198.54.126.17 Threat Intelligence and Host Information

Sep 08, 2023 ipinfopage

General

IP Address
198.54.126.17
IPv4 Address
Location
🇺🇸 United States
US
Network
AS22612
NAMECHEAP-NET
Threat Score
20/100
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
AS22612
Organization
NAMECHEAP-NET
Network
AS22612 NAMECHEAP-NET
WHOIS Information
NetRange
198.54.112.0 - 198.54.127.255
CIDR
198.54.112.0/20
NetName
NAMEC-4
NetHandle
NET-198-54-112-0-1
Parent
NET198 (NET-198-0-0-0-0)
NetType
Direct Allocation
OriginAS
Organization
Namecheap, Inc. (NAMEC-4)
RegDate
2011-01-28
Updated
2017-01-28
Ref
https://rdap.arin.net/registry/entity/NAMEC-4
OrgName
Namecheap, Inc.
OrgId
NAMEC-4
Address
11400 W. Olympic Blvd. Suite 200
City
Los Angeles
StateProv
CA
PostalCode
90064
Country
US
OrgAbuseHandle
ABUSE2885-ARIN
OrgAbuseName
Abuse team
OrgAbusePhone
+1-323-375-2822
OrgAbuseEmail
abuse@namecheaphosting.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE2885-ARIN
OrgTechHandle
EFIME-ARIN

Malware Detected on Host

Count: 5 bb6579d9037b3e6274aa4716d1885ece8a55c6b9af83d6c7705b0d6c958ecb4b fa8c02952edf20fdaff5e731ff1dc4f6768a84f3adc5716ba6f1413994e5ee83 14836cd7a4de154462916b408e0fa906f3e9dc5616490aabe5645c57e9c09ead d73b511210ae34fbcf25fa7c912f4df357b476c1d0db55fd48d4ea471cca9189 d9e00c51b84cb7149072d99a40fb3c0192b1a501aa22f4c6de51847af40af648

CVEs Detected

CVE-2016-10735 CVE-2018-14040 CVE-2018-14042 CVE-2018-20676 CVE-2018-20677 CVE-2019-8331

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Disclaimer
This page contains threat intelligence information for the IPv4 address 198.54.126.17 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.