147.93.157.53 Threat Intelligence - Singapore | IP Address Lookup

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General

IP Address
147.93.157.53
IPv4 Address
Location
πŸ‡ΈπŸ‡¬ Singapore, Singapore
SG
Network
AS141995
Contabo Asia Private Limited
Threat Score
46/100
Medium Risk
cloudflaremalwarepayload-deliverytpotweb
Attack Intelligence
MITRE ATT&CK Techniques
T1059 - Command and Scripting Interpreter, T1105 - Ingress Tool Transfer, T1190 - Exploit Public-Facing Application
Noticed
3 times
Protocols Attacked
web
Open Ports Detected
22
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3552, 103.8859
Network Information
ASN
AS141995
Organization
Contabo Asia Private Limited
Network
AS141995 Contabo Asia Private Limited
WHOIS Information
NetRange
147.93.0.0 - 147.96.255.255
CIDR
147.93.0.0/16, 147.94.0.0/15, 147.96.0.0/16
NetName
RIPE-ERX-147-93-0-0
NetHandle
NET-147-93-0-0-1
Parent
NET147 (NET-147-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2003-10-08
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/147.93.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-08-31 Cfglobal Web Multiple View Log
2026-08-28 Cfglobal Web Multiple View Log
2026-08-28 Cfglobal Web Intelligence 2026 08 28 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 147.93.157.53 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.