15.228.121.37 Threat Intelligence and Host Information
Nov 19, 2024
ipinfopage
General
IP Address
15.228.121.37
Location
🇧🇷 São Paulo, Brazil
Network
AS16509
Threat Score
15/100
Attack Intelligence
Open Ports Detected
1025
Geographic Location
Country
Brazil
City
São Paulo
Region
Sao Paulo
Coordinates
-23.5335, -46.6359
Network Information
ASN
AS16509
Organization
AMAZON-02
Network
AS16509 AMAZON-02
WHOIS Information
NetRange
15.228.0.0 - 15.229.255.255
CIDR
15.228.0.0/15
NetName
AMAZON-GRU
NetHandle
NET-15-228-0-0-2
Parent
AT-88-Z (NET-15-228-0-0-1)
NetType
Reallocated
OriginAS
Organization
Amazon Data Services Brazil (ADSB-3)
RegDate
2015-12-09
Updated
2019-08-02
Comment
* Your contact details (phone and email) Without these we will be unable to identify the correct owner of the IP address at that point in time.
Ref
https://rdap.arin.net/registry/entity/ADSB-3
OrgName
Amazon Data Services Brazil
OrgId
ADSB-3
Address
Avenida Presidente Juscelino Kubitschek, 2041, Itaim Bibi
City
Sao Paulo
StateProv
SP
PostalCode
04543-011
Country
BR
OrgRoutingHandle
ARMP-ARIN
OrgRoutingName
AWS RPKI Management POC
OrgRoutingPhone
+1-206-555-0000
OrgRoutingEmail
aws-rpki-routing-poc@amazon.com
OrgRoutingRef
https://rdap.arin.net/registry/entity/ARMP-ARIN
- Country: Brazil
- Network: AS16509 amazon.com inc
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2015-9251 CVE-2016-10735 CVE-2018-14040 CVE-2018-14042 CVE-2018-20676 CVE-2018-20677 CVE-2019-10768 CVE-2019-11358 CVE-2019-14863 CVE-2019-8331 CVE-2020-11022 CVE-2020-11023 CVE-2020-7676 CVE-2024-21490 CVE-2024-8372 CVE-2024-8373
Disclaimer
This page contains threat intelligence information for the IPv4 address 15.228.121.37 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.