121.29.4.74 Threat Intelligence and Host Information

General

IP Address
121.29.4.74
IPv4 Address
Location
🇨🇳 Baoding, China
CN
Network
AS4837
CHINA UNICOM China169 Backbone
Threat Score
50/100
Medium Risk
bruteforcebrute-forceBruteforceBrute-Forcecredential-attackdigitalocean
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force, T1595 - Active Scanning
Open Ports Detected
22
Geographic Location
Country
China
City
Baoding
Region
Hebei
Coordinates
38.8511, 115.4879
Network Information
ASN
AS4837
Organization
CHINA UNICOM China169 Backbone
Network
AS4837 CHINA UNICOM China169 Backbone
WHOIS Information
inetnum
121.28.0.0 - 121.29.255.255
netname
UNICOM-HE
descr
CNC Group CHINA169 Hebei 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-HE
mnt-routes
MAINT-CNCGROUP-RR
mnt-irt
IRT-CU-CN
last-modified
2008-09-04T07:54:47Z
irt
IRT-CU-CN
address
45, Guang An Street, Shi Jiazhuang City, HeBei Province,050011,CN
e-mail
konglf5@chinaunicom.cn
abuse-mailbox
zhaoyz3@chinaunicom.cn
role
ABUSE CUCN
phone
+86-311-86681601
nic-hdl
KL984-AP
person
Kong Lingfei
fax-no
+86-311-86689210
route
121.28.0.0/15
origin
AS4837

  • Country: China
  • Network:
  • Noticed: 13 times
  • Protocols Attacked: portscan
  • Countries Attacked: Australia, Malaysia

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-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728 CVE-2026-35414

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Disclaimer
This page contains threat intelligence information for the IPv4 address 121.29.4.74 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.