Re: A New Hidden Way of Web Browser Profiling, Identification and Tracking

Roderick Aldridge <[email protected]>
Newsgroups gmane.org.user-groups.linux.waikato
Message-ID <CAOGb7-JygwWLoF_B6HF+iJ3wN83gRqP70oQT1UsqXMZvibJWug@mail.gmail.com>
Scary stuff. It proves the point that there are infinitely more ways for
code to have a vulnerability than can be secured - and a system is only as
secure as the weakest link.
Rod

On Mon, 17 Jun 2019 at 12:28, Peter Reutemann <[email protected]>
wrote:

> 'Researchers from Austria's Graz University of Technology "have
> devised an automated system for browser profiling using two new side
> channel attacks that can help expose information about software and
> hardware," reports The Register.
>
> The researchers recently presented a paper titled "JavaScript Template
> Attacks: Automatically Inferring Host Information for Targeted
> Exploits," which The Register says "calls into question the
> effectiveness of anonymized browsing and browser privacy extensions...
> "
>
> Long-time Slashdot reader Artem S. Tashkinov shared their report:
>
> One of the side-channel attacks developed for JavaScript Template
> Attacks involve measuring runtime differences between two code
> snippets to infer the underlying instruction set architecture through
> variations in JIT compiler behavior. The other involves measuring
> timing differences in the memory allocator to infer the allocated size
> of a memory region.
>
> The boffins' exploration of the JavaScript environment reveals not
> only the ability to fingerprint via browser version, installed privacy
> extension, privacy mode, operating system, device microarchitecture,
> and virtual machine, but also the properties of JavaScript objects.
> And their research shows there are far more of these than are covered
> in official documentation. This means browser fingerprints have the
> potential to be far more detailed -- have more data points -- than
> they are now.
>
> The Mozilla Developer Network documentation for Firefox, for example,
> covers 2,247 browser properties. The researchers were able to capture
> 15,709. Though not all of these are usable for fingerprinting and some
> represent duplicates, they say they found about 10,000 usable
> properties for all browsers.'
>
> -- source: https://yro.slashdot.org/story/19/06/16/232241
>
> Cheers, Peter
> --
> Peter Reutemann
> Dept. of Computer Science
> University of Waikato, NZ
> +64 (7) 858-5174
> http://www.cms.waikato.ac.nz/~fracpete/
> http://www.data-mining.co.nz/
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