220.231.146.219 Threat Intelligence and Host Information
Jun 19, 2024
ipinfopage
General
IP Address
220.231.146.219
Location
🇨🇳 China
Network
AS134774
Threat Score
43/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS134774
Organization
CHINANET Guangdong province Shenzhen MAN network
Network
AS134774 CHINANET Guangdong province Shenzhen MAN network
WHOIS Information
inetnum
220.231.128.0 - 220.231.255.255
netname
CMData
descr
1302, Shangmei science and technology building, 2009 Shahe West Road, Nanshan District, Shenzhen
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-CMDATA-CN
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNNIC-AP
last-modified
2020-08-12T07:07:00Z
irt
IRT-CMData-CN
address
ShenZhenRunXunShuJuTongXinYouXianGongSi
e-mail
linyinghua@runxun.com
abuse-mailbox
ipas@cnnic.cn
role
ABUSE CNNICCN
phone
+86-10-13632822815
nic-hdl
YW7120-AP
person
Lin YingHua
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-06-07 | Digitaloceanfrankfurt | SSH | View Log |
- Country: China
- Network: AS134774 chinanet guangdong province shenzhen man network
- Noticed: 4 times
- Protocols Attacked: ssh
- Countries Attacked: Australia, Poland
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-2016-1908 CVE-2016-20012 CVE-2016-3115 CVE-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 220.231.146.219 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.