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Towards Understanding First-Party Cookie Tracking in the Field

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arxiv 2202.01498 v2 pith:DQLPNRSG submitted 2022-02-03 cs.CR

classification cs.CR
keywords trackingpartyusedcookiesfirst-partyfirstthirdthird-party
verification ladder T0 review T1 audit T2 compute T3 formal
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Third-party web tracking is a common, and broadly used technique on the Web. Almost every step of users' is tracked, analyzed, and later used in different use cases (e.g., online advertisement). Different defense mechanisms have emerged to counter these practices (e.g., the recent step of browser vendors to ban all third-party cookies). However, all of these countermeasures only target third-party trackers, and ignore the first party because the narrative is that such monitoring is mostly used to improve the utilized service (e.g., analytical services). In this paper, we present a large-scale measurement study that analyzes tracking performed by the first party but utilized by a third party to circumvent standard tracking preventing techniques (i.e., the first party performs the tracking in the name of the third party). We visit the top 15,000 websites to analyze first-party cookies used to track users and a technique called "DNS CNAME cloaking", which can be used by a third party to place first-party cookies. Using this data, we show that 76% sites in our dataset effectively utilize such tracking techniques, and in a long-running analysis, we show that the usage of such cookies increased by more than 50% over 2021. Furthermore, we shed light on the ecosystem utilizing first-party trackers, and find that the established trackers already use such tracking, presumably to avoid tracking blocking.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. SST-Guard: Detecting and Characterizing Server-Side Google Analytics in the Wild

    cs.CR 2026-04 unverdicted novelty 6.0 of 10

    SST-Guard detects server-side Google Analytics on roughly 4% of top websites by identifying semantic tracking artifacts across network, cookie, and browser modalities with over 93% accuracy.

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