119.11.184.250 Threat Intelligence and Host Information
Feb 20, 2026
ipinfopage
General
IP Address
119.11.184.250
Location
🇮🇩 Mojokerto, Indonesia
Network
AS10217
Threat Score
15/100
Attack Intelligence
Open Ports Detected
123
Geographic Location
Country
Indonesia
City
Mojokerto
Region
East Java
Coordinates
-7.4604, 112.4325
Network Information
ASN
AS10217
Organization
PT. NTT Indonesia
Network
AS10217 PT. NTT Indonesia
WHOIS Information
inetnum
119.11.128.0 - 119.11.255.255
netname
NTTNET
descr
PT. NTT Indonesia
country
ID
admin-c
SS555-AP
tech-c
HN60-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-ID-NTTNET
mnt-lower
MAINT-ID-NTTNET
mnt-irt
IRT-NTTNET-ID
mnt-routes
MAINT-ID-NTTNET
last-modified
2023-01-16T04:38:18Z
irt
IRT-NTTNET-ID
address
Jakarta 10220
e-mail
hostmaster@ntt.net.id
abuse-mailbox
NTTAPAC.ID-ipeng-GL@global.ntt
role
NTTNETID NOC
phone
+62-21-5727777
fax-no
+62-21-5746777
nic-hdl
NN74-AP
notify
hostmaster@ntt.net.id
- Country: Indonesia
- Network:
- Noticed: 1 times
- Protocols Attacked: SSH
CVEs Detected
CVE-2009-0021 CVE-2009-0159 CVE-2009-3563 CVE-2013-5211 CVE-2014-9293 CVE-2014-9294 CVE-2014-9295 CVE-2014-9296 CVE-2014-9750 CVE-2014-9751 CVE-2015-1798 CVE-2015-1799 CVE-2015-7691 CVE-2015-7692 CVE-2015-7701 CVE-2015-7702 CVE-2015-7703 CVE-2015-7704 CVE-2015-7705 CVE-2015-7848 CVE-2015-7849 CVE-2015-7850 CVE-2015-7851 CVE-2015-7852 CVE-2015-7853 CVE-2015-7854 CVE-2015-7855 CVE-2015-7973 CVE-2015-7974 CVE-2015-7977 CVE-2016-2518 CVE-2016-4953 CVE-2016-4954 CVE-2016-4955 CVE-2016-4956 CVE-2017-6458 CVE-2018-7170 CVE-2019-8936 CVE-2020-11868 CVE-2020-13817
Disclaimer
This page contains threat intelligence information for the IPv4 address 119.11.184.250 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.