107.180.39.228 Threat Intelligence and Host Information

Oct 10, 2023 ipinfopage

General

IP Address
107.180.39.228
IPv4 Address
Location
🇺🇸 Ashburn, United States
US
Network
AS26496
AS-26496-GO-DADDY-COM-LLC
Threat Score
17/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Ashburn
Region
Virginia
Coordinates
39.0469, -77.4903
Network Information
ASN
AS26496
Organization
AS-26496-GO-DADDY-COM-LLC
Network
AS26496 AS-26496-GO-DADDY-COM-LLC
WHOIS Information
NetRange
107.180.0.0 - 107.180.127.255
CIDR
107.180.0.0/17
NetName
GO-DADDY-COM-LLC
NetHandle
NET-107-180-0-0-1
Parent
NET107 (NET-107-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS26496
Organization
GoDaddy.com, LLC (GODAD)
RegDate
2007-06-01
Updated
2022-08-02
Comment
Please send abuse complaints to abuse@godaddy.com
Ref
https://rdap.arin.net/registry/entity/GODAD
OrgName
GoDaddy.com, LLC
OrgId
GODAD
Address
2155 E GoDaddy Way
City
Tempe
StateProv
AZ
PostalCode
85284
Country
US
OrgTechHandle
NOC124-ARIN
OrgTechName
Network Operations Center
OrgTechPhone
+1-480-505-8809
OrgTechEmail
noc@godaddy.com
OrgTechRef
https://rdap.arin.net/registry/entity/NOC124-ARIN

CVEs Detected

CVE-2010-4478 CVE-2010-4755 CVE-2010-5107 CVE-2011-4327 CVE-2011-5000 CVE-2012-0814 CVE-2014-1692 CVE-2014-2532 CVE-2014-2653 CVE-2015-5352 CVE-2015-5600 CVE-2015-6563 CVE-2015-6564 CVE-2016-0777 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408

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Disclaimer
This page contains threat intelligence information for the IPv4 address 107.180.39.228 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.