Technology
Meta Medicare scam ads targeting seniors face scrutiny
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A Facebook ad tells older Americans to claim a Medicare allowance card before it is too late. Another promises thousands of dollars for groceries, rent and gas. Some ads sound like they are coming from the government. Others use fake deadlines, familiar faces or official-looking claims to get people to click. For many seniors, that kind of ad can feel confusing because Medicare is already complicated enough.
Now, a new report from the Center for Countering Digital Hate, known as CCDH, takes a closer look at Medicare scam ads on Meta’s platforms. The report claims scammers used Facebook ads to reach seniors with misleading offers for “free benefits” such as grocery cards, flex cards or monthly spending allowances. Meta strongly disputes the idea that it ignores scams. The company says it is fighting them aggressively and points to large removal numbers, new anti-scam tools and its work with law enforcement.
STOP MEDICARE SCAMS BEFORE THEY STOP YOU
A new CCDH report claims Medicare scam ads on Meta platforms targeted seniors with misleading offers for grocery cards, flex cards and allowances. (Halfpoint/iStock/Getty Images)
So what should you take from this? There’s no easy answer. CCDH says scam advertisers reached older Americans on a huge scale. Meta says scammers are determined criminals who constantly try to evade detection. That leaves seniors stuck in the middle, trying to figure out which Medicare ads are real and which ones are designed to trick them.
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What CCDH says about Meta Medicare scam ads
CCDH says it analyzed more than 90,000 ads from Meta’s Ad Library to study Medicare scam activity. From that larger review, the group says it identified the top 30 Medicare scammers by ad spend. Those advertisers accounted for 42,984 ads in CCDH’s review.
CCDH defined Medicare scams as ads that promoted supposed extra benefits to Medicare beneficiaries while using deceptive tactics. Those tactics included misleading benefit claims, false government-style branding, fake endorsements from public figures, AI-generated celebrity or politician endorsements and fabricated enrollment deadlines. The group says these tactics violate Meta’s advertising rules on fraud, scams and deceptive practices.
How many people saw the Medicare scam ads?
CCDH says Medicare scammers received 215 million impressions on their ads in the year studied, from March 12, 2025, through March 11, 2026. The report says that is nearly six times as many impressions as all previous years on record combined. The group also says Meta collected an estimated $14.3 million from these Medicare scam advertisers. According to CCDH, $12.4 million of that came during that same one-year period.
In some cases, the report says users who clicked were asked for personal information or pushed toward changing Medicare plans. That can put seniors in a tough spot if they think they are checking eligibility for a legitimate benefit. Instead, they could end up sharing sensitive details or being steered toward a plan that may not fit their doctors, prescriptions or budget.
Why seniors are being targeted by Medicare scam ads
According to CCDH, 73% of impressions from the top Medicare scammers came from people over age 65. The report estimates that seniors over 65 viewed these ads 185 million times on Meta’s platforms. CCDH also estimates that users ages 55 to 64 accounted for about 50 million impressions. The most targeted states, according to the report, were Texas, Florida, North Carolina and Pennsylvania. CCDH notes that these states have large Medicare-eligible populations.
That targeting detail is important. Medicare scams work best when they reach people who are already eligible, close to being eligible or helping a family member make decisions. A younger person may scroll past a fake Medicare grocery card ad. A senior on a fixed income may stop and click.
What the Medicare scam ads looked like
The examples in the CCDH report follow a pattern. They promise money or benefits that sound urgent and easy to claim. Some ads allegedly told seniors they could get $3,600 for groceries, rent or gas. Others suggested that Medicare recipients could qualify for a spending card, grocery card or monthly allowance.
CCDH says some ads falsely presented themselves as connected to the government. Others implied that politicians had approved a new benefit. Some used fake AI-generated endorsements from politicians or celebrities. Others created pressure by claiming enrollment would close that night, funds were limited, or viewers had only hours left.
Those tactics are familiar in many scams. The offer sounds helpful. The deadline feels urgent. The ad uses public figures or government-style language to build trust. That combination can be especially risky during Medicare enrollment seasons, when legitimate plan options and real deadlines are already confusing.
Meta responds to the Medicare scam ad report
Meta says scams are bad for users, advertisers and its own platforms. A Meta spokesperson provided CyberGuy with this statement in response to the CCDH report:
“Scammers are determined criminals who use increasingly sophisticated tactics to defraud people and evade detection on our platforms and across the internet. We aggressively fight scams on and off our platforms because they’re not good for us or the people and businesses that rely on our services. We removed over 159 million scam ads last year alone – 92% of which we took down before anyone reported them – launched new tools to protect people, and partnered with law enforcement around the globe to disrupt these criminals.”
