Millions of Americans hand over personal information every day. They share their data with insurance companies, banks, investment apps, and other services they trust.
And that’s exactly why cybercriminals target and impersonate those services.
This week, an insurance provider disclosed a breach reportedly affecting nearly 7 million people’s driver’s license numbers, while a California journalist shared how a convincing fake Robinhood text ultimately cost her more than $70,000.
Here’s what happened, why these scams work, and what you can do to protect yourself This Week in Scams.
Nearly 7 Million Driver’s License Numbers Exposed in Insurance Data Breach
One of the largest U.S. data breaches of the year has exposed sensitive information belonging to 6.9 million people.
According to reporting from TechCrunch, insurance provider AssuranceAmerica confirmed that hackers accessed customer information after compromising an employee account. The company says the stolen data includes names, contact information, driver’s license numbers, insurance policy details, vehicle information, and claims data.
While the company has not said exactly how the employee’s credentials were compromised, it noted that the attackers targeted an employee account before accessing company systems.
Why driver’s license numbers matter
Unlike a password, you can’t simply change your driver’s license number.
Combined with your name, address, phone number, or other information from previous breaches, driver’s license numbers can be used by criminals to:
Open fraudulent accounts
Impersonate victims during identity verification
Make phishing scams more convincing
Support broader identity theft schemes
This is also part of a larger trend. In recent months, multiple breaches have exposed government-issued identity documents as more organizations collect IDs for identity verification and age-check requirements.
If you receive a notice that your information was involved in a breach, monitor your financial accounts closely, consider placing a fraud alert or credit freeze, and remain cautious of unexpected emails, texts, or phone calls referencing your insurance or driver’s license information.
Unfortunately, scammers will reach out saying they’re trying to “help” secure your stolen information, only to try and steal more personal data from you.
How McAfee Can Help Before, During, and After a Data Breach
Before a breach
Personal Data Cleanup helps reduce your digital footprint by removing your personal information from many data broker sites, limiting what scammers can easily find about you.
During a breach
Identity Monitoringalerts you if your personal information appears on the dark web or in known data leaks, helping you respond faster if your information is exposed.
After a breach
Scam Detector helps identify suspicious texts, emails, and links that often follow major breaches, while Web Protection helps block malicious websites designed to steal additional information or credentials.
Fake Robinhood Text Scam Costs Former News Anchor More Than $70,000
Even people who report on scams can become victims.
A former California television news anchor recently shared how she lost more than $70,000 after receiving what appeared to be a legitimate text message claiming there was suspicious activity on her Robinhood investment account.
The message instructed her to call a phone number for assistance. Once connected, the caller posed as Robinhood support before transferring her to a fake “fraud department.”
Believing she was protecting her investments from hackers, she was convinced to move her money into what she thought was a secure account. Instead, it went directly to scammers.
She later contacted Robinhood through the official app, but by then the money had already been transferred.
Why investment scams are becoming more convincing
Investment scams rely on urgency, authority, and impersonation rather than obvious phishing emails.
Rather than asking targets to “invest” immediately, many scams begin by convincing people that their existing account is under attack and immediate action is needed.
At McAfee, we’ve also seen scammers impersonate Robinhood, Charles Schwab, cryptocurrency platforms, and other investment services through fraudulent text messages and malicious links promising AI-powered investing, exclusive bonuses, or unusually high returns.
Whether the message claims your account has been compromised or promises incredible profits, the goal is often the same: get you to click, call, or transfer money before you have time to verify what’s happening.
Investment Safety Checklist
Before responding to any message about your investments:
Never call the phone number provided in a text message or email. Instead, contact your financial institution using the number listed in its official app or website.
Slow down when someone creates urgency. Claims that your account is being hacked or frozen are designed to make you act before you think.
Be skeptical of guaranteed returns or AI-powered investment opportunities. Promises of extraordinary profits are a common hallmark of investment fraud.
Verify alerts through your account directly. If you receive a suspicious notification, log in through the official app, not a link in the message.
How McAfee Can Help
With McAfee+, multiple layers work together before any damage is done:
Scam Detectorflags suspicious texts, emails, links, QR codes, and even deepfake videos before you engage
Secure VPNkeeps your data private, especially on public Wi-Fi
Web Protection helps block risky sites, even if you do accidentally click
Password Manager doesn’t just help you make unique, strong passwords, it keeps them stored and organized for you
Americans submitted more than 1 million reports of imposter scams in 2025, making them the agency’s top fraud category once again. Victims reported more than $3.5 billion in losses, though the real number is likely much higher since many scams go unreported.
But “imposter scam” is a broad category. It doesn’t tell you what these scams actually look like when they land in your inbox, texts, social media DMs, or phone calls.
To better understand what consumers are encountering every day, McAfee surveyed more than 7,500 people for its State of the Scamiverse report. The results show scammers aren’t just pretending to be one type of person or company. They’re impersonating the brands, services, and people we trust most.
This week’s edition of This Week in Scams is here ahead of the holiday weekend with the 10 most common identities scammers pretend to be.
10. Someone Who “Texted the Wrong Number” (20%)
Common scam: An innocent conversation that turns into something more.
These scams often begin with a harmless message intended for “someone else.” Once you reply, the scammer slowly builds trust over days or even weeks before introducing investment opportunities, romance, or requests for money.
Unlike traditional phishing, these scams don’t always include suspicious links.
Why it works: They feel like genuine human conversations rather than obvious scams.
These messages impersonate technology companies or cybersecurity brands, claiming your computer or phone has been infected or involved in a security breach.
Some direct victims to fake technical support, while others encourage downloads of malicious software.
Why it works: Security alerts are designed to grab attention, and convincing impersonation can make fake warnings look legitimate.
Common scam: “Your payment couldn’t be processed.”
Scammers impersonate streaming services, software subscriptions, and other recurring services, warning that your account will be canceled unless you update your payment information.
Why it works: Consumers are used to recurring billing notifications, making these messages blend into everyday digital life.
Common scam: “Your vehicle warranty is about to expire.”
One of the oldest impersonation scams is still one of the most common. Fraudsters claim your warranty is ending and pressure you to purchase coverage immediately or provide personal information.
Why it works: Many people aren’t sure when their warranty expires, making the claim difficult to verify on the spot.
Common scam: Fake invoices for purchases you never made.
Receiving an invoice for an expensive purchase can trigger panic. Scammers count on victims clicking quickly to dispute the charge, often leading them to malicious websites or fake customer support numbers.
Why it works: Consumers naturally want to stop fraudulent purchases as quickly as possible.
Messages claiming there’s a problem with your payment account often direct you to fake login pages designed to steal your username, password, or financial information.
While PayPal is one common example, scammers impersonate many digital payment platforms.
Why it works: Payment notifications are common, and many consumers don’t think twice before signing in to resolve what appears to be a routine issue.
Common scam: “Verify your account or it will be suspended.”
Scammers frequently impersonate platforms like Facebook, Instagram, TikTok, or X, claiming there’s unusual activity or that your account violates community guidelines.
The goal is usually to steal your login credentials or two-factor authentication codes.
Why it works: Many people rely on social media for work, business, or staying connected, making the threat of losing access feel urgent.
Common scam: “Your package couldn’t be delivered.”
Whether you’re waiting for a birthday gift, an online order, or an important package, fake delivery notifications prey on the fact that most people are expecting something to arrive.
These messages often claim there’s a shipping issue, unpaid delivery fee, or missed package and urge you to click a link immediately.
Why it works: Package updates have become part of daily life, making fake notifications feel routine rather than suspicious.
While these scams may look different, they all rely on the same tactic: impersonation.
“AI has lowered the barrier for creating convincing impersonation scams,” said Abhishek Karnik, Head of Threat Research at McAfee.
“Scammers can now produce professional-looking emails, realistic websites, and even convincing voices or videos at scale. The result isn’t necessarily more scam types, it’s far more believable versions of the scams people already encounter every day.”
That mirrors a broader trend McAfee identified in its State of the Scamiverse research: scams are becoming more realistic, more personalized, and harder to distinguish from legitimate communications.
Americans now receive an average of 14 scam messages every day, spend 114 hours each year deciding what’s real and what’s fake, and one in three say they feel less confident spotting scams than they did a year ago.
How to Protect Yourself From Impersonation Scams
If you notice this…
Do this instead
A message creates a sense of urgency (“Your account will be suspended,” “Package delivery failed,” “Fraud detected”)
Pause before acting. Scammers want you to make a quick decision before verifying the message.
You’re asked to click a link or scan a QR code
Open the company’s official website or app yourself instead of using the link in the message.
The message asks you to verify your account, payment information, or identity
Never enter credentials through an unsolicited message. If you’re concerned, contact the company directly using a trusted phone number or website.
Someone asks for passwords, one-time verification codes, or payment over text, email, or phone
Legitimate companies won’t ask for this. Don’t share the information, even if the request seems convincing.
A “wrong number” text quickly becomes unusually friendly or shifts toward investing, crypto, or money
Stop responding and block the sender. Modern scams often begin as seemingly harmless conversations.
How McAfee Can Help
With McAfee+, multiple layers work together before any damage is done:
Scam Detector flags suspicious texts, emails, links, QR codes, and even deepfake videos before you engage
Secure VPN keeps your data private, especially on public Wi-Fi
Web Protection helps block risky sites, even if you do accidentally click
Password Manager doesn’t just help you make unique, strong passwords, it keeps them stored and organized for you
You just got back from a week in Central America. You posted a few shots: the colorful streets of Tulum, a picture of the ancient ruins of Tikal, a close-up of your shrimp tacos. No location tag. No caption naming the city. Just a good photo.
A few days later, you get a message. It references your bank. It mentions suspicious activity “while traveling internationally.” It feels oddly specific, with details about where you were and when. It feels real.
These types of personalized scam messages are a growing tactic. And your own photos may have helped write it.
McAfee Labs set out to understand exactly how much location information exists inside an ordinary travel photo, and what that means for the roughly 244 million Americans who travel each year.
What we found should change the way you think about what you share online: Some AI models have a more than 90% accuracy rate at detecting the location a photo was taken based on the visuals in the photo alone. And critically, that level of accuracy is now achievable using tools that are free and widely accessible.
That’s why we’ve built tools like McAfee’s Scam Detector that are designed to help spot these kinds of highly targeted, convincing messages before they lead to costly mistakes.
What We Tested And Why
The question McAfee Labs wanted to answer was deceptively simple: Can AI look at a travel photo and figure out where it was taken, even without GPS data or location tags?
Not metadata. Not embedded coordinates. Just the image itself: the background, the architecture, the signage, the light; the visual context that any photo naturally captures.
To find out, we built an automated testing pipeline and ran it against a dataset of 21,236 travel images sourced from publicly available image sets. We also conducted a separate, more controlled review of 102 additional images to pressure-test our findings.
We tested two publicly available, large-scale AI vision models that are both freely available. Neither required special access, proprietary data, or advanced technical expertise to run. We used the same tools a scammer could access today.
Each image was analyzed using a consistent automated prompt asking the model to identify the location depicted (city, country, or region) based solely on visual content. Results were then reviewed by human analysts to validate accuracy and flag edge cases.
What We Found: AI Has a Whopping 91% Accuracy Rate
The results were striking.
Gemma3 27B correctly identified the city and country of a travel photo 87% of the time. Qwen3 VL 30B performed even better, reaching 91% accuracy across the same dataset.
That means in roughly 9 out of 10 cases, an AI model that’s available for free, to anyone, could look at an ordinary travel photo and correctly name where it was taken. This kind of analysis is also how AI tools understand images more broadly, shaping not just scams, but how information shows up in AI-powered answers.
And when the exact city wasn’t identified, the country alone was almost always correct. For a scammer, that’s more than enough. It’s also enough to turn a vague, generic scam into one that feels specific, timely, and believable.
What Makes a Photo Easy to Place?
Certain types of images were identified with even higher confidence:
Photos featuring famous landmarks or recognizable skylines
Images taken in popular tourist destinations with distinctive visual signatures
Photos with visible signage, unique street markings, or local architecture
Images that captured cultural context: transportation, storefronts, food stalls
Less recognizable scenery, like a generic beach, a rural road, or a hotel room, lowered accuracy. But even in those cases, country-level identification remained high.
We Tried it. And We Were Spooked.
To illustrate how simple this was to replicate, we moved outside of McAfee’s labs and asked our less-technical colleagues to try it themselves. No research background required. No special tools.
Employees uploaded their own personal travel photos, images pulled straight from their camera rolls and never posted publicly, to ChatGPT, Claude, and Copilot, and simply asked each one to identify where the photo was taken.
The results made people uncomfortable.
Accuracy dropped compared to our controlled lab tests. But not by much. The models still correctly identified country-level location at a rate that would be more than enough for a scammer to craft a convincing, targeted message.
The takeaway isn’t that AI has “seen” your photos somewhere before. It’s that a photograph inherently contains an enormous amount of locating information, in the architecture, the light, the signage, the landscape, simply by virtue of existing in the world. You don’t need to geotag a photo for it to give away where you’ve been.
See It for Yourself
The following section shows real examples of AI geo-location detection in action, using personal travel photos submitted by our research team. No location tags. No metadata. Just the image and what AI found in it.
We started with somewhat recognizable structures in the background, and then tried increasingly more obscure backgrounds, trying to reduce faces and backgrounds to foliage only. This is what happened:
Example 1
Brooke’s honeymoon pictures:This example features a more prominent landmark, helping AI determine the location specifically. When there’s something recognizable, AI really recognizes it, down to giving you the exact spot on the map you’re at, the history of the location, and tourist information.
Here, we see AI correctly state this photo was taken in front of “Temple II, Temple of the Masks.”
