66.96.140.139 Threat Intelligence and Host Information

General

IP Address
66.96.140.139
IPv4 Address
Location
🇺🇸 United States
US
Network
AS29873
BIZLAND-SD
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
25
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS29873
Organization
BIZLAND-SD
Network
AS29873 BIZLAND-SD
WHOIS Information
NetRange
66.96.128.0 - 66.96.191.255
CIDR
66.96.128.0/18
NetName
BIZLAND-FC01
NetHandle
NET-66-96-128-0-1
Parent
NET66 (NET-66-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Newfold Digital, Inc. (EIG-12)
RegDate
2005-02-07
Updated
2023-11-16
Comment
ADDRESSES WITHIN THIS BLOCK ARE NON-PORTABLE
Ref
https://rdap.arin.net/registry/entity/EIG-12
OrgName
Newfold Digital, Inc.
OrgId
EIG-12
Address
5535 Gate Parkway
City
Jacksonville
StateProv
FL
PostalCode
32256
Country
US
OrgNOCHandle
ENO74-ARIN
OrgNOCName
EIG Network Operations
OrgNOCPhone
+1-781-852-3200
OrgNOCEmail
eig-noc@endurance.com
OrgNOCRef
https://rdap.arin.net/registry/entity/ENO74-ARIN

  • Country: United States
  • Network: AS29873 newfold digital inc.
  • Noticed: 1 times
  • Protcols Attacked: SSH
  • Passive DNS Results: mx.old.talithakumi.org mx.boudreau.biz driveshaftpower.com www.driveshaftpower.com mx.interstatemachinery.biz elmahrosa-expo.com mx.smobserver.com mx.love-during-covid19.com mx.scottsvintagetoysandchristmas.com mx.grandeurlimo.com mx.softskillsingcc.com eurasiasportimages.com mx.siut.org mx.flicklives.com mx.apolisinc.com knotjustthebride.com lionrice.com.au mx.pharmaget.com mx.thuminsurance.net
Disclaimer
This page contains threat intelligence information for the IPv4 address 66.96.140.139 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.