216.45.58.182 Threat Intelligence and Host Information
Aug 25, 2024
ipinfopage
General
IP Address
216.45.58.182
IPv4 Address
Location
🇺🇸 Los Angeles, United States
US
Network
AS8100
ASN-QUADRANET-GLOBAL
Threat Score
15/100
Low Risk
Geographic Location
Coordinates
34.0485, -118.2529
Network Information
Organization
ASN-QUADRANET-GLOBAL
Network
AS8100 ASN-QUADRANET-GLOBAL
WHOIS Information
NetRange
216.45.48.0 - 216.45.63.255
NetHandle
NET-216-45-48-0-1
Parent
NET216 (NET-216-0-0-0-0)
Organization
QuadraNet Enterprises LLC (QEL-5)
Ref
https://rdap.arin.net/registry/entity/QEL-5
OrgName
QuadraNet Enterprises LLC
OrgAbuseHandle
QUADR4-ARIN
OrgAbuseName
QuadraNet Abuse
OrgAbusePhone
+1-213-614-8371
OrgAbuseEmail
abuse@quadranet.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/QUADR4-ARIN
- Country: United States
- Network: AS8100 quadranet enterprises llc
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2007-2768
CVE-2007-4723
CVE-2008-3844
CVE-2009-0796
CVE-2009-1390
CVE-2009-2299
CVE-2009-3765
CVE-2009-3766
CVE-2009-3767
CVE-2011-1176
CVE-2011-2688
CVE-2012-3526
CVE-2012-4001
CVE-2012-4360
CVE-2013-0941
CVE-2013-0942
CVE-2013-2765
CVE-2013-4365
CVE-2016-20012
CVE-2019-0190
CVE-2019-16905
CVE-2020-14145
CVE-2020-15778
CVE-2021-36368
CVE-2021-3711
CVE-2021-3712
CVE-2021-4160
CVE-2021-41617
CVE-2022-0778
CVE-2022-1292
CVE-2022-2068
CVE-2022-2097
CVE-2022-4304
CVE-2022-4450
CVE-2023-0215
CVE-2023-0286
CVE-2023-0464
CVE-2023-0465
CVE-2023-0466
CVE-2023-2650
CVE-2023-3817
CVE-2023-38408
CVE-2023-4807
CVE-2023-48795
CVE-2023-51385
CVE-2023-51767
CVE-2023-5678
CVE-2024-0727
CVE-2024-27316
CVE-2024-38474
CVE-2024-38476
CVE-2024-38477
CVE-2024-40898
Disclaimer
This page contains threat intelligence information for the IPv4 address 216.45.58.182 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.