Getting a brand-new iPhone should be a moment you enjoy. You open the box. You power it on. Everything feels secure. Unfortunately, scammers know that moment too. 

Over the past few weeks, we’ve heard from a number of people who received unexpected phone calls shortly after activating a new iPhone. The callers claimed to be from a major carrier. They said a shipping mistake was made. They insisted the phone needed to be returned right away. One message stood out because it shows exactly how convincing and aggressive this scam can be.

“Somebody called me (the call said it was from Spectrum) and told me they sent the wrong iPhone and needed to replace it. I was to rip off the label on the box, tape it up and set it on my porch steps. FedEx was going to pick it up and they’d put a label on it. And just for my trouble, he’d send me a $100 gift card! However, the guy was just too anxious. He called me again at 7 am to make sure I would follow his instructions. Right after that, I picked up my box on the steps and called Spectrum, who confirmed it was a scam. There are no such things as refurbished i17 phones because they’re brand new. I called the guy back, said a few choice words and hung up on him. Since then, they have called at least twice for the same thing. Spectrum should be warning its customers!”

— Kris L, Columbus, Montana

That second early morning call was the giveaway. Pressure is the scammer’s favorite tool.

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How the new iPhone replacement scam works

This scam relies on timing and pressure. First, criminals focus on people who recently bought a new iPhone. That information often comes from data-broker sites, leaked purchase data or marketing lists sold online. Next, scammers spoof a carrier phone number. As a result, the call appears legitimate. They sound confident and informed because they already know the device model you ordered.

Once the call begins, the story moves quickly. The scammer claims a shipping mistake occurred. Then they insist the phone must be returned right away. To reinforce urgency, they say a courier is already scheduled. If you follow the instructions, you hand over a brand-new iPhone. At that point, the device is gone. The scammer either resells it or strips it for parts. By the time you realize something is wrong, recovery is unlikely.

Why this scam feels so believable

This scam copies real customer service processes. Carriers do ship replacement phones. FedEx does handle returns. Gift cards are often used as apologies. Scammers blend those facts together and add urgency. They count on you acting before you verify. They also rely on one risky assumption, that a phone call that looks real must be real.

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Red flags that give this scam away

Once you know what to watch for, the warning signs are clear.

• Unsolicited calls about returns you did not request

• Pressure to act fast

• Instructions to leave a phone outside

• Promises of gift cards for cooperation

• Follow-up calls to rush you

Legitimate carriers do not handle returns this way.

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Ways to stay safe from iPhone return scams

Protecting yourself starts with slowing things down. Scammers rely on speed and confusion. You win by pausing and verifying.

1) Never return a device based on a phone call alone

Hang up and contact the carrier using the number on your bill or the official website. If the issue is real, they will confirm it.

2) Do not leave electronics outside for pickup

Legitimate returns use tracked shipping labels tied to your account. Carriers do not ask you to leave phones on porches or doorsteps.

3) Be skeptical of urgency

Scammers rush you on purpose. Pressure shuts down careful thinking. Any demand for immediate action should raise concern.

4) Use a data removal service

Scammers often know what phone you bought because your personal data is widely available online. Data removal services help reduce your exposure by removing your information from data broker sites that criminals rely on. 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.

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5) Install strong antivirus software

Strong antivirus software adds another layer of protection. Many antivirus tools help block scam calls, warn about phishing links and alert you to suspicious activity before damage is done.

The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have strong antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe.

Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android, & iOS devices at Cyberguy.com.

6) Save messages and call details

Keep voicemails, phone numbers and timestamps. This information helps carriers warn other customers and spot repeat scams.

7) Share this scam with others

Criminals reuse the same script again and again. A quick warning to friends or family could stop the next victim.

Kurt’s key takeaways

Scams aimed at new iPhone owners are getting more targeted and more aggressive. Criminals are timing their calls carefully and copying real carrier language. The simplest defense still works best. Verify before you act. If a call pressures you to rush or hand over a device, pause and contact the company directly. That one step can save you hundreds of dollars and a major headache.

