Technology
Thousands of iPhone apps expose data inside Apple App Store
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Apple often promotes the App Store as a secure place to download apps. The company highlights strict reviews and a closed system as key protections for iPhone users. That reputation now faces serious questions.
New research shows that thousands of iOS apps approved by Apple contain hidden security flaws. These flaws can expose user data, cloud storage and even payment systems.
The issue is not malware; it’s poor security practices baked directly into the app code.
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APPLE WARNS MILLIONS OF IPHONES ARE EXPOSED TO ATTACK
Cybernews researchers found that many iOS apps store sensitive secrets directly inside app files, where they can be easily extracted. (Kurt “CyberGuy” Knutsson)
What researchers discovered inside iOS apps
Security researchers at Cybernews, a cybersecurity research firm, analyzed the code of more than 156,000 iPhone apps. That represents about 8% of all apps available worldwide.
Here is what they found:
- Over 815,000 hidden secrets inside app code
- An average of five secrets per app
- 71% of apps leaked at least one secret
These secrets include passwords, API keys and access tokens. Developers place them directly inside apps, where anyone can extract them. According to Cybernews researcher Aras Nazarovas, this makes attackers’ jobs much easier than most users realize.
What are hardcoded secrets in simple terms?
A hardcoded secret is sensitive information saved directly inside an app instead of being protected on a secure server. Think of it like writing your bank PIN on the back of your debit card. Once someone downloads the app, they can inspect its files and pull out those secrets. Attackers do not need special access or advanced hacking tools. Both the Cybersecurity and Infrastructure Security Agency and the Federal Bureau of Investigation warn developers not to do this. Yet it is happening at a massive scale.
Cloud storage leaks exposed huge amounts of data
One of the most serious problems involves cloud storage. More than 78,000 iOS apps contained direct links to cloud storage buckets. These buckets store files such as photos, documents, receipts and backups. In some cases, no password was required at all. Researchers found:
- 836 storage buckets are fully open to the public
- Over 76 billion exposed files
- More than 406 terabytes of leaked data
This data included user uploads, registration details, app logs and private records. Anyone who knew where to look could view or download it.
APPLE PATCHES TWO ZERO-DAY FLAWS USED IN TARGETED ATTACKS
This chart shows the most common types of hardcoded secrets found inside iOS apps, with Google-related keys appearing most often, according to Cybernews research. (Cybernews)
Firebase databases were also left open
Many iOS apps rely on Google Firebase to store user data. Cybernews found more than 51,000 Firebase database links hidden in app code. While some were protected, over 2,200 had no authentication. That exposed:
- Nearly 20 million user records
- Messages, profiles, and activity logs
- Databases that are mostly hosted in the U.S.
If a Firebase database is not locked down, attackers can browse user data like a public website.
Payment and login systems were at risk too
Some of the leaked secrets were far more dangerous than analytics or ads. Researchers discovered secret keys for:
- Stripe, which handles payments and refunds
- JWT authentication systems that control logins
- Order management tools used by shopping apps
A leaked Stripe secret key can allow attackers to issue refunds, move money or access billing details. Leaked login keys can let attackers impersonate users or take over accounts.
AI and social apps were among the worst offenders
Some of the apps with the largest leaks were related to artificial intelligence. According to VX Underground, security firm CovertLabs identified 198 iOS apps leaking user data. The worst known case was Chat & Ask AI by Codeway. Researchers say it exposed chat histories, phone numbers and email addresses tied to millions of users. Another app, YPT – Study Group, reportedly leaked messages, user IDs and access tokens. CovertLabs tracks these incidents in a restricted repository called Firehound. The full list of affected apps has not been publicly released, and researchers say the data is limited to prevent further exposure and to give developers time to fix security flaws.
MALICIOUS GOOGLE CHROME EXTENSIONS HIJACK ACCOUNTS
This example shows how sensitive keys like Google API credentials and Stripe payment secrets can be stored directly inside an iOS app’s files, where they are easy to extract. (Cybernews)
Why Apple’s App review can miss hidden security risks
Apple reviews apps before they appear in the App Store. However, the review process does not scan app code for hidden secrets. If an app behaves normally during testing, it can pass review even if sensitive keys are buried inside its files. This creates a gap between Apple’s security claims and real-world risks. Removing leaked secrets is not simple for developers. They must revoke old keys, create new ones and rebuild parts of their apps. That can break features and delay updates. Even though Apple says most app updates are reviewed within 24 hours, some updates take weeks. During that time, vulnerable apps can remain available.
CyberGuy contacted Apple for comment, but did not receive a response before publication.
