216.73.163.112 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
216.73.163.112
IPv4 Address
Location
🇺🇸 San Francisco, United States
US
Network
AS206092
F.n.s. Holdings Limited
Threat Score
19/100
Low Risk
01.10.20252025HoneyNet Connect
Attack Intelligence
Noticed
2 times
Protocols Attacked
php webshell
Countries Attacked
Finland, France, Germany, Poland, United States of America
Passive DNS
tigerguy.direct.quickconnect.to
Geographic Location
Country
United States
City
San Francisco
Region
California
Coordinates
37.2379, -121.7946
Network Information
ASN
AS206092
Organization
F.n.s. Holdings Limited
Network
AS206092 F.n.s. Holdings Limited
WHOIS Information
NetRange
216.73.160.0 - 216.73.163.255
CIDR
216.73.160.0/22
NetName
BANDITO-NETWORKS-US
NetHandle
NET-216-73-160-0-1
Parent
NET216 (NET-216-0-0-0-0)
NetType
Direct Allocation
Organization
Bandito Networks, Inc (BN-556)
RegDate
2021-10-04
Updated
2022-06-19
Ref
https://rdap.arin.net/registry/ip/216.73.160.0
OrgName
Bandito Networks, Inc
OrgId
BN-556
Address
1200 Brickell Ave
City
Miami
StateProv
FL
PostalCode
33131
Country
US
OrgAbuseHandle
BNA60-ARIN
OrgAbuseName
Bandito Networks Abuse
OrgAbusePhone
+1-786-589-7018
OrgAbuseEmail
abuse@bandito.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/BNA60-ARIN
OrgTechHandle
BANDI3-ARIN
OrgTechName
Bandito Networks
Attack Logs
DateTarget LocationProtocolLink
2026-10-22 Webexploit Php Version Recon Ip List 2026 10 22 Multiple View Log
2026-10-22 Webexploit Webshell Filename Probe Ip List 2026 10 22 Multiple View Log
2025-01-22 Webexploit Webshell Filename Probe Ip List 2025 01 22 Multiple View Log
2025-01-22 Webexploit Php Version Recon Ip List 2025 01 22 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 216.73.163.112 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.