Collected research

(Cross-)Browser Fingerprinting via OS and Hardware Level Features

Yinzhi Cao, Song Li and Erik Wijmans · NDSS Symposium

By making the browser perform tasks that lean on the graphics card, CPU and installed fonts, the technique derives a fingerprint from operating system and hardware traits rather than browser-specific ones. The same machine is therefore recognisable across different browsers, identifying 99.24 percent of users.

Record

Researcher

Yinzhi Cao, Song Li and Erik Wijmans

Published by

NDSS Symposium

Topic

Browser

In the archive

• Collected in the 2016–17 research round

Related sources

• NDSS 2017: (Cross-)Browser Fingerprinting via OS and Hardware Level Features

Tags

• info-leak
• javascript
• dom
• css
• measurement-study

This page is the archive's own catalogue record. The research is the work of Yinzhi Cao, Song Li and Erik Wijmans, first published at the original source. Preserved copies are kept so the citation survives its host; this one was last captured on 11 August 2026.