Meta also points to recent anti-scam work and partnerships. The company says it continues to invest in new technology, including tools to combat securities investment scams and celeb-bait scams. Meta also says it now prohibits U.S. financial services ads from linking to messaging services and is expanding advertiser verification. In addition, Meta says the Department of Justice recently credited the company with assisting in the takedown of a criminal scam ring.
MEDICARE DATA BREACH EXPOSES 100,000 AMERICANS’ INFO
Seniors should verify Medicare benefits directly with Medicare or a trusted licensed adviser before responding to social media ads. (Kurt “CyberGuy” Knutsson)
Where Meta and CCDH disagree on scam ads
CCDH’s report focuses on what it says got through Meta’s systems. Meta’s response focuses on how much it removed and how aggressively scammers try to evade detection. In other words, CCDH is pointing to the ads that slipped through, while Meta is pointing to the scams it says it stopped.
CCDH says Meta approved ads that appeared to violate its own policies. The group also says Meta sometimes removed one ad while allowing similar or identical content to keep running. In one example cited by CCDH, researchers found 86 ads with identical content. The report says Meta rejected 48 of them while allowing 38 to run. CCDH also says removed ads in its review accumulated 72 million impressions before Meta took them down. The group estimates those removed ads generated $3.7 million in revenue for Meta before removal. Meta, meanwhile, says it removed more than 159 million scam ads last year and took down 92% of them before anyone reported them.
In a statement to CyberGuy, CCDH CEO and founder Imran Ahmed said the report shows Meta is giving scammers access to a powerful advertising system.
“We finally have clear evidence that Meta is doing business with scammers preying on older Americans, providing them with a sophisticated advertising platform that helps them identify and access potential victims. This is a business model that puts revenue ahead of the wellbeing of American seniors. Many elderly people will suffer catastrophic economic harm, as well as enduring shame and potentially serious impacts on their physical and mental health,” Ahmed said. “Section 230 was meant to protect companies that act responsibly. Instead, it’s being used to shield companies like Meta who are actively profiting by hurting American seniors.”
Section 230 refers to a federal law that generally gives online platforms legal protection from being treated as the publisher of content posted by users or third parties. CCDH argues that platforms should not be able to rely on that protection when they sell, distribute or profit from allegedly deceptive ads.
What Medicare scam ads mean for you
If you are on Medicare, close to Medicare age or helping a parent manage coverage, treat social media Medicare ads with serious caution. These scams can be hard to spot because they often mix real Medicare concepts with false promises. Some Medicare Advantage plans may offer extra benefits in specific situations. However, scammers can twist that idea into broad claims that everyone on Medicare can get thousands of dollars in grocery money or a card that pays for rent, gas and bills.
That can lead someone to click, answer questions or call a number because they think, “Maybe I qualify.” From there, the risk grows. A person may share personal information, get pushed toward switching plans or make a rushed decision because of a fake deadline. Medicare choices can affect doctors, prescriptions, coverage and out-of-pocket costs. That means you cannot assume an ad is safe just because it appears on a major platform like Meta.
Tips to help spot Medicare scam ads
Before you click on a Medicare ad that promises extra benefits, pause and look for these warning signs.
1) Be careful with “free money” claims
Be skeptical of ads that promise large grocery cards, rent help or monthly spending allowances for everyone on Medicare. Real benefits usually come with eligibility rules and plan-specific details.
2) Watch for fake urgency
Scammers often say you must act today, before midnight or before funds run out. Real Medicare enrollment periods have official dates. A random social media ad should not pressure you into a fast decision.
3) Do not trust celebrity or politician images
CCDH says some scam ads used fake AI-generated endorsements from politicians and celebrities. A familiar face in an ad does not prove the offer is legitimate.
4) Avoid ads that sound like the government
Be cautious when an ad uses official-sounding names, government-style language or phone numbers that claim to be Medicare help centers. Scammers often borrow those cues to seem trustworthy.
NEW FACEBOOK SCAM STARTS WITH MESSAGES FROM A FRIEND
Scam Medicare ads can push users to share personal information, call suspicious numbers or change plans without understanding the risks. (Kurt “CyberGuy” Knutsson)
5) Do not share Medicare or Social Security numbers through an ad
A social media ad should not be the place where you hand over sensitive personal details. Treat any request for Medicare numbers, Social Security numbers or banking information as a major warning sign.
6) Check before changing plans
Before changing Medicare coverage, contact Medicare directly, your plan provider or a trusted licensed advisor. Do not rely on a social media ad as your only source.
7) Talk to older relatives about these ads
Many seniors are embarrassed after clicking a scam ad. Make the conversation normal before anything happens. A quick warning from a family member can help someone pause before sharing information.
