50.116.27.14 Threat Intelligence and Host Information

General

IP Address
50.116.27.14
IPv4 Address
Location
🇺🇸 Richardson, United States
US
Network
AS63949
Linode, LLC
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
Richardson
Region
Texas
Coordinates
32.9473, -96.7028
Network Information
ASN
AS63949
Organization
Linode, LLC
Network
AS63949 Linode, LLC
WHOIS Information
NetRange
50.116.0.0 - 50.116.63.255
CIDR
50.116.0.0/18
NetName
LINODE
NetHandle
NET-50-116-0-0-2
Parent
LINODE-US (NET-50-116-0-0-1)
NetType
Reassigned
OriginAS
Organization
Linode (LINOD)
RegDate
2008-04-24
Updated
2022-12-15
Comment
http://www.linode.com
Ref
https://rdap.arin.net/registry/entity/LINOD
OrgName
Linode
OrgId
LINOD
Address
249 Arch St
City
Philadelphia
StateProv
PA
PostalCode
19106
Country
US
OrgAbuseHandle
LAS12-ARIN
OrgAbuseName
Linode Abuse Support
OrgAbusePhone
+1-609-380-7100
OrgAbuseEmail
abuse@linode.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/LAS12-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: li478-14.members.linode.com ns1.box.bullyball.org ns2.box.bullyball.org autoconfig.box.bullyball.org autoconfig.bullyball.org www.bullyball.org bullyball.org box.bullyball.org

Malware Detected on Host

Count: 1 00718efb3e6db0ad4dc0a0d9f53076d89c0d9af3a8ad02bde060503d29310c80

CVEs Detected

CVE-2018-16843 CVE-2018-16844 CVE-2018-16845 CVE-2019-20372 CVE-2019-9511 CVE-2019-9513 CVE-2019-9516 CVE-2021-23017 CVE-2021-3618 CVE-2023-44487

Disclaimer
This page contains threat intelligence information for the IPv4 address 50.116.27.14 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.