103.93.180.125 Threat Intelligence and Host Information

General

IP Address
103.93.180.125
IPv4 Address
Location
🇨🇳 China
CN
Network
AS4808
China Unicom Beijing Province Network
Threat Score
50/100
Medium Risk
cowriecybersecurityiocmaliciousNextrayphishingssh
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
Open Ports Detected
22
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
103.93.180.0 - 103.93.183.255
netname
GTLXNET
descr
Addresses from CNNIC
country
CN
admin-c
IP50-AP
tech-c
IP50-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNCGROUP-RR
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CNNIC-CN
last-modified
2018-06-22T06:22:03Z
irt
IRT-CNNIC-CN
address
Room1302,Tower B,Wanda Plaza,Xinhua West street No.58,Tongzhou District,Beijing
e-mail
liuyr@gs-net.com
abuse-mailbox
ipas@cnnic.cn
role
ABUSE CNNICCN
phone
+86-13581582191
nic-hdl
LYR8-AP
person
Liu Yaori
route
103.93.180.0/23
origin
AS4808
Attack Logs
Date Target Location Protocol Link
2021-08-22 Perth, Australia MULTIPLE View Log

  • Country: China
  • Network: AS4808 china unicom beijing province network
  • Noticed: 1 times
  • Protcols 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 103.93.180.125 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.