Misconfigured License Plate Readers Are Exposing Data and Video in Real Time

In a disconcerting breach of privacy and security, an automated license-plate-recognition (ALPR) system in Nashville, Tennessee, captured data from nearly 1,000 vehicles within just 20 minutes this morning. This includes detailed records of various vehicles such as eight black Jeep Wranglers, six Honda Accords, an ambulance, and a distinct yellow Ford Fiesta bearing a vanity plate. The data, collected by an ALPR system created by Motorola, is primarily intended for law enforcement use.

However, the integrity of this system has come under scrutiny following a discovery by security researcher Matt Brown. He revealed that numerous Motorola ALPR cameras have leaked not only real-time live video feeds but also detailed historical records of captured vehicles, illustrating the extensive scope of surveillance facilitated by such technologies. His findings suggest that over 150 cameras may have compromised user data, exposing video feeds that are accessible without any required login credentials.

Brown’s investigations began after he procured an ALPR camera from eBay and reverse-engineered it. His findings, shared through a series of YouTube videos, detail how these misconfigured cameras expose streams showing vehicles, including their makes, models, and colors. Alongside other technologists, he confirmed the inadvertent exposure of live footage and vehicle data, prompting Motorola to acknowledge the breaches and indicate that it is collaborating with its clientele to rectify the accessibility issues.

The proliferation of ALPR cameras in urban areas across the United States over the past decade has raised significant concerns regarding surveillance practices. Manufactured by companies including Motorola and Flock Safety, these cameras automatically photograph vehicles as they pass by and are widely utilized by law enforcement to track down suspects. They can be strategically mounted along roads, installed in police vehicles, or deployed on mobile units, capturing billions of images, which occasionally include personal identifiers found on bumper stickers or signage.

Brown, who leads a cybersecurity firm, noted that each exposed video feed captures a specific traffic lane, documenting every vehicle within its view. Some streams even show environmental conditions, such as falling snow. The researcher found multiple streams for each compromised camera—both color and infrared—that inadvertently broadcast sensitive data.

The inherent vulnerabilities highlighted by this incident underline significant cybersecurity risks associated with surveillance technologies. The MITRE ATT&CK framework identifies potential tactics such as initial access, where an attacker could exploit configuration flaws, and data exfiltration, where sensitive information is improperly accessed and exposed. These tactics underscore the importance of robust cybersecurity measures for organizations deploying such surveillance systems.

This incident serves as a stark reminder for businesses to remain vigilant in securing their data and surveillance technologies. The magnitude of data captured by ALPR systems necessitates enhanced security protocols to prevent unauthorized access and to protect sensitive information from being exposed to public or malicious actors. As technology evolves, maintaining robust cybersecurity practices will be essential to safeguarding both business interests and individual privacy.

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