-2019-12525 CVE-2019-12526 CVE-2019-12528 CVE-2019-12529 CVE-2019-13345 CVE-2019-18676 CVE-2019-18677 CVE-2019-18678 CVE-2019-18679 CVE-2019-18860 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 CVE-2020-8449 CVE-2020-8450 CVE-2020-8517 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824
Disclaimer
This page contains threat intelligence information for the IPv4 address 183.134.101.182 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.