172.235.173.240 Threat Intelligence and Host Information
Dec 26, 2024
ipinfopage
General
IP Address
172.235.173.240
Location
🇺🇸 United States
Network
AS20940
Threat Score
15/100
Attack Intelligence
Open Ports Detected
53
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS20940
Organization
Akamai International B.V.
Network
AS20940 Akamai International B.V.
WHOIS Information
NetRange
172.232.0.0 - 172.239.255.255
CIDR
172.232.0.0/13
NetName
LINODE
NetHandle
NET-172-232-0-0-1
Parent
AKAMAI (NET-172-224-0-0-1)
NetType
Reassigned
OriginAS
AS63949
Organization
Linode (LINOD)
RegDate
2008-04-24
Updated
2022-12-15
Ref
https://rdap.arin.net/registry/entity/LINOD
OrgName
Linode
OrgId
LINOD
Address
249 Arch St
City
Philadelphia
StateProv
PA
PostalCode
19106
Country
US
OrgTechHandle
IPADM11-ARIN
OrgTechName
ipadmin
OrgTechPhone
+1-617-444-0017
OrgTechEmail
ip-admin@akamai.com
OrgTechRef
https://rdap.arin.net/registry/entity/IPADM11-ARIN
OrgAbuseHandle
LAS12-ARIN
- Country: United States
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2019-12519 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-28662 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824 CVE-2024-45802
Disclaimer
This page contains threat intelligence information for the IPv4 address 172.235.173.240 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.