Example 2
Sandra’s sunset photo: This example gets moredifficult for AI by removing major landmarks and people. ChatGPT was still able to correctly identify the location as Hastings-on-Hudson.
Example 3
Rob’s close-up shot of flowers: Just the close-up image of these tulips was enough for Claude to accurately detect that this photo was taken at Keukenhof gardens in the Netherlands.
AI was able to identify the location of these flowers in a close up.
How a Photo Becomes a Scam
Knowing where someone is or where they’ve recently been is one of the oldest tricks in a scammer’s playbook. But until recently, getting that information required either knowing the person or getting lucky.
AI removes the guesswork, allowing attackers to build highly specific, contextual scams at scale.
With geo-location inference this accurate, scammers no longer need to cast a wide net and hope a generic phishing message lands. Instead, they can use publicly shared photos to build a believable context around an attack:
“We detected unusual account activity while you were traveling in [city].”
“Your card was flagged for a transaction in [country] — please verify immediately.”
“Hi, we’re reaching out regarding your recent stay at a hotel in [destination].”
“Hi, it’s [your name], I’m in Mexico and all my cards are being declined. Could you send me $$?” (a message targeting your friends or loved ones)
“We noticed a login attempt from your location in [destination] — please confirm your identity.”
“Your reservation in [city] requires reconfirmation — click here to secure your booking.”
This is an example of a scam text detected by our research team. Now, imagine if scammers had more information, like the exact tour you were on, where you were, or the stores you shopped at. These details could make messages like this even more convincing and personalized.
These messages don’t need to be perfectly accurate. They just need to feel plausible and close enough. That is the entire strategy. Familiarity lowers skepticism. Skepticism is what protects you.
This is what turns mass phishing into hyper-personalized phishing at scale, and it’s why even cautious, digitally savvy travelers are getting caught.
The Scammer’s New Workflow
Here’s how straightforward this pipeline can become:
Find publicly shared travel photos on Instagram, Facebook, or X, no hacking required
Run them through a freely available AI vision model
Identify the likely destination, timeframe, and context
Craft a targeted message referencing that location
Send it during or shortly after the travel window, when the victim is most likely to believe it
Steps 1 through 5 can be automated. The whole process scales easily. And the resulting messages feel personal in a way that generic scams never could.
The Broader Scam Landscape Travelers Face
Geo-location inference doesn’t exist in a vacuum. It’s one tool in a growing arsenal that scammers deploy specifically against travelers.
Travelers are operating outside their normal routines, using unfamiliar networks, and making quick financial decisions under time pressure. These behaviors are exactly what make photo-based location inference more actionable for scammers.
New McAfee consumer research found that more than 1 in 3 Americans have encountered a travel-related cyberthreat, and 41% of those impacted lost money, often exceeding $500. At the same time, rising travel costs and time pressure are pushing people toward faster, riskier decisions. Those are exactly the conditions scammers are built to exploit.
The data reveals just how exposed travelers make themselves without realizing it. Nearly two-thirds of Americans connect to public Wi-Fi while traveling (63%), and a similar share scan QR codes without verifying where they lead (62%). Almost half use airport Wi-Fi specifically (49%), and 41% admit to trusting travel-related messages without checking the sender. One in five logs into financial apps while on public networks, and the same group shares travel plans in real time on social media. Twenty percent click travel-related links without verifying the source first. And finally, around 1 in 5 (22%) admit to sharing travel plans in real time.
That last behavior is worth pausing on. Sharing travel plans in real time, on public or semi-public social accounts, is precisely what creates the photo-based location signals this research examines. These behaviors and geo-location exposure are not separate issues. They feed each other.
Location inference is the key that makes all of those existing vulnerabilities more exploitable. A scammer with a rough idea of where you are does not just have a data point. They have a script.
Methodology: How We Conducted This Research
Transparency matters. Here is exactly how this research was conducted.
Dataset: 21,236 travel images that are publicly available for research, plus a separate controlled set of 102 images contributed by McAfee internal volunteers (never previously posted publicly).
Models tested:
Gemma3 27B — a multi-model and vision-language model from Google DeepMind
Qwen3 VL 30B — a multi-model and vision-language model from Alibaba’s Qwen team
It’s important to note that we conducted our testing using large language models running locally on our own computers, rather than through public services such as ChatGPT.
This more closely reflects how an attacker might operate at scale. Running models locally allows unrestricted, automated generation of large volumes of malicious content without relying on a third-party provider.
By contrast, cloud-based AI services typically monitor for abuse and may impose rate limits, suspend accounts, or block requests when they detect activity associated with phishing or other malicious behavior.
Process: An automated Python script submitted each image to both models using a standardized prompt requesting location identification based solely on visual content. No metadata, EXIF data, or file naming conventions were used as inputs. Results were logged programmatically.
Validation: Image labels were pre-assigned prior to analysis. In cases where geographic names or landmarks could reasonably be interpreted in more than one way, a human reviewer compared the pre-labeled locations and model outputs to ensure consistent categorization.
For example, the reviewer determined whether Vatican City should be grouped with Rome and whether “Washington D.C.” and “Washington, D.C.” should be treated as the same location. The reviewer did not alter either the original labels or the model results, but instead applied judgment to reconcile ambiguous naming conventions and edge cases.
Accuracy definition: A result was counted as correct when the model identified the correct city and country. Country-only identification was tracked separately. Both metrics are reported.
What this research does not claim: This research does not suggest that every travel photo will be correctly identified, or that all publicly available AI tools perform at this level. Results varied by image type, landmark density, and geographic region. The point is not perfect identification, it’s that accuracy is high enough, and accessible enough, to enable targeted scams at scale.
About the Consumer Research McAfee commissioned a consumer survey fielded in March 2026 examining travel intentions, travel scam experiences and perceptions, and digital behaviors while traveling. Results referenced here represent a subset of 1,000 U.S. adults over the age of 18. The full study included responses from 6,000 participants across Australia, France, Germany, Japan, the United States, and the United Kingdom.
How to Protect Yourself
Knowing the risk exists is the first step. Here’s what to actually do about it.
Think before you post, especially in real time. The highest-risk window is when you’re still traveling. Posting while you’re in a location gives scammers a live signal. When possible, post after you’ve returned home or delay sharing location-identifiable content by a few days.
Audit your social media privacy settings. Photos shared publicly are the easiest targets. Restricting your posts to people you know significantly limits the pool of images that can be scraped and analyzed.
Be skeptical of urgency tied to your location. If a message references where you’ve been, even correctly, treat that as a red flag, not a credibility signal. Scammers use location familiarity precisely because it feels reassuring.
Go directly to the source. If you receive a message claiming to be from your bank, airline, hotel, or card provider while traveling, don’t click any link in the message. Open a new browser tab and navigate directly to the company’s official website, or call the number on the back of your card.
Use a travel-specific email or alias. Some travelers use a separate email address for bookings, reservations, and travel apps. This limits the cross-referencing scammers can do between your social media presence and your financial accounts.
Trust the skepticism, not the familiarity. Modern scams are designed to feel familiar before they feel suspicious. If something creates a sense of urgency around your financial accounts while you’re traveling, slow down. The pressure itself is the warning sign.
How McAfee Protects You Before, During, and After Travel
As prices rise and decisions happen in real time, it’s easy to prioritize convenience over caution. But that’s exactly the moment when small checks matter most.
Stage of Travel
What’s Happening
How McAfee Helps
Before You Book
Comparing deals, clicking promotions, booking flights and hotels under time pressure
Scam Detector checks links, messages, and booking sites before you click, helping you avoid fake deals and scam listings
During Your Trip
Connecting to public Wi-Fi, scanning QR codes, receiving travel updates and alerts
VPN helps secure your connection on public Wi-Fi, while Scam Detector flags suspicious messages and unsafe links in real time
After Your Trip
Accounts remain active, travel data stored across platforms, potential exposure from breaches
Identity Monitoring alerts you if your personal information appears online, helping you act quickly before damage spreads
With McAfee+ Advanced, multiple layers work together so you’re not left figuring it out after the damage is done.
So you can focus on your trip, and not on whether that notification is a scam.
Final Thought
A travel photo is a memory. It’s also, increasingly, a data point.
That doesn’t mean you should stop sharing your experiences. It means understanding that the same visual richness that makes a great photo is exactly what AI systems are trained to read.
Scammers know this. Now you know how to protect yourself.
This report was produced by McAfee Labs. Research was conducted in 2025–2026 as part of McAfee’s ongoing monitoring of AI-enabled scam vectors.
McAfee Advanced Threat Research has identified an active browser-extension campaign designed to steal cryptocurrency by silently substituting wallet addresses the moment a user initiates a transaction. The campaign is delivered through unsigned installers — observed in both .NET and Golang variants — that deploy a malicious Chromium extension masquerading as a benign “Google Notes” utility.
This campaign is related to a previous blog published by McAfee Labs, Sinkholing CountLoader: Insights into Its Recent Campaign, as the threat actor appears to be the same behind both operations. In that earlier research, we analyzed a crypto clipper payload that was injected directly into memory. Here, we examine a different variant of the final-stage payload: a browser-based malicious extension designed to intercept and manipulate cryptocurrency transactions.
In this report, we detail how the extension operates and provide a technical analysis of the mechanisms that make this threat particularly unique. The extension behaves as a clipboard-aware crypto clipper: it monitors copy-and-paste activity, identifies wallet addresses across multiple blockchains, and swaps them for attacker-controlled addresses just before the victim pastes the content. Because most Blockchain transactions are irreversible, even a single uninterrupted execution is enough to cause permanent financial loss.
Two characteristics elevate this campaign above the typical clipper threat:
Chromium trust-layer abuse.The installer secretly forces a malicious browser extension into Chromium-based browsers like Google Chrome, Brave, and Microsoft Edge by modifying protected browser settings files. Normally, these browsers store security verification data (hash/HMAC values) alongside sensitive settings to detect unauthorized changes.The malware recalculates and updates these security values after tampering with the files, tricking the browser into believing the malicious extension was installed legitimately. This allows the extension to bypass the normal extension web store installation process and load silently without user approval. However for updated Chrome and edge browser, Victim must manually turn on the developer mode for the extension to load properly, but people with outdated versions of chromium based browsers, remain at high risk. Moreover, for latest versions as well threat attacker can employ social engineering tactics to enable developer mode.
Blockchain-resolved command-and-control. The extension does not contain a hardcoded C2 domain. Instead, it queries a public blockchain RPC endpoint, invokes a read-only smart-contract method, and decodes the response at runtime to reveal its active C2 observed at the time of analysis as Zebregts[.]com
This technique, often referred to as “EtherHiding,” complicates takedown efforts because the attacker can rotate infrastructure by updating a smart-contract value rather than redeploying malware.
McAfee telemetry indicates a globally distributed infection footprint with a pronounced concentration in India. The breadth of the geography suggests opportunistic targeting of consumer cryptocurrency users rather than a region-specific operation.
Geographical Prevalence
Our research shows that these are the most affected regions of the globe.
Telemetry analysis indicates thatinfections are globally distributed, with a significantly higher concentration observed in India compared to other regions.
The widespread geographic presence highlights the campaign’s broad reach, suggesting opportunistic targeting rather than a region-specific attack.
The Malicious Extension: “Google Notes”
This malware is masquerading as a seemingly harmless Google Notes extension.
Figure 1. This image shows the malicious extension at the center of this campaign
The dropped extension presents as a minimalist, legitimate-looking note-taking application branded as “Google Notes,” complete with a clean icon and a functional (& simplistic) user interface.
The cover is calculated: a user who manually opens the extension finds something that behaves as advertised, dampening suspicion. The extension’s malicious logic is implemented in background service-worker scripts and content scripts that operate entirely out of view of the UI.
A major red flag first appears when adding the extension, which requests securitypermissions and access that are disproportionate to a typical notes application:
Access to all URLs , granting content-script injection into every site the user visits.
Browsing history access.
Read and write access to the clipboard.
Mitigation and Recommendations
For Consumers
Before confirming any cryptocurrency transaction, visually verify the first and last six characters of the recipient address against the original source — ideally on a separate device. This single habit defeats the overwhelming majority of clipper attacks.
Install browser extensions exclusively from the official Chrome Web Store, Edge Add-ons store, or equivalent. An extension that appears in your installed list without a clear memory of having installed it should be treated as suspicious.
Review the permissions granted to every installed extension. A note-taking tool has no legitimate need for access to all websites, browsing history, or the clipboard.
Avoid running unsigned executables obtained from non-authoritative sources, particularly those offering free or cracked versions of paid software — a common delivery vector for this category of installer.
Keep endpoint protection up to date and enabled; McAfee customers are protected against this specific campaign as described below.
McAfee security solutions help safeguard users at multiple levels:
1. McAfee detects this threat as CryptoStealer.NE and keeps our customers safe
Figure 2. This image shows McAfee Antivirus blocking this threat for consumers.
2. Malicious Download Protection
The installer’s behavior—downloading and executing remote payloads—is flagged and blocked by McAfee before infection completes.All the malicious domains and URLs are blocked by McAfee in our tests.
3. Network Protection
Connections to known malicious infrastructure (C2 servers) are blocked by McAfee, preventing Wallet address retrieval
4. Real-Time Threat Intelligence
Because this threat was identified in McAfee telemetry, protections can be rapidly deployed to:
Block similar variants
Detect related infrastructure
Protect customers globally
How The Threat Campaign Works
What the Malware Does
Installs a browser extension silently (web extension sideloading)
Monitors what you copy and paste (especially crypto addresses)
Works when you are making a crypto transaction
Silently replaces the wallet address with the attacker’s address
Your funds are sent to the attacker instead of the intended recipient
Because cryptocurrency transactions are typically non-reversible, victims may permanently lose funds.
