211.101.247.51 Threat Intelligence and Host Information

General

IP Address
211.101.247.51
IPv4 Address
Location
🇨🇳 China
CN
Network
AS
Threat Score
39/100
Medium Risk
cowriedionaeafatthoneytrapmailoneyp0fscansensor-tagged
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
211.0.0.0 - 211.255.255.255
netname
APNIC-AP
descr
Australia
country
AU
org
ORG-APNI3-AP
admin-c
AMS11-AP
tech-c
AH256-AP
abuse-c
AA1452-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-APNIC-AP
mnt-lower
APNIC-HM
mnt-irt
IRT-APNIC-AP
last-modified
2023-11-29T22:50:07Z
irt
IRT-APNIC-AP
address
QLD 4101
e-mail
netops@apnic.net
abuse-mailbox
helpdesk@apnic.net
organisation
ORG-APNI3-AP
org-name
Asia Pacific Network Information Center, Pty. Ltd.
org-type
RIR
mnt-ref
APNIC-HM
role
APNIC Hostmaster
phone
+61 7 3858 3100
nic-hdl
NO4-AP
Attack Logs
Date Target Location Protocol Link
2025-09-25 Warsaw, Poland MSSQL View Log

  • Country: China
  • Network:
  • Noticed: 2 times
  • Protocols Attacked: mssql
  • Countries Attacked: Australia
  • Passive DNS Results: www.awsyw.com

Malware Detected on Host

Count: 1 9313f9ea74629b9f176772809a2502042bea8a899f6d654648f1f02d1e6664b5

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

Disclaimer
This page contains threat intelligence information for the IPv4 address 211.101.247.51 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.