216.107.138.192 Threat Intelligence and Host Information

General

IP Address
216.107.138.192
IPv4 Address
Location
🇺🇸 United States
US
Network
AS
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS
Organization
Network
WHOIS Information
NetRange
216.107.138.0 - 216.107.138.255
CIDR
216.107.138.0/24
NetName
NET-216-107-138-0-24
NetHandle
NET-216-107-138-0-1
Parent
NETUTILS (NET-216-107-136-0-2)
NetType
Reassigned
OriginAS
Organization
Internet Utilities NA LLC (DCL-577)
RegDate
2025-01-07
Updated
2025-01-07
Ref
https://rdap.arin.net/registry/entity/C11061400
OrgName
Internet Utilities NA LLC
OrgId
DCL-577
Address
Private Residence
City
Middletown
StateProv
DE
PostalCode
19709
Country
US
Comment
Geofeed https://geofeed.ipxo.com/geofeed.txt
OrgAbuseHandle
IUA-ARIN
OrgAbuseName
Internet Utilities Abuse
OrgAbusePhone
+1-650-934-1667
OrgAbuseEmail
report@abuseradar.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/IUA-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: marah123.com gkk77.org kardus168.net www.diskon303.net www.rentalslot.co rentalslot.co anak303.net aob4d.net pasir99.net manga138.net joker134.net joker44.net sadis88.net pelumas69.net sukitoto.net juragan666.net joker151.net joker266.net diskon303.net mana99.net gresik138.net joker328.net joker126.net joker185.net gugur188.net tanah777.net pojokqq.net pojok303.net ninja137.net wulanslot.net serpong99.net matalelaki99.net beritatoto.net matalelaki77.net matalelaki168.net format777.net www.sulit99.com sulit99.com saingqq.co tinggal88.net wali138.net tinggal4d.net pasaranqq.net kuping123.net metaltoto.net pedas138.net udin999.net kuping138.net palubet.net kargo123.net fiabet.net usul4d.net parasit88.net chinazjare.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 216.107.138.192 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.