117.146.54.144 Threat Intelligence and Host Information
May 14, 2025
ipinfopage
General
IP Address
117.146.54.144
Location
🇨🇳 China
Network
AS9808
Threat Score
15/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS9808
Organization
China Mobile Communications Group Co., Ltd.
Network
AS9808 China Mobile Communications Group Co., Ltd.
WHOIS Information
inetnum
117.128.0.0 - 117.191.255.255
netname
CMNET
descr
China Mobile communications corporation
country
CN
org
ORG-CM1-AP
admin-c
HL1318-AP
tech-c
HL1318-AP
abuse-c
AC2006-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-CN-CMCC
mnt-lower
MAINT-CN-CMCC
mnt-routes
MAINT-CN-CMCC
mnt-irt
IRT-CHINAMOBILE-CN
last-modified
2008-09-04T07:55:15Z
irt
IRT-CHINAMOBILE-CN
address
29,Jinrong Ave, Xicheng district,beijing,100032
e-mail
hostmaster@chinamobile.com
abuse-mailbox
abuse@chinamobile.com
organisation
ORG-CM1-AP
org-name
China Mobile
org-type
LIR
phone
+86 1052686688
fax-no
+86 10 52616187
mnt-ref
APNIC-HM
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-05-14 | Warsaw, Poland | TELNET | View Log |
- Country: China
- Network:
- Noticed: times
- Protocols Attacked: telnet
Malware Detected on Host
Count: 1 481a26145781faca5e37979bc080bf4f891229888d6dbe6055d652641516d40b
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2020-12062 CVE-2020-14145 CVE-2020-15778 CVE-2021-28041 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465
Disclaimer
This page contains threat intelligence information for the IPv4 address 117.146.54.144 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.