On Jun 3, 2017, at 3:31 PM, M373 <[1]M373@riseup.net> wrote:

   Some U-Washington researchers are working on a potentially very
   interesting project of using sensors and statistical analysis to
   identify where cell site simulators are being used, which could scale
   to
   city or larger size, providing a snapshot as well as ongoing dataset to
   ascertain patterns. One would need spatial and temporal density to
   maximize probability of capture given the ephemeral nature of deployed
   cell simulators.
   [2]https://seaglass.cs.washington.edu/
   [3]https://seaglass-web.s3.amazonaws.com/SeaGlass___PETS_2017.pdf
   [4]https://github.com/seaglass-project/seaglass

   All this talk really makes me want to get back to playing with OpenBTS,
   you can make your own stingray-lite for probably a few hundred
   bucks....  but then, unless you have a specific and probably very
   criminal need for it, I'm not sure it would ever be more than a toy.

   On a per-phone level there are or were some interesting apps to detect
   cell site simulators, e.g.

   [5]https://github.com/CellularPrivacy/Android-IMSI-Catcher-Detector

   The seaglass stuff does look really interesting. There's an article
   that just popped up about it a couple days ago -

   [6]https://techcrunch.com/2017/06/02/who-catches-the-imsi-catchers-rese
   archers-demonstrate-stingray-detection-kit/

References

   1. mailto:M373@riseup.net
   2. https://seaglass.cs.washington.edu/
   3. https://seaglass-web.s3.amazonaws.com/SeaGlass___PETS_2017.pdf
   4. https://github.com/seaglass-project/seaglass
   5. https://github.com/CellularPrivacy/Android-IMSI-Catcher-Detector
   6. https://techcrunch.com/2017/06/02/who-catches-the-imsi-catchers-researchers-demonstrate-stingray-detection-kit/