Cambridge Researchers Find Vulnerability In Chinese-manufactured Chip Used By US Army

Posted on May 28 2012 - 7:38am by Editorial Staff

TNW reports that a researcher’s team from Cambridge University had found evidence that a Chinese-manufactured chip used by US armed forces contains a secret access point, resulting in vulnerable to third party tampering.

Cambridge University researcher, Sergei Skorobogatov, explains:

We scanned the silicon chip in an affordable time and found a previously unknown backdoor inserted by the manufacturer. This backdoor has a key, which we were able to extract. If you use this key you can disable the chip or reprogram it at will, even if locked by the user with their own key.

This particular chip is prevalent in many systems from weapons, nuclear power plants to public transport. In other words, this backdoor access could be turned into an advanced Stuxnet weapon to attack potentially millions of systems. The scale and range of possible attacks has huge implications for National Security and public infrastructure.

Cambridge University research findings:

Claims were made by the intelligence agencies around the world, from MI5, NSA and IARPA, that silicon chips could be infected. We developed breakthrough silicon chip scanning technology to investigate these claims. We chose an American military chip that is highly secure with sophisticated encryption standard, manufactured in China. Our aim was to perform advanced code breaking and to see if there were any unexpected features on the chip. We scanned the silicon chip in an affordable time and found a previously unknown backdoor inserted by the manufacturer. This backdoor has a key, which we were able to extract. If you use this key you can disable the chip or reprogram it at will, even if locked by the user with their own key. This particular chip is prevalent in many systems from weapons, nuclear power plants to public transport. In other words, this backdoor access could be turned into an advanced Stuxnet weapon to attack potentially millions of systems.

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