107.173.105.120 Threat Intelligence and Host Information

General

IP Address
107.173.105.120
IPv4 Address
Location
🇺🇸 United States
US
Network
AS36352
AS-COLOCROSSING
Threat Score
5/100
Low Risk
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS36352
Organization
AS-COLOCROSSING
Network
AS36352 AS-COLOCROSSING
WHOIS Information
NetRange
107.173.105.0 - 107.173.105.127
CIDR
107.173.105.0/25
NetName
CC-107-173-105-0-25
NetHandle
NET-107-173-105-0-1
Parent
CC-17 (NET-107-172-0-0-1)
NetType
Reallocated
OriginAS
AS36352
Organization
MPServ (MPSER-8)
RegDate
2016-04-10
Updated
2016-04-10
Comment
Geofeed https://geofeeds.oniaas.io/geofeeds.csv
Ref
https://rdap.arin.net/registry/entity/MPSER-8
OrgName
MPServ
OrgId
MPSER-8
Address
3004 Irving Blvd
City
Dallas
StateProv
TX
PostalCode
75247
Country
US
OrgTechHandle
VIALA4-ARIN
OrgTechName
Vial, Alex
OrgTechPhone
+1-800-518-9716
OrgTechEmail
abuse@colocrossing.com
OrgTechRef
https://rdap.arin.net/registry/entity/VIALA4-ARIN

  • Country: United States
  • Network: AS36352 colocrossing
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
Disclaimer
This page contains threat intelligence information for the IPv4 address 107.173.105.120 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.