101.126.21.156 Threat Intelligence and Host Information

General

IP Address
101.126.21.156
IPv4 Address
Location
🇨🇳 China
CN
Network
AS
Threat Score
45/100
Medium Risk
01.10.20252025bruteforceBruteforceBruteForceBrute-Forcecisco
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
22
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS
Organization
Network
WHOIS Information
inetnum
101.126.0.0 - 101.126.255.255
netname
VOLCANO-ENGINE
descr
China Internet Network Information Center
country
CN
admin-c
IP50-AP
tech-c
IP50-AP
abuse-c
AC1601-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CNNIC-AP
mnt-lower
MAINT-CNNIC-AP
mnt-routes
MAINT-CNNIC-AP
mnt-irt
IRT-VOLCANO-ENGINE-CN
last-modified
2023-09-07T06:32:32Z
irt
IRT-VOLCANO-ENGINE-CN
address
1309, 13/F, Building 4, Zijin Digital Park, Haidian District, Beijing
e-mail
gnoc@bytedance.com
abuse-mailbox
ipas@cnnic.cn
role
ABUSE CNNICCN
phone
+86-10-13051468788
nic-hdl
YW7147-AP
person
Chen Qi
route
101.126.16.0/21
origin
AS137718
Attack Logs
Date Target Location Protocol Link
2026-04-30 Vultrmelbournetest SSH View Log

  • Country: China
  • Network:
  • Noticed: 27 times
  • Protocols Attacked: portscan ssh
  • Countries Attacked: Australia, Finland, France, Germany, Malaysia, Poland, Sweden, United States of America

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 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

Disclaimer
This page contains threat intelligence information for the IPv4 address 101.126.21.156 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.