dfworks
Joined 4 years ago
Karma
65
Submissions
23
Member since
Apr 13
Recent submissions
Comment · 11 months ago
Comment · 11 months ago
There are around 50 results for Crystal Palace, Ill have a look through the logs to see what might have gone wrong
Sadly no R Soles though (A shoe shop formerly in Chelsea but now online) - however, just searching for profanities does bring back some graffiti
Comment · 11 months ago
Hi Author here,
This doesnt really answer your question but hopefully gives some insight into our process.
The main bottlenecks were breaking the fisheye-style panoramas into different perspectives (so text was more readable), passing it to OCR and acquiring the panoramas as there isn't an official API.
Because of the above, we constrained ourselves from the outset. For example, the spacings between panoramas was 50m, we didnt traverse residential roads that were less likely to have signage, we only used the most recent panorama for a location etc
If I interpret global as without those constraints (5m spacings, every road, all historic panoramas) then I think the first problem you'll run into is being rate limited by Google. Compute may be able to solve the other problems but it would be very expensive.
Comment · 1 year ago
It’s perhaps a bit better now, but back when trip-sharing features were first added to third-party mapping and delivery platforms, there was a real tendency to overshare. Many early implementations generated public URLs with sequential or low-entropy IDs that could be guessed or brute-forced. Anyone who knew the pattern could enumerate live or historical “shared trips,” exposing routes, addresses, and other metadata that were never meant to be public.
I documented a few examples of this a while ago, which demonstrate how easily these systems could leak journey data.
https://dfworks.xyz/blog/online_stalking_citymapper/ https://dfworks.xyz/blog/pizza_order/
Comment · 1 year ago
I made this - https://london publicinsights.uk as well as operate a public records aggregator that has indexed, amongst other things, planning applications. I wonder if it could be of use?
Comment · 1 year ago
I have a London one also if anyone is interested!
Comment · 1 year ago
After recently reading several concerning articles about MAID data, I decided to simulate some device activity (because buying it is too expensive!).
I then modelled how these fictional devices might vote to demonstrate how harmful/useful aggregated and analysed MAID data can be.
Comment · 2 years ago
If anybody found this interesting and would like some further reading, the paper below employed a similar strategy to analyse inauthentic content/disinformation on Twitter.
https://files.casmconsulting.co.uk/message-based-community-d...
If you would like to read about my largely unsuccessful recreation of the paper, you can do so here - https://dfworks.xyz/blog/partygate/
Comment · 2 years ago
There was a very recent "bug" in Search where the site: operator stopped working for a little bit and everybody in the OSINT community had a bit of a meltdown - https://www.digitaldigging.org/p/search-alert-google-filetyp...
The date operators from: to: I think have been unsupported for a while and replaced with a dropdown in the UI
filetype: is a fave and has been working for as long as I can remember
AROUND(number) is pretty useful too although I find that might be a bit buggy sometimes
There is a good list here https://www.exploit-db.com/google-hacking-database showing how dorks can be used for pentesting and/or generally finding insecure stuff
Comment · 2 years ago
Yep, British for my sins, as a US soldier once described to me, we are your least worst enemy
It feels like there could potentially be some town planning applications like finding the distribution of rubbish bins vs litter on the floor