139.144.239.185 Threat Intelligence and Host Information
May 25, 2025
ipinfopage
General
IP Address
139.144.239.185
Location
🇺🇸 United States
Network
AS
Threat Score
35/100
Attack Intelligence
MITRE ATT&CK Techniques
T1498 - Network Denial of Service
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS
Organization
Network
WHOIS Information
NetRange
139.144.0.0 - 139.144.255.255
CIDR
139.144.0.0/16
NetName
LINODE
NetHandle
NET-139-144-0-0-2
Parent
LINOD (NET-139-144-0-0-1)
NetType
Reassigned
OriginAS
AS63949
Organization
Linode (LINOD)
RegDate
2008-04-24
Updated
2022-12-15
Comment
http://www.linode.com
Ref
https://rdap.arin.net/registry/entity/LINOD
OrgName
Linode
OrgId
LINOD
Address
249 Arch St
City
Philadelphia
StateProv
PA
PostalCode
19106
Country
US
OrgAbuseHandle
LAS12-ARIN
OrgAbuseName
Linode Abuse Support
OrgAbusePhone
+1-609-380-7100
OrgAbuseEmail
abuse@linode.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/LAS12-ARIN
- Country: United States
- Network:
- Noticed: 50 times
- Protocols Attacked: SSH
- Countries Attacked: Anguilla, Aruba, Australia, Bahamas, Barbados, Canada, Cayman Islands, Costa Rica, Curaçao, Georgia, Guatemala, Japan, Mexico, Netherlands, Panama, Philippines, Poland, Saint Kitts and Nevis, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), Tanzania United Republic of, Trinidad and Tobago, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
- Passive DNS Results: 139-144-239-185.ipv4.staticdns1.io
Disclaimer
This page contains threat intelligence information for the IPv4 address 139.144.239.185 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.