Wednesday, October 14, 2026

The fight goes on…

https://www.eff.org/deeplinks/2026/10/federal-court-rules-alprs-are-mass-surveillance-eff-gets-disappointing-ruling

As Federal Court Rules ALPRs are Mass Surveillance, EFF Gets Disappointing Ruling

In an extremely disappointing ruling, a California trial court dismissed SIREN v. San Jose, our case challenging the city of San Jose’s warrantless searches of its vast stores of automated license plate reader (ALPR) data. EFF and the ACLU of Northern California represent SIREN and CAIR California, two non-profits that serve San Jose residents, in this case.

Make no mistake: We believe this ruling is wrong on the law, and we will appeal. The ruling ignores the importance of landmark rulings from the U.S. Supreme Court regarding the invasiveness of aggregating collected data on an individual over time, including one issued just months ago. It also severely underestimates the harm that ALPRs cause, in San Jose and around the country. 

San Jose’s ALPR surveillance system is inescapable. It blankets the city’s streets in nearly five hundred cameras that continuously photograph every car that passes by and retains the collected data for a month or longer. In our briefs, we argued that law enforcement officers who warrantlessly search the resulting ALPR database are violating the California Constitution’s ban on unreasonable searches and its guarantee of privacy. The court disagreed, explaining that based on one California appeals court case involving individual streetlight cameras, people do not have a reasonable expectation of privacy when driving on a public road. This is wrong. Networked ALPRs are not individual streetlight cameras. Their net effect of tracking and mapping cars as they travel reveals patterns of life, intimate relationships, and much more.



(Related)

https://www.bespacific.com/video-cameras-are-everywhere-and-now-they-are-being-hacked-for-war/

Video Cameras Are Everywhere and Now They Are Being Hacked for War

Wall Street Journal – no paywall: “As U.S. and Israeli forces bombed Iran early this year, a poultry farmer in northern Israel decided to check on his chickens. When he launched the app on his phone for the webcam outside his coop, he was alarmed to see that its language had been switched to Arabic. He contacted Israel’s National Cyber Directorate, which found that hackers had taken control of the Chinese-made camera. They weren’t interested in chickens. The camera’s orientation on the coop offered it a line of sight to the movements of Israeli security forces along the nearby border with Lebanon. The cyber directorate said it helped the farmer harden the camera’s security and adjust its viewing angle to stop capturing military operations. The farmer’s webcam was one of an estimated 1.2 billion internet-connected cameras worldwide, according to cybersecurity consultants S-RM. The devices have become a background fixture of daily life in the form of security systems, doorbells, traffic controls and even baby monitors—and potentially any of them are vulnerable to snooping, say cybersecurity experts and hackers. “We are now seeing the conversion of civilian surveillance into wartime intelligence collection,” said Alexander Leslie, a national-security expert at threat-intelligence consultants Recorded Future, who sees a global “soft underbelly” in omnipresent digital eyeballs. The Wall Street Journal spoke with intelligence agencies, cybersecurity experts, military officials and hackers to scope out the extent and impact of the invasive surveillance. The Journal also reviewed dozens of hours of footage and hundreds of images, much of it made public by hackers, and independently verified their authenticity, by geolocating their locations and checking for any signs of digital manipulations. Intelligence agencies scour the internet for vulnerable cameras and robotically tap in to them by testing millions of passwords. Now, AI has made it even easier to hack into them and analyze their data at scale, transforming cameras that were designed to boost safety into tools for combatants to track, surveil and attack the enemy—often surpassing the abilities of human intelligence analysts. Algorithms digest endless reams of footage to find hidden gems and patterns for agents to monitor. “AI changed everything,” said Kristopher Kortright, leader of Team OneFist, an international hacker group supporting Ukraine in its war with Russia…”



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