38.180.144.223 Threat Intelligence and Host Information

General

IP Address
38.180.144.223
IPv4 Address
Location
🇺🇸 United States
US
Network
AS174
COGENT-174
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
25
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS174
Organization
COGENT-174
Network
AS174 COGENT-174
WHOIS Information
NetRange
38.180.144.0 - 38.180.144.255
CIDR
38.180.144.0/24
NetName
CLOUD-NETWORK-AT
NetHandle
NET-38-180-144-0-1
Parent
3NT-CGNT-NET-1 (NET-38-180-0-0-1)
NetType
Reassigned
OriginAS
AS9009
Organization
3NT SOLUTIONS LLP (NSL-384)
RegDate
2023-01-06
Updated
2023-01-12
Comment
As an internet service provider (ISP), we offer IP transit and bandwidth services that are self-managed by our customers. As a result, we do not utilize this IP space ourselves. If you encounter any issues related to spam, fraud, phishing, DDoS, port scans, or other similar problems, please do not hesitate to reach out to us with the relevant information. Our abuse email is abuse@3nt.com
Ref
https://rdap.arin.net/registry/entity/NSL-384
OrgName
3NT SOLUTIONS LLP
OrgId
NSL-384
Address
22 Brondesbury Park, Willesden
City
LONDON
StateProv
PostalCode
NW6 7DL
Country
GB
OrgNOCHandle
RERE1-ARIN
OrgNOCName
Emmerich, Raul Eduardo Ribeiro
OrgNOCPhone
+442081333030
OrgNOCEmail
noc@3nt.com
OrgNOCRef
https://rdap.arin.net/registry/entity/RERE1-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: innovdesignstd.com

Malware Detected on Host

Count: 1 05e8e187a33a37fd7d104e7309a24380136232f6d2cbfbc539dab52c9f3aa284

Disclaimer
This page contains threat intelligence information for the IPv4 address 38.180.144.223 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.