Figure 3. How the extension works in a nutshell
Key Capabilities Identified
1. Silent Extension Installation
The malware does not use the official browser store. Instead, it directly modifies browser files to make the extension appear installed. (Sideloading Browser Extension)
This bypasses normal security prompts and user awareness.
Figure 4. Procmon logs showing BaseZipInstaller (malicious web installer) writing into Chrome and Edge secure preference files
2. Full Browser Access
Figure 5. Chrome extension Permissions requiredFigure 6. Manifest file for web extension
The malicious extension requests excessive permissions such as:
Access to all websites
Reading browsing history
Reading and modifying clipboard content
3. Crypto Address Interception
The extension contains logic to detect wallet addresses across multiple cryptocurrencies, including:
Figure 7. Hardcoded cryptocurrency Regex and fallback address
The fallback wallet addresses shown in the code are not used for every transaction; instead, they serve as a backup mechanism when dynamic address retrieval from the attacker-controlled server fails.
Under normal operation, the extension fetches replacement addresses from a remote server, enabling dynamic and potentially per-victim wallet assignment.
Fallback addresses ensure the attack remains functional even if the command-and-control infrastructure is temporarily unavailable or blocked.
This function is responsible for obtaining the attacker-controlled replacement wallet address corresponding to a victim’s original address.
It sends the intercepted wallet address to the attacker backend and uses the response to dynamically substitute the original address.
If the backend request fails, the function falls back to a predefined hardcoded wallet address, ensuring uninterrupted malicious activity.
3J98t1Wxxxx is the address that was copied in the clipboard
4. Detection evasion and stealth
Figure 8. Settings.js file which shows config
The configuration includes a hardcoded API key, which is used by the extension to authenticate communication with attacker-controlled infrastructure.
An RPC URL pointing to a public blockchain node is leveraged to dynamically resolve backend server information, allowing the attacker to hide critical infrastructure behind decentralized systems.
The presence of a smart contract address and method indicates that the malware retrieves its command-and-control (C2) domain indirectly via blockchain queries, making takedown and tracking more difficult.
Blacklisted domains contains a list of blockchain inspection related websites where the web extension will not work , this is done to not alert the victim while he is trying to paste his own address and view the balance of his wallet or inspect his wallet transactions
Figure 9. Resolving attacker C2 domain via Ethereum smart contract (etherhiding)Figure 10. Request payload with Ethereum contract address
Dynamic analysis revealed that the malware resolves its command-and-control domain via a blockchain smart contract, which returned the domain devops-offensive[.]cc at runtime.
The response from the blockchain is decoded at runtime, revealing the active C2 domain (devops-offensive.cc).
This domain is not hardcoded, enabling the attacker to update infrastructure without modifying the malware.
The resolved domain is cached locally to maintain persistence and reduce repeated network queries.
Figure 11. This image shows the long-encoded string with the malicious domain
This Long–encoded string is decoded using this function to give the final attacker domain.
Figure 12. This image shows the final attacker domain
Persistence and Evasion Techniques
The campaign’s persistence and evasion posture is deliberate and layered. The operator has clearly optimized for two properties: low visibility to the end user, and high resilience against takedown and static analysis.
Persistence
Extension registration through Secure Preferences tampering ensures the extension loads on every subsequent browser launch without requiring any auxiliary Windows persistence mechanism — no registry Run keys, scheduled tasks, or services that endpoint hunters typically inspect.
Developer mode is enabled programmatically where required, allowing unpacked extensions to persist without triggering the periodic “unpacked extensions warning” flow that Chromium displays to dissuade sideloading.
The cached C2 domain allows the extension to continue operating against a known-good backend even if the blockchain RPC endpoint is briefly unavailable.
Evasion
The extension’s visible identity — a simple “Google Notes” note-taking application — provides plausible cover against casual inspection of the installed extensions list.
Recomputed HMAC values satisfy Chromium’s integrity verification, avoiding the “extension installed by an unknown source” warning banner that would otherwise alert the user.
The installer self-deletes after execution, removing the most obvious on-disk indicator of initial compromise.
C2 resolution through a public blockchain means that there is no persistent C2 domain observable in the malware bundle itself; network-based detections built against hardcoded indicators will not fire until the domain is resolved and contacted.
Multi-language installer variants (.NET and Golang) reduce the effectiveness of compile-artifact and binary-feature signatures.
Per-address dynamic wallet substitution means that published attacker addresses age rapidly and do not generalize into durable blocklist entries — the defender must block the backend service itself, not the addresses it dispenses.
Wallet Substitution Logic
The clipper logic sits in two layers: a content-script layer that monitors clipboard activity and DOM input fields across every visited origin, and a background layer that communicates with the attacker backend to retrieve replacement addresses.
When the extension observes a copy event, it applies a set of cryptocurrency-specific regular expressions to the clipboard payload. If a match is found, the intercepted address is transmitted to the attacker’s backend over an authenticated request (authenticated with the API key embedded in the configuration). The backend responds with a replacement address specific to the submitted original, and that replacement is written back to the clipboard, overwriting the legitimate address before the victim can paste.
Testing against a reconstructed backend client — built by re-implementing the extension’s request format and response-decoding logic in Python — produced a revealing behavioural profile:
Bitcoin (BTC), Ethereum, Bitcoin Cash, Ripple, and Dash: Each submitted address is mapped to a unique attacker-controlled address. Re-submitting the same original returns the same replacement, indicating a deterministic one-to-one mapping maintained server-side.
Solana: All submitted addresses collapse to a single attacker address, suggesting the per-victim mapping feature is selectively implemented per chain
Analyzing Attacker Crypto Wallets
Based on the code snippets from the web extension responsible for retrieving replacement addresses, a Python script was prepared to programmatically extract attacker wallet addresses. The payload was crafted using the attacker’s own code, and the “get replacement address” snippet was lifted directly from it. The attacker’s logic for decoding data received from the C2 server was also faithfully reimplemented in the script.
The script was then executed using a few test Bitcoin (BTC) wallet addresses. The results showed that for every Bitcoin address provided, a unique Bitcoin address was returned in response, and all of these returned addresses were valid BTC wallets. This indicates that for every BTC address supplied, the attacker dynamically generates a new wallet tied to that specific input address. Furthermore, when the same address was provided again, the same BTC address was returned — confirming that each victim BTC address is deterministically mapped to a single, specific attacker-controlled address. While some of these attacker wallets contained funds and others were empty, the unknown total number of attacker wallets makes it difficult to put a reliable estimate on how much cryptocurrency has been stolen overall.
The same behavior was observed for Ethereum, where different wallet addresses were returned for each input. Interestingly, when the script was tested with Solana addresses, only a single address was returned regardless of how many different inputs were provided. This suggests that the attacker has implemented the per-address mapping feature only for specific cryptocurrencies, while others fall back to a single static drop wallet. Because the Solana address is shared across all victims, a noticeable bump in its balance is visible. Additionally, one of the Ethereum addresses uncovered was found to be holding approximately 1,902 USD worth of funds.
In summary, the cryptocurrencies for which unique per-victim wallet addresses are generated include Bitcoin, Ethereum, Bitcoin Cash, Ripple, and Dash.
Fig 13. Payload was crafted as attacker codeFig 14. Getting the replacement address code snippet taken from attacker codeFig 15. Attackers’ logic of decoding received data from C2 was also implemented
Running script with few test Bitcoin Wallet addresses
Fig 16. Every unique Bitcoin address was returned and all addresses are valid BTC wallet addressesFig 17. Similarly, Ethereum saw unique addressesFigure 18: Running Script for Test Solana Addresses
Luckily for Solana we are getting only 1 address when given multiple addresses. This shows that the attacker has implemented this address mapping feature only on specific cryptocurrencies
Fig. 19 Here you can see a bump in the balance amountFig 20. The ETH address was found to have 1902 USD
Technical Analysis for .net file (Extension installer)
Fig. 21 BaseZipInstaller is a .NET installer which is unsigned
Fig. 22 Stored Config as seen in Dnspy
The malware embeds a complete configuration JSON directly within the binary, eliminating the need to fetch initial setup data from external sources.
This embedded configuration includes critical details such as API keys, backend server URL, targeted wallet extensions, and the full extension manifest with extensive permissions.
Fig 23: Main function from where execution starts
The installer retrieves and validates a remote ZIP archive (google-services[.]cc/base[.]zip), which serves as the primary payload for deploying the malicious browser extension, marking the transition from initial infection to browser-level compromise.
Fig. 24 The extension is created at the following location in the system with files that are downloaded as base.zip.Fig. 25: Dnspy showing the list of targeted browsers
The installer iterates through multiple Chromium-based browsers, including Chrome, Edge, Opera, and Brave, identifying available user profiles on the system.
For each detected profile, the malware forcibly terminates the browser process to safely modify configuration files without interference.
It then injects the malicious extension by directly modifying Secure Preferences and Preferences, enabling the extension to be loaded without user interaction.
The malware identifies browser installation paths by querying standard system directories, enabling it to locate user data folders for Chrome, Edge, Opera, and Brave.
It systematically enumerates browser profiles and specifically looks for the presence of the Secure Preferences file, which stores critical browser configuration and extension data.
By targeting profiles with Secure Preferences, the malware ensures it modifies only valid browser environments, increasing the reliability of extension injection.
We can see writefile Event on Secure preferences file of chrome and MS Edge , when details of downloaded extension are written to those config filesFig 27 Attacker logic to resign the secure preference files
The malware reads and modifies the browser’s Secure Preferences file, which controls installed extensions and their trust state.
It injects the malicious extension into the configuration and attempts to re-sign the modified data, making the changes appear legitimate to the browser’s integrity checks.
The updated configuration is then written back to disk, ensuring the extension is loaded automatically and persists across browser restarts.
Fig 27B :Extension path is added to chrome secure preferences fileFig 28: Logic to Manipulate defenses of Brave Bowser
For browsers such as Brave and Opera, the malware injects the malicious extension directly into the browser’s configuration by adding entries under the extensions.settings (or extensions.opsettings) section.
It also updates integrity-related fields (protection.macs) to make the injected extension appear trusted by the browser.
Additionally, the malware attempts to enable developer mode programmatically, allowing unpacked extensions to run with fewer restrictions.
Fig 29: Attacker logic to get device ID used to further calculate integrity Values
The malware attempts to recompute browser integrity signatures by generating new MAC (Message Authentication Code) values for the modified Secure Preferences file.
It uses system-specific identifiers, such as the machine SID, combined with a seed value to mimic Chrome’s internal verification mechanism.
By recalculating these integrity checks (macs and super_mac), the malware tries to make its unauthorized modifications appear legitimate to the browser.
Figure 30 Self-Deletion Logic
The malware includes a self-deletion mechanism designed to remove the installer executable after successful execution.
It launches a hidden command prompt process that delays execution briefly before deleting the original file from disk.
Conclusion
This campaign is a concise illustration of where consumer-targeted cryptocurrency theft is heading. The operator has taken the oldest and simplest category of crypto malware — the clipper — and quietly upgraded three of its weakest links. Static attacker addresses have been replaced with a server-side, per-victim mapping. Fragile, hardcoded command-and-control domains have been replaced with a blockchain-resolved lookup that an operator can rotate with a single transaction. And a fragile dropper has been replaced with a Chromium extension that lives inside the user’s most trusted application, loaded under the browser’s own integrity signature.
McAfee will continue to track this campaign and related infrastructure. Our customers are protected by existing detections and will benefit from telemetry-driven updates as new variants and rotated infrastructure are identified.
Maybe it’s a birthday gift. Maybe it’s a purchase from a major shopping event. Maybe it’s something you forgot you ordered three days ago.
Then your phone buzzes.
Your package couldn’t be delivered.There’s a problem with your shipping address.
A small fee is required before delivery can continue.
“Click here immediately.”
The message feels plausible because so many of us are constantly waiting for packages. And scammers know it.
According to McAfee’s State of the Scamiverse report, fake delivery and shipping notices are the single most commonly reported scam consumers encounter today, with 31% of people saying they’ve received one. Americans also receive an average of 14 scam messages every day across texts, email, social media, phone calls, and other channels.
Delivery scams have become one of the internet’s most successful forms of phishing because they exploit something simple: people are already expecting the message.
Here’s how to spot and stop these scams:
What Is a Delivery Scam?
A delivery scam is a fraudulent message that pretends to come from a shipping company, retailer, postal service, or delivery provider.
The goal is usually one of three things:
Steal personal information
Steal financial information
Trick victims into downloading malware or visiting malicious websites
These scams often impersonate organizations such as:
USPS
UPS
FedEx
DHL
Amazon
Royal Mail
Australia Post
Other local or regional delivery services
Most delivery scams arrive through text messages, which is why they’re often called package smishing scams.
What Is Smishing?
Smishing is a type of phishing attack delivered through SMS text messages.
The term combines:
SMS (Short Message Service)
Phishing
Instead of arriving through email, the scam arrives directly on your phone and attempts to create a sense of urgency that encourages immediate action.
Common examples include:
“Your package could not be delivered.”
“Delivery attempt failed.”
“Update your shipping address.”
“Pay a small customs fee.”
“Confirm delivery information.”
McAfee’s Scam Detector lets you know when delivery messages are scams.