If a carrier called you tomorrow claiming a mistake with your new phone, would you verify first or would urgency take over? Let us know by writing to us at Cyberguy.com.

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Amazon’s Ring video doorbells are getting a major artificial intelligence (AI) upgrade, and it is already stirring controversy.

The company has started rolling out a new feature called Familiar Faces to Ring owners across the United States. Once enabled, the feature uses AI-powered facial recognition to identify people who regularly appear at your door. Instead of a generic alert saying a person is at your door, you might see something far more personal, like “Mom at Front Door.” On the surface, that sounds convenient.

Privacy advocates, however, say this shift comes with real risks.

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How Ring’s Familiar Faces feature works

Ring says Familiar Faces helps you manage alerts by recognizing people you know. Here is how it works in practice. You can create a catalog of up to 50 faces. These may include family members, friends, neighbors, delivery drivers, household staff or other frequent visitors. After labeling a face in the Ring app, the camera will recognize that person as they approach. Anyone who regularly passes in front of your Ring camera can be labeled by the device owner if they choose to do so, even if that person is unaware they are being identified.

From there, Ring sends personalized notifications tied to that face. You can also fine-tune alerts on a per-face basis, which means fewer pings for your own comings and goings. Importantly, the feature is not enabled by default. You must turn it on manually in the Ring app settings. Faces can be named directly from Event History or from the Familiar Faces library. You can edit names, merge duplicates or delete faces at any time.

Amazon says unnamed faces are automatically removed after 30 days. Once a face is labeled, however, that data remains stored until the user deletes it.

Why privacy groups are pushing back

Despite Amazon’s assurances, consumer protection groups and lawmakers are raising alarms. Ring has a long history of working with law enforcement. In the past, police and fire departments were able to request footage through the Ring Neighbors app. More recently, Amazon partnered with Flock, a company that makes AI-powered surveillance cameras widely used by police and federal agencies. Ring has also struggled with internal security. In 2023, the FTC fined Ring $5.8 million after finding that employees and contractors had unrestricted access to customer videos for years. The Neighbors app previously exposed precise home locations, and Ring account credentials have repeatedly surfaced online. Because of these issues, critics argue that adding facial recognition expands the risk rather than reducing it.

Electronic Frontier Foundation (EFF) staff attorney Mario Trujillo tells CyberGuy, “When you step in front of one of these cameras, your faceprint is taken and stored on Amazon’s servers, whether you consent or not. Today’s feature to recognize your friend at your front door can easily be repurposed tomorrow for mass surveillance. It is important for state regulators to investigate.” The Electronic Frontier Foundation is a well-known nonprofit organization that focuses on digital privacy, civil liberties and consumer rights in the tech space. 

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Where the feature is blocked and why that matters

Legal pressure is already limiting where Familiar Faces can launch. According to the EFF, privacy laws are preventing Amazon from offering the feature in Illinois, Texas and Portland, Oregon. These jurisdictions have stricter biometric privacy protections, which suggests regulators see facial recognition in the home as a higher-risk technology. U.S. Senator Ed Markey has also called on Amazon to abandon the feature altogether, citing concerns about surveillance creep and biometric data misuse.

Amazon says biometric data is processed in the cloud and not used to train AI models. The company also claims it cannot identify all locations where a face appears, even if law enforcement asks. Still, critics point out the similarity to Ring’s Search Party feature, which already scans neighborhoods to locate lost pets.

We reached out to Amazon for comment but did not receive a response before our deadline.

Ring’s other AI feature feels very different

Not all of Ring’s AI updates raise the same level of concern. Ring recently introduced Video Descriptions, a generative AI feature that summarizes motion activity in plain text. Instead of guessing what triggered an alert, you might see messages like “A person is walking up the steps with a black dog” or “Two people are peering into a white car in the driveway.”

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How Video Descriptions decides what matters

This AI focuses on actions rather than identities. It helps you quickly decide whether an alert is urgent or routine. Over time, Ring says the system can recognize activity patterns around a home and only notify you when something unusual happens. However, as with any AI system, accuracy can vary depending on lighting, camera angle, distance and environmental conditions. Video Descriptions is currently rolling out in beta to Ring Home Premium subscribers in the U.S. and Canada. Unlike facial recognition, this feature improves clarity without naming or tracking specific people. That contrast matters.

