Deceptive Previews: A Study of the Link Preview Trustworthiness in Social Platforms
Giada Stivala, Giancarlo Pellegrino
Abstract
Social media has become a primary mean of content and information sharing, thanks to its speed and simplicity. In this scenario, link previews play the important role of giving a meaningful first glance to users, summarizing the content of the shared webpage within their title, description and image. In our work, we analyzed the preview-rendering process, observing how it is possible to misuse it to obtain benign-looking previews for malicious links. Concrete use-case of this research field is phishing and spam spread, considering targeted attacks in addition to large-scale campaigns.
We designed a set of experiments for 20 social media platforms including social networks and instant messenger applications and found out how most of the platforms follow their own preview design and format, sometimes providing partial information. Four of these platforms allow preview crafting so as to hide the malicious target even to a tech-savvy user, and we found that it is possible to create misleading previews for the remaining 16 platforms when an attacker can register their own domain. We also observe how 18 social media platforms do not employ active nor passive countermeasures against the spread of known malicious links or software, and that existing cross-checks on malicious URLs can be bypassed through client and server-side redirections. To conclude, we suggest seven recommendations covering the spectrum of our findings, to improve the overall preview-rendering mechanism and increase users’ overall trust in social media platforms.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers4
- Where URLs Become Weapons: Automated Discovery of SSRF Vulnerabilities in Web ApplicationsEnze Wang, Jianjun Chen, Wei Xie, Chuhan Wang et al.S&P 2024 · 15 citations
- SSRF vs. Developers: A Study of SSRF-Defenses in PHP ApplicationsMalte Wessels, Simon Koch, Giancarlo Pellegrino, Martin JohnsUSENIX Security 2024 · 8 citations
- Misdirection of Trust: Demystifying the Abuse of Dedicated URL Shortening ServiceZhibo Zhang, Lei Zhang, Zhangyue Zhang, Geng Hong et al.NDSS 2025
- To Err.Is Human: Characterizing the Threat of Unintended URLs in Social MediaBeliz Kaleli, Brian Kondracki, Manuel Egele, Nick Nikiforakis et al.NDSS 2021
Builds on3
- PhishFarm: A Scalable Framework for Measuring the Effectiveness of Evasion Techniques against Browser Phishing BlacklistsAdam Oest, Yeganeh Safaei, Adam Doupé, Gail-Joon Ahn et al.S&P 2019 · 129 citations
- PhishEye: Live Monitoring of Sandboxed Phishing KitsXiao Han, Nizar Kheir, Davide BalzarottiCCS 2016 · 118 citations
- Cloak of Visibility: Detecting When Machines Browse a Different WebLuca Invernizzi, Kurt Thomas, Alexandros Kapravelos, Oxana Comanescu et al.S&P 2016 · 93 citations
Related papers
- PhishinWebView: Analysis of Anti-Phishing Entities in Mobile Apps with WebView Targeted PhishingYoonjung Choi, Woonghee Lee, Junbeom HurWWW 2024 · 5 citations
- POISED: Spotting Twitter Spam Off the Beaten PathsShirin Nilizadeh, Francois Labreche, Alireza Sedighian, Ali Zand et al.CCS 2017 · 55 citations
- PhishPrint: Evading Phishing Detection Crawlers by Prior ProfilingBhupendra Acharya, Phani VadrevuUSENIX Security 2021 · 37 citations
- Restricting the Link: Effects of Focused Attention and Time Delay on Phishing Warning EffectivenessJustin Petelka, Benjamin Berens, Carlo Sugatan, Melanie Volkamer et al.S&P 2025
- "Please don't send that bot anything": A Mixed-methods Study of Personal Impersonation Attacks Targeting Digital Payments on Social MediaHoang Dai Nguyen, Sumit Dhungana, Madhulika Itha, Phani VadrevuUSENIX Security 2025
