13.212.145.251 Threat Intelligence and Host Information
Jan 11, 2025
ipinfopage
General
IP Address
13.212.145.251
IPv4 Address
Location
🇸🇬 Singapore, Singapore
SG
Network
AS16509
AMAZON-02
Threat Score
10/100
Low Risk
Geographic Location
Coordinates
1.3036, 103.8554
Network Information
Network
AS16509 AMAZON-02
- Country: Singapore
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2007-2768
CVE-2008-3844
CVE-2012-6708
CVE-2015-9251
CVE-2016-20012
CVE-2017-15906
CVE-2017-7656
CVE-2017-7657
CVE-2017-7658
CVE-2018-12536
CVE-2018-12545
CVE-2018-15473
CVE-2018-15919
CVE-2018-20685
CVE-2019-10241
CVE-2019-10247
CVE-2019-10768
CVE-2019-11358
CVE-2019-6109
CVE-2019-6110
CVE-2019-6111
CVE-2020-11022
CVE-2020-11023
CVE-2020-14145
CVE-2020-15778
CVE-2020-27216
CVE-2020-27218
CVE-2020-27223
CVE-2020-7656
CVE-2020-7676
CVE-2021-28165
CVE-2021-28169
CVE-2021-34428
CVE-2021-36368
CVE-2021-41617
CVE-2022-2047
CVE-2022-2048
CVE-2023-26048
CVE-2023-26049
CVE-2023-36478
CVE-2023-36479
CVE-2023-38408
CVE-2023-40167
CVE-2023-44487
CVE-2023-48795
CVE-2023-51385
CVE-2023-51767
CVE-2024-21490
CVE-2024-6763
CVE-2024-8184
CVE-2024-8372
CVE-2024-8373
Disclaimer
This page contains threat intelligence information for the IPv4 address 13.212.145.251 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.