## page was renamed from DNS/danglingDNSrecords ## page was renamed from DNS/hijacking/danglingDNSrecords == DNS/hijacking/danglingDNSrecords == [[../danglingCNAMEs]] [[/BestPractices]] [[/awsdns]] ダングリングドメインによるセキュリティ脅威とその検出および蔓延状況 https://unit42.paloaltonetworks.jp/dangling-domains/ Dangling DNS Records are a Real Vulnerability Nabeel Yoosuf Jan 2, 2017 · 7 min read https://medium.com/@nabeelxy/dangling-dns-records-are-a-real-vulnerability-361f2a29d37f Dangling DNS is no laughing matter 23rd May 2019 Brett Carr headshot https://nominetcyber.com/dangling-dns-is-no-laughing-matter/ Remove AWS Route 53 Dangling DNS Records https://www.cloudconformity.com/knowledge-base/aws/Route53/dangling-dns-records.html Tool to tackle problematic dangling domains in Amazon Web Services. https://github.com/tacticaljmp/danglingaws Fishing the AWS IP Pool for Dangling https://know.bishopfox.com/blog/2015/10/fishing-the-aws-ip-pool-for-dangling-domains ---- All Your DNS Records Point to UsUnderstanding the Security Threats of Dangling DNS Record https://www.eecis.udel.edu/~hnw/paper/ccs16a.pdf (2016) ABSTRACT In a dangling DNS record (Dare), the resources pointed to by theDNS record are invalid, but the record itself has not yet been purged from DNS. In this paper, we shed light on a largely overlookedthreat in DNS posed by dangling DNS records. Our work reveals that Dare can be easily manipulated by adversaries for domain hijacking. In particular, we identify three attack vectors that an adversary can harness to exploit Dares. In a large-scale measurementstudy, we uncover 467 exploitable Dares in 277 Alexa top 10,000domains and 52edu zones, showing that Dare is a real, preva-lent threat. By exploiting these Dares, an adversary can take fullcontrol of the (sub)domains and can even have them signed with aCertificate Authority (CA). It is evident that the underlying causeof exploitable Dares is the lack of authenticity checking for theresources to which that DNS record points. We then propose three defense ---- Getting the Alexa top 1 million sites directly from the server, unzipping it, parsing the csv and getting each line as an array. https://gist.github.com/chilts/7229605