Ways to stay safe right now
You cannot easily inspect an app for hidden secrets. Apple does not provide tools for that. Still, you can reduce your risk and limit exposure by being selective and cautious. These steps help reduce the risk if an app leaks data behind the scenes.
1) Stick to established app developers
Well-known developers tend to have stronger security teams and better update practices. Smaller or unknown apps may rush features to market and overlook security basics. Before downloading, check how long the developer has been active and how often the app is updated.
2) Review and limit app permissions
Many apps ask for more access than they need. Location, contacts, photos and microphone access all increase the risk of data leaks. Go into your iPhone settings and remove permissions that are not essential for the app to work.
3) Delete apps you no longer use
Unused apps still retain access to data you shared in the past. They may also store information on remote servers long after you stop opening them. If you have not used an app in months, remove it. Here’s how: Open Settings, tap General, select iPhone Storage, and scroll through the list of apps to see when each one was last used. Tap any app you no longer need and select Delete App to remove it and reduce ongoing data exposure.
4) Be cautious with personal and financial details
Avoid entering sensitive information unless it is absolutely necessary. This includes full names, addresses, payment details and private conversations. AI apps are especially risky if you share deeply personal content.
5) Use a password manager for every account
A password manager creates strong, unique passwords for each app and service. This prevents attackers from accessing multiple accounts if one app leaks data. Never reuse passwords tied to your email address.
Next, see if your email has been exposed in past breaches. Our No. 1 password manager pick includes a built-in breach scanner that checks whether your email address or passwords have appeared in known leaks. If you discover a match, immediately change any reused passwords and secure those accounts with new, unique credentials.
Check out the best expert-reviewed password managers of 2026 at Cyberguy.com.
6) Change passwords tied to exposed apps
If an app uses your email address for login, change that password immediately. Do this even if there is no confirmation of a breach. Attackers often test leaked credentials across other services.
7) Consider using a data removal service
Some leaked data ends up with data brokers that sell personal information online. A data removal service can help find and remove your details from these databases. This reduces the chance that exposed app data gets reused for scams or identity theft.
While no service can guarantee the complete removal of your data from the internet, a data removal service is really a smart choice. They aren’t cheap, and neither is your privacy. These services do all the work for you by actively monitoring and systematically erasing your personal information from hundreds of websites. It’s what gives me peace of mind and has proven to be the most effective way to erase your personal data from the internet. By limiting the information available, you reduce the risk of scammers cross-referencing data from breaches with information they might find on the dark web, making it harder for them to target you.
Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com.
Get a free scan to find out if your personal information is already out on the web: Cyberguy.com.
8) Monitor your accounts for unusual activity
Watch for unexpected emails, password reset notices, login alerts, or payment confirmations. These can signal that leaked data is already being abused. Act quickly if something looks off.
9) Pause use of risky AI and chat apps
If you use AI apps for private conversations, consider stopping until the developer confirms security fixes. Once data is exposed, it cannot be pulled back. Avoid sharing sensitive details with apps that store conversations remotely.
Kurt’s key takeaways
Apple’s App Store still offers important protections, but this research shows it is not foolproof. Many trusted iPhone apps quietly expose data due to basic security mistakes. Until app reviews improve, you need to stay alert and limit how much data you share.
How many apps on your iPhone have access to information you would not want exposed? Let us know by writing to us at Cyberguy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Valve is so behind on Steam Controller orders that some won’t ship until 2027
Valve has some good news and bad news about Steam Controllers. The good news: if you make a reservation for a Steam Controller, the company will now show you one of three estimates of when you’ll be able to actually order your gamepad: by September 2026, by December 2026, or sometime in 2027. The bad news: any reservations made today “indicate a 2027 date for shipping,” Valve says.
“We have no plans to stop making Steam Controller,” according to Valve. “But as we look at the current demand compared to how many we know we can make by the end of the year, we want to manage expectations as much as we can with regards to when folks can expect to receive their order.”
Valve’s very good new Steam Controller went on sale in early May, and the initial rush led some people to run into frustrating problems with trying to check out ahead of the controllers eventually going out of stock. A few days later, the company announced that it would be implementing a reservations queue for interested buyers so they could get on a waitlist. If you’re on the waitlist, when you get notified that a Steam Controller is ready for you to buy, you have 72 hours to actually make the order.
“When we launched Steam Controller last month, we quickly saw that initial demand exceeded our expectations,” Valve says. “Switching to a reservation queue has (hopefully) cut down on the headaches on the customer side, and for us it’s also been helpful as we plan ahead and try to get as many out as quickly as we are able.”
