103.234.210.50 Threat Intelligence and Host Information
Sep 24, 2023
ipinfopage
General
IP Address
103.234.210.50
Location
🇮🇩 Indonesia
Network
AS38767
Threat Score
5/100
Attack Intelligence
Open Ports Detected
2082
Geographic Location
Country
Indonesia
City
Unknown
Region
Unknown
Coordinates
-6.1728, 106.8272
Network Information
ASN
AS38767
Organization
PT Awan Media Semesta
Network
AS38767 PT Awan Media Semesta
WHOIS Information
inetnum
103.234.208.0 - 103.234.211.255
netname
IDNIC-AMSCLOUD-ID
descr
Jakarta Selatan 12430
admin-c
DS1472-AP
tech-c
DS1472-AP
country
ID
mnt-by
MAINT-ID-AMSCLOUD
mnt-irt
IRT-AMSCLOUD-ID
mnt-routes
MAINT-ID-AMSCLOUD
status
ASSIGNED PORTABLE
last-modified
2016-10-24T07:35:41Z
irt
IRT-AMSCLOUD-ID
address
Cilandak, Jakarta Selatan
e-mail
david@amscloud.co.id
abuse-mailbox
abuse@amscloud.co.id
person
David Suhendrik
phone
+62-21-39720900
nic-hdl
DS1472-AP
route
103.234.208.0/22
origin
AS38767
- Country: Indonesia
- Network: AS38767 pt awan media semesta
- Noticed: 1 times
- Protcols Attacked: SSH
- Passive DNS Results: ns2.jemberoutlet.com ns2.hoster.co.id transparansi.majenekab.go.id www.marini.majenekab.go.id marini.majenekab.go.id www.disbudpar.majenekab.go.id disbudpar.majenekab.go.id www.corona.majenekab.go.id corona.majenekab.go.id hotspot.majenekab.go.id www.hotspot.majenekab.go.id www.showroomaset.majenekab.go.id showroomaset.majenekab.go.id simaya.majenekab.go.id www.simaya.majenekab.go.id kinerja20.majenekab.go.id www.kinerja20.majenekab.go.id dpmptsp.majenekab.go.id www.sirumung.majenekab.go.id bkpsdm.majenekab.go.id www.bkpsdm.majenekab.go.id www.transparansi.majenekab.go.id sirumung.majenekab.go.id www.pkk.majenekab.go.id pkk.majenekab.go.id www.mail.majenekab.go.id jdih.majenekab.go.id www.jdih.majenekab.go.id majenekab.go.id www.bmw.majenekab.go.id bmw.majenekab.go.id i-tech.co.id
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.234.210.50 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.