Grounded Flight – Device 2: Root Shell on Flock Safety’s Falcon/Sparrow Automated License Plate Reader

All research was performed against a unit I owned and we did not and do not have any intention of disrupting any existing infrastructure. All disclosures are intended for research purposes only, on devices the researcher owns. Onto the next! In case you missed the previous two posts; where I went over what Flock Safety … Continue reading Grounded Flight – Device 2: Root Shell on Flock Safety’s Falcon/Sparrow Automated License Plate Reader →

Plucked and Rooted – Device 1: Debug Shell on Flock Safety’s Raven Gunshot Detection System

All research was performed against a unit I owned and we did not and do not have any intention of disrupting any existing infrastructure. All disclosures are intended for research purposes only, on devices the researcher owns. Well with an introduction to the organization, their services and devices and some other information out of the … Continue reading Plucked and Rooted – Device 1: Debug Shell on Flock Safety’s Raven Gunshot Detection System →

Bird Hunting Season – Security Research on Flock Safety’s Anti-Crime Systems

All research was performed against a unit I owned and we did not and do not have any intention of disrupting any existing infrastructure. All disclosures are intended for research purposes only, on devices the researcher owns. This is a introduction and overview post to give some background on the organization and their devices before … Continue reading Bird Hunting Season – Security Research on Flock Safety’s Anti-Crime Systems →

The quickest and simplest guide to spinning up a powerful local AI stack. Part 4 – Transcription via Whisper

So it turns out that OpenWeb-UI comes with a form of whisper integration out of the box. So I'm going to cover what changes you should make to make it better, and then I'll include a bonus of a n8n + docker-compose you can use to run a whisper-server + n8n test workflow for it. … Continue reading The quickest and simplest guide to spinning up a powerful local AI stack. Part 4 – Transcription via Whisper →