103.62.48.229 Threat Intelligence - Singapore | IP Address Lookup

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General

IP Address
103.62.48.229
IPv4 Address
Location
πŸ‡ΈπŸ‡¬ Singapore, Singapore
SG
Network
AS137409
GSL Networks Pty LTD
Threat Score
35/100
Medium Risk
cyber securityiocmaliciousNextrayphishingScannerscanningsmtp
Attack Intelligence
Noticed
40 times
Protocols Attacked
webshell wordpress
Countries Attacked
Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.2872, 103.8507
Network Information
ASN
AS137409
Organization
GSL Networks Pty LTD
Network
AS137409 GSL Networks Pty LTD
WHOIS Information
inetnum
103.62.48.0 - 103.62.48.255
netname
StreamlineServers
descr
Streamline Servers Ltd - Singapore
country
SG
admin-c
SSN18-AP
tech-c
SSN18-AP
abuse-c
AS2307-AP
status
ALLOCATED NON-PORTABLE
mnt-by
MAINT-STREAMLINESERVERS-HK
mnt-irt
IRT-STREAMLINESERVERS-HK
last-modified
2025-03-21T05:09:51Z
geofeed
https://globalsecurelayer.com/google-data/GSL-geoip-feed.csv
irt
IRT-STREAMLINESERVERS-HK
address
Suite 11, 38 Ricketty Street, Sydney, NSW 2020, Australia
e-mail
noc@streamline-servers.com
abuse-mailbox
noc@streamline-servers.com
role
ABUSE STREAMLINESERVERSHK
phone
+000000000
nic-hdl
AS2307-AP
person
Streamline Servers NOC
Attack Logs
DateTarget LocationProtocolLink
2026-10-21 Webexploit Wo Multiple View Log
2023-06-25 Webexploit Webshell Filename Probe Ip List 2023 06 25 Multiple View Log
Additional Intelligence
Threat Feeds / IP Sets
  • blocklist_net_ua
  • cruzit_web_attacks
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.62.48.229 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.