Delivery Scam Red Flags and What to Do
If You See This Red Flag
Why It’s Suspicious
What To Do
A package alert when you’re not expecting a delivery
Scammers send messages in bulk hoping someone is waiting for a package
Ignore the message and do not click links
A request to pay a small fee before delivery
Legitimate carriers rarely collect delivery fees through text messages
Visit the carrier’s official website directly
A message claiming your address needs verification
Common tactic used to steal personal information
Check shipment status through your retailer or carrier account
A shortened or unusual link
Scammers often disguise malicious websites
Avoid clicking and manually type the carrier’s website address
Pressure to act immediately
Urgency is designed to override caution
Pause and verify independently
Requests for passwords, payment information, or verification codes
Legitimate carriers will not ask for this through text messages
Delete the message and report it as spam
A delivery app or file download request
May install malware on your device
Never download software from a text message
Accidentally Clicked a Delivery Scam? Do This Immediately
What Happened
What To Do
You only clicked the link
Close the page and do not enter any information
You entered login credentials
Change your password immediately and enable two-factor authentication
You entered payment information
Contact your bank or credit card provider right away
You downloaded a file or app
Delete it and run a security scan
You’re unsure what information was exposed
Monitor accounts closely for unusual activity
How McAfee Can Help
With McAfee+, multiple layers work together before any damage is done:
Scam Detector flags suspicious texts, emails, links, QR codes, and even deepfake videos before you engage
Secure VPN keeps your data private, especially on public Wi-Fi
Web Protection helps block risky sites, even if you do accidentally click helps block risky sites, even if you do accidentally click
Password Manager doesn’t just help you make unique, strong passwords, it keeps them stored and organized for you
The takeaway is simple: some of the biggest threats facing gamers aren’t happening inside games. They’re hiding in the downloads, websites, and tools players use around them.
Let’s start with the GTA breach.
GTA Cheat Service Breach Exposes Nearly 64,000 Users
Atlas Menu, a cheat service for Grand Theft Auto V, was reportedly hacked, exposing data belonging to nearly 64,000 users.
According to reports, the leaked information included:
Email addresses
Usernames
Scrambled passwords
IP addresses
Customer support tickets
The hacker who claimed responsibility later posted the data online.
Why This Matters
Many players think of cheats as harmless tools that unlock special abilities, provide advantages, or simply make games more entertaining.
But unofficial cheat services often operate outside the protections offered by legitimate gaming platforms.
That means users may be:
Sharing personal information with unknown developers
Downloading unverified software
Exposing themselves to malware
Putting gaming accounts at risk
And that brings us to an even bigger threat.
Minecraft Malware Campaign Has Already Infected 116,000 Players
McAfee researchers recently uncovered a large-scale malware operation targeting gamers searching for Minecraft mods, clients, and cheats.
The campaign is called WeedHack.
What Is WeedHack?
WeedHack is a type of Malware-as-a-Service (MaaS).
That means cybercriminals package malware into a subscription service that other attackers can use.
Researchers found that:
More than 116,000 victims have been infected since January
The campaign continues to add roughly 2,000 to 3,000 new victims every day
More than 3,800 malicious files have been identified
More than 240 malicious download URLs have been linked to the operation
Premium versions reportedly cost as little as $5 per month and include tools that allow attackers to remotely access victims’ devices and webcams.
Online Account Cleanup assists in taking down your old, forgotten accounts across the web
Social Privacy Manager helps you monitor and changeprivacy settings across your social platforms in just a few clicks
Together, these protections are designed to address the broader range of online risks people face every day.
Other Scam and Cybersecurity News This Week
Here are some other important headlines to be aware of:
Carnival Data Breach Impacts Nearly 6 Million Customers
Carnival Corporation disclosed a data breach affecting nearly six million customers after a social engineering attack allowed an unauthorized individual to gain access to part of the company’s IT systems.
Exposed information may include:
Names
Addresses
Email addresses
Phone numbers
Dates of birth
Government-issued identification numbers
Affected customers should be alert for phishing emails, fake customer support calls, and identity theft attempts.
Instagram AI Support Tool Exploit Raises Security Questions
Instagram says it has fixed an issue that reportedly allowed attackers to manipulate its AI-powered support chatbot and gain access to other users’ accounts.
According to reports, attackers were allegedly able to influence the account recovery process and associate new email addresses with targeted accounts.
The incident highlights a growing challenge for AI-powered customer support systems: convenience cannot come at the expense of identity verification.
AI Voice Cloning Scams Continue to Surge
Voice cloning scams continue to grow as AI tools make it easier than ever to imitate friends, family members, and coworkers.
According to FBI data cited this week, Americans lost more than $893 million to AI-related scams last year.
These scams included:
Voice cloning attacks
AI-generated phishing emails
Romance scams
Other AI-assisted fraud schemes
If someone calls claiming to be a loved one in distress and urgently requests money, verify the situation through another communication channel before taking action.
McAfee Safety Tips This Week
Whether you’re downloading a Minecraft mod or answering an unexpected phone call, the same rule applies:
Slow down before you click, download, or share information.
Here are a few ways to stay safer:
Download mods, clients, and game tools only from trusted sources.
Be skeptical of download links shared in YouTube comments, Discord servers, or social media posts.
Never disable antivirus software to install a game mod.
Enable multi-factor authentication on gaming, Discord, and email accounts.
Use unique passwords for gaming accounts.
Treat “free cheats,” exclusive hacks, and too-good-to-be-true downloads with caution.
We’ll be back next week with more scams making headlines.
McAfee Labs has discovered a massive, ongoing malware campaign called WeedHack that disguises itself as free Minecraft mods and game clients to infect players’ computers. Since January 2026, it has logged more than 116,000 victim infections, averaging 2,000 to 3,000 new hits every single day.
What makes WeedHack different from most malware is how cheap and easy it is to use.
Typically, a hacker would pay hundreds of dollars per month to access attack tools through underground criminal networks. WeedHack offers a free version to anyone with a Discord account and an internet connection. A premium upgrade, which includes the ability to secretly watch victims through their own webcam, starts at just $5 a month.
This low barrier has attracted a younger crowd of would-be attackers, many of them appear to be teenagers or young adults. Our researchers were startled to discover teens using these tools not just for financial theft, but to harass and bully their peers, a pattern we’ve documented and that makes this campaign especially concerning.
The good news for McAfee users: Web Protection actively blocks the sites distributing WeedHack, and Threat Explainer tells you exactly why a flagged file is dangerous, so you’re never left guessing.
Key Facts at a Glance
What
Details
Campaign name
WeedHack
Active since
January 2026
Total victims logged
116,464+
New infections per day
~2,000–3,000
Malicious files discovered
3,820+ unique files
Malicious download URLs
240+
Free tier available?
Yes. Anyone can sign up
Premium price
Starting at $5/month; $24.99 lifetime
Who is being targeted
Minecraft players worldwide
Most affected country
United States, followed by Germany, India, the UK, Italy, and others
What attackers can access
Once installed, it can steal passwords, hijack accounts, and, for paying customers, it can give the attacker live access to the victim’s screen, webcam, and files.
The financial impact
It can steal Discord tokens, crypto wallet credentials, Minecraft account credentials.
Hackers will hold your information for ransom, requiring a large payment in exchange for your data.
WeedHack is a Malware-as-a-Service (MaaS) campaign, meaning it’s a criminal business that sells hacking tools to customers, the same way a legitimate software company sells subscriptions.
The “product” is malware that gets secretly installed on a victim’s computer when they download what they think is a Minecraft mod or client. Once installed, it can steal passwords, hijack accounts, and, for paying customers, it can give the attacker live access to the victim’s screen, webcam, and files.
The campaign operates a polished, professional-looking dashboard hosted openly on the internet (not the dark web). That dashboard lets customers track their victims, download stolen data, and launch remote access features, all from a browser.
What it looks like to buy a subscription from WeedHack.
The Cyberbullying Problem
One of the most disturbing findings from our investigation is how WeedHack is being used.
While monitoring the campaign’s Telegram channel, which had over850 members during the time of our research, we observed that many customers appear to be teenagers and young adults, and a significant portion are using the remote access tools not for financial gain, but to harass and intimidate other players.
We observed attackers recording victims through their webcams without consent and sharing those recordings in the Telegram channel as trophies. Others used knowledge of victims’ IP addresses and system access to threaten them.
It’s important to note that, at the current time of publishing, the Telegram channel has been taken down, and no replacement channel has appeared. McAfee is continuing to monitor any new channels that may be established by the threat actors for further communication.
Still, what we observed is a form of cyberbullying with unusually invasive tools behind it. If you or your child has been contacted by someone online claiming they have hacked your computer, have your webcam footage, or know your IP address, take it seriously.
What to do if this happens:
Do not follow the attacker’s instructions, it makes things worse
Tell a trusted adult immediately (parent, guardian, school counselor)
Contact your local law enforcement, this may constitute criminal conduct.
Do not engage with the attacker or attempt to negotiate
The Telegram channel uncovered by McAfee.
How Do People Get Infected?
WeedHack spreads in two main ways, and the campaign even provides its customers with step-by-step tutorials on how to carry out both.
1. Fake YouTube Videos
Attackers create convincing YouTube videos reviewing or demonstrating Minecraft clients and mods.
The videos are well-produced, some include voiceover narration, and link to malicious download sites in the description and comments.
One video McAfee identified had over 7,500 views before being flagged. Comments are also sometimes planted by the attackers claiming the files are safe.
2. Fake Mod Websites
WeedHack instructs customers to build convincing-looking websites that mimic official Minecraft mod pages. These sites are deliberately designed to show up high in search engine results for popular mod names, a tactic called SEO poisoning.
Some fake sites include fake security warnings, Discord links, and GitHub references to appear legitimate. In one case, a site warned players to “only download from us,” while actively distributing malware.
Minecraft clients and mods specifically targeted include: Meteor Client, Radium Client, Wurst Client, LiquidBounce, Impact Client, Future Client, and others.
An example of a video hiding a malicious link in the description.
What Happens When You’re Infected?
Infection happens in four stages that happen silently in the background after a victim opens the downloaded file.
Stage 1 – First Contact: The malicious file launches quietly (without showing a console window), connects to a hidden network, and phones home to receive further instructions. It uses a sophisticated technique involving the Ethereum blockchain to locate its command server in a way that’s difficult to block or take down.
Stage 2 – Taking Hold: The malware disables Windows Defender protections, gathers detailed information about the victim’s computer (processor, graphics card, RAM, operating system), and takes a screenshot of their screen. It then steals Discord tokens and browser passwords and cookies. For McAfee users, this is where Web Protection would prevent users from visiting the site, and where our Antivirus would prevent any downloaded malware from taking hold.
Stage 3 – Digging In: The malware installs itself so that it automatically restarts every time the victim logs into their computer. It sets up a hidden scheduled task that runs continuously, even at the highest system privileges.
Stage 4 – Full Access: For premium customers, an additional component is installed that connects the attacker to the victim’s computer in real time. This includes live screen sharing with keyboard and mouse control, webcam access, keylogging (recording every keystroke), a reverse shell (full command-line access to the computer), and the ability to upload or download any files.
A separate component specifically hunts for Telegram credentials and cryptocurrency wallets, sending that data to a different server every five minutes.
Minecraft’s mod ecosystem is enormous and largely unregulated. Kids routinely search YouTube and Google for performance-boosting clients, cosmetic mods, and gameplay cheats, exactly the kinds of things WeedHack exploits.
Here’s a practical guide for families:
Red Flag
Safe Practice
The mod isn’t on the developer’s official website
Only download from CurseForge, Modrinth, or the mod’s verified GitHub
A site or video tells you to disable your antivirus to run the file
Never disable antivirus for a game mod. Legitimate mods don’t ask you to
A site you’ve never heard of claims to be the “only official” source
If you can’t verify the site is official, don’t download from it
Download links are in YouTube comment sections
Treat comment section links as a red flag, always
Your antivirus flags a file as malware, but they try to tell you to ignore it, it’s a “false alarm”
Use McAfee’s Threat Explainer to find out why this is malicious. Don’t disable antivirus
One of the best ways parents can protect their families is with McAfee’s award-winning antivirus and Web Protection, which are specifically designed to detect threats like WeedHack and help block malicious downloads before a device can be compromised.
Are McAfee Users Protected?
McAfee has been actively tracking WeedHack samples and detects this threat under the following signatures:
Trojan:Win/Weedhack.AA through Trojan:Win/Weedhack.AE
McAfee provides multiple layers of protection against threats like WeedHack.
Web Protection helps block access to malicious websites distributing infected Minecraft mods, stopping the threat before a file is ever downloaded.
Award-winning antivirus detects and blocks malware if a malicious file does make it onto your device.
Threat Explainer shows exactly why a file was flagged, helping users understand what happened and avoid similar scams in the future.
Together, these protections help proactively block risky downloads, reactively stop malware, and explain what to watch for next.
McAfee Labs continues to monitor WeedHack and will update coverage as new samples and domains are identified. For the full technical report including indicators of compromise, see the McAfee Labs analysis.
Key Terms Explained
Term
What it means
Malware-as-a-Service (MaaS)
A criminal business model where hackers sell or rent attack tools to other people, just like a software subscription
RAT (Remote Access Trojan)
Malware that gives an attacker remote control over a victim’s device — screen, files, camera, and more
Infostealer
Malware designed to silently collect and transmit passwords, cookies, and account credentials
SEO Poisoning
Manipulating search engine results so a malicious website appears near the top when someone searches for a legitimate product
Minecraft Client/Mod
Third-party software that modifies or enhances the Minecraft game experience. Legitimate ones are common; WeedHack fakes them
Minecraft Session ID
A token that proves you’re logged into Minecraft. Stealing it lets an attacker take over your account without your password
Keylogger
Software that secretly records every key a person types — including passwords, messages, and search queries
Reverse Shell
A connection from the victim’s computer back to the attacker that gives the attacker full command-line control
EtherHiding
A technique that hides a malware’s server address inside the Ethereum blockchain, making it very difficult to block
Discord Token
A credential that lets someone access your Discord account. Stealing it gives attackers full access without needing your password
Minecraft is a 2011 sandbox game developed and published by Mojang Studios. It is the best-selling video game in the world and has sold over 350 million copies worldwide. Its popularity has spanned over a decade due to its versatile gameplay, offering multiple game modes, including one of the most memorable Story Mode in gaming history.
