cross-posted from: https://lemmy.world/post/10921294

Quote from the article:

People are aware of selfie cameras on laptops and tablets and sometimes use physical blockers to cover them,” says Liu. “But for the ambient light sensor, people don’t even know that an app is using that data at all. And this sensor is always on. Liu notes that there are still no blanket restrictions for Android apps.

Remark added by me:

Here, it might interest readers to know that unlike Stock Android, GrapheneOS (GrapheneOS is an Android-based, open source, privacy and security-focused mobile operating system for selected Google Pixel smartphones) provides a sensors permission toggle for each app. According to their website:

Sensors permission toggle: disallow access to all other sensors not covered by existing Android permissions (Camera, Microphone, Body Sensors, Activity Recognition) including an accelerometer, gyroscope, compass, barometer, thermometer and any other sensors present on a given device. When access is disabled, apps receive zeroed data when they check for sensor values and don’t receive events. GrapheneOS creates an easy to disable notification when apps try to access sensors blocked by the permission being denied. This makes the feature more usable since users can tell if the app is trying to access this functionality.

To avoid breaking compatibility with Android apps, the added permission is enabled by default. When an app attempts to access sensors and receives zeroed data due to being denied, GrapheneOS creates a notification which can be easily disabled. The Sensors permission can be set to be disabled by default for user installed apps in Settings ➔ Privacy.

In conclusion, allow me to emphasize another quote from the article:

“The acquisition time in minutes is too cumbersome to launch simple and general privacy attacks on a mass scale,” says Lukasz Olejnik, an independent security researcher and consultant who has previously highlighted the security risks posed by ambient light sensors. “However, I would not rule out the significance of targeted collections for tailored operations against chosen targets.” Liu agrees that the approach is too complicated for widespread attacks. And one saving grace is that it is unlikely to ever work on a smartphone, as the displays are simply too small. But Liu says their results demonstrate how seemingly harmless combinations of components in mobile devices can lead to surprising security risks.

  • kirklennon@kbin.social
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    9 months ago

    That’s why it would need to be a small piece of a greater set of information. Imagine a person walking through an office and into a stairwell. If you know the person is there, and you know the stairwell is darker than the office, you could infer the appropriate location of the person in the building

    That has nothing to do with the technique described in the article. It’s also still quite a stretch. Holding up a piece of paper and casting a shadow on the ambient light sensor will also make it appear darker. Are they in the stairwell or is Bob from accounting stopping by to tell a “funny” anecdote and blocking the afternoon sun? If you’ve managed to compromise a device enough to access sensor data, you’re not bothering trying to make sketchy assumptions based on the light sensor.