8) Use strong antivirus protection before trouble starts
If you accidentally click a suspicious Medicare ad, strong antivirus software can help block malicious links, warn you about dangerous websites and stop malware before it infects your device. It will not decide whether a Medicare offer is legitimate, so you still need to verify any benefit claim directly with Medicare or a trusted licensed advisor. Get my picks for the best 2026 antivirus protection winners for your Windows, Mac, Android & iOS devices at Cyberguy.com
9) Report suspicious Medicare ads
If a Medicare ad looks suspicious, report it on the platform and avoid engaging with it. Save a screenshot, write down the page name or phone number. Then report the scam attempt to Medicare, the FTC and Meta.
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Kurt’s key takeaways
Medicare is confusing on a good day. Add in ads promising grocery money or spending cards and it becomes even harder for you to know what is real. CCDH’s report raises serious questions about how scam ads reached older Americans on Meta’s platforms. Meta says it is fighting scams aggressively, removing millions of ads and building stronger protections. Still, the safest move for you is simple: slow down before clicking. If an ad promises easy money or pushes you to act fast, treat it as a warning sign until you verify it directly.
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Would you trust a Medicare ad on social media, or do platforms need to do far more before these ads reach seniors? Let us know by writing to us at Cyberguy.com.
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
How to watch most of the World Cup matches with free trials

Technology
New Amazon AI search turns words into shoppable images
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You know that shopping moment when you can picture the exact item in your head, but you have no idea what to call it? Maybe you want a dining chair with a curved back. Maybe you are looking for a black dress with sheer sleeves, but you do not know the exact style name. So you type a few vague words, scroll through a wall of products and wonder why online shopping still feels like a guessing game.
Amazon now wants AI to help close that gap. Its newest search feature creates AI-generated images in real time as you type inside the Amazon Shopping app. The idea sounds simple: describe what you see in your head, watch the image change with your words and tap the version that looks closest to what you want.
From there, Amazon shows visually similar products you can actually shop. Here’s how the new search experience works and why it could change the way you browse for clothes, furniture and home finds.
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AI HOME SEARCH COULD CHANGE HOW YOU BUY A HOUSE
Amazon’s visual suggestions help shoppers narrow broad searches by showing style-based image filters as they type. (Serene Lee/SOPA Images/LightRocket)
Amazon brings AI images into the search bar
Amazon says the new feature appears in the search suggestions area of its Shopping app for U.S. customers. It is rolling out on iOS and Android, starting with apparel and home, where looks carry a lot of weight. Amazon says more categories will be added over time.
That makes sense. Visual details can make or break a purchase. A “blue chair” may give you thousands of results. A “blue velvet accent chair with gold legs” gets closer. Add “curved back” or “tufted seat,” and the AI image can shift as your description gets sharper.
Instead of forcing you to know the right design term, Amazon lets you describe the look. Then the app turns that description into a visual cue.
How the new Amazon AI search works
You start by typing into the Amazon search bar the way you normally would. However, this time, Amazon wants you to use more descriptive language.
For example, you might type: “green dress with puff sleeves” or “wood coffee table with rounded edges.”
As you add details, AI-generated images appear below the search bar. Those images update as you refine your wording. When one looks close to what you imagined, you can tap it and shop for products with a similar look.
That last part is important because the AI image itself may not represent a real product listing. It works more like a visual guide. Amazon uses it to understand the style you want, then matches that idea to items in its store.
HOW GOOGLE’S ‘ASK PHOTOS’ USES AI TO FIND THE PICTURES YOU WANT
Amazon’s new AI search creates image suggestions in real time, helping shoppers refine a product idea with more descriptive words. (Amazon)
Here’s how to try Amazon’s AI image search
- Open the Amazon Shopping app on your iPhone or Android phone.
- Tap the search bar.
- Type a visual description of what you want. Include details like color, material, shape, pattern or size.
- Watch the AI-generated images appear in the suggestions area below the search bar.
- Keep adding details until one image looks close to what you had in mind.
- Tap the image to see visually similar products you can shop.
- From there, Amazon uses that visual cue to show products that look similar to your description.
How this could help you shop
The best use case here involves those hard-to-describe purchases. Furniture, clothing, accessories and decor often depend on texture, shape, pattern and color.
Search has always handled exact terms pretty well. Type a brand name or model number, and you usually get somewhere useful. The problem starts when you know the vibe but not the vocabulary.
Amazon’s AI search could help when you want:
- A coastal-looking couch that does not feel too beachy
- Dining chairs with a curved back
- A black dress with sheer sleeves
- Lighting with a woven shade
- Vintage-style rugs that do not look too formal
That could save time, especially for those of you who browse with a mental image instead of a shopping list.