It allows players to create and host multiplayer servers with a variety of gameplay options and offers a wide range of custom launchers, game mods, and cheats to choose from.
Its massive popularity and widespread use of third-party tools have also given rise to a dark side of the Minecraft ecosystem, which is filled with Remote Access Trojans (RATs), credential stealers, keyloggers and other malware threats.
McAfee Labs has recently uncovered a colossal Minecraft-focused Malware-as-a-Service (MaaS) campaign named ‘Weedhack’, that allows threat actors to remotely access and manipulate the victims’ screen, webcam and file system through a dashboard hosted on the clear net, making it easily accessible to anyone with a Discord account and an internet connection.
Key Findings
‘Weedhack’ has been active since January 2026 and masquerades as genuine Minecraft clients and mods to infect users.
We’ve discovered over 3820 unique malicious JAR files that are part of this attack and over 240 URLs responsible for distributing this malware.
This campaign utilizes SEO poisoning and YouTube to generate traffic to these malicious URLs. We also found two YouTube channels and multiple videos that demonstrate Minecraft Mods and Clients and redirect viewers to these URLs.
The campaign has accumulated a total of 116,464 hits, averaging approximately 2000 to 3,000 hits per day.
The campaign provides an enterprise-grade dashboard that allows customers to view stolen credentials and system information, download the payload, configure notifications, access tutorials, and remotely monitor their victims.
This campaign deploys EtherHiding, a technique that uses Ethereum blockchain to fetch its latest C2 domain. The responses are RSA-signed and verified before execution, helping protect the network from campaign takeover attempts.
We’ve uncovered 10 domains that host the next stage payloads and host the malware dashboard for the Weedhack campaign.
We’ve identified 11 domains that hosted similar MaaS campaigns in the past, orchestrated by the same threat actor.
We’ve unearthed the threat actor’s Telegram account and uncovered a Telegram channel for customers, with over 850 members, as of writing this blog.
This campaign offers two service tiers: free and premium.
The free tier includes a comprehensive infostealer capable of targeting Minecraft session IDs and four Minecraft launchers, collecting system information, and stealing cookies and passwords from 36 different browsers. It also targets 56 browser-based crypto wallets and 12 desktop crypto wallets, along with Discord, Steam, and Telegram credentials. It can search for files using 24 different keywords and includes screenshot capture capabilities.
For premium users, with subscriptions starting at $5 per month, it offers additional remote-access capabilities such as webcam access, keylogging, reverse shell execution, screen sharing with keyboard and mouse access, and file management features for uploading and downloading files.
While monitoring the Telegram channel, we found that WeedHack malware is a major catalyst for cyberbullying. Many of its customers appear to be teenagers and young adults and are using remote access capabilities to threaten, harass and monitor their victims, which are around the same age.
Memorial Day weekend officially kicks off summer, and for millions of Americans, that means road trips, flights, cookouts, and a little online shopping for the deals.
Unfortunately, scammers know this. They count on the fact that you’re distracted, you’re moving fast, and you’re probably connected to a network you don’t own.
Here are five scams surging this holiday weekend, what they look like, and how to stay ahead of them.
1. Fake Travel Alerts from “Your Bank” or Hotel
You’re packing your bag when a text arrives: “Unusual activity detected on your account. Verify now to avoid suspension.”
It looks like it’s from your bank, or maybe your hotel loyalty program. There’s a link. There’s urgency. And that’s exactly the point.
These are brand impersonation scams, and they’re a dominant tactic year-round, but they spike around travel holidays when people are actively monitoring reservations and accounts.
Example of a fraudulent AMEX message.
According to McAfee research, trusted brands like banks, airlines, and hotels are among the most commonly impersonated, and email scams impersonating retail and financial brands have surged up to 85% as major holidays approach.
The message will typically ask you to click a link and “confirm your details” to secure your account or honor a reservation. That link leads to a convincing-looking fake site designed to capture your login credentials, payment info, or both.
How to Avoid Travel Alert Scams:
Don’t click links in unsolicited texts or emails.
Go directly to the company’s app or website by typing the URL yourself.
Remember: pressure is a tactic, not customer service.
McAfee’s Scam Detector can flag suspicious messages before you interact with them, whether they come via text, email, or social media.
2. Fake Memorial Day Weekend “Deals”
Memorial Day is one of the biggest shopping weekends of the year. Scammers treat it like an open invitation.
Fraudulent retailers flood social feeds with too-good-to-be-true deals on everything from patio furniture to electronics, often impersonating legitimate brands with copycat websites and paid ads.
According to McAfee’s holiday shopping research, 91% of shoppers see ads from unfamiliar retailers, 37% say they might buy from a brand they don’t recognize, and a full 40% of consumers have abandoned a purchase out of fear that the deal wasn’t real.
The most impersonated brands in McAfee’s research span luxury labels (Coach, Dior, Gucci) to mainstream favorites (Apple, Samsung, Nintendo, Disney), exactly the kind of items that show up in “blowout sale” ads. Fake storefronts have grown significantly, with technology URL scams rising nearly 50%.
Once shoppers enter their payment details on a fraudulent site, that information goes directly to criminals. The average scam loss during the holiday shopping period runs around $840 per victim.
How to Avoid Shopping Scams:
Type retailer URLs directly into your browser instead of clicking through ads or social posts.
Look for HTTPS and double-check the domain carefully before entering any payment info.
If a deal looks unbelievably good, verify it on the retailer’s official app before buying.
McAfee’s Web Protection blocks malicious and suspicious sites before they load, including fake checkout pages.
3. QR Code Scams at Gas Stations and Travel Stops
If you’re road-tripping this weekend, you may scan a QR code somewhere. It could be at the gas pump, a rest stop, a parking meter, or a roadside attraction. Scammers know this too.
Criminals increasingly place fake QR codes over legitimate ones on gas station pumps, parking kiosks, and public signs. When you scan, you’re redirected to a convincing-looking payment or login page that captures your financial information. This is known as “quishing” or phishing via QR code.
McAfee research shows just how widespread this risk has become: 68% of people scanned a QR code in the past three months, and 18% ended up on a suspicious or unsafe page after scanning. Among those who did, more than half took a risky action like entering personal information, installing an app, or connecting a digital wallet.
How to Avoid Sketchy QR Codes:
Before scanning any QR code in public, look closely at the sticker or sign.
If it looks like it’s been placed over something else, skip it.
If you do scan, check the URL before proceeding.
McAfee’s Scam Detector now includes instant QR code safety checks that assess risk before you tap, so you’re not flying blind at the gas pump.
This shows how McAfee blocks unsafe QR codes.
4. Public Wi-Fi Traps at Airports, Hotels, and Coffee Shops
Whether you’re waiting at the airport or grabbing coffee before hitting the highway, free Wi-Fi can feel like a gift. But not every “free Wi-Fi” network is what it appears to be.
Hackers set up what are called “evil twin” networks, hotspots with names designed to look exactly like the legitimate network at the airport, hotel, or café you’re in.
The moment you connect, they can use tools called packet sniffers to capture the data you send and receive: passwords, banking credentials, credit card numbers, email logins.
According to McAfee’s travel research, 63% of travelers connect to public Wi-Fi, and 49% use airport Wi-Fi, making these among the riskiest behaviors travelers engage in without realizing it.
Some of these fake networks go further, presenting a phony login screen that captures your username and password for popular services like Google or Apple before you even realize you’ve been compromised.
How to Avoid Malicious Wi-Fi :
Always confirm the exact Wi-Fi network name with staff before connecting.
Turn off auto-join for Wi-Fi on your devices.
And most importantly: use a VPN.
A VPN creates an encrypted tunnel for your internet traffic, so even if a hacker intercepts it, they’ll only see scrambled data. McAfee’s VPN is included in McAfee+ plans and automatically connects when you join public Wi-Fi, exactly the protection you want when you’re traveling and connecting everywhere.
5. Toll Road and Parking Text Scams (Expect a Surge After the Weekend)
You may have seen these already: a text that says you owe an unpaid toll or parking fee, with a link to pay before penalties kick in. These scams have been circulating for a while, and there’s a good chance Memorial Day weekend is about to make them worse.
Scammers track news cycles and know that millions of Americans will be driving this weekend, many of them through toll roads and unfamiliar areas.
That means they can blast out fake “unpaid toll” texts after the holiday and a significant percentage of recipients will think: “Actually, I did drive somewhere new this weekend.” That uncertainty is exactly what they’re counting on.
Fake court notices threatening parking and toll violations have been making the rounds this spring.
These texts typically impersonate EZPass, SunPass, or state transportation departments and create urgency around a small fee to avoid larger fines. The link leads to a fake payment page designed to steal your credit card details.
How to Avoid Toll Scams:
Don’t click links in unsolicited toll or parking texts.
If you think the charge might be legitimate, go directly to your state’s official toll authority website and look up your account there.
Real toll agencies will not threaten immediate penalties over text with a payment link.
If you receive one of these texts after this weekend, treat it as suspicious by default.
Have a Safe Memorial Day Weekend
Scammers don’t take holidays. If anything, long weekends are peak season. The good news: a little awareness goes a long way. Slow down before you click, verify before you scan, and protect your connection before you log on.
McAfee+ Advanced comes with layered protection across all the moments where scams are most likely to strike, from the gas station to the hotel lobby to your inbox.
You’re comparing airfare on your phone, watching prices climb by the hour, when a deal pops up that feels just good enough to grab. The timer’s ticking. The price looks right. You don’t want to miss it.
You’re comparing airfare on your phone, watching prices climb by the hour, when a deal pops up that feels just good enough to grab. The timer’s ticking. The price looks right. You don’t want to miss it.
That moment, when you’re rushing to lock something in, is exactly where scams thrive.
New McAfee research shows that more than 1 in 3 Americans have encountered a travel-related cyberthreat, and 41% of those impacted lost money, often exceeding $500.
This shows a screenshot of a fake Booking.com website detected by McAfee that was attempting to trick users into running malicious script/code
At the same time, rising travel costs and time pressure are pushing people to make faster, riskier decisions. Those arethe exact conditions scammers rely on.
That’s where protection has toshow up earlier.
McAfee’s Scam Detector lets you check suspicious links, messages, and booking sites before you click, so you can pause and verify instead of giving scammers the edge.
Travel Scams, Red Flags, and How McAfee Protects You
Travel Scam Type
Key Red Flags
How McAfee Helps
Fake travel deals
Prices far below market, pressure to “book now,” sites you’ve never heard of
Scam Detector flags suspicious links and explains why they’re risky, so you can avoid fake deals before you book
Fake booking confirmations
Unexpected messages about bookings you didn’t make, mismatched sender details
Scam Detector analyzes messages before you engage, helping you avoid fake confirmations
Fake airline/hotel websites
Slight URL changes, poor design, being pushed to pay immediately or off-platform
Safe Browsing helps block risky sites before you enter payment details, reducing the chance of fraud
Payment requests outside platforms
Asked to pay via wire transfer, crypto, or direct payment instead of official platforms
Scam Detector flags suspicious payment requests, helping you avoid sending money to scammers
QR code scams
QR codes posted in public with no clear source or context
Scam Detector checks QR links before they open, so you don’t land on malicious sites
Customer service impersonation
Calls or messages asking for login credentials or payment info
Scam Detector detects deepfake AI audio impersonation attempts, helping you avoid sharing sensitive information
AI-generated listings
Photos that look overly polished, details that don’t quite match up
Scam Detector identifies suspicious content patterns, helping you spot listings that aren’t real
Public Wi-Fi attacks
Open networks with no password or security prompts
VPN helps protect your data on public networks, keeping your personal information private
The Findings From Our 2026 Travel Research
McAfee Labs found that many travel scams work because they look familiar and spread fast.
TripAdvisor was the most commonly impersonated travel app, cloned at roughly three times the rate of other major platforms like Kayak, Expedia, and Booking.com.
In some cases, thousands of scam detections traced back to just a handful of fake apps, showing how quickly a convincing scam can take off when travelers are racing to book.
Top 5 Ways Rising Travel Costs Are Driving Risky Decisions
Our 2026 travel survey shows how rising prices and last‑minute pressure are changing traveler behavior, often in ways scammers exploit.
1. Booking faster than usual 90% feel pressure to act quickly
2. Choosing cheaper deals without verifying 32% would book before confirming legitimacy
3. Ignoring red flags 33% admit they’ve done it
4. Trusting messages that look legitimate 41% trust airline/hotel messages without verifying
5. Clicking links without checking the source 20% click first, verify later (or not at all)
The Travel Scams People Are Most Likely to Fall For
According to our consumer survey findings, those who reported falling for a travel scam said these were the methods scammers used to trick them:
1. Fake travel deals or promotions (15%)
2. Scam booking confirmations or updates (15%)
3. Manipulated accommodation listings or photos (15%)
4. Payment requests outside official platforms (11%)
5. Fake vacation rental listings (10%)
6. Fake airline or hotel websites (9%)
7. Customer service impersonation (9%)
8 Ways Travelers Put Themselves at Risk Without Realizing It
These common traveler behaviors are popular avenues for criminals to steal your information, data, and money.
1. Connecting to public Wi-Fi (63%)
2. Scanning QR codes without verifying (62%)
3. Using airport Wi-Fi (49%)
4. Trusting travel-related messages (41%)
5. Logging into financial apps on public Wi-Fi (22%)
6. Sharing travel plans in real time (22%)
7. Clicking travel links without verifying (20%)
8. Using shared/public computers (15%)
How McAfee Protects You Before, During, and After Your Trip
As prices rise and decisions happen in real time, it’s easy to prioritize convenience over caution. But that’s exactly the moment when small checks matter most.
