{"id":36630,"date":"2020-08-14T10:53:00","date_gmt":"2020-08-14T10:53:00","guid":{"rendered":"http:\/\/951672fc-cbfb-4375-9772-729209d1fbc3"},"modified":"2020-08-14T10:53:00","modified_gmt":"2020-08-14T10:53:00","slug":"a-simple-telephony-honeypot-received-1-5-million-robocalls-across-11-months","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/a-simple-telephony-honeypot-received-1-5-million-robocalls-across-11-months\/","title":{"rendered":"A simple telephony honeypot received 1.5 million robocalls across 11 months"},"content":{"rendered":"<figure class=\"image image-original shortcode-image\"><span class=\"img aspect-set \"><img decoding=\"async\" src=\"https:\/\/zdnet3.cbsistatic.com\/hub\/i\/2019\/03\/19\/cd625919-b5c7-496d-88bc-daab0d1d2072\/kod-robocalls-970x546.jpg\" class alt=\"kod-robocalls-970x546.jpg\"><\/span><figcaption><span class=\"caption\"><\/span><\/figcaption><\/figure>\n<p>In an award-winning paper presented at the USENIX security conference this week, a team of academics from North Carolina State University presented a list of findings from operating a massive telephony honeypot for 11 months for the sole purpose of tracking, identifying, and analyzing the robocalling phenomenon in the US. <\/p>\n<p>NCSU researchers said they ran 66,606 telephone lines between March 2019 and January 2020, during which time they said to have received 1,481,201 unsolicited calls &#8212; even if they never made their phone numbers public via any source. <\/p>\n<p>The research team said they usually received an unsolicited call every 8.42 days, but most of the robocall traffic came in sudden surges they called &#8220;storms&#8221; that happened at regular intervals, suggesting that robocallers operated using a tactic of short-burst and well-organized campaigns. <\/p>\n<p>In total, the NCSU team said it tracked 650 storms over 11 months, with most storms being of the same size. <\/p>\n<figure class=\"image image-original shortcode-image\"><span class=\"img aspect-set \"><img decoding=\"async\" src=\"https:\/\/www.zdnet.com\/article\/a-simple-telephony-honeypot-received-1-5-million-robocalls-across-11-months\/\" class=\"lazy\" alt=\"ncsu-storm.png\" height=\"auto\" width=\"1200\" data-original=\"https:\/\/zdnet2.cbsistatic.com\/hub\/i\/r\/2020\/08\/14\/4b0d5663-6ab6-47bf-9e69-8988da52c538\/resize\/1200xauto\/9a70c7a21f07043d7dab4c781563c3da\/ncsu-storm.png\"><\/span><noscript><span class=\"img aspect-set \"><img decoding=\"async\" src=\"https:\/\/zdnet2.cbsistatic.com\/hub\/i\/r\/2020\/08\/14\/4b0d5663-6ab6-47bf-9e69-8988da52c538\/resize\/1200xauto\/9a70c7a21f07043d7dab4c781563c3da\/ncsu-storm.png\" class alt=\"ncsu-storm.png\" height=\"auto\" width=\"1200\"><\/span><\/noscript><figcaption><span class=\"caption\"><\/span><span class=\"credit\"> Image: Prasad et al. <\/span><\/figcaption><\/figure>\n<p>But the research team also said that not all calls during a storm were from the robocallers themselves and that a large chunk of calls also came from real persons. <\/p>\n<p>Researchers believe this happened because, at the time of the storm, the robocalling operation had been using a technique known as &#8220;caller ID spoofing&#8221; to hide their real phone numbers and pass as real persons. <\/p>\n<p>If victims of the robocalling campaign missed the call and called back the spoofed number, they&#8217;d eventually end up calling the research team&#8217;s honeypot telephone numbers. <\/p>\n<section class=\"sharethrough-top\" data-component=\"medusaContentRecommendation\" data-medusa-content-recommendation-options=\"{&quot;promo&quot;:&quot;promo_zd_recommendation_sharethrough_top_in_article_desktop&quot;,&quot;spot&quot;:&quot;dfp-in-article&quot;}\"> <\/section>\n<p>Ironically, researchers also caught a storm outside of their honeypot network.