168.228.140.211 Threat Intelligence and Host Information
Aug 03, 2024
ipinfopage
General
IP Address
168.228.140.211
Location
🇦🇷 Caleta Olivia, Argentina
Network
AS264689
Threat Score
35/100
Attack Intelligence
MITRE ATT&CK Techniques
T1046 - Network Service Scanning
Geographic Location
Country
Argentina
City
Caleta Olivia
Region
Santa Cruz
Coordinates
-46.4344, -67.5265
Network Information
ASN
AS264689
Organization
Luciano Gabriel Chersanaz Ubnet Datacenter
Network
AS264689 Luciano Gabriel Chersanaz Ubnet Datacenter
WHOIS Information
NetRange
168.228.0.0 - 168.228.255.255
CIDR
168.228.0.0/16
NetName
LACNIC-ERX-168-228-0-0
NetHandle
NET-168-228-0-0-1
Parent
NET168 (NET-168-0-0-0-0)
NetType
Transferred to LACNIC
OriginAS
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2002-07-27
Updated
2018-03-15
Comment
Please see http://www.lacnic.net/ for further details,
Ref
https://rdap.arin.net/registry/entity/LACNIC
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
StateProv
PostalCode
11400
Country
UY
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
OrgAbusePhone
+598-2604-2222
OrgAbuseEmail
abuse@lacnic.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/LWI100-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-07-08 | Vultrparis | TELNET | View Log |
- Country: Argentina
- Network: AS264689 luciano gabriel chersanaz (ubnet datacenter)
- Noticed: 11 times
- Protocols Attacked: telnet
- Countries Attacked: Poland, United States of America
Disclaimer
This page contains threat intelligence information for the IPv4 address 168.228.140.211 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.