111.223.127.170 Threat Intelligence and Host Information
Mar 09, 2026
ipinfopage
General
IP Address
111.223.127.170
Location
🇸🇬 Singapore, Singapore
Network
AS4657
Threat Score
17/100
Attack Intelligence
Open Ports Detected
1701
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3384, 103.8628
Network Information
ASN
AS4657
Organization
StarHub Ltd
Network
AS4657 StarHub Ltd
WHOIS Information
inetnum
111.223.64.0 - 111.223.127.255
netname
STARHUBINTERNET-SG
descr
Starhub Internet Pte Ltd
country
SG
org
ORG-SIPL5-AP
admin-c
SH1233-AP
tech-c
SH1233-AP
abuse-c
AS2611-AP
status
ALLOCATED PORTABLE
mnt-by
MAINT-AS4657-AP
mnt-lower
MAINT-AS4657-AP
mnt-routes
MAINT-AS4657-AP
mnt-irt
IRT-STARHUBINTERNET-SG
last-modified
2021-06-03T08:43:46Z
irt
IRT-STARHUBINTERNET-SG
address
c/o IP NOC
e-mail
ipnoc@starhub.com
abuse-mailbox
abuse@starhub.com
organisation
ORG-SIPL5-AP
org-name
Starhub Ltd.
org-type
LIR
phone
+65-6825-7878
fax-no
+65-68206008
mnt-ref
APNIC-HM
- Country: Singapore
- Network:
- Noticed: 1 times
- Protocols Attacked: portscan
- Passive DNS Results: testingbg.my3cx.sg testc4c.3cx.in 3cxweb.3cx.asia mymca.my3cx.sg dcaredemo.my3cx.sg greenfieldadvisory.my3cx.sg okbl.my3cx.sg bala.my3cx.sg scientecconsulting.my3cx.sg nypceac.my3cx.sg sgveena.3cx.asia rktest.my3cx.sg vinosg.my3cx.sg sgnavin.my3cx.sg testingfordemo.my3cx.sg mytesting.my3cx.sg mconnectuat.my3cx.sg tiffanypersonal.my3cx.sg dw3cx.3cx.asia senthilnathan.3cx.in cal4carealphatest.3cx.asia cal4carepteltd.my3cx.sg marinebooking.my3cx.sg edsa.my3cx.sg darkstorm.my3cx.sg edsa1609.my3cx.sg testserver.my3cx.sg wellbredcapital.my3cx.sg dingkon.my3cx.sg toha.my3cx.sg jeff.my3cx.sg arun3cxtest.my3cx.sg aruntest.my3cx.sg mangudi.3cx.az c4c.my3cx.sg
Disclaimer
This page contains threat intelligence information for the IPv4 address 111.223.127.170 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.