He Stole Hundreds of iPhones and Looted People’s Life Savings. He Told Us How.
A convicted iPhone thief explains how a vulnerability in Apple’s software got him fast cash—and then a stint in a high-security prison
A convicted iPhone thief explains how a vulnerability in Apple’s software got him fast cash—and then a stint in a high-security prison
RUSH CITY, Minn.—Before the guards let you through the barbed-wire fences and steel doors at this Minnesota Correctional Facility, you have to leave your phone in a locker. Not a total inconvenience when you’re there to visit a prolific iPhone thief.
I wasn’t worried that Aaron Johnson would steal my iPhone, though. I came to find out how he’d steal it.
“I’m already serving time. I just feel like I should try to be on the other end of things and try to help people,” Johnson, 26 years old, told me in an interview we filmed inside the high-security prison where he’s expected to spend the next several years.
For the past year, my colleague Nicole Nguyen and I have investigated a nationwide spate of thefts, where thieves watch iPhone owners tap their passcodes, then steal their targets’ phones—and upend their financial and digital lives.
Johnson, along with a crew of others, operated in Minneapolis for at least a year during 2021 and 2022. In and around bars at night, he would befriend young people, slyly learn their passcodes and take their phones. Using that code, he’d lock victims out of their Apple accounts and loot thousands of dollars from their bank apps. Finally, he’d sell the phones themselves.
It was an elaborate, opportunistic scheme that exploited the Apple ecosystem and targeted trusting iPhone owners who figured a stolen phone was just a stolen phone.
Last week, Apple announced Stolen Device Protection, a feature that likely will protect against these passcode-assisted crimes.
Yet even when you install the software, due in iOS 17.3, there will be loopholes. The biggest loophole? Us. By hearing how Johnson did what he did, we can learn how to better secure the devices that hold so much of our lives.
Johnson isn’t a sophisticated cybercriminal. He said he got his start pickpocketing on the streets of Minneapolis. “I was homeless,” he said. “Started having kids and needed money. I couldn’t really find a job. So that’s just what I did.”
Soon he realised the phones he was nabbing could be worth a lot more—if only he had a way to get inside them. Johnson said no one taught him the passcode trick, he just stayed up late one night fiddling with a phone and figured out how to use the passcode to unlock a bounty of protected services.
“That passcode is the devil,” he said. “It could be God sometimes—or it could be the devil.”
According to the Minneapolis Police Department’s arrest warrant, Johnson and the other 11 members of the enterprise allegedly accumulated nearly $300,000. According to him, it was likely more.
“I had a rush for large amounts at a time,” he said. “I just got too carried away.”
In March, Johnson, who had prior robbery and theft convictions, pleaded guilty to racketeering and was sentenced to 94 months. He told the judge he was sorry for what he did.
Here’s how the nightly operation would go down, according to interviews with Johnson, law-enforcement officials and some of the victims:
Pinpoint the victim. Dimly lit and full of people, bars became his ideal location. College-age men became his ideal target. “They’re already drunk and don’t know what’s going on for real,” Johnson said. Women, he said, tended to be more guarded and alert to suspicious behaviour.
Get the passcode. Friendly and energetic, that’s how victims described Johnson. Some told me he approached them offering drugs. Others said Johnson would tell them he was a rapper and wanted to add them on Snapchat. After talking for a bit, they would hand over the phone to Johnson, thinking he’d just input his info and hand it right back.
“I say, ‘Hey, your phone is locked. What’s the passcode?’ They say, ‘2-3-4-5-6,’ or something. And then I just remember it,” Johnson described. Sometimes he would record people typing their passcodes.
Once the phone was in his hand, he’d leave with it or pass it to someone else in the crew.
Lock them out—fast. Within minutes of taking the iPhones, Johnson was in the Settings menu, changing the Apple ID password. He’d then use the new password to turn off Find My iPhone so victims couldn’t log in on some other phone or computer to remotely locate—and even erase—the stolen device.
Johnson was changing passwords fast—“faster than you could say supercalifragilisticexpialidocious,” he said. “You gotta beat the mice to the cheese.”
Take the money. Johnson said he would then enrol his face in Face ID because “when you got your face on there, you got the key to everything.” The biometric authentication gave Johnson quick access to passwords saved in iCloud Keychain.
Savings, checking, cryptocurrency apps—he was looking to transfer large sums of money out. And if he had trouble getting into those money apps, he’d look for extra information, such as Social Security numbers, in the Notes and Photos apps.
By the morning, he’d have the money transferred. That’s when he’d head to stores to buy stuff using Apple Pay. He’d also use the stolen Apple devices to buy more Apple devices, most often $1,200 iPad Pro models, to sell for cash.

Sell the phones. Finally, he’d erase the phone and sell it to Zhongshuang “Brandon” Su who, according to his arrest warrant, sold them overseas.
While Johnson did steal some Android phones, he went after iPhones because of their higher resale value. At bars, he’d scope out the scene—looking for iPhone Pro models with their telltale trio of cameras. He said Pro Max with a terabyte of storage could get him $900. Su also bought Johnson’s purchased iPads.
Su pleaded guilty to receiving stolen property and was sentenced to 120 days at an adult corrections facility in Hennepin County, Minn. Neither Su nor his lawyer responded to requests for comment.
On a good weekend, Johnson said, he was selling up to 30 iPhones and iPads to Su and making around $20,000—not including money he’d taken from victims’ bank apps, Apple Pay and more.
A week after my trip to Minnesota, Apple announced Stolen Device Protection. The security setting will likely foil most of Johnson’s tricks, but it won’t be turned on automatically.
If you don’t turn it on, you’re as vulnerable as ever. Switching it on adds a line of defence to your phone when away from familiar locations such as home or work.

To change the Apple ID password, a thief would need Face ID or Touch ID biometric scans—that is, your face or your finger. The passcode alone won’t work. And the process has a built-in hourlong delay, followed by another biometric scan. This same slow process is also required for adding a new Face ID and disabling Find my iPhone.
Some functions, such as accessing saved passwords in iCloud Keychain or erasing the iPhone, are available without the delay but still require Face ID or Touch ID.
A criminal might still be motivated to kidnap a person with lots of money, then slowly break through these layers of security. However, the protections will likely dissuade thieves who just want to grab phones and flee the scene.
So what loopholes remain? A thief who gets the passcode could still buy things with Apple Pay. And any app that isn’t protected by an additional password or PIN—like your email, Venmo, PayPal and more—is also vulnerable.
That’s why you should also:
The most obvious is Johnson’s advice: Watch your surroundings and don’t give your passcode out.
If this crime has taught us anything, it’s that a single device now contains access to our entire lives—our memories, our money and more. It’s on us to protect them.
—Nicole Nguyen contributed to this article.
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.