旧金山警方无人机监控视频泄露,揭示城市监控现状
Leak of San Francisco Police Drone Footage Exposes Reality of Urban Surveillance

原始链接: https://www.wired.com/story/sfpd-drone-video-leak-surveillance/

安全研究员 Sam Curry 和 Maik Robert 近日发现,旧金山警察局(SFPD)的无人机项目存在严重的隐私泄露问题。由于 Skydio 网站存在漏洞,旧金山警察局意外地将敏感的实时监控画面(包括彩色和红外视频、元数据以及飞行员身份信息)公开在了互联网上。 此次泄露的档案涵盖了 48 小时的行动记录,包含 20 次飞行任务及超过三小时的视频。画面中记录了警方追踪车辆、监视私人公寓以及执行逮捕行动的过程,其中包括对一起涉嫌汽车盗窃案嫌疑人的高风险追捕。视频清晰展示了数百名路人的面孔,并包含了详尽的 GPS 遥测日志。 尽管在研究人员通知 Skydio 后,这些数据流已被下线,但该事件引发了对警方透明度及现代空中监控侵入性的严重关切。此次泄露的数据罕见且真实地揭示了警方在城市环境中监控的频率与广度,许多被空中监控的普通民众对此全然不知。

《连线》杂志近期关于旧金山警察局(SFPD)无人机监控录像泄露的报道,在 Hacker News 上引发了关于城市常态化监控的讨论。 评论者将目前的无人机应用与过去的空中监控计划(例如 2016 年巴尔的摩空中追踪项目,该项目允许警方“回放”事件以侦破案件)进行了对比。虽然一些用户认为无人机是打击汽车盗窃等问题的必要工具,但另一些人对公民自由的流失表示了深切担忧。 讨论范围不仅限于美国。欧洲用户指出,尽管有《通用数据保护条例》(GDPR)和《欧盟人工智能法案》等保障措施,但技术监控仍然是一个日益严重的全球性威胁。许多参与者对政府监管表示怀疑,认为个人隐私正越来越多地为了短暂的安全而被牺牲,这标志着监控问题将成为未来人权博弈的关键战场。
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原文

Just after noon on a Saturday last month, a Skydio X10 quadcopter hovered about 200 feet over a San Francisco apartment complex, watching police chase a man hiding behind a parked car. The target of this manhunt lay down on the pavement, apparently unaware that he remained in full view of the flying eye overhead. The 5-pound drone had, in fact, already followed him across the city, zooming in on his black SUV’s license plate, keeping the vehicle locked at the center of its video frame until he pulled over. Now it watched the police as they closed in and surrounded him.

As the officers approached, the man adjusted his hiding spot, moving to the other side of the parked car. At that moment, however, another Skydio drone zoomed in on his location, one of four Skydio quadcopters that had followed the man in just the prior hour. This one had been called away from a nearby McDonald’s, where it had been watching two people who’d exited the suspect’s car a few minutes earlier—and now began watching him from a second angle.

Within seconds, three officers converged on the man, two pointing weapons at him, then tackled him as half a dozen more police arrived on the scene. Police records provided to WIRED by the San Francisco Police Department show the entire street-and-sky response followed from what the SFPD described as an alleged “auto boost/strip” incident—the suspected theft of car parts or another object from a vehicle.

Drone footage exposed at a public web address shows how a quadcopter zoomed in on an SUV’s license plate, tracked it through traffic, then followed the driver as he exited the car and ran into an apartment complex. The suspect hid behind a vehicle, then adjusted his hiding place, yet was still visible to a second drone that arrived on the scene—one of four that tracked his location in a single hour and then captured police tackling him—all in response to what the SFPD describes as an alleged “auto boost/strip” incident, the theft of car parts or another object from a vehicle.

Materials reviewed by WIRED

This glimpse of modern drone-enabled police surveillance, including the highly sensitive video of the man’s physical takedown, wasn’t voluntarily released by the SFPD—which, like most US police departments, rarely releases drone videos even in response to public records requests. Instead, it was accidentally livestreamed onto the open internet via Skydio’s website. That’s where two security researchers, Sam Curry and Maik Robert, discovered that the SFPD was leaking all of the real-time footage from five of its surveillance drones, including both color and thermal imaging, accompanying location metadata, and the drone pilots’ names and email addresses, to anyone who merely found the public web address where the videos were hosted.

Curry and Robert say they reported their discovery to Skydio around two days after discovering it, and it was quickly taken offline. By then, though, the researchers had watched police carry out what appeared to be multiple arrests and searches as well as tracking cars and individuals from the sky, all visible at a fully public web address.

“There’s a certain trust given to the police to use these things correctly,” says Curry. “When you're watching a drone feed live, you can look into dozens of different apartments, you can see police zooming in on people, you can see arrests. The fact that all of this was exposed feels like a really big issue from a privacy perspective.”

The leaked feed of video captures two forced detentions—whether any actual arrests were made is unclear from the footage—a police visit to an apartment in a high-rise apartment building, and an apparent search of an alley populated with homeless people, as well as numerous other more ambiguous instances where police used drones to surveil individuals, vehicles, or buildings. While the feed remained live, Curry and Robert began archiving the public stream of data and videos and later shared the results with WIRED.

Leaked drone video captures another detention.

Materials reviewed by WIRED

The archive Curry and Robert captured offers a detailed record of SFPD drone operations over about 48 hours in mid-June. It includes 60 videos from 20 separate flights, with each mission recorded from three feeds: a color camera, a thermal camera that renders people as heat signatures, and a third view from the drone’s rooftop dock. WIRED analyzed all 20 color videos with software that detects people, vehicles, and other objects in images. The review found that the cameras had filmed hundreds of people and vehicles across the 20 flights. In a single frame, as a drone hovered over a downtown intersection, the software counted 34 people crossing the street or standing on the sidewalks. Across all of the videos the footage showed clear faces of dozens of people.

Together, the videos amount to more than three hours of aerial color footage and roughly the same amount of thermal footage. The archive also includes second-by-second telemetry logs for every flight—more than 5,000 GPS points in all tracing over some 44 miles—recording each drone’s latitude and longitude, altitude, speed, heading, and battery level from takeoff to landing. Six SFPD pilots’ names and email addresses also appear across the logs.

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