Stage of Travel
What’s Happening
How McAfee Helps
Before You Book
Comparing deals, clicking promotions, booking flights and hotels under time pressure
Scam Detector checks links, messages, and booking sites before you click, helping you avoid fake deals and scam listings
During Your Trip
Connecting to public Wi-Fi, scanning QR codes, receiving travel updates and alerts
VPN helps secure your connection on public Wi-Fi, while Scam Detector flags suspicious messages and unsafe links in real time
After Your Trip
Accounts remain active, travel data stored across platforms, potential exposure from breaches
Identity Monitoring alerts you if your personal information appears online, helping you act quickly before damage spreads
With McAfee+ Advanced, multiple layers work together so you’re not left figuring it out after the damage is done.
Spend more time on your vacation, and less time worrying about scammers who want your vacation fund.
Graduation season should be about launching your career, not dodging scams.
But for many new grads, the job search now comes with a hidden risk: fake recruiters, fraudulent job offers, and convincing messages designed to steal money, personal information, or both.
The threat is larger than many people realize. According to McAfee’s 2026 State of the Scamiverse report, 76% of Americans have encountered a scam, and the average person receives 14 scam messages every day through text, email, and social media. Americans now spend an estimated 114 hours each year trying to figure out what is real online and what is not.
Young adults are among the most heavily targeted groups. Nearly 3 in 10 people ages 18 to 24 (28%) report receiving conversational scams that begin with casual outreach such as “Hey, how are you?” or a “wrong number” text. Those same tactics increasingly appear in fake recruiter messages, LinkedIn outreach, and texts promoting remote job opportunities.
Today’s job scams can look highly professional. Scammers build polished LinkedIn profiles, clone legitimate company websites, and even use AI-generated interviews to appear credible. Many scams unfold quickly, with nearly half completed in less than an hour, creating pressure to act before candidates have time to verify what is real.
That’s where tools like McAfee’s Scam Detector come in—flagging suspicious emails, texts, links, and messages before you engage, so you can tell what’s real before you click.
Here’s how to avoid job scams and stay safe with McAfee:
How Job Scams Actually Work
Step
What Happens
Red Flags
What Scammers Want
1. The Outreach
You’re contacted via email, text, or social media about a job
Then came the shift. He was told he needed to deposit money to continue working and kept paying more to “unlock” earnings that never came.
This type of advance fee scam is increasingly common in job fraud, and it works because it builds trust first.
What the Data Says
Recent graduates are entering the workforce at a time when scams are more sophisticated, more personalized, and harder to spot than ever before. McAfee’s 2026 State of the Scamiverse report highlights why younger job seekers should be especially cautious.
Young Adults Face Higher Risk
Younger adults report the highest rates of repeat scam victimization. McAfee’s research found that scam victims under 35 are more likely than older adults to be targeted again, suggesting that early-career professionals may be especially vulnerable as they navigate job searches, salaries, and onboarding for the first time.
Scam Messages Are Constant
Americans receive 14 scam messages per day on average.
76% of Americans say they have encountered an online scam.
People spend 114 hours per year, nearly three full workweeks, trying to determine what is real and what is fake online.
Professional Platforms Are Not Immune
7% of respondents reported encountering scams on LinkedIn.
44% have replied to suspicious messages that contained no link at all.
Many modern scams begin with a simple message such as “I came across your profile” or “We’d like to discuss an opportunity,” rather than an obviously suspicious URL.
Job Scams Move Fast
The average scam unfolds in just 38 minutes.
Scammers often create urgency by claiming a role is limited, an offer will expire quickly, or onboarding must begin immediately.
AI Makes Fake Recruiters More Convincing
35% of Americans are not confident they can spot deepfake scams.
McAfee predicts job scams will become increasingly personalized as scammers use AI to create tailored outreach, onboarding documents, and contracts that closely match a candidate’s background.
Job Scams Are a Growing Financial Threat
FTC-reported job scam losses rose nearly 40% year over year, increasing from $543 million in 2024 to $752 million in 2025.
For new graduates eager to land their first job, the lesson is simple: if an opportunity seems rushed, asks for money, or feels too good to be true, take a step back and verify before you respond.
Where McAfee Comes In
Job scams don’t just happen in one moment. They unfold in stages—first a message, then a conversation, then a request for information or money.
That’s why protection needs to work the same way: across the entire experience. McAfee’s comprehensive protection helps you stay ahead of job scams at every step:
McAfee+ Advancedgives you multiple layers working together so you are not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
Personal Data Cleanup helps remove your information from data broker sites, making you harder to target in the first place
Scam Detector flags suspicious texts, emails, links, and even deepfake videos before you engage
Safe Browsing helps block risky sites if you do click
Secure VPN keeps your data private, especially on public Wi-Fi
The Biggest Red Flags to Watch For
These patterns show up again and again in job scams:
Red Flag
What It Looks Like
Why It’s a Problem
What to Do Instead
Requests for Sensitive Information Too Early
Asked for your Social Security number, banking info, or ID details early in the process
Scammers use this to steal your identity or access your accounts
Only share sensitive info after accepting a verified job—and through secure onboarding systems
You’re Asked to Pay to Work
Fees for training, equipment, onboarding, or background checks
Legitimate employers don’t charge candidates to get hired
Walk away immediately—this is one of the clearest signs of a scam
The Job Sounds Too Good to Be True
High pay, low hours, minimal experience required, vague responsibilities
Designed to hook attention and lower your guard
Research typical salaries and ask detailed questions about the role
The Hiring Process Moves Too Fast
Immediate job offers or rushed decisions without interviews
Real hiring processes involve multiple steps and evaluations
Be cautious of offers that skip standard hiring steps
No Real Interaction
Communication only via email or chat, refusal to do video or phone calls
Scammers avoid real-time interaction to stay anonymous
Request a video call or verify the recruiter through official company channels
How to Protect Yourself
You don’t need to overcomplicate it. Stick to a few grounded habits:
Verify the company independently: Search the company, check official sites, confirm recruiter identities
Keep communication on trusted platforms: Be cautious with offers coming from unexpected channels
Never pay upfront for a job: That’s a dealbreaker
Pause before sharing personal information: Especially early in the process
Use tools that flag risks automatically: Scam Detector helps catch what looks legitimate, but isn’t
What to Do If You Think It’s a Scam
If something feels off:
Stop communication immediately
Do not send money or personal information
Report the scam to the FTC
Monitor your accounts for suspicious activity
If you’ve already shared sensitive information, act quickly to secure your accounts.
With McAfee’s comprehensive protection, you’re not left to figure it out on your own.
From blocking risky links to monitoring your identity and helping you respond quickly, it’s designed to help you stay one step ahead, and recover faster if needed. Because job searching is stressful enough without scammers, and you deserve to land your next job with confidence.
If you have ever checked your child’s grades online, submitted a college paper through a school portal, downloaded homework assignments, or received messages from a teacher through a classroom app, there is a good chance you have used Canvas, a nationwide learning management system that was just in a massive data breach.
This is exactly the moment McAfee+ Advanced was built for. With our built-in Scam Detector to flag risky links, QR codes, and deepfakes; Identity Monitoring that alerts you when your data appears where it shouldn’t; and Personal Data Cleanup that removes your information from the dark web and data brokers, McAfee+ Advanced is an all-in-one solution for protection after a data breach.
Now let’s get into what you need to know about this breach:
Who Is Behind the Canvas Breach?
The ransomware group ShinyHunters is claiming responsibility for the attack. The group alleges it stole roughly 275 million records tied to nearly 9,000 schools and educational institutions worldwide.
How Did the Canvas Cyberattack Happen?
Instructure, the company behind Canvas, confirmed a cyber incident affecting its cloud-hosted environment. The attackers later posted claims about the breach on their leak site, where ransomware groups pressure organizations into paying by threatening to release stolen data publicly.
What Information Was Stolen in the Canvas Breach?
The stolen data reportedly includes:
Student names
Teacher and staff names
Email addresses
Student IDs
Course and enrollment information
School-related records
ShinyHunters claims the breach exposed roughly 275 million records and more than 231 million unique email addresses.
How Could the Canvas Data Breach Impact Families and Students?
Even if financial information was not exposed, this kind of data can still be extremely valuable to scammers. Criminals can use real school names, real classes, teacher names, and student information to create highly convincing phishing emails, fake school alerts, scholarship scams, tuition scams, or password reset messages.
A scam message referencing your child’s actual school or assignment is much harder to spot as fake.
This is what a Canvas message might look like when forwarded to your email inbox. Hackers claim to have millions of these types of messages.
This is a real message from Canvas from a community college professor after yours truly took an anthropology class for fun during the pandemic. It’s full of links to apply for programs and reach out to professors. It has exact details about courses I’ve taken.
While this correspondence is real, it’s exactly the type of messaging that scammers could fake and replicate, replacing real links with fake “paid” opportunities to pursue degrees.
Now think of the millions of messages and specific scenarios scammers have access to, to create dubious and convincing scams. That’s why protecting yourself after a breach is key.
What To Do Right Now
Here are some actions you can take immediately ot protect yourself after this breach:
Change you or your child’s Canvas password immediately, and update any other accounts where they reuse that password
Turn on multi-factor authentication(2FA) on parent and student accounts wherever the school permits it — Instructure’s own post-incident guidance specifically called out enforcing MFA as a recommended precaution
Ask your school what identity protection is being offered if sensitive data was involved
Consider placing a credit freeze on your or your child’s file to block new accounts from being opened in their name
Avoid clicking links in any messages that reference the breach, go directly to the official site instead
And that, my friends, is issue number one in this week’s This Week in Scams. Let’s get into what else is on our radar in cybersecurity and scam news.
Fake Amazon Recall Texts Are Targeting Shoppers
Your phone buzzes. It’s a text from an unknown number, but the message looks official.
“Dear Amazon Customer, we are writing to inform you that an item from your March 2026 order has been identified for recall.” There’s an order number. A link at the top of the message. A note about quality standards and a refund waiting for you.
It looks real. It has the Amazon logo, the branded formatting, even a reference to the “Amazon Customer Safety Team.” The only thing it doesn’t have? Any connection to Amazon at all.
A photo of a scam recall text I received this week. Luckily Scam Detector flags the link as risky if you try to click.
This is a fake Amazon recall scam, and it is making the rounds right now. The goal is to get you to click that link, which takes you to a site designed to harvest your login credentials, payment information, or both.
If you get a text like this, do not click the link. Go directly to amazon.com in your browser, log in, and check your orders and messages from there. Amazon does not initiate recall or refund processes through unsolicited texts with outside links.
What Is a Fake Amazon Recall Scam And How Does It Work?
A fake Amazon recall scam is a text message or email in which criminals impersonate Amazon to convince you that one of your recent orders has been flagged for a product recall. The message directs you to an external link leading to a phishing site designed to steal your Amazon credentials, credit card details, or personal information.
Red Flags To Watch For
The text comes from an unknown number, not a short code or verified sender
The link goes to a domain that is not amazon.com
The message asks you to complete a refund through an external link
Small typos or awkward phrasing appear in what looks like official communication
The greeting says “Dear Amazon Customer” rather than your actual name
What To Do If You Get One
Do not click the link
Go to amazon.com directly and check your orders and account notifications
Where McAfee Steps In (So You Don’t Have to Guess)
Scams today are layered. A fake email leads to stolen credentials. A breach leads to targeted phishing. And those follow-ups are getting harder to spot.
With McAfee+ Advanced, multiple layers work together so you’re not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
According to McAfee’s 2026 State of the Scamiverse report, Americans now spend 114 hours a year trying to figure out what’s real and what’s fake online. That’s nearly three full workweeks lost to second-guessing messages, alerts, and links.
And when scams do succeed, they move quickly. The typical scam unfolds in about 38 minutes, leaving little room for hesitation.
That creates a gap: People want to check before they act, but the tools haven’t always met them in that moment.
ChatGPT + McAfee is designed to close that gap, bringing scam detection directly to a platform people are already using to ask questions and make decisions.
And it’s available to anyone. You don’t have to be a McAfee subscriber.
This isn’t just detection. It’s guidance in the exact moment you’re deciding what to do.
Instead of guessing, you can paste a message or drop in a screenshot and get a clear explanation of what’s risky, and what to do next, powered by McAfee’s threat intelligence.
What You Can Do with ChatGPT + McAfee
With this integration, checking something suspicious becomes as simple as asking a question.
Paste a message. Drop in a link. Upload a screenshot.
McAfee analyzes it and explains what’s going on clearly and in context.
Here’s how it works:
Feature
What it does
How it protects you
Link safety check
Paste a suspicious URL and get a reputational analysis based on McAfee threat intelligence
Scam links are often designed to look legitimate. A quick check helps avoid phishing and malware
Message analysis
Submit texts, emails, or social messages for evaluation
Many scams now rely on urgency and tone. Analysis helps surface subtle red flags
Screenshot uploads
Upload screenshots of messages, emails, or posts for review
Scams don’t always come as clean text. This makes it easier to check what you’re actually seeing
Clear explanations
Get a breakdown of why something is flagged as risky or safe
Not just a warning—an explanation that helps you recognize patterns next time
Guided next steps
Receive recommendations on what to do next
Helps prevent escalation, especially in moments of uncertainty
It’s a quick, accessible way to get answers in the moment. But it’s just one part of a broader system designed to protect you more comprehensively.
Behind the scenes, ChatGPT + McAfee is powered by the same intelligence that fuels McAfee’s broader scam protection ecosystem.
When you submit something for review:
Links are checked against known threat signals
Messages are analyzed for scam patterns and language cues
Results are translated into clear, human-readable explanations
The goal isn’t just to flag risk. It’s to help you understand it.
A New Way to Stay Ahead of Scams
Scams aren’t slowing down. If anything, they’re becoming more convincing, more personalized, and harder to detect.