Should you turn Familiar Faces on?

If you own a Ring doorbell, caution is wise. While Familiar Faces may reduce notification fatigue, labeling people by name creates a detailed record of who comes to your home and when. Given Ring’s past security lapses and close ties with law enforcement, many privacy experts recommend keeping the feature disabled. If you do use it, avoid full names and remove faces you no longer need. In many cases, simply checking the live video feed is safer than relying on AI labels. Not every smart home feature needs to know who someone is.

How to turn Familiar Faces on or off in the Ring app

If you want to review or change this setting, you can do so at any time in the Ring mobile app.

To enable Familiar Faces:

• Open the Ring app
• Tap the menu icon
• Select Control Center
• Tap Video and Snapshot Capture
• Select Familiar Faces
• Toggle the feature on and follow the on-screen prompts

To turn Familiar Faces off:

• Open the Ring app
• Go to Control Center
• Tap Video and Snapshot Capture
• Select Familiar Faces
• Toggle the feature off

Turning the feature off stops facial recognition and prevents new faces from being identified. Any labeled faces can also be deleted manually from the Familiar Faces library if you want to remove stored data.

Alexa is now answering your door for you

Amazon is also rolling out a very different kind of AI feature for Ring doorbells, and it lives inside Alexa+. Called Greetings, this update gives Ring doorbells a conversational AI voice that can interact with people at your door when you are busy or not home. Instead of identifying who someone is, Greetings focuses on what they appear to be doing. Using Ring’s video descriptions, the system looks at apparel, actions, and objects to decide how to respond. 

For example, if someone in a delivery uniform drops off a package, Alexa can tell them exactly where to leave it based on your instructions. You can even set preferences to guide delivery drivers toward a specific spot, or let them know water or snacks are available. If a delivery requires a signature, Alexa can ask the driver when they plan to return and pass that message along to you. The feature can also handle sales representatives or service vendors. You might set a rule such as politely declining sales pitches without ever coming to the door yourself.

Greetings can also work for friends and family. If someone stops by while you are away, Alexa can greet them and ask them to leave a message for you. That interaction is saved so you can review it later. That said, the system is not perfect. Because it relies on visual context rather than identity, mistakes can happen. A friend who works in logistics could show up wearing a delivery uniform and be treated like a courier instead of being invited to leave a message. Amazon acknowledges that accuracy can vary. Importantly, Amazon says Greetings does not identify who a person is. It uses Ring’s video descriptions to determine the main subject in front of the camera and generate responses, without naming or recognizing individuals. That makes it fundamentally different from the Familiar Faces feature, even though both rely on AI.

Greetings is compatible with Ring Wired Doorbell Pro (3rd Gen) and Ring Wired Doorbell Plus (2nd Gen). It is available to Ring Premium Plan subscribers who have video descriptions enabled and is currently rolling out to Alexa+ Early Access users in the United States and Canada.

Thinking about a Ring doorbell?

If you are already in the Ring ecosystem or considering a video doorbell, Ring’s lineup includes models with motion alerts, HD video, night vision, and optional AI-powered features such as Video Descriptions. While Familiar Faces remains controversial and can be turned off, many homeowners still use Ring doorbells for basic security awareness and package monitoring. 

If you decide Ring is right for your home, you can check out the latest Ring Video Doorbell models or compare features and pricing with other options by visiting Cyberguy.com and searching “Top Video Doorbells.”

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Kurt’s key takeaways

Amazon Ring’s AI facial recognition feature shows how quickly convenience can collide with privacy. Familiar Faces may offer smarter alerts, but it also expands surveillance into deeply personal spaces. Meanwhile, features like Video Descriptions prove that AI can be useful without identifying people. As smart home tech evolves, the real question is not what AI can do but what it should do.

Would you trade fewer notifications for a system that recognizes and names everyone who comes to your door? Let us know by writing to us at Cyberguy.com.

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