![]() The smartphone without prior knowledge about the victim is estimated at 40 Validated on on all devices except iPhone, where the shortest time to unlock AsĪll of them are vulnerable to some extent, fingerprint brute-force attack is Typical types of applications involving screen lock, payment, and privacy. WeĮvaluate BrutePrint on 10 representative smartphones from top-5 vendors and 3 A case study shows that we alwaysīypasses liveness detection and attempt limit while 71% spoofs are accepted. Inputs from arbitrary fingerprint images. Propose a method based on neural style transfer to generate valid brute-forcing Liveness and matching problems with neural style transfer (NST). Moreover, we consider a practical cross-device attack scenario and tackle the Zero-day vulnerabilities in smartphone fingerprint authentication (SFA)įramework, and the hijacking leverages the simplicity of SPI protocol. We implementīrutePrint to automate the attack, that acts as a middleman to bypass attempt Off-the-shelf smartphones and propose a generic attack framework. ![]() We study the seemingly impossible fingerprint brute-force attack on The smartphone industry is fully aware of existing threats, andĮspecially for the presentation attack studied by most prior works, the threatsĪre nearly eliminated by liveness detection and attempt limit. Download a PDF of the paper titled BrutePrint: Expose Smartphone Fingerprint Authentication to Brute-force Attack, by Yu Chen and 1 other authors Download PDF Abstract: Fingerprint authentication has been widely adopted on smartphones toĬomplement traditional password authentication, making it a tempting target forĪttackers.
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