The catch with AI-generated shopping images
There is just one big caution here: AI can create something that looks perfect but may not exist. That could lead to disappointment if the generated image looks better than the real products Amazon surfaces afterward. Shoppers may tap an image expecting an exact match and end up with close-enough results.
So treat the AI image as a sketch, not a product promise. Before you buy, check the actual listing photos, dimensions, materials, reviews and return policy. That extra minute can save you from ordering a “close match” that misses the detail you cared about most.
Amazon is expanding visual search in other ways, too
The new real-time AI image search fits into a larger push by Amazon to make shopping more visual. Amazon Lens already lets you point your phone camera at an item and search for similar products. Lens Live takes that further by scanning items in real time and showing matching products in a swipeable carousel.
You can also add text to an image search. So, if you upload a photo of a beige sofa, you can add a note like “in white” or “smaller size” to narrow the results.
Amazon also offers a “More like this” option on product images. That can help when you like one product’s look but want a different sleeve, length, color or style.
For iPhone users, Amazon Lens can also launch from the lock screen through a widget. That means you can spot something in the real world and search for it faster.
Shop by style adds outfit inspiration
Amazon is also using AI-generated style images in apparel search results. When you search for clothing, you may see “Shop by style” collages tied to looks such as “Urban luxe” or “Soft elegance.”
Tap a collage, and Amazon takes you to a page with shoppable items, similar products and style options you can browse. That makes the experience feel closer to a digital stylist than a basic product search.
It could help those of you who want outfit ideas rather than a single item. However, the same caution applies. Use the AI styling as inspiration, then judge the actual products on their own.
5 E-COMMERCE TECH TERMS EVERY SHOPPER SHOULD KNOW
Amazon’s “Shop by style” feature shows AI-generated outfit ideas in search results, making it easier to browse curated looks. (Amazon)
What this means for you
Amazon wants to make search feel less like typing keywords and more like describing a picture. That could make it easier to find products when you lack the exact name for a style, material or shape. It may also make browsing feel more personal and less frustrating.
Still, AI shopping tools can nudge you toward impulse buys. A polished image may make a product idea feel more appealing before you compare prices or check quality. So use the feature as a starting point, not the final word.
The smartest approach is simple: describe what you want, use the AI image to narrow your search and then slow down before checkout. Look at the real listing, read recent reviews and confirm the details that matter to you.
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Kurt’s key takeaways
Amazon’s new AI search could make online shopping feel more natural for those of you who think visually. Instead of guessing the right product term, you can type what you imagine and let the app build a picture from your words. That could be genuinely useful for home decor and fashion, where small details often decide whether something feels right. At the same time, shoppers should remember that AI images can create expectations that real products may not match. So yes, Amazon’s search bar may soon feel more creative. The bigger question is whether that creativity helps you buy smarter or simply makes you want more.
Would you trust an AI-generated shopping image to guide your next purchase, or would it make you more skeptical before clicking buy? Let us know by writing to us at Cyberguy.com
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Copyright 2026 CyberGuy.com. All rights reserved.
Technology
Amazon security research reportedly led to the White House’s Anthropic Fable ban
According to the Wall Street Journal, the export control directive that led to Anthropic cutting off access to Fable 5 and Mythos 5 was triggered in part by cybersecurity research from Amazon and conversations between CEO Andy Jassy and the White House. According to the report, the paper from Amazon claims that, through a series of prompts, it was able to get Fable 5 to serve up information that could be used in cyberattacks. Amazon has yet to respond to a request for comment.
Shortly after Jassy shared the company’s findings with the government, it made the call to block its use by foreign nationals. Complicating this issue is that many of Anthropic’s researchers are foreign-born, meaning they were barred from accessing their own product.
In a statement, Anthropic disputed the government’s characterization of the issue as a “jailbreak.” It argued that many of the same vulnerabilities could be discovered using other publicly available models, including GPT 5.5. Some security researchers appear to back the company’s interpretation. Katie Moussouris, the founder and CEO of LutaSecurity posted on BlueSky that “I’ve seen the paper. It’s not a jailbreak.” Former Commerce Department official Kate Koren speculated to the WSJ that the White House’s dislike of Anthropic may have influenced the decision.
Anthropic and the Trump administration have been at odds for some time over the company’s refusal to allow its AI to be used for mass surveillance of Americans or to power lethal autonomous weapons. In February, Trump instructed federal agencies to stop using Anthropic’s AI. And just hours later, Secretary of Defense Pete Hegseth designated the company a supply chain risk.
The government and the company seemed to have made amends, and the two had worked together to expand access to Mythos. However, now the two seem destined to clash again.
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