148.227.74.250 Threat Intelligence and Host Information
Sep 08, 2026
ipinfopage
General
IP Address
148.227.74.250
Location
🇦🇷 Buenos Aires, Argentina
Network
AS14593
Threat Score
22/100
Geographic Location
Country
Argentina
City
Buenos Aires
Region
Buenos Aires F.D.
Coordinates
-34.6142, -58.3811
Network Information
ASN
AS14593
Organization
Space Exploration Technologies Corporation
Network
AS14593 Space Exploration Technologies Corporation
WHOIS Information
NetRange
148.224.52.0 - 148.227.169.255
CIDR
148.225.0.0/16, 148.226.0.0/16, 148.224.56.0/21, 148.227.128.0/19, 148.227.160.0/21, 148.224.128.0/17, 148.224.52.0/22, 148.227.0.0/17, 148.227.168.0/23, 148.224.64.0/18
NetName
LACNIC-ERX-148-201-0-0
NetHandle
NET-148-224-52-0-1
Parent
NET148 (NET-148-0-0-0-0)
NetType
Transferred to LACNIC
OriginAS
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2002-07-27
Updated
2018-03-15
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
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
OrgTechPhone
+598-2604-2222
OrgTechRef
https://rdap.arin.net/registry/entity/LACNIC-ARIN
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-27 | Digitaloceantoronto-Combined | MULTIPLE | View Log |
- Country: Argentina
- Network:
- Noticed: 1 times
- Protocols Attacked: combined portscan
Disclaimer
This page contains threat intelligence information for the IPv4 address 148.227.74.250 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.