140.99.1.20 Threat Intelligence - Australia | IP Address Lookup

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General

IP Address
140.99.1.20
IPv4 Address
Location
🇦🇺 Melbourne, Australia
AU
Network
AS137409
GSL Networks Pty LTD
Threat Score
7/100
Low Risk
Attack Intelligence
Noticed
1 time
Protocols Attacked
mitre webshell
Geographic Location
Country
Australia
City
Melbourne
Region
Victoria
Coordinates
-37.8159, 144.9669
Network Information
ASN
AS137409
Organization
GSL Networks Pty LTD
Network
AS137409 GSL Networks Pty LTD
Associated CVEs
WHOIS Information
NetRange
140.99.0.0 - 140.99.255.255
CIDR
140.99.0.0/16
NetName
EPICUP-LEGACY-SPACE
NetHandle
NET-140-99-0-0-1
Parent
NET140 (NET-140-0-0-0-0)
NetType
Direct Allocation
Organization
EpicUp Holdings Inc (EH-1516)
RegDate
1990-04-12
Updated
2024-04-04
Ref
https://rdap.arin.net/registry/ip/140.99.0.0
OrgName
EpicUp Holdings Inc
OrgId
EH-1516
Address
1712 Pioneer Ave
City
Cheyenne
StateProv
WY
PostalCode
82001
Country
US
Comment
EpicUp.com
OrgTechHandle
DCI13-ARIN
OrgTechName
Ingram, Dennett C
OrgTechPhone
+1-602-999-3508
OrgTechEmail
dennett@epicup.com
OrgTechRef
https://rdap.arin.net/registry/entity/DCI13-ARIN
OrgRoutingHandle
IST36-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Cve 2011 5148 Attacker Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Webshell Filename Probe Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Mitre T1190 Ip List 2026 10 21 Multiple View Log
2026-10-21 Cve 2011 5148 Attacker Ip List 2026 10 21 Multiple View Log
2026-07-29 Webexploit Webshell Filename Probe Ip List 2026 07 29 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 140.99.1.20 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.