198.54.115.216 Threat Intelligence and Host Information

General

IP Address
198.54.115.216
IPv4 Address
Location
🇺🇸 United States
US
Network
AS22612
NAMECHEAP-NET
Threat Score
42/100
Medium Risk
agentteslaagentteslaexearkeistealerazorultazorultexedanabotdarkratdridex
Attack Intelligence
Open Ports Detected
2083
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
2024-11-25
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
OrgTechHandle
EFIME-ARIN
OrgTechName
Efimenko, Igor
OrgTechPhone
+1-323-375-2822
OrgTechEmail
igor.e@namecheap.com
OrgTechRef
https://rdap.arin.net/registry/entity/EFIME-ARIN
OrgAbuseHandle
ABUSE2885-ARIN

Malware Detected on Host

Count: 4 3f87a96a82100d8f5c72c645eadfe7b5e9f73457fc1caa3f17d540aa476b6dbb 5bd2c0b4452b8c9256979c505e50de409158defac9681b8b7cc4b2c786509194 969eb5bdf274ad5f39e970bc11496a4305dffc04d8ef2b603c73a4b887e4c4e9 e4e38ee4f0b07c0981350da34991760cead257c3c15974d36c1a30004df401e6

CVEs Detected

CVE-2016-10735 CVE-2018-14040 CVE-2018-14042 CVE-2018-20676 CVE-2018-20677 CVE-2019-8331 CVE-2024-6484

Disclaimer
This page contains threat intelligence information for the IPv4 address 198.54.115.216 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.