Collected research

Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking Vectors

Mir Masood Ali, Binoy Chitale, Mohammad Ghasemisharif, Chris Kanich, Nick Nikiforakis and Jason Polakis · NDSS Symposium

CanITrack automatically exercises browser storage, cache, access-control and policy mechanisms by writing and reading state across different browsing contexts to see what persists. Testing 21 mechanisms uncovered tracking vectors including 13 usable for third-party tracking, two that survive private browsing and two in Google's Privacy Sandbox.

Record

Researcher

Mir Masood Ali, Binoy Chitale, Mohammad Ghasemisharif, Chris Kanich, Nick Nikiforakis and Jason Polakis

Published by

NDSS Symposium

Topic

Browser

In the archive

• Collected in the 2023 research round

Related sources

• NDSS 2023 - Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking...
• NDSS 2023 - Navigating Murky Waters: Automated Browser Feature Testing for Uncovering Tracking...

Tags

• info-leak
• cache
• dynamic-analysis
• measurement-study
• tooling

This page is the archive's own catalogue record. The research is the work of Mir Masood Ali, Binoy Chitale, Mohammad Ghasemisharif, Chris Kanich, Nick Nikiforakis and Jason Polakis, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on 19 August 2026.