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/ > _______________________________________________ > wlug mailing list | [email protected] > Unsubscribe: https://list.waikato.ac.nz/mailman/listinfo/wlug > _______________________________________________ wlug mailing list | [email protected] Unsubscribe: https://list.waikato.ac.nz/mailman/listinfo/wlug