106.225.178.131 Threat Intelligence and Host Information

General

IP Address
106.225.178.131
IPv4 Address
Location
🇨🇳 Shanghai, China
CN
Network
AS139201
Jiangxi Jiujiang IDC
Threat Score
65/100
High Risk
abuseipdbbruteforceBruteforceBrute-Forcecowriescansip
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning, T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force, T1595 - Active Scanning
Open Ports Detected
22
Geographic Location
Country
China
City
Shanghai
Region
Shanghai
Coordinates
31.2222, 121.4581
Network Information
ASN
AS139201
Organization
Jiangxi Jiujiang IDC
Network
AS139201 Jiangxi Jiujiang IDC
WHOIS Information
inetnum
106.224.0.0 - 106.239.255.255
netname
CHINANET-JX
descr
Beijing 100032
country
CN
admin-c
CH93-AP
tech-c
CH93-AP
abuse-c
AC1573-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-IP-WWF
mnt-lower
MAINT-IP-WWF
mnt-routes
MAINT-IP-WWF
mnt-irt
IRT-CHINANET-CN
last-modified
2021-01-05T00:59:14Z
irt
IRT-CHINANET-CN
address
Beijing 100088
e-mail
5656115@qq.com
abuse-mailbox
anti-spam@chinatelecom.cn
role
ABUSE CHINANETCN
phone
+86-10-62053991
nic-hdl
XY1-AP
person
Xu Yongzhong
fax-no
+86-10-62053995
notify
zhang@usai.asiainfo.com
Attack Logs
Date Target Location Protocol Link
2024-07-27 Vultrparis SSH View Log

  • Country: China
  • Network: AS139201 jiangxi jiujiang idc
  • Noticed: 9 times
  • Protocols Attacked: ssh
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 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 106.225.178.131 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.