111.30.6.11 Threat Intelligence and Host Information
Apr 06, 2026
ipinfopage
General
IP Address
111.30.6.11
Location
🇨🇳 China
Network
AS38019
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
18080
Geographic Location
Country
China
City
Unknown
Region
Unknown
Coordinates
34.7732, 113.7220
Network Information
ASN
AS38019
Organization
tianjin Mobile Communication Company Limited
Network
AS38019 tianjin Mobile Communication Company Limited
WHOIS Information
inetnum
111.0.0.0 - 111.63.255.255
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
2012-02-15T08:47:26Z
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
- Country: China
- Network:
- Noticed: 5 times
- Protocols Attacked: portscan
- Countries Attacked: Australia
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2010-4478 CVE-2010-4755 CVE-2010-5107 CVE-2011-4327 CVE-2011-5000 CVE-2012-0814 CVE-2014-1692 CVE-2014-2532 CVE-2014-2653 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-0777 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2016-3115 CVE-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408 CVE-2023-44487 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-23419
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This page contains threat intelligence information for the IPv4 address 111.30.6.11 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.