That’s where ChatGPT + McAfee comes in. But this is only one part of a much bigger system designed to protect you before, during, and after a scam attempt.
With McAfee+ Advanced, multiple layers work together so you’re not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
Graduating should feel like a fresh start, a time when the whole world is at your fingertips.
Unfortunately, scammers often see graduates and think “student loans.” Or more specifically “student loan scams.”
As student loan payments resume or repayment plans shift, scammers move in fast; posing as loan servicers, promising forgiveness, or offering to “simplify” your loans for a fee.
The tricky part? These messages often look real.
That’s where tools like McAfee’s Scam Detector come in. It flags suspicious emails, texts, links, and even deepfake-style messages, helping you spot what’s real before you click, respond, or pay.
Here’s how to spot these scams and stay safe with McAfee:
What Is a Student Loan Consolidation Scam?
Student loan consolidation itself is a legitimate option. It allows you to combine multiple federal loans into one, often to simplify payments.
Scammers exploit that confusion.
Instead of helping, they pose as government partners or “relief experts” and charge you for services you can do yourself…for free.
According to Federal Student Aid, you never have to pay for help managing or consolidating your federal student loans.
That’s the baseline truth most scams try to blur.
How These Scams Actually Work
Step
What Happens
Red Flags
What Scammers Want
1. The Outreach
You get an email, text, or call about “loan consolidation” or “forgiveness”
Urgent tone, unfamiliar sender, “final notice” language
Your attention and quick reaction
2. The Hook
They claim you qualify for a special program or limited-time offer
“Act now,” “guaranteed forgiveness,” or “new law” claims
Your trust
3. The Ask
They request payment or personal info
Upfront fees, requests for FSA ID or bank info
Money + account access
4. The Control
They may ask for authorization to manage your loans
Power of attorney forms, account takeover steps
Full control of your loan account
Luckily, for McAfee+ Advanced users, they have access to Scam Detector which alerts users to suspicious emails, messages, links, and deepfakes that are often employed by scammers in these student loan fraud scenarios.
The Most Common Lies to Watch For
Scammers tend to recycle the same scripts. Federal Student Aid warns about messages like:
“Act immediately to qualify for student loan forgiveness before the program is discontinued.”
“You’re eligible for total loan discharge. Call now.”
“Your loans are flagged for forgiveness pending verification.”
These messages are designed to create urgency, not clarity.
And importantly, they are notcoming from the U.S. Department of Education or its partners.
Image Courtesy of STUDENTAID.GOV.
Where McAfee’s Scam Detector Comes In
This is exactly the kind of gray-area messaging that trips people up.
Federal Student Aid also recommends reviewing your account activity and confirming no unauthorized changes were made.
The Bottom Line
Student loan consolidation scams don’t look like scams anymore.
They look like helpful emails. Official notices. Last chances.
That’s why protection today isn’t just about knowing the rules, it’s about having backup when something feels off.
With McAfee, you’re not left guessing. You can spot suspicious messages, understand the risks, and move forward with confidence, without handing your time, money, or identity to someone who doesn’t deserve it.
Because starting your post-grad life shouldn’t come with a scam attached.
A new scam making the rounds takes a familiar delivery trick and upgrades it with hyper‑realistic messaging and a QR code that looks safe to scan.
But don’t be fooled.
It’s the same delivery scam playbook scammers have relied on for years, just repackaged with better design and more convincing details.
You get a message with a notice that looks something like this, a real message received by our team and tested against McAfee’s Scam Detector.
This is an example of the scam message we received, impersonating the USPS.
That added layer of realism is what makes this version more dangerous. But it doesn’t hold up under scrutiny. McAfee’s Scam Detector flagged both the suspicious language and the QR code in this message before any interaction.
If you receive something like this, pause. Do not scan the code.
You can also protect yourself with McAfee’s Scam Detector, which flags suspicious links and messages, including delivery scams and QR‑based attacks, and explains why they may be risky.
What is the USPS QR Code Scam and How Does it Work?
The USPS QR code scam is a phishing attempt where scammers impersonate postal services and use QR codes instead of clickable links to direct victims to malicious websites.
Once scanned, the QR code can lead to a fake USPS page that asks for payment, login credentials, or personal information.
How the scam works
Step
What happens
The red flags
What to do
How McAfee helps
1
You receive a text about a delivery issue or missed package
Requests for small “redelivery” or “processing” fees are not normal
Exit immediately and do not submit anything
Scam Detector explains why the page is risky, and Identity Monitoring supports you when if your info gets out.
What To Do If You Get This Message
Do not scan the QR code
Go directly to the official USPS website to check tracking
Delete the message
Report it as spam
Monitor your accounts if you interacted with it
And that, my friends, is scam number one in this week’s This Week in Scams.
Let’s get into what else is on our radar.
A Major Health Data Breach Exposes 500,000 Records
A massive health data incident is raising new concerns about how sensitive information is handled and shared.
According to reporting from the Associated Press, data tied to 500,000 participants in a major U.K. health research project was found listed for sale online. The dataset included biological and health-related information, though it did not contain direct identifiers like names or contact details.
Access to the data had been granted to research institutions, but that access has since been revoked. Authorities say no purchases were made, and the listing has been removed.
Still, the situation highlights a growing reality: once data is accessed or shared, control over it becomes harder to guarantee.
What This Breach Says About Data Privacy
Scams are no longer isolated events. They are layered.
A data breach does not just stay a breach. It becomes fuel for future scams. Exposed information can be used to make phishing messages more convincing, personalize attacks, and build trust with targets.
That is why detection alone is not enough anymore. Protection has to account for both incoming threats and what happens when data is already out there.
How McAfee Protects You In A World of Scams and Data Breaches
McAfee+ Advanced gives you multiple layers working together so you are not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
Personal Data Cleanup helps remove your information from data broker sites, making you harder to target in the first place
Scam Detector flags suspicious texts, emails, links, and even deepfake videos before you engage
Safe Browsing helps block risky sites if you do click
For many families around the world, the digital spaces where children learn and play have also become venues for relentless harassment. According to a 2025 survey of nearly 3,500 U.S. teens by the Cyberbullying Research Center, about 58% have been cyberbullied at least once, a significant jump from 34% in 2016.
Experts warn that this issue is now a constant crisis and impacting the well-being of children and teens.
In this guide, we will clarify exactly what counts as cyberbullying. We will explore how new platforms and artificial intelligence are reshaping the landscape. Most importantly, we will provide you with practical steps to protect your family. Together, we can take actionable steps to keep our digital lives safe and positive.
What Is Cyberbullying?
Cyberbullying is not a vague term for online drama. It has specific characteristics that separate it from a simple disagreement between friends. Similar to bullying, cyberbullying has standard elements of unwanted aggressive behavior, an observed or perceived power imbalance, and behavior that is repeated or likely to be repeated.
Common cyberbullying behaviors include name-calling, severe insults, rumor spreading, direct threats, impersonation through fake accounts, intentional exclusion from group chats, non-consensual sharing of private photos, and doxxing, publishing someone’s private information like their home address or phone number without consent. We also frequently see pile-on attacks, where dozens or hundreds of users flood a person’s comments section with hate statements.
The Cyberbullying Research Center notes that in recent national surveys, about 26.5% of U.S. students reported being cyberbullied in the last 30 days, underscoring the ongoing nature of online harassment as a daily reality for many.
Why Cyberbullying is Different (and More Harmful)
While the core intent to harm is the same as traditional bullying, cyberbullying operates differently:
Platform: Bullying takes place in the physical world, while cyberbullying occurs in digital spaces such as text messages, direct messages, social media platforms, group chats, online gaming environments, email, and photo-sharing applications.
Anonymity: Another major difference is anonymity. Cyberbullies often hide behind fake profiles or anonymous accounts, making it difficult to know who is launching the attacks.
Constancy: A significant difference with cyberbullying is the constant nature of the internet. Online harassment can follow teens home and continue late into the night via phones and apps.
Audience and permanence: A hurtful comment made in a school hallway is heard by a few people and eventually fades, while a similar post online can spread to thousands of people in minutes. It can be screen-captured and may resurface years later. Once it is out there, it is incredibly difficult to remove.
Despite these differences, there is a strong overlap in how bullying and cyberbullying impact individuals. Many youths who are bullied online are also bullied at school, and experience anxiety or depression.
Types and Examples of Cyberbullying
Cyberbullying takes many forms, from classic harassment tactics to emerging AI-powered threats. The most frequently reported forms of cyberbullying include being excluded from group chats, mean or hurtful comments posted online, public embarrassment or humiliation, and rumors spread online, according to the Cyberbullying Research Center’s 2025 survey. Understanding these methods helps you recognize and stop them.
Common Cyberbullying Methods
Harassment: Sending repeated offensive messages through texts, direct messages, or comments, or intentionally leaving someone out of group chats and online activities where they can see what they’re missing.
Flaming: An online fight conducted through angry, vulgar exchanges via emails, messages, social media, or chat rooms. Unlike harassment, flaming is often a heated back-and-forth exchange rather than one-sided attacks.
Impersonation and Fake Accounts: Creating fake profiles or hacking into someone’s account to post damaging content as if the victim wrote it themselves, destroying reputations quickly
Outing and Doxing: Sharing private photos, messages, or personal information (like addresses or phone numbers) publicly without consent to embarrass, humiliate, or intimidate
Cyberstalking: Persistent online monitoring accompanied by threatening messages that make someone fear for their safety, which is a federal crime. Examples include tracking someone’s location through social media check-ins, obsessively monitoring their online activity, or sending relentless, threatening messages.
Where Cyberbullying Occurs Most
To protect our kids, we need to know where the risks are highest. Recent analyses find that cyberbullying mainly happens on social media platforms, including YouTube, TikTok, and Facebook, as well as in messaging apps and online games, where teens commonly interact.
If you are a parent, take an inventory of the apps your child uses most frequently and ask them to show you how the messaging and commenting features work. Familiarizing yourself with these digital environments will help them navigate these platforms safely.
Emerging AI-Driven Threats
Artificial intelligence (AI) has fundamentally changed the internet, and has, unfortunately, introduced alarming new tactics:
Deepfake Images and Videos: AI-generated content can be misused to create highly realistic images or videos called deepfakes. Entirely fake videos can be created showing a student doing or saying something they never did, which complicates evidence gathering. These are then shared in group chats or posted publicly to spread false narratives and destroy reputations.
Voice Cloning: Students are using AI to mimic classmates’ voices, generating audio that makes someone sound like they said something offensive or embarrassing, with no easy way to prove it wasn’t real. About 11% of U.S. high schoolers have experienced this.
AI-Generated Harassment: AI chatbots are being used to generate spam, threats, and hate speech at scale, flooding a victim’s inbox or comment sections across platforms.
Body-Shaming with AI Filters: AI-altered images and filters are being weaponized to body-shame and humiliate targets, often shared widely before victims can respond.
AI Can Also Be a Safety Tool
However, platforms have also begun using AI as a safety tool to detect hate speech, harassment, and predatory behavior in real time. Newer safety reports show that AI-driven comment filtering and think-before-you-post nudges successfully reduce toxic comments and repeat harassment on major platforms.
How Common Is Cyberbullying Today?
The statistics show that cyberbullying is a widespread issue requiring immediate attention. In a 2024 study, the World Health Organization revealed that 15% of surveyed adolescents have experienced cyberbullying.
In the U.S., the Centers for Disease Control and Prevention (CDC) Youth Risk Behavior Survey reports that 16% of high school students were electronically bullied in the previous 12 months, about 38.3% of whom were girls compared to 29.9% of boys.
Another study showed that about 53.9% of teens aged 13 to 17 reported being cyberbullied. These statistics demonstrate that cyberbullying is a mainstream experience, making digital safety education relevant to almost every family.
The Most Affected Groups
Aside from gender, identity plays a key role in who is targeted for cyberbullying. Gender minorities reported much higher rates of harassment at 47.1% compared with their heterosexual peers at 30%, as did students with developmental disabilities.
How Cyberbullying Affects Mental Health
There is evidence that online harassment causes profound psychological harm. A CDC report links frequent social media use with higher rates of both in-person and cyberbullying, as well as constant sadness, hopelessness, and suicidal thinking among teens.
This is supported by the 2025 announcement from mental health experts highlighting the connection between cyberbullying and increased anxiety, depression, and trauma-like symptoms. Even though incidents seem minor, parents and teens must acknowledge that emotional reactions to cyberbullying are valid and serious. Early support and intervention can significantly reduce long-term harm.
Platform Safety Updates for Teens
Social media companies are facing intense pressure to protect younger users, leading to significant updates. In 2025, Meta tightened default messaging and commenting settings for teens, automatically assigning the strictest safety options to teen accounts to filter inappropriate interactions from unknown users.
In addition, the company’s Instagram and Facebook platforms now provide more information about users contacting teens, showing details such as the age of the account and providing a way to block and report abusive users.
Help your child utilize these settings by ensuring their accounts are set to private to restrict direct messages from strangers. Enable each platform’s built-in AI comment filtering to hide offensive words automatically.
Signs Your Child May Be Cyberbullied
As a parent, one of your most powerful tools is simply paying attention. Cyberbullying often leaves visible traces in your child’s behavior, emotions, and device habits, if you know what to look for. The good news is that early recognition means early intervention, and that can make all the difference.
Behavioral Changes to Watch For
Sudden withdrawal from social activities or friends
Reluctance to go to school or participate in usual activities
Anxiety or nervousness when using devices or checking messages
Changes in sleep patterns or appetite
Emotional Warning Signs
Increased sadness, anxiety, or irritability, especially after being online
Low self-esteem or negative self-talk (“nobody likes me,” “I’m stupid”)
Reluctance to discuss online activities or what’s happening at school
Device and Online Behavior
Extreme changes in screen time, either excessive checking or complete avoidance
Suddenly deleting social media accounts without explanation
Being secretive about online activity or quickly hiding screens
Receiving unusual volumes of messages or calls, especially at odd hours
If you notice several of these signs together, it’s time for a conversation. The key is approaching with empathy and making it clear they won’t be punished for opening up.
