124.94.110.24 Threat Intelligence and Host Information

General

IP Address
124.94.110.24
IPv4 Address
Location
🇨🇳 Dandong, China
CN
Network
AS4837
CHINA UNICOM China169 Backbone
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
China
City
Dandong
Region
Liaoning
Coordinates
40.1283, 124.3982
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
124.92.0.0 - 124.95.255.255
netname
UNICOM-LN
descr
CNC Group CHINA169 Liaoning Province Network
country
CN
admin-c
CH1302-AP
tech-c
CH1302-AP
abuse-c
AC1718-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNCGROUP-RR
mnt-lower
MAINT-CNCGROUP-LN
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2008-09-04T07:54:45Z
irt
IRT-CU-CN
address
38 Lianhe Road,Dadong District Shenyang 110044,China
e-mail
hqs-ipabuse@chinaunicom.cn
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+86-24-22800809
nic-hdl
GZ84-AP
person
Guangyu Zhan
fax-no
+86-24-22800077
route
124.92.0.0/14
origin
AS4837
Attack Logs
Date Target Location Protocol Link
2024-10-08 Toronto, Canada SSH View Log

  • Country: China
  • Network: AS4837 china unicom china169 backbone
  • Noticed: 1 times
  • Protocols Attacked: ssh

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-2021-3618 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-44487 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767

Disclaimer
This page contains threat intelligence information for the IPv4 address 124.94.110.24 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.