202.43.159.135 Threat Intelligence and Host Information
Apr 15, 2025
ipinfopage
General
IP Address
202.43.159.135
Location
🇨🇳 China
Network
AS4808
Threat Score
55/100
Attack Intelligence
MITRE ATT&CK Techniques
T1078 - Valid Accounts, T1083 - File and Directory Discovery, T1098.004 - SSH Authorized Keys, T1105 - Ingress Tool Transfer, T1110.004 - Credential Stuffing, T1110 - Brute Force
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS4808
Organization
China Unicom Beijing Province Network
Network
AS4808 China Unicom Beijing Province Network
WHOIS Information
inetnum
202.43.156.0 - 202.43.159.255
netname
CNLINKNET
descr
Route originated from CSTNET’s customers
country
CN
admin-c
CM2275-AP
tech-c
CM2275-AP
abuse-c
AC1910-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-CN-CSTNET
mnt-irt
IRT-CNISP-CN
last-modified
2009-05-21T07:06:32Z
irt
IRT-CNISP-CN
address
No.19 Jian Guo Men Wai Street,Beijing,China
e-mail
jxw@cn.cnlink.net
abuse-mailbox
support@cnispgroup.com
role
ABUSE CNISPCN
phone
+86-18610022366
nic-hdl
XJ1765-AP
person
Xiaowei Jiang
route
202.43.158.0/23
origin
AS24134
notify
lihong@cstnet.cn
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2022-06-19 | Dotoronto | SSH | View Log |
- Country: China
- Network:
- Noticed: 50 times
- Protocols Attacked: ssh
- Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
Disclaimer
This page contains threat intelligence information for the IPv4 address 202.43.159.135 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.