108.62.24.55 Threat Intelligence and Host Information

General

IP Address
108.62.24.55
IPv4 Address
Location
🇺🇸 Lombard, United States
US
Network
AS27411
LEASEWEB-USA-CHI
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
111
Geographic Location
Country
United States
City
Lombard
Region
Illinois
Coordinates
41.8740, -88.0038
Network Information
ASN
AS27411
Organization
LEASEWEB-USA-CHI
Network
AS27411 LEASEWEB-USA-CHI
WHOIS Information
NetRange
108.62.24.0 - 108.62.31.255
CIDR
108.62.24.0/21
NetName
108-62-24-0
NetHandle
NET-108-62-24-0-1
Parent
NET-108-62-0-0-1 (NET-108-62-0-0-1)
NetType
Reallocated
OriginAS
Organization
LeaseWeb USA, Inc. Chicago (LUC-11)
RegDate
2017-07-26
Updated
2018-11-19
Ref
https://rdap.arin.net/registry/entity/LUC-11
OrgName
LeaseWeb USA, Inc. Chicago
OrgId
LUC-11
Address
1850 Springer Drive
City
Chicago
StateProv
IL
PostalCode
60148
Country
US
Comment
www.leaseweb.com
OrgAbuseHandle
LUAD3-ARIN
OrgAbuseName
Leaseweb US abuse dept
OrgAbusePhone
+1-571-814-3777
OrgAbuseEmail
abuse@us.leaseweb.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/LUAD3-ARIN

  • Country: United States
  • Network: AS27411 leaseweb usa inc.
  • Noticed: 1 times
  • Protcols Attacked: Anonymous Proxy

CVEs Detected

CVE-2018-19131 CVE-2018-19132 CVE-2019-12519 CVE-2019-12520 CVE-2019-12521 CVE-2019-12522 CVE-2019-12523 CVE-2019-12524 CVE-2019-12525 CVE-2019-12526 CVE-2019-12528 CVE-2019-12529 CVE-2019-13345 CVE-2019-18676 CVE-2019-18677 CVE-2019-18678 CVE-2019-18679 CVE-2019-18860 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 CVE-2020-8449 CVE-2020-8450 CVE-2020-8517 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41318

Disclaimer
This page contains threat intelligence information for the IPv4 address 108.62.24.55 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.