# Flock Camera Software Reverse-Engineered by Hackers Analysis reveals extensive vehicle and pedestrian tracking capabilities in ALPR systems. - **Source:** [Schneier on Security](https://brifing.si/source/7aee9996-c7c0-47f7-89ec-66a1ed95f8cc) - **Published:** 2026-09-21 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/5b103aeb-acd3-4a7c-b667-cfa8b045ea2b ## Flock camera capabilities exposed Hackers recovered data showing Flock's ALPR system detects not just license plates but also people, bicycles, and vehicle details. The system generates multiple images per vehicle, accumulating over a million images in weeks. Computer vision algorithms also extracted bumper stickers and graphics like an American flag patch. This reveals broader surveillance capabilities than publicly disclosed. ## Critical security flaw discovered The breach occurred because an unencrypted partition contained the key to an encrypted one - a fundamental security engineering failure. This allowed access despite disk encryption measures. The vulnerability highlights poor implementation of basic cryptographic principles in surveillance hardware, making systems vulnerable to physical access attacks. ## Data generation scale revealed Recovered logs show the camera produces dozens of images per passing vehicle. Over several weeks, this resulted in more than a million stored images. The volume demonstrates how ALPR systems create massive surveillance datasets, often without clear retention policies or public awareness of data collection scope. ## Computer vision capabilities Beyond license plates, the system's AI identifies people, bicycles, and even extracts graphics like bumper stickers. This shows how ALPR technology has expanded into general object recognition. The ability to isolate specific graphics suggests sophisticated pattern matching that could enable new forms of tracking. ## Surveillance implications The findings reveal how ALPR systems quietly expanded capabilities beyond their stated purpose. Vehicle tracking now includes occupant profiling through detected objects and graphics. This creates privacy concerns as systems collect more personal data than advertised, with unclear usage policies. ## Industry security standards The encryption flaw represents systemic issues in surveillance device security. Physical security measures failed to prevent tampering, while software design included critical vulnerabilities. This raises questions about oversight and testing of police surveillance technologies before deployment. ## Reverse engineering methodology Hackers analyzed both encrypted and unencrypted partitions, comparing data structures to understand system operation. The unencrypted key discovery enabled full access to stored images and logs. This approach demonstrates how determined attackers can bypass security through comprehensive hardware analysis. ## Policy and transparency needs The incident highlights the need for stricter security requirements and capability disclosures for surveillance tech. As ALPR systems gain advanced features, transparency about data collection and retention becomes crucial. Independent security audits should precede deployment of such sensitive technologies. ## Sources covering this story - https://www.schneier.com/blog/archives/2026/09/reverse-engineering-flock-cameras.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._