121.31.67.239 Threat Intelligence and Host Information

General

IP Address
121.31.67.239
IPv4 Address
Location
🇨🇳 Guangzhou, China
CN
Network
AS4837
CHINA UNICOM China169 Backbone
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
23
Geographic Location
Country
China
City
Guangzhou
Region
Guangdong
Coordinates
23.1181, 113.2539
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
121.31.67.0 - 121.31.67.255
netname
wuzhou-cnc-subscriber8
country
CN
descr
CNC Group CHINA169 Guangxi Province Network
admin-c
YZ26-AP
tech-c
YZ26-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-CNCGROUP-RR
last-modified
2008-09-04T07:54:48Z
person
Yunyu Zhang
address
Qionghai, Hainan 571400, China
phone
+86-898-2822451
e-mail
address-allocation-staff@net.edu.cn
nic-hdl
YZ26-AP
notify
address-allocation-staff@net.edu.cn
route
121.31.0.0/16
origin
AS4837
Attack Logs
Date Target Location Protocol Link
2024-08-01 Vultrparis TELNET View Log

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

CVEs Detected

CVE-2007-3205 CVE-2013-2220 CVE-2015-9253 CVE-2017-8923 CVE-2018-10545 CVE-2018-10546 CVE-2018-10547 CVE-2018-10548 CVE-2018-10549 CVE-2018-14851 CVE-2018-14883 CVE-2018-15132 CVE-2018-17082 CVE-2018-19395 CVE-2018-19396 CVE-2018-19518 CVE-2018-19935 CVE-2018-20783 CVE-2019-11034 CVE-2019-11035 CVE-2019-11036 CVE-2019-11038 CVE-2019-11039 CVE-2019-11040 CVE-2019-11041 CVE-2019-11042 CVE-2019-11043 CVE-2019-13224 CVE-2019-6977 CVE-2019-9020 CVE-2019-9021 CVE-2019-9022 CVE-2019-9023 CVE-2019-9024 CVE-2019-9637 CVE-2019-9638 CVE-2019-9639 CVE-2019-9640 CVE-2019-9641 CVE-2019-9675 CVE-2020-11579 CVE-2022-31628 CVE-2022-31629 CVE-2024-4577

Disclaimer
This page contains threat intelligence information for the IPv4 address 121.31.67.239 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.