Skip to main content

Hackers ripped open a Flock camera and exposed how it captures & processes.

 

UNITED STATES OF AMERICA – 16.09.2026

Hackers ripped open Flock camera above a roadway made a near complete copy of the data and stored inside and shared the files with 404 Media and Wired. And the hackers say they're also publishing details on how they managed to obtain the software in hopes that other people may copy them.

The hackers were able to copy the camera storage and recover an encryption key stored on the device, which unlocked videos of thousands of vehicle detections. While much of the ALPR's most sensitive storage remained encrypted and inaccessible, the joint analysis of the recovered data shows that software running on the device explicitly detects people as well as vehicles license plates and bicycles.

404 and wired analysed the camera's content and found the device processor is similar to those used in mid-range smartphones. According to the code, when something moves into view the camera takes a rapid series of photos. A typical passing vehicle generated about 28 images, though some produced more than 100. The camera uses different exposures to capture both the license plate and the wider scene, then scans the images, selects and crops the useful frames, and then sends them with other data to Flock over the cellular network. The camera itself does not appear to read the plate or identify the vehicle's make, model, or colour. That appears to happen on Flock servers.

To test what the software could actually see, Wired extracted the models from the camera's files and ran them against test images and footage recovered from the device. The models readily detected people, including a selfie of a reporter. The test also showed how broadly the camera's plate detector could interpret what it saw. In some cases, it mistook bumper stickers, dealership frames, and other graphics for license plates and cropped them out as if they were plates. In one video of a passing motorcycle, the detection cropped a patch on the rider's saddlebag as if it were a plate.

The camera's logs also showed that the camera is struggling with storage. Its logs recorded more than 27,000 quote no space left on device errors while trying to save full resolution images along with tens of thousands of related errors, crashes, and reboots. At the same time, about every 2 minutes, code checked that the camera was still running and logged the message quote who's a good boy. More than 12,000 of those messages appear on the recovered logs. When the camera did restart, another service left a final message in the logs quote a reboot was requested.



Popular posts from this blog

Instagram Security Risk

Recently, attackers took over high-profile Instagram accounts, including the official Obama’s White House account and a United States Space Force chief officer. The attacker didn't break any Instagram code or crack passwords. They convinced Meta's own AI support chatbot to hand over the accounts. Meta uses an AI-powered support chatbot to help users recover locked accounts, change recovery emails, and handle account issues. The chatbot is trained to verify identity through questions and decide whether a request looks legitimate. Attackers figured out how to manipulate that decision making process. Video Credit-  x.com/chetaslua The attack consists of four main steps. Step 1: The attacker contacts Meta's AI support chatbot claiming to be the legitimate owner of a target account. They simply use Instagram's help interface and start an account recovery conversation. For high-profile targets, attackers use publicly available information such as display names, profile bios, ...

LinkedIn Rolls Out AI Slop Reporting button

                                         LinkedIn is trying to get a handle on the massive amounts of AI slop on the platform. To do that, the company is testing a new reporting tool that let users flag potential slop and removing the "rewrite with AI" button it once promoted on every post. With the new reporting tool, users will have the ability to flag posts as "seems like AI slop." Doing so will "privately flag" via the site's analytics dashboard that others "feel your post may have come off as inauthentic or heavy use of AI," LinkedIn's Chief Product Officer Hari Srinivasan wrote in an update. The move follows an earlier update that aimed to reduce the reach of AI-generated posts on the platform. The company has since done further work to improve its detection systems, Srinivasan said, which should lead to people seeing fewer AI-generated posts recommended in their feeds. Pos...

A Simple PDF Tool Outpaced Giants by doing the basics faster, cleaner, and better than anyone else.

  I am going to break down the story of a tool that I'm willing to bet you've used, but whose incredible business journey you probably know nothing about. Honestly, this is a master class for any founder looking to build something valuable from scratch. I am calling it the Bootstrapper’s Playbook. A Wild Reality Check Let’s just start with a wild fact. There's a website out there, a deceptively simple one, that in places like India pulls in more traffic than Amazon. I'm serious. Millions and millions of people rely on it every single day. Any guesses? It's iLovePDF. If you've ever needed to quickly merge, split, or compress a PDF file, you've almost definitely landed on this site. But what most people have no idea about is how this massive global platform was built. And that is where the real story begins. Born from Frustration So, let's go all the way back to the beginning. Because this whole thing wasn't born from some grand business plan or a fanc...