209.58.144.131 Threat Intelligence and Host Information

General

IP Address
209.58.144.131
IPv4 Address
Location
🇺🇸 Dallas, United States
US
Network
AS394380
LEASEWEB-USA-DAL
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
110
Geographic Location
Country
United States
City
Dallas
Region
Texas
Coordinates
32.7908, -96.8336
Network Information
ASN
AS394380
Organization
LEASEWEB-USA-DAL
Network
AS394380 LEASEWEB-USA-DAL
WHOIS Information
NetRange
209.58.144.0 - 209.58.159.255
CIDR
209.58.144.0/20
NetName
LEASEWEB-USA-DAL-10
NetHandle
NET-209-58-144-0-2
Parent
LEASEWEB-USA-DAL-10 (NET-209-58-144-0-1)
NetType
Reallocated
OriginAS
AS394380
Organization
Leaseweb USA, Inc. (LU-79)
RegDate
2015-09-03
Updated
2016-03-15
Comment
Please send all abuse notifications to the following email address: abuse@us.leaseweb.com. To ensure proper processing of your abuse notification, please visit the website www.leaseweb.com/abuse for notification requirements. All police and other government agency requests must be sent to subpoenas@us.leaseweb.com.
Ref
https://rdap.arin.net/registry/entity/LU-79
OrgName
Leaseweb USA, Inc.
OrgId
LU-79
Address
1950 North Stemmons Freeway Suites 1039A, 2048, & 2049
City
Dallas
StateProv
TX
PostalCode
75207
Country
US
OrgNOCHandle
LEASE-ARIN
OrgNOCName
Leaseweb ARIN
OrgNOCPhone
+1-571-814-3777
OrgNOCEmail
netops@us.leaseweb.com
OrgNOCRef
https://rdap.arin.net/registry/entity/LEASE-ARIN

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465

Disclaimer
This page contains threat intelligence information for the IPv4 address 209.58.144.131 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.