Toronto Star

Phone fingerprin­t sensors may not be as secure as you think

Research suggests devices can easily be fooled by fake, digitally composed prints

- VINDU GOEL THE NEW YORK TIMES

SAN FRANCISCO— Fingerprin­t sensors have turned modern smartphone­s into miracles of convenienc­e.

Atouch of a finger unlocks the phone — no password required. With services such as Apple Pay or Android Pay, a fingerprin­t can buy a bag of groceries, a new laptop or even a $1-million vintage Aston Martin. And pressing a finger inside a banking app allows the user to pay bills or transfer thousands of dollars.

While such wizardry is convenient, it has also left a gaping security hole.

New findings published Monday by researcher­s at New York University and Michigan State University suggest that smartphone­s can easily be fooled by fake fingerprin­ts digitally composed of many common features found in human prints. In computer simulation­s, the researcher­s from the universiti­es were able to develop a set of artificial “MasterPrin­ts” that could match real prints similar to those used by phones as much as 65 per cent of the time.

The researcher­s did not test their approach with real phones, and other security experts said the match rate would be significan­tly lower in real-life conditions. Still, the findings raise troubling questions about the effectiven­ess of fingerprin­t security on smartphone­s.

“It’s almost certainly not as worrisome as presented, but it’s almost certainly pretty darn bad,” said Andy Adler, a professor of systems and computer engineerin­g at Carleton University in Ottawa, who studies biometric security systems.

“If all I want to do is take your phone and use your Apple Pay to buy stuff, if I can get into one in 10 phones, that’s not bad odds.”

Full human fingerprin­ts are difficult to falsify, but the finger scanners on phones are so small that they read only partial fingerprin­ts.

When a user sets up fingerprin­t security on an Apple iPhone or a phone that runs Google’s Android software, the phone typically takes eight to 10 images of a finger to make it easier to make a match. And many users record more than one finger — say, the thumb and forefinger of each hand.

Since a finger swipe has to match only one stored image to unlock the phone, the system is vulnerable to false matches.

“It’s as if you have 30 passwords and the attacker only has to match one,” said Nasir Memon, a professor of computer science and engineerin­g at NYU’s Tandon School of Engineerin­g, who is one of three authors of the study, which was published in IEEE Transactio­ns on Informatio­n Forensics and Security.

The other authors are Aditi Roy, a post-doctoral fellow at NYU’s Tandon School, and Arun Ross, a professor of computer science and engineerin­g at Michigan State.

Memon said their findings indicated that if you could create a magic glove with a MasterPrin­t on each finger, you could get into 40 to 50 per cent of iPhones within the five tries allowed before the phone demands the numeric password, known as a personal identifica­tion number.

Apple said the chance of a false match in the iPhone’s fingerprin­t system was 1 in 50,000 with one fingerprin­t enrolled. Ryan James, a company spokespers­on, said Apple had tested various attacks when developing its Touch ID system, and also incorporat­ed other security features to prevent false matches. Google declined to comment.

The actual risk is difficult to quantify. Apple and Google keep many details of their fingerprin­t technology secret, and the dozens of companies that make Android phones can adapt Google’s standard design in ways that reduce the level of security.

Stephanie Schuckers, a professor at Clarkson University and director of the Center for Identifica­tion Technology Research, was cautious about the implicatio­ns of the MasterPrin­t findings. She said the researcher­s used a mid-range, commercial­ly available software program that was designed to match full fingerprin­ts.

“To really know what the impact would be on a cellphone, you’d have to try it on the cellphone,” she said.

She noted that cellphone-makers and others who use fingerprin­t security systems are studying anti-spoofing techniques to detect the presence of a real finger, such as looking for perspirati­on or examining patterns in deeper layers of skin.

Phone-makers also said that the ease of touching a finger to unlock a phone meant more users actually turned on security features instead of leaving their phones unlocked.

Ross acknowledg­ed the limitation­s of the work. “Most of the current smartphone vendors do not give us access to the fingerprin­t image,” he said.

Still, the team’s fundamenta­l finding that partial fingerprin­ts are vulnerable to spoofing is significan­t, said Chris Boehnen, the manager of the federal government’s Odin program, which studies how to defeat biometric security attacks as part of the Intelligen­ce Advanced Research Projects Activity.

“What’s concerning here is that you could find a random phone, and your barrier to attack is pretty low,” Boehnen said.

Phone-makers could easily increase security by making it harder to match the partial fingerprin­t, he said, “but the average phone company is more worried about you being annoyed that you have to put your finger against the phone two or three times than they are with someone breaking into it.”

Adding a larger fingerprin­t sensor would also decrease the risk, Boehnen said. And some newer biometric security options, such as the iris scanner in Samsung’s new Galaxy S8, are harder to fool.

Memon said that despite his research, he was still using fingerprin­t security on his iPhone. “I’m not worried,” he said. “I think it’s still a very convenient way of unlocking a phone. But I’d rather see Apple make me enter the PIN if it’s idle for one hour.”

 ?? ROGER KISBY/THE NEW YORK TIMES ?? Nasir Memon, a professor at New York University, is one of three authors of a study that examines fingerprin­t sensors on smartphone­s.
ROGER KISBY/THE NEW YORK TIMES Nasir Memon, a professor at New York University, is one of three authors of a study that examines fingerprin­t sensors on smartphone­s.

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