<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2006.15794/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2006.15794/feed.xml" rel="self" type="application/rss+xml" /><item><title>CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks — mentioned by ultimape</title><link>https://news.ycombinator.com/item?id=26298612</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.15794:26298612</guid><pubDate>Mon, 01 Mar 2021 00:51:35 GMT</pubDate><description>&lt;p&gt;This is basically a mechanism that would allow for a honeytrap on steroids. https://blog.finjan.com/honeytokens-used-to-track-cybercrimi... &amp;gt; that would require keeping track of bogus submissions You don&amp;#x27;t have to keep track of the submissions because you can generate them with a reversible algorithm. Basically use a word list method https://github.com/bitcoin/bips/blob/master/bip-0039.mediawi... but have the list be entirely people&amp;#x27;s names (or generated from a corpus of known accounts and something like https://github.com/minimaxir/textgenrnn to make them harder to spot) &amp;gt; generating new…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.15794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks — mentioned by shehrozef</title><link>https://news.ycombinator.com/item?id=23728727</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.15794:23728727</guid><pubDate>Fri, 03 Jul 2020 23:55:32 GMT</pubDate><description>&lt;p&gt;Hello everyone, Lead author of the paper here. I am encouraged to see such insightful discussion on our work. Excited to discuss and address any questions/concerns that you anyone may have. A preprint of our full paper can be found here: https://arxiv.org/pdf/2006.15794.pdf. We are also publicly sharing a disclosure page (https://github.com/shehrozef/canarytrap). This page contains details of third-party apps which are detected as misusing user data or violating Facebook&amp;#x27;s TOS in our work.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.15794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks — mentioned by jshprentz</title><link>https://news.ycombinator.com/item?id=23724909</link><guid isPermaLink="false">urn:hackerpapers:mention:2006.15794:23724909</guid><pubDate>Fri, 03 Jul 2020 15:38:16 GMT</pubDate><description>&lt;p&gt;The research paper[1] contains a list of the 16 apps on page 11. [1] https://arxiv.org/pdf/2006.15794.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2006.15794/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item><item><title>CanaryTrap: Detecting Data Misuse by Third-Party Apps on Online Social Networks — HN submission</title><link>https://news.ycombinator.com/item?id=23723786</link><guid isPermaLink="false">urn:hackerpapers:submission:2006.15794:23723786</guid><pubDate>Fri, 03 Jul 2020 13:25:27 GMT</pubDate><description>&lt;p&gt;CanaryTrap: Detecting data misuse by third-party apps on online social networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;83 points; 22 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2006.15794/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.CY</category></item></channel></rss>
