97.74.85.47 Threat Intelligence and Host Information
Dec 16, 2024
ipinfopage
General
IP Address
97.74.85.47
Location
🇸🇬 Singapore, Singapore
Network
AS26496
Threat Score
15/100
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.3036, 103.8554
Network Information
ASN
AS26496
Organization
AS-26496-GO-DADDY-COM-LLC
Network
AS26496 AS-26496-GO-DADDY-COM-LLC
WHOIS Information
NetRange
97.74.0.0 - 97.74.255.255
CIDR
97.74.0.0/16
NetName
GO-DADDY-COM-LLC
NetHandle
NET-97-74-0-0-1
Parent
NET97 (NET-97-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS26496
Organization
GoDaddy.com, LLC (GODAD)
RegDate
2007-06-01
Updated
2024-11-25
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
OrgAbuseHandle
ABUSE51-ARIN
OrgAbuseName
Abuse Department
OrgAbusePhone
+1-480-624-2505
OrgAbuseEmail
abuse@godaddy.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE51-ARIN
- Country: Singapore
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: installer.xpsjobs.ph xyllium.com it.xpsjobs.ph xpsjobs.ph xsa-meet.xpsjobs.ph xpsitss.xpsjobs.ph hrsystem.xpsjobs.ph id-maker.xpsjobs.ph lms.xpsjobs.ph newsletter.xpsjobs.ph ip-97-74-85-47.ip.secureserver.net
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 97.74.85.47 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.