{"id":13285,"date":"2021-12-08T21:03:57","date_gmt":"2021-12-09T02:03:57","guid":{"rendered":"https:\/\/carleton.ca\/scs\/?page_id=13285"},"modified":"2026-06-02T14:59:23","modified_gmt":"2026-06-02T18:59:23","slug":"tr-08-21-on-predicting-and-exploiting-hot-spots-in-click-based-graphical-passwords","status":"publish","type":"page","link":"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-2008\/tr-08-21-on-predicting-and-exploiting-hot-spots-in-click-based-graphical-passwords\/","title":{"rendered":"TR-08-21: On Predicting and Exploiting Hot-Spots in Click-Based Graphical Passwords"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        TR-08-21: On Predicting and Exploiting Hot-Spots in Click-Based Graphical Passwords\n                    <\/h1>\n                \n                                \n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n<p>Carleton University<br>\n<a href=\"https:\/\/carleton.ca\/scs\/research\/scs-technical-reports\/technical-reports-2008\/\">Technical Report<\/a> TR-08-21<br>\nNovember 7, 2008<\/p>\n\n\n\n<h2 id=\"on-predicting-and-exploiting-hot-spots-in-click-based-graphical-passwords\" class=\"wp-block-heading\">On Predicting and Exploiting Hot-Spots in Click-Based Graphical Passwords<\/h2>\n\n\n\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<div class=\"tr_t3\">\n<p class=\"tr_t3\">P.C. van Oorschot &amp; J. Thorpe<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<h3>Abstract<\/h3>\n<p>We provide an in-depth study of the security of click-based graphical password schemes like PassPoints (Weidenbeck et al., 2005), by exploring popular points (hot-spots), and examining strategies to predict and exploit them in guessing attacks. We report on both short- and long-term user studies: one lab-controlled, involving 43 users and 17 diverse images, the other a field test of 223 user accounts. We provide empirical evidence that hot-spots do exist for many images, some more so than others. We explore the use of &#8220;human-computation&#8221; (in this context, harvesting click-points from a small set of users) to predict these hot-spots. We generate two &#8220;human-seeded&#8221; attacks based on this method: one based on a first-order Markov model, another based on an independent probability model. Within 100 guesses, our first-order Markov model-based attack guesses 4% of passwords in one instance, and 10% of passwords in a second instance. Our independent model-based attack guesses 20% within 2^33 guesses in one instance and 36% within 2^31 guesses in a second instance. These are all for a system whose full password space has cardinality 2^43. We also evaluate our first-order Markov model-based attack with cross-validation of the field study data, finding that it guesses an average of 7-10% of user passwords within 3 guesses. Our results suggest that these graphical password schemes (as originally proposed) are vulnerable to offline and online attacks, even on systems that implement conservative lock-out policies.<\/p>\n<p><a href=\"https:\/\/carleton.ca\/scs\/wp-content\/uploads\/sites\/260\/TR-08-21_Thorpe.pdf\">TR-08-21.pdf<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Carleton University Technical Report TR-08-21 November 7, 2008 On Predicting and Exploiting Hot-Spots in Click-Based Graphical Passwords P.C. van Oorschot &amp; J. Thorpe Abstract We provide an in-depth study of the security of click-based graphical password schemes like PassPoints (Weidenbeck et al., 2005), by exploring popular points (hot-spots), and examining strategies to predict and exploit [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":12410,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_cu_dining_location_slug":"","footnotes":"","_links_to":"","_links_to_target":""},"cu_page_type":[],"class_list":["post-13285","page","type-page","status-publish","hentry"],"acf":{"cu_post_thumbnail":false},"_links":{"self":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/13285","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/comments?post=13285"}],"version-history":[{"count":1,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/13285\/revisions"}],"predecessor-version":[{"id":13287,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/13285\/revisions\/13287"}],"up":[{"embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/pages\/12410"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/media?parent=13285"}],"wp:term":[{"taxonomy":"cu_page_type","embeddable":true,"href":"https:\/\/carleton.ca\/scs\/wp-json\/wp\/v2\/cu_page_type?post=13285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}