Cameras can steal data from computer hard drive LED lights: study

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Credit: George Hodan/Public Domain

Researchers at the Ben-Gurion University of the Negev (BGU) Cyber Security Research Center have demonstrated that data can be stolen from an isolated "air-gapped" computer's hard drive reading the pulses of light on the LED drive using various types of cameras and light sensors.

In the new paper, the researchers demonstrated how data can be received by a Quadcopter drone flight, even outside a window with line-of-sight of the transmitting computer. Click here to watch a video of the demonstration.

Air-gapped computers are isolated—separated both logically and physically from public networks—ostensibly so that they cannot be hacked over the Internet or within company networks. These computers typically contain an organization's most sensitive and confidential information.

Led by Dr. Mordechai Guri, head of R&D at the Cyber Security Research Center, the research team utilized the hard-drive (HDD) activity LED lights that are found on most desktop PCs and laptops. The researchers found that once malware is on a computer, it can indirectly control the HDD LED, turning it on and off rapidly (thousands of flickers per second)—a rate that exceeds the capabilities. As a result, highly sensitive information can be encoded and leaked over the fast LED signals, which are received and recorded by remote cameras or .

"Our method compared to other LED exfiltration is unique, because it is also covert," Dr. Guri says. "The hard drive LED flickers frequently, and therefore the user won't be suspicious about changes in its activity."

Dr. Guri and the Cyber Security Research Center have conducted a number of studies to demonstrate how malware can infiltrate air-gapped computers and transmit data. Previously, they determined that computer speakers and fans, FM waves and heat are all methods that can be used to obtain data.

Citation: Cameras can steal data from computer hard drive LED lights: study (2017, February 22) retrieved 29 March 2024 from https://phys.org/news/2017-02-cameras-hard.html
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