TY - GEN
T1 - Partnërka in Crime
T2 - 26th International Conference on Passive and Active Network Measurement, PAM 2025
AU - Le Pochat, Victor
AU - Ballard, Cameron
AU - Desmet, Lieven
AU - Joosen, Wouter
AU - McCoy, Damon
AU - Lauinger, Tobias
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=105006420630&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=105006420630&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-85960-1_17
DO - 10.1007/978-3-031-85960-1_17
M3 - Conference contribution
AN - SCOPUS:105006420630
SN - 9783031859595
T3 - Lecture Notes in Computer Science
SP - 405
EP - 436
BT - Passive and Active Measurement - 26th International Conference, PAM 2025,Virtual event ,Proceedings
A2 - Testart, Cecilia
A2 - van Rijswijk-Deij, Roland
A2 - Stiller, Burkhard
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 10 March 2025 through 12 March 2025
ER -