Partnërka in Crime: Characterizing Deceptive Affiliate Marketing Offers

Victor Le Pochat, Cameron Ballard, Lieven Desmet, Wouter Joosen, Damon McCoy, Tobias Lauinger

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The deceptive affiliate marketing ecosystem enables a variety of online scams causing consumers to lose money or personal data. In this model, affiliates promote deceptive products and services on behalf of merchants in exchange for a commission, mediated by affiliate networks. We monitor the ecosystem holistically by taking the vantage point of affiliates and collecting ground truth from 23 aggregators that list deceptive products and services available for promotion across scam types and affiliate networks. Using our novel longitudinal data set, we characterize the ecosystem by taxonomizing the 9 main categories of deceptive products and services composing the ecosystem, and describing the main tactics used to mislead consumers. We quantify the extent of the nearly 450,000 offers in the ecosystem and the differences in the value that is attached to different types of scams, monetization models, and countries. Finally, we identify core affiliate networks and analyze longitudinal trends to track the dynamics of the ecosystem over time. The more complete coverage provided by our novel data set enables not only a broader understanding of the ecosystem, but also adds insights and metadata for developing earlier, data-driven interventions to protect consumers.

    Original languageEnglish (US)
    Title of host publicationPassive and Active Measurement - 26th International Conference, PAM 2025,Virtual event ,Proceedings
    EditorsCecilia Testart, Roland van Rijswijk-Deij, Burkhard Stiller
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages405-436
    Number of pages32
    ISBN (Print)9783031859595
    DOIs
    StatePublished - 2025
    Event26th International Conference on Passive and Active Network Measurement, PAM 2025 - Virtual, Online
    Duration: Mar 10 2025Mar 12 2025

    Publication series

    NameLecture Notes in Computer Science
    Volume15567 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference26th International Conference on Passive and Active Network Measurement, PAM 2025
    CityVirtual, Online
    Period3/10/253/12/25

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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