Abstract
The introduction of Cookies Having Independent Partitioned State (CHIPS) marks a significant step toward balancing user privacy with essential web functionalities. CHIPS isolates data within specific contexts, preventing cross-site tracking while maintaining the functionality of websites. However, the adoption of CHIPS in real-world web usage remains largely unexplored. In this paper, we investigate the state of CHIPS deployment, providing an overview of how CHIPS has been integrated into web ecosystems since its introduction. Leveraging the HTTP Archive dataset, we first find that the adoption of partitioned cookies remains slow, with most domains still relying on non-partitioned cookies, though a slight increase in both types is observed starting in early 2024, coinciding with Google’s phase-out of third-party cookies for 1% of users. This sudden onset of the third-party cookie phase-out has resulted in a haphazard way of adoption for some domains, which caused them to overlook important configuration requirements, resulting in improper settings due to limited awareness of the specific guidelines such as SameSite=None and Secure. In addition, we observe a positive signal for privacy as third-party trackers begin adopting partitioned cookies, with a noticeable increase starting in early 2024. However, as of September 2024, only a small number of trackers have fully transitioned to using partitioned cookies (up to 0.5% of tracking domains), while some continue to rely on both partitioned and non-partitioned cookies (up to 3.1% of tracking domains), highlighting that the shift is still in its early stages, especially for tracking domains. Finally, we observe stark asymmetry among the early adopter tracking domains: some have already added some partitioned cookies to all sites with a presence, while others, notably Google’s doubleclick.com has only deployed partitioned cookies to around 5% of pages where it is present.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
The http archive tracks how the web is built (2016). https://httparchive.org/. Accessed 10 Sept 2024
AdGuard: Adguard tracking protection filter (2005). https://filters.adtidy.org/extension/chromium/filters/3.txt. Accessed 10 Sept 2024
Balebako, R., Leon, P., Shay, R., Ur, B., Wang, Y., Cranor, L.: Measuring the effectiveness of privacy tools for limiting behavioral advertising. In: Proceedings of W2SP - SP (2012)
Beales, H.: The value of behavioral targeting. Netw. Advertising Initiative 1(2010) (2010)
Bujlow, T., Carela-Español, V., Solé-Pareta, J., Barlet-Ros, P.: A survey on web tracking: mechanisms, implications, and defenses. Proc. IEEE 105(8), 1476–1510 (2017)
Carrascosa, J.M., Mikians, J., Cuevas, R., Erramilli, V., Laoutaris, N.: I always feel like somebody’s watching me: measuring online behavioural advertising. In: Proceedings of ACM CoNEXT, pp. 1–13 (2015)
Cutler, D., Selya, A.: Chips (cookies having independent partitioned state) (2024). https://github.com/privacycg/CHIPS?tab=readme-ov-file. Accessed 06 Oct 2024
Dao, H.: Detection, characterization, and countermeasure of first-party cooperation-based third-party web tracking. Ph.D. thesis, The Graduate University for Advanced Studies (2022)
EasyList: Easylist (2005). https://easylist.to/easylist/easylist.txt. Accessed 10 Sept 2024
EasyPrivacy: Easyprivacy (2005). https://easylist.to/easylist/easyprivacy.txt. Accessed 10 Sept 2024
Englehardt, S., Han, J., Narayanan, A.: I never signed up for this! privacy implications of email tracking. Proc. PETs 2018(1), 109–126 (2018)
Gotze, M., Matic, S., Iordanou, C., Smaragdakis, G., Laoutaris, N.: Measuring web cookies in governmental websites. In: Proceedings of the ACM Web Science Conference, pp. 44–54 (2022)
Justdomains: DOMAIN-ONLY Filter Lists (2022). https://github.com/justdomains/blocklists. Accessed 10 Sept 2024
Lowe, P.: Blocklist for use with hosts files to block ads, trackers, and other nasty things (2001). https://pgl.yoyo.org/adservers/serverlist.php?hostformat=hosts&showintro=1 &mimetype=plaintext. Accessed 10 Sept 2024
Mozilla: Public suffix list (2005). https://publicsuffix.org/. Accessed 10 Sept 2024
Network, M.D.: Cookies having independent partitioned state (chips) (2024). https://developer.mozilla.org/en-US/docs/Web/Privacy/State_Partitioning. Accessed 18 Sept 2024
Network, M.D.: Set-cookie (2024). https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Set-Cookie#samesitesamesite-value. Accessed 18 Sept 2024
Rasaii, A., Singh, S., Gosain, D., Gasser, O.: Exploring the cookieverse: a multi-perspective analysis of web cookies. In: Proceedings on the PAM, pp. 623–651. Springer, Cham (2023)
Solomos, K., Ilia, P., Ioannidis, S., Kourtellis, N.: Talon: an automated framework for cross-device tracking detection. In: Proceedings of RAID, pp. 227–241 (2019)
Starov, O., Nikiforakis, N.: Privacymeter: designing and developing a privacy-preserving browser extension. In: Proceedings on ESSoS, pp. 77–95. Springer, Cham (2018)
Wang, H., Lee, M.K., Wang, C.: Consumer privacy concerns about Internet marketing. Commun. ACM 41(3), 63–70 (1998)
Zöllner, M., Feldmann, A., Dao, H.: Analysis scripts for Cookies Having Independent Partitioned State (CHIPS) measurement (2024). https://doi.org/10.17617/3.C9WI7C
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Ethical Consideration
Our work does not involve active measurements and relies entirely on data provided by third parties, specifically the HTTP Archive dataset. We do not process the data in a way that focuses on personally identifiable information (PII), and we only extract and aggregate data related to the technical functioning of the Internet. Therefore, we conclude that no specific ethical considerations apply to our measurements.
Appendix
Appendix
Table 1 details third-party tracking domains that consistently deploy partitioned cookies, categorized by their first observed appearance. The domains are organized by month, to showcase the development of CHIPS-using domains over time. Domains highlighted in red represent those that exclusively rely on partitioned cookies, underscoring a specific subset of trackers that have committed to this cookie technology alone. Early adopters, such as ladsp.com in December 2022, doubleclick.net in May 2023, and taboola.com in September 2023, demonstrate the initial, slow uptake of partitioned cookies. Notably, doubleclick.net, which belongs to Google, is still in the early phase of partitioned cookie adoption, as its cookies use both partitioned and non-partitioned types. From early 2024, some domains—highlighted in red, such as digitalthrottle.com and mmondi.com in March, and gayadnetwork.com in April were observed setting only partitioned cookies. However, as of September, no other trackers continue this trend.
Rights and permissions
Copyright information
© 2025 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Zöllner, M., Feldmann, A., Dao, H. (2025). A First Look at Cookies Having Independent Partitioned State. In: Testart, C., van Rijswijk-Deij, R., Stiller, B. (eds) Passive and Active Measurement. PAM 2025. Lecture Notes in Computer Science, vol 15567. Springer, Cham. https://doi.org/10.1007/978-3-031-85960-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-031-85960-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-85959-5
Online ISBN: 978-3-031-85960-1
eBook Packages: Computer ScienceComputer Science (R0)