All three of Valve’s big hardware products were delayed from a planned early 2026 launch because of the component crisis, Valve still hasn’t announced when the Steam Machine PC or Steam Frame VR headset might go on sale. However, just yesterday, Valve officially launched its big SteamOS 3.8 update with support for the Steam Machine. It’s also been importing a lot of hardware into the US as of late.
Technology
McDonald’s AI drive-thru may take your next order
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The next time you pull up to a McDonald’s drive-thru, the voice taking your order may not be human. McDonald’s is testing a new AI-powered system called ArchIQ at five U.S. locations. The company has not said where those restaurants are located. The voice assistant, nicknamed Archy, can take drive-thru orders and has shown it can handle both English and Spanish.
For anyone who has repeated “no pickles” into a speaker box more than once, this could sound helpful. However, if you remember McDonald’s last AI drive-thru experiment, you may also wonder whether your burger order could somehow turn into a bag full of surprise McNuggets.
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WOULD YOU EAT AT A RESTAURANT RUN BY AI?
McDonald’s is testing an AI drive-thru system called ArchIQ at five U.S. restaurants. (Kurt “CyberGuy” Knutsson)
What is McDonald’s AI drive-thru?
ArchIQ is McDonald’s new AI system for restaurants. It can take drive-thru orders and also help with operations behind the scenes.
In a post on X, McFranchisee, an anonymous McDonald’s franchisee account, said the system is currently in five test stores and has processed more than one million transactions. The account also said about 90% of orders were completed without a human stepping in. That number sounds promising. Still, McDonald’s has not confirmed a nationwide launch date. For now, this remains a limited test.
The system also appears to connect with a bigger McDonald’s plan called “McDonald’s > NEXT.” CEO Chris Kempczinski described the strategy as a way to bring in more customers and improve restaurant productivity. The plan also includes menu changes, restaurant redesigns, technology upgrades and more focus on hospitality.
Why McDonald’s is testing AI ordering
Drive-thrus can get chaotic fast. Someone changes an order after the total appears. A child calls out from the back seat. Road noise makes the speaker hard to hear. Then the driver remembers the extra sauce after everything has already gone through. That is the type of pressure McDonald’s wants AI to handle.
If ArchIQ works well, it could help restaurants move cars through the line faster. It may also reduce mistakes during busy hours. Workers could then focus more on preparing food, handling payments and helping customers who need a real person.
ArchIQ also appears to have a management role. In the same X post, McFranchisee described Archy as a tool that could alert managers to bottlenecks or other issues before they slow down operations.
STARBUCKS USES CHATGPT TO SUGGEST DRINKS BASED ON MOOD AS EXPERT WARNS OF HIDDEN DOWNSIDES
The AI assistant, nicknamed Archy, can take drive-thru orders and may also help managers spot restaurant slowdowns. (McFranchisee)
McDonald’s tried AI drive-thru ordering before
This new test follows McDonald’s earlier AI drive-thru experiment with IBM. That program involved more than 100 restaurants. McDonald’s ended the test in 2024 after customers complained about order accuracy. Some mistakes also went viral, creating an embarrassing moment for McDonald’s and raising questions about whether the technology was ready for the drive-thru. Customers reported wrong items, strange quantities and other order mix-ups. That history is why this new test will get extra attention.
This time, McDonald’s is working with Google technology. McFranchisee also claimed every McDonald’s in the U.S. is getting Google Edge Cloud hardware in anticipation of the rollout. McDonald’s seems to believe the newer system can perform better than the last one. The real test will come when regular customers use it during real drive-thru rushes.
How McDonald’s AI drive-thru could help customers
If McDonald’s gets this right, the most obvious benefit is speed. An AI ordering system does not get tired during a long shift. It may also help more customers order in the language they prefer. That could make a busy drive-thru feel less frustrating, especially during breakfast or late-night hours.
The system may also ask clearer follow-up questions and catch missing details before the order reaches the kitchen. That would be a win for customers who want to get in, get their food and get on with the day.
The biggest problem with AI drive-thru orders
The biggest concern is accuracy. AI can still misunderstand people. That gets frustrating fast when you are trying to grab lunch between errands or get your kids fed from the back seat. A wrong order wastes time. It also puts workers in the position of fixing a mistake the machine made.
There is also the customer service side. Some people like hearing a real person at the speaker. Others may find an AI voice cold or annoying, especially if the system gets confused.
Then there is the privacy question. If an AI system takes your order, customers may wonder what gets collected, how long it is kept and who can access it. McDonald’s has not publicly explained those specifics for this current ArchIQ test.
