38.49.11.110 Threat Intelligence and Host Information

General

IP Address
38.49.11.110
IPv4 Address
Location
🇺🇸 United States
US
Network
AS174
COGENT-174
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
80
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS174
Organization
COGENT-174
Network
AS174 COGENT-174
WHOIS Information
NetRange
38.49.0.0 - 38.49.63.255
CIDR
38.49.0.0/18
NetName
KURUN-CGNT-NET-3
NetHandle
NET-38-49-0-0-1
Parent
COGENT-A (NET-38-0-0-0-1)
NetType
Reallocated
OriginAS
Organization
KURUN CLOUD INC (KC-2074)
RegDate
2020-11-19
Updated
2024-11-25
Ref
https://rdap.arin.net/registry/entity/KC-2074
OrgName
KURUN CLOUD INC
OrgId
KC-2074
Address
6550 Meadow Lane PL, Rancho Cucamonga, CA 91701
City
LA
StateProv
CA
PostalCode
91701
Country
US
Comment
Geofeed https://geofeed.cogentco.com/geofeed.csv
OrgAbuseHandle
ABUSE8033-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-909-279-1111
OrgAbuseEmail
abuse@kurun.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE8033-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: www.xyzav.cc xyzav.cc cc1314.xyz yp9311.vip xxxxdyw181.vip riricao.club xxxxxx8.com www69z.com www34007c.com www-avtb2028.com www17k17.com www556ci.com wuyejiqing1.com abav123.com ccccccccccccccc.com beastiegais.com 8c6p.com 66yykk.com 5csq.com 22222eee.com kpd19.com www828222.com f9f2.com 91sefun91.com www.xzyouyang.com xzyouyang.com www.jhyongxin.com jhyongxin.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 38.49.11.110 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.