23.19.100.35 Threat Intelligence and Host Information

General

IP Address
23.19.100.35
IPv4 Address
Location
🇺🇸 Miami, United States
US
Network
AS393886
LEASEWEB-USA-MIA
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
3128
Geographic Location
Country
United States
City
Miami
Region
Florida
Coordinates
25.7689, -80.1946
Network Information
ASN
AS393886
Organization
LEASEWEB-USA-MIA
Network
AS393886 LEASEWEB-USA-MIA
WHOIS Information
NetRange
23.19.96.0 - 23.19.103.255
CIDR
23.19.96.0/21
NetName
23-19-96-0
NetHandle
NET-23-19-96-0-1
Parent
LU (NET-23-19-64-0-2)
NetType
Reallocated
OriginAS
Organization
Leaseweb USA, Inc. (LU-187)
RegDate
2019-02-13
Updated
2019-02-13
Ref
https://rdap.arin.net/registry/entity/LU-187
OrgName
Leaseweb USA, Inc.
OrgId
LU-187
Address
2115 NW 22nd St
City
Miami
StateProv
FL
PostalCode
33142
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: AS393886 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 23.19.100.35 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.