148.163.67.132 Threat Intelligence and Host Information
May 04, 2025
ipinfopage
General
IP Address
148.163.67.132
Location
🇺🇸 Phoenix, United States
Network
AS53755
Threat Score
15/100
Geographic Location
Country
United States
City
Phoenix
Region
Arizona
Coordinates
33.4413, -112.0421
Network Information
ASN
AS53755
Organization
IOFLOOD
Network
AS53755 IOFLOOD
WHOIS Information
NetRange
148.163.0.0 - 148.163.127.255
CIDR
148.163.0.0/17
NetName
IOFLOOD
NetHandle
NET-148-163-0-0-1
Parent
NET148 (NET-148-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS53755
Organization
Input Output Flood LLC (IOFL)
RegDate
2011-05-02
Updated
2024-11-25
Comment
http://www.ioflood.com
Ref
https://rdap.arin.net/registry/entity/IOFL
OrgName
Input Output Flood LLC
OrgId
IOFL
City
Phoenix
StateProv
AZ
PostalCode
85034
Country
US
OrgAbuseHandle
RAMUG-ARIN
OrgAbuseName
Ramuglia, Gabriel
OrgAbusePhone
+1-702-482-8064
OrgAbuseEmail
abuse@ioflood.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/RAMUG-ARIN
OrgNOCHandle
RAMUG-ARIN
- Country: United States
- Network:
- Noticed: 6 times
- Protocols Attacked: SSH
- Passive DNS Results: ns2.netvisionz.ca ns12.it16.xyz sky2.kushandreamworks.com ns200.hetrixbyte.com ns2.perusocialmedia.top ns2.binghost.net ns2.pio.in cp1.solvehostbd.com ns2.anyhostbd.com ns2.webfactory.pk cb2020.duckdns.org ns4.heavenhoster.com ns2.vimak.com ns2.jdgroup.me.uk ns4.extratera.com ns2.sitehosting.pk ns2.ahmaditsolutions.com ns2.deodata.info ns2.ziccz.com ns2.ravewk.com ns2.hosttorch.com dns6.bantenhosting.com ns2.amazohost.com ns2.wertey.com ns2.willycomms.co.zw ns2.walnuthost.com ns2.redbridge.in BUDGET42.NOC401.COM NS2.GIGAKORP.COM ns2.shared.webhostwala.in
Disclaimer
This page contains threat intelligence information for the IPv4 address 148.163.67.132 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.