<\/p>\n<blockquote readability=\"9\">\n<p>&#8220;Interestingly, a colleague in our lab was a victim of a storm event. He was overwhelmed with calls from hundreds of strangers complaining that they had received a call from him! Needless to say, he was unable to use his phone for a few days until the calls died down.&#8221; <\/p>\n<\/blockquote>\n<p>But the NCSU team also recorded a 10% sample (~150,000) of the robocalls they received, which they later analyzed using audio processing tools to determine the source and content of the robocall itself. <\/p>\n<p>Academics said they detected 2,687 unique robocalling campaigns, with the largest ones promoting student loans, health insurance, Google search promotion services, and Social Security scams. <\/p>\n<figure class=\"image image-original shortcode-image\"><span class=\"img aspect-set \"><img decoding=\"async\" src=\"https:\/\/www.zdnet.com\/article\/a-simple-telephony-honeypot-received-1-5-million-robocalls-across-11-months\/\" class=\"lazy\" alt=\"ncsu-campaigns.png\" data-original=\"https:\/\/zdnet1.cbsistatic.com\/hub\/i\/2020\/08\/14\/f960ee78-8964-43f1-bcd6-d5854fcf33a7\/ncsu-campaigns.png\"><\/span><noscript><span class=\"img aspect-set \"><img decoding=\"async\" src=\"https:\/\/zdnet1.cbsistatic.com\/hub\/i\/2020\/08\/14\/f960ee78-8964-43f1-bcd6-d5854fcf33a7\/ncsu-campaigns.png\" class alt=\"ncsu-campaigns.png\"><\/span><\/noscript><figcaption><span class=\"caption\"><\/span><span class=\"credit\"> Image: Prasad et al. <\/span><\/figcaption><\/figure>\n<p>However, the research team&#8217;s biggest finding was that after answering 1.5 million robocalls across 66,000 phone numbers, researchers said they didn&#8217;t see a spike in subsequent robocalls. <\/p>\n<p>&#8220;News reports and regulatory agencies recommend phone users to avoid answering calls from unknown numbers to reduce the number of robocalls,&#8221; researchers said. <\/p>\n<p>&#8220;Surprisingly, we found that answering phone calls does not necessarily increase the number of robocalls you would receive. Phone users should be cautious when you get a call from an unknown number.&nbsp;<strong>However, occasionally answering an unsolicited phone call does not mean you will receive more robocalls<\/strong>.&#8221; (Emphasis ours.)<\/p>\n<p>Additional details about the NCSU robocalling research project are available in the &#8220;Who&#8217;s Calling? Characterizing Robocalls through Audio and Metadata Analysis&#8221; academic paper [<a href=\"https:\/\/www.usenix.org\/system\/files\/sec20-prasad.pdf\" target=\"_blank\" rel=\"noopener noreferrer nofollow\" data-component=\"externalLink\">PDF<\/a>]. The research team paper also received the conferences Distinguished Paper Award. <\/p>\n<p>A recorded video of the research team&#8217;s USENIX talk is available&nbsp;<a href=\"https:\/\/www.usenix.org\/conference\/usenixsecurity20\/presentation\/prasad\" target=\"_blank\" rel=\"noopener noreferrer nofollow\" data-component=\"externalLink\">here<\/a>. <\/p>\n<p> READ MORE <a href=\"https:\/\/www.zdnet.com\/article\/a-simple-telephony-honeypot-received-1-5-million-robocalls-across-11-months\/#ftag=RSSbaffb68\">HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers say that most campaigns take place in short-burst storms and that answering a robocall doesn&#8217;t mean you&#8217;ll be targeted more often in the future.<br \/>\nREAD MORE HERE&#8230;<\/p>\n","protected":false},"author":2,"featured_media":36631,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[62],"tags":[],"class_list":["post-36630","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-zdnet-security"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A simple telephony honeypot received 1.5 million robocalls across 11 months 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security &amp; Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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