How to Prevent Cyberbullying: Guidance for Families
Knowing the impact of cyberbullying is only half the battle. The most important step is being proactive to protect your family. Here is how you can build a resilient defense against online harassment and empower your children.
Build Open Communication and Digital Citizenship Skills
The foundation of digital safety is trust. Encourage regular, judgment-free check-ins on your child’s online activities. Ask them what they are doing, seeing, and feeling related to the ongoing online issues. Assure them you will not confiscate their phone when they report a problem.
In addition, teach your kids to recognize cyberbullying and to support their peers who are being targeted. Underscore the importance of not joining in on the comment pile-ons, and let them know that it is perfectly acceptable to block, mute, or simply leave harmful digital spaces. Research suggests that strong parent-teen communication can buffer some negative effects of social media use and encourage teens to ask for help sooner.
Enable Safety Settings
Every major platform has tools designed to stop harassment. Teach your child to use keyword filters to automatically hide comments that contain specific insults, slurs, and other forms of hate speech. Help them set their accounts to private to restrict direct messages from strangers, and enable each platform’s built-in AI comment-filtering features.
How to Report Cyberbullying
Alongside safety features, teach them to block and report harassers on the platform. You can end cyberbullying quickly if you know how to use platforms’ tools effectively.
1. Document Everything First
Before blocking, deleting, or reporting anything, save evidence. Create a digital safety plan and agree with your family that if anyone receives a threatening or highly abusive message, they should document the incident with screenshots before blocking, deleting, or responding to it. These screenshots will serve as important pieces of evidence if the school or platforms need to take action.
2. Use Platform Reporting Tools
Most importantly, teach your child to block and report harassers on the platform. Here’s how on major platforms:
Instagram, Facebook, and Threads:
Tap the three dots on the post or message
Select “Report” and choose the violation type (bullying or harassment)
Follow prompts to block the account
Use “Restrict” to limit interactions without full blocking
TikTok:
Long-press the comment or video
Select “Report” and choose “Bullying and harassment”
Block the account from their profile page
Snapchat:
Press and hold on the message or username
Tap “Report” and select the issue
Block the user to prevent further contact
YouTube:
Click the three dots next to the comment or video
Select “Report” and choose “Cyberbullying or harassment”
Gaming Platforms (Xbox, PlayStation, Discord, and Roblox)
Use in-game or platform reporting options, typically found in user profiles or chat menus
Many platforms now offer real-time abuse detection that automatically flags harassment
Text Messages:
Block the number through your phone settings
Report spam to your carrier (forward to 7726/SPAM for most U.S. carriers)
Save screenshots before blocking
3. Escalate for More Help
Sometimes, platform tools are not enough. You need to know when to escalate the situation to the appropriate authorities. Follow the steps below when you see signs of ongoing harassment, physical threats, identity-based or other forms of hate, the sharing of private images, as well as changes in your child’s mood, sleep patterns, or school attendance.
Save all evidence, including screenshots, URLs, usernames, and timestamps.
Contact school officials, such as a counselor or principal, and provide them with specific documentation.
Seek professional mental health support to address your child’s distress.
Contact local law enforcement immediately if there are threats of physical harm or illegal content involved.
How Technology Can Help Prevent Cyberbullying
While technology is the medium for cyberbullying, it is also a tool for prevention and protection. Using the right software can give parents peace of mind and help teens navigate the web.
Device-Level Protection and Parental Controls
Cyberbullying is frequently accompanied by other digital threats, such as sending malicious links, stealing passwords, or tricking victims into downloading scam apps. This is where robust security software becomes essential to help block phishing links and compromised websites.
Additionally, parental control tools allow you to manage screen time, filter inappropriate web content, and monitor or limit certain types of app usage for age-appropriate scenarios. These tools help protect younger children from platforms they are not emotionally ready to handle.
Digital Well-Being Tools that Signal Distress
Modern security solutions offer digital well-being tools that track app usage and highlight sudden changes in behavior, such as late-night device use, massive spikes in messaging, or the sudden downloading of new, unfamiliar apps. These changes can be early warning signs of distress or harassment.
It is crucial to use these tools transparently by introducing them to your teens as conversation starters rather than secret surveillance. Saying that you noticed they were on their phone very late last night and asking if everything is okay builds trust. Spying breaks it.
Legal Grounds to Deal with Cyberbullying
Cyberbullying is not just a behavioral issue. It intersects heavily with school policies, community safety, and the law. Understanding this context will help your family deal with severe harassment.
Laws and School Responsibilities
Globally, many countries are adopting frameworks to protect digital citizens against cyberbullying. In the United States, all 50 states have anti-bullying laws, most of which now explicitly include electronic or cyberbullying in their definitions and guidance. These include laws and district policies that allow schools to address online behavior that creates a hostile environment or substantially disrupts a student’s learning. This means that even if the harassment happens on a weekend via a smartphone, the school has the authority and the responsibility to intervene if it impacts the victim’s ability to feel safe in the classroom.
Cyberbullying as a Crime
Certain cruel online behaviors may cross the line into criminal activity and to be considered crimes. For instance, credible threats of violence, stalking, extortion, hate-motivated harassment, and the non-consensual sharing of intimate images may violate criminal laws.
If a situation escalates to this level, it is time for legal and law enforcement to intervene. When this happens, families should document all evidence and consider contacting law enforcement or civil rights agencies.
Look up your local school district’s specific cyberbullying policies and legal obligations, and find out who to contact. This will save you valuable time if you need to report an incident.
Final Thoughts
Cyberbullying is intentional, repeated online harm, and a serious issue that leverages the constant nature of the internet to follow young children, teens, and certain groups into their homes and bedrooms.
While social media platforms, school policies, and laws are steadily improving, families still hold the most powerful tools. You can significantly reduce the harm to your children caused by online harassment by initiating open and non-judgmental conversations, utilizing built-in device protections and app privacy settings, partnering with your local schools, and seeking mental health support when needed.
Talk with your kids this week about their online experiences. Sit down together and review the safety and privacy settings on their favorite apps. Finally, consider using a trusted security partner such as McAfee+ as part of a broader, proactive digital safety plan.
A McAfee+ family plan helps protect your household’s devices from the malware and malicious links that often accompany harassment or sextortion attempts and sets healthy boundaries around apps, web content, and screen time. Furthermore, it provides educational resources on digital citizenship and safe social media use beyond basic antivirus software.
When you work with trusted tools, you can help keep the internet a place of connection and creativity.
Your data might be safe today. But that doesn’t mean it’s safe forever.
A growing number of sophisticated actors are collecting encrypted data now, with the goal of decrypting it later, when more powerful technology becomes available.
This strategy is known as Harvest Now, Decrypt Later (HNDL). And it’s not a future problem. It’s already happening, according to research from our McAfee VPN team.
For everyday people, that means private messages, financial records, and sensitive documents could be exposed years from now if protections don’t evolve today.
That’s why security teams, including McAfee’s VPN engineers, are already working on ways to strengthen encryption for both today and what comes next.
What “Harvest Now, Decrypt Later” Means
At its core, HNDL is simple: Attackers collect encrypted data now, store it, and wait until they have the tools to unlock it later.
Even though today’s encryption is incredibly strong, the strategy doesn’t rely on breaking it today. It relies on patience.
A Simple Way to Think About It
You put valuable belongings and documents in a safe at home that’s locked and secured. This works at preventing crimes of opportunity. But let’s say there’s a thief who steals the entire safe, knowing they have tools they can use later to access what’s inside. They wait, and once the tools are available, they break into your safe and access everything inside.
That’s one way to think of HNDL. The safe is the encryption. The quantum computing is the tool they can use later.
But in real life, you’d probably notice if your safe is gone. In the case of HNDL, if you’re not monitoring your data, you may not even notice encrypted information has been stolen to be decrypted.
Key Terms Explained
Term
What it means
Encryption
Scrambling data so others can’t read it
Quantum computing
A new type of computing that can break some encryption
HNDL
A strategy to collect encrypted data now and decrypt it later
Why This Matters Right Now
This isn’t about whether your data is valuable today. It’s about whether it might be valuable later.
Data with a long shelf life is especially at risk, including:
Financial records
Medical information
Private messages
Legal or identity documents
Even something that feels low-stakes today could become sensitive in the future.
And because the collection phase is already happening, the risk isn’t hypothetical. It’s already in motion.
How This Affects VPNs (and what doesn’t change)
VPNs remain one of the most effective ways to protect your data today. That hasn’t changed.
But HNDL introduces a new layer of complexity.
What’s still strong: The encryption that protects your data in transit remains highly resilient.
Where the risk is: The “handshake” process (how a secure connection is established) is more vulnerable to future quantum attacks.
In simple terms: Your data is well protected today, but parts of how that protection is set up may need to evolve for the future.
What Quantum Computing Changes
Traditional computers process information in a linear way.
Quantum computers work differently. They can solve certain types of problems much faster, including the kinds of mathematical challenges that protect today’s encryption.
That’s why attackers are willing to wait.
Once quantum computing reaches a certain level, it could unlock data that was previously considered secure.
What McAfee’s VPN Team is Working On
McAfee’s VPN team is already preparing for this shift.
Evaluating quantum-safe encryption approaches
Exploring hybrid models that protect both now and long-term
Building toward a more resilient VPN experience
This work builds on a broader privacy-by-design approach, where systems are designed to minimize risk from the start, not react after the fact.
Because with HNDL, waiting isn’t an option.
What You Can Do Now
You don’t need to wait for quantum computing to take steps today.
Use a trusted VPN to encrypt your connection
Be mindful of long-term sensitive data you share online
Avoid unsecured public Wi-Fi when possible
Keep your apps and devices updated
These steps help protect your data now while the industry builds toward future-ready security.
How McAfee Helps Protect You
McAfee+ Advanced gives you multiple layers working together so you are not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
Personal Data Cleanup helps remove your information from data broker sites, making you harder to target in the first place
Scam Detector flags suspicious texts, emails, links, and even deepfake videos before you engage
Safe Browsing helps block risky sites if you do click
Secure VPN keeps your data private, especially on public Wi-Fi
Frequently Asked Questions (FAQs)
FAQ
Q: Is my data safe right now?
A: In most cases, yes—today’s encryption is extremely strong and is designed to protect your data from current threats. If you’re using trusted security tools like a VPN, safe browsing protections, and device security, your data is actively protected while it’s in transit and in use. However, no system is risk-free. Data exposed through phishing, weak passwords, breaches, or unsecured networks may still be vulnerable. And with “Harvest Now, Decrypt Later,” even properly encrypted data could be collected today and targeted for decryption in the future.
Q: What is quantum-safe encryption?
A: Quantum-safe (or post-quantum) encryption refers to new types of cryptography designed to remain secure even against future quantum computers. Today’s encryption relies on math problems that are extremely difficult for classical computers to solve, but quantum computers could eventually solve some of them much faster. Quantum-safe approaches use different mathematical foundations that are believed to resist those capabilities. In practice, many companies are moving toward hybrid encryption, combining today’s proven methods with newer quantum-resistant techniques to protect data both now and long-term.
Q: Should I still use a VPN?
A: Yes. A VPN remains one of the most effective ways to protect your data today, especially on public or unsecured networks. It encrypts your internet traffic and helps prevent interception by hackers, internet providers, or other third parties. While VPN protocols are evolving to address future quantum risks, they still provide strong, essential protection against today’s threats.
Q: When will this become a real threat?
A: The risk unfolds in two phases. The collection phase is already happening today, where sophisticated actors gather encrypted data and store it. The decryption phase depends on when quantum computing advances far enough to break certain types of encryption, which could take years but is actively progressing. This means data with a long lifespan, such as financial records, personal communications, and sensitive documents, is most at risk because it only needs to remain valuable until those capabilities exist.
You open your inbox and see it: Your cloud storage is full.
There’s a warning about photos being deleted, your account being suspended, or a renewal failing. There’s a button to “fix it now.” Or a warning to “act today.”
It looks routine. Maybe even urgent enough to click.
That’s exactly the point.
An example of a cloud storage scam detected by McAfee.
Cloud storage scams are making headlines again, building on patterns we flagged earlier this year in our State of the Scamiverse research.
These emails have circulated steadily since 2025, often impersonating trusted brands like Apple, Microsoft, and Google. Many are timed to moments when people are already thinking about storage, backups, or subscriptions.
The safest move is simple: pause and don’t click. If there’s a real issue, go directly to your account through the official app or website.
You can also protect yourself with McAfee’s Scam Detector, which flags suspicious links and messages, including cloud storage scams, and explains why they may be risky.
What Is A Cloud Storage Scam And How Does It Work?
Cloud storage scams are phishing attacks designed to trick you into believing there’s an issue with your account so you’ll click a malicious link.
They often look like this, and include 3 key red flags:
Messages that create urgency like “act now or lose your data”
Generic greetings instead of your name
Links that don’t match the official domain
How the scam works (step-by-step)
Step
What happens
What to do
How McAfee helps
1. You receive a message
Email or text claims your storage is full or your account has an issue
Don’t click links directly from the message
Scam Detector flags suspicious messages before you interact
2. Urgency is introduced
Warning that files or photos will be deleted if you don’t act
Investment-related fraud topped the charts, with over $8.5 billion lost to investment cybercrime in 2025. And that’s just losses that were reported. Not everyone reports when they were scammed. (Image Courtesy FBI)
This is where layered protection matters. It’s not just about catching one bