13.229.147.73 Threat Intelligence and Host Information

General

IP Address
13.229.147.73
IPv4 Address
Location
🇸🇬 Singapore, Singapore
SG
Network
AS16509
AMAZON-02
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
1050
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.2864, 103.8503
Network Information
ASN
AS16509
Organization
AMAZON-02
Network
AS16509 AMAZON-02
WHOIS Information
NetRange
13.228.0.0 - 13.229.255.255
CIDR
13.228.0.0/15
NetName
AMAZON-SIN
NetHandle
NET-13-228-0-0-2
Parent
AT-88-Z (NET-13-200-0-0-1)
NetType
Reallocated
OriginAS
AS16509
Organization
Amazon Data Services Singapore (ADSS-3)
RegDate
2015-12-09
Updated
2019-08-02
Ref
https://rdap.arin.net/registry/entity/ADSS-3
OrgName
Amazon Data Services Singapore
OrgId
ADSS-3
Address
PO Box 482
City
Singapore
StateProv
PostalCode
049481
Country
SG
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.
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: Singapore
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy
  • Passive DNS Results: objective-cohen.13-229-147-73.plesk.page

CVEs Detected

CVE-2007-3205 CVE-2011-4718 CVE-2013-2220 CVE-2013-6501 CVE-2013-7327 CVE-2013-7456 CVE-2014-0236 CVE-2014-2020 CVE-2014-4670 CVE-2014-5459 CVE-2014-9425 CVE-2014-9426 CVE-2014-9767 CVE-2015-1351 CVE-2015-4116 CVE-2015-4601 CVE-2015-6497 CVE-2015-8865 CVE-2015-8874 CVE-2015-8877 CVE-2015-8879 CVE-2015-8994 CVE-2015-9253 CVE-2016-10158 CVE-2016-10159 CVE-2016-10161 CVE-2016-10397 CVE-2016-10712 CVE-2016-1903 CVE-2016-2554 CVE-2016-4070 CVE-2016-4342 CVE-2016-4343 CVE-2016-4537 CVE-2016-4538 CVE-2016-4539 CVE-2016-4540 CVE-2016-4541 CVE-2016-4542 CVE-2016-4543 CVE-2016-5093 CVE-2016-5094 CVE-2016-5095 CVE-2016-5096 CVE-2016-5114 CVE-2016-5399 CVE-2016-5766 CVE-2016-5767 CVE-2016-5768 CVE-2016-5769 CVE-2016-5770 CVE-2016-5771 CVE-2016-5772 CVE-2016-5773 CVE-2016-6288 CVE-2016-6289 CVE-2016-6290 CVE-2016-6291 CVE-2016-6292 CVE-2016-6294 CVE-2016-6295 CVE-2016-6296 CVE-2016-6297 CVE-2016-7124 CVE-2016-7125 CVE-2016-7126 CVE-2016-7127 CVE-2016-7128 CVE-2016-7129 CVE-2016-7130 CVE-2016-7131 CVE-2016-7132 CVE-2016-7411 CVE-2016-7412 CVE-2016-7413 CVE-2016-7414 CVE-2016-7416 CVE-2016-7417 CVE-2016-7418 CVE-2016-7478 CVE-2016-8670 CVE-2016-9137 CVE-2016-9138 CVE-2016-9933 CVE-2016-9934 CVE-2016-9935 CVE-2017-11142 CVE-2017-11143 CVE-2017-11144 CVE-2017-11145 CVE-2017-11147 CVE-2017-11628 CVE-2017-12868 CVE-2017-12933 CVE-2017-16642 CVE-2017-16943 CVE-2017-16944 CVE-2017-7272 CVE-2017-7890 CVE-2017-7963 CVE-2017-8923 CVE-2017-9224 CVE-2017-9226 CVE-2018-10545 CVE-2018-10546 CVE-2018-10547 CVE-2018-10548 CVE-2018-10549 CVE-2018-14851 CVE-2018-14883 CVE-2018-15132 CVE-2018-17082 CVE-2018-19395 CVE-2018-19396 CVE-2018-19520 CVE-2018-20783 CVE-2018-5711 CVE-2018-5712 CVE-2018-6789 CVE-2018-7584 CVE-2019-10149 CVE-2019-13917 CVE-2019-15846 CVE-2019-6977 CVE-2019-9020 CVE-2019-9021 CVE-2019-9023 CVE-2019-9024 CVE-2019-9637 CVE-2019-9638 CVE-2019-9639 CVE-2019-9641 CVE-2020-11579 CVE-2020-12783 CVE-2020-28007 CVE-2020-28008 CVE-2020-28009 CVE-2020-28010 CVE-2020-28011 CVE-2020-28012 CVE-2020-28013 CVE-2020-28014 CVE-2020-28015 CVE-2020-28016 CVE-2020-28017 CVE-2020-28019 CVE-2020-28020 CVE-2020-28021 CVE-2020-28022 CVE-2020-28023 CVE-2020-28024 CVE-2020-28025 CVE-2020-28026 CVE-2020-8015 CVE-2021-27216 CVE-2021-38371 CVE-2022-31628 CVE-2022-31629 CVE-2022-37451 CVE-2022-37452 CVE-2022-4900 CVE-2023-51766 CVE-2024-4577

Disclaimer
This page contains threat intelligence information for the IPv4 address 13.229.147.73 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.