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AI Surveillance: Unmasking Flock Safety’s Insecurities

ID: 197d85b0-4c49-5f07-86c7-418ee6f023ce

STIX ID: report--197d85b0-4c49-5f07-86c7-418ee6f023ce

Feed Name: Security Ledger

Threat Score
70/100

Date Published: 2025-12-29

Date Updated: 2026-04-26

Author: Paul Roberts

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### Executive summary: The podcast episode and accompanying write-up describe independent security research into Flock Safety's AI-powered surveillance devices, revealing dozens of software and configuration flaws—including RCE-ready issues, end-of-life Android OS builds, exposed wireless management interfaces with weak/shared credentials, enabled debugging, and privilege escalation paths to root. The report highlights that these insecure, widely deployed cameras (used in thousands of U.S. communities) expand attack surface and privacy risk, enabling potential misuse by criminals, stalkers, law enforcement overreach, or nation-state actors, while noting the practical challenges of patching and governance at scale.

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