Cart-ology: Intercepting Targeted Advertising via Ad Network Identity Entanglement
ChangSeok Oh, Chris Kanich, Damon McCoy, Paul Pearce
摘要
Targeted advertising is a pervasive practice in the advertising ecosystem, with complex representations of user identity central to targeting. Ad networks are incentivized to tie ephemeral cookies across devices to lasting durable identifiers such as email addresses in order to develop comprehensive cross-device user profiles. Third-party ad networks typically do not have relationships with users and must rely on external parties such as merchant websites for durable identity information, introducing intricate trust relationships. We find attackers can exploit these trust relationships to confuse an ad network into linking an unprivileged attacker's browser to a victim's identity, thus "impersonating" the victim to the ad network. We present Advertising Identity Entanglement, a vulnerability to extract specific user browsing behavior from ad networks remotely, knowing only a victim's email address, with no access to the victim, ad network, or websites. This new fundamental flaw in cross-device tracking allows attackers to pass erroneous identity information to third-party ad networks, causing the networks to confuse attacker and victim. Once entangled, the attacker receives advertisements intended for the victim across the entire ad network. We find identity entanglement is a significant user privacy vulnerability where attackers can learn detailed victim browsing activity such as retail websites, products, and even specific apartments or hotels the victim has interacted with. The vulnerability is also bidirectional, with the attacker able to cause specific ads to be shown to the victim, introducing the possibility of embarrassment attacks and blackmail. We have disclosed the vulnerability; Criteo, one of the largest third-party ad networks, acknowledges the attack. CCS CONCEPTS • Security and privacy → Web application security; Domainspecific security and privacy architectures.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper3
- CookieGraph: Understanding and Detecting First-Party Tracking CookiesShaoor Munir, Sandra Deepthy Siby, Umar Iqbal, Steven Englehardt 等CCS 2023 · 被引用 22 次
- Exploring Covert Third-party Identifiers through External Storage in the Android New EraZikan Dong, Tianming Liu, Jiapeng Deng, Haoyu Wang 等USENIX Security 2024 · 被引用 11 次
- Exploring Privacy Leakage and Data Disclosure Violations in the MacOS Application EcosystemJyotirmay Chauhan, Kostas Solomos, Mir Masood Ali, Jason PolakisCCS 2026
它引用的顶会 Paper5
- Tracing Information Flows Between Ad Exchanges Using Retargeted AdsMuhammad Ahmad Bashir, Sajjad Arshad, William K. Robertson, Christo WilsonUSENIX Security 2016 · 被引用 132 次
- User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track UsersEmmanouil Papadogiannakis, Panagiotis Papadopoulos, Nicolas Kourtellis, Evangelos P. MarkatosWWW 2021 · 被引用 99 次
- A Privacy Analysis of Cross-device TrackingSebastian Zimmeck, Jie S. Li, Hyungtae Kim, Steven M. Bellovin 等USENIX Security 2017 · 被引用 72 次
- Cookie Swap Party: Abusing First-Party Cookies for Web TrackingQuan Chen, Panagiotis Ilia, Michalis Polychronakis, Alexandros KapravelosWWW 2021 · 被引用 57 次
- Journey to the Center of the Cookie Ecosystem: Unraveling Actors' Roles and RelationshipsIskander Sánchez-Rola, Matteo Dell'Amico, Davide Balzarotti, Pierre-Antoine Vervier 等S&P 2022 · 被引用 35 次
相关 Paper
- Privacy Risks with Facebook's PII-Based Targeting: Auditing a Data Broker's Advertising InterfaceGiridhari Venkatadri, Athanasios Andreou, Yabing Liu, Alan Mislove 等S&P 2018 · 被引用 110 次
- The Cracked Cookie Jar: HTTP Cookie Hijacking and the Exposure of Private InformationSuphannee Sivakorn, Iasonas Polakis, Angelos D. KeromytisS&P 2016 · 被引用 86 次
- Targeted Deanonymization via the Cache Side Channel: Attacks and DefensesMojtaba Zaheri, Yossi Oren, Reza CurtmolaUSENIX Security 2022
- One Email, Many Faces: A Deep Dive into Identity Confusion in Email AliasesMengying Wu, Geng Hong, Jiatao Chen, Baojun Liu 等NDSS 2026
- Browsing Unicity: On the Limits of Anonymizing Web Tracking DataClemens Deußer, Steffen Passmann, Thorsten StrufeS&P 2020 · 被引用 28 次