ALEXA+ LETS YOU ORDER FOOD LIKE A REAL CONVERSATION
A drive-thru menu board stands outside a McDonald’s restaurant in Hercules, Calif., on Oct. 23, 2024, amid an E. coli outbreak linked to onions in Quarter Pounder sandwiches that has sickened dozens and killed one person across the U.S. (David Paul Morris/Bloomberg via Getty Images)
How to avoid AI drive-thru mistakes
Before you leave the drive-thru, take a moment to check the order screen. Make sure the items match what you said. Listen when the system repeats your order. Keep your receipt until you confirm the food is right.
Also, avoid sharing extra personal details at the speaker box. Your order should only require your food choices and payment.
If the AI gets confused, ask for a crew member. You do not need to keep going back and forth with a machine over fries.
What this means for you
For now, you probably will not notice a change at your local McDonald’s. The ArchIQ test appears limited to five U.S. restaurants, and the company has not said when it could expand.
Still, this gives customers a preview of where fast food may be heading. AI could soon play a bigger role in how restaurants take orders and manage the kitchen. That may speed up the line, though it could also make the experience feel less personal.
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Kurt’s key takeaways
McDonald’s clearly wants AI to play a bigger role in its restaurants. From a business point of view, the idea makes sense. Shorter drive-thru lines could help franchisees and customers. Better restaurant data could also help managers fix problems faster. But I still want the human backup. Food orders can be messy because people are messy. We change our minds. We talk over each other. We forget the extra ketchup until the last second. AI may handle much of that one day. For now, I would treat it like any busy drive-thru interaction. Speak clearly. Check the order. Do not pull away until you know your food is right.
Would you trust an AI voice to take your McDonald’s order, or do you still want a real person on the other end of the speaker? Let us know by writing to us at Cyberguy.com
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Midjourney goes from generating cat images to full-body ultrasound scans
Midjourney CEO David Holz just showed off the company’s first hardware product and plans to build a San Francisco spa, which he admitted is a bit different from the “cat pictures” produced by its AI image generator. Dubbed The Midjourney Scanner, it’s an ultrasound-based full-body scanner that uses a ring of sensors to capture vertical slices of the inside of your body, looking at the composition of your muscle, fat, bone, and organs to start. Holz said ideally, you could do this once a year or every single day, as it “aims for image quality comparable to MRI in many ways.”
He mentioned that one way he’d like to use it would be to see how his body changes in response to diet and workout changes, saying, “I’m not the most measured man on Earth yet, you know, but maybe I want to have that daily [measurable information].” A set of job listings advertises the company’s goal as trying to “build and launch the world’s first full-body ultrasound CT scanner, ultimately bringing safe, fast, and high fidelity preventative scanning to billions via a magical spa experience.”
The Midjourney Scanner was developed in a partnership with ultrasound tech company Butterfly Network, which said it uses “40 Butterfly Ultrasound-on-Chip imaging modules per system.”
The scanning process starts with stepping onto a platform that drops down into the water on rails through a ring of thousands of transducers that create ultrasonic waves. It then records the ripples passing through your body to analyze them and create detailed 3D images. The scan takes about 60 seconds. Holz said about a dozen people have been scanned so far.
It starts by stepping into a shallow pool of golden light. You then begin to descend into the water. Your body passes through a ring of underwater sensors, each acting like a dolphin, using its echolocation. The sensors send ultrasonic sound waves through your body from every angle. With enough waves, and enough angles, we form an image of what’s happening inside your body.
It combines those sensors with two petaflops of processing power. But after watching the livestreamed reveal, I’m still unclear on what Midjourney’s AI image generation tech exactly has to do with the Midjourney Medical effort, beyond an alternative business for otherwise-unused AI compute.
Holz hopes to put 10 of the scanners into a Midjourney Spa location in San Francisco’s Union Square that will open before the end of 2027 and offered to scan the hands of attendees at its launch event. The Midjourney Spa will have a gym, saunas, and cold plunges to go along with the hot tub–equipped scanning rooms where visitors will get into the water to be scanned.
He did mention that various medical applications would require FDA clearances, but for now, Midjourney Medical says it’s working on “body composition maps” that don’t require the same level of clearance as diagnostic imaging. It also says the “library of scans” users create can be shared with doctors, AI health tools, or others, and that, “We take data privacy seriously — more details on our data policies will come as we get closer to launch.”
Holz suggested that eventually these scans could become better than an MRI, without radiation, powerful magnets, or other complicating factors, to get a look at what’s going on inside people’s bodies “real fast.” In response to a question, he imagined a future where the FDA had a class of devices to look at “weird” things and allowed people to “just try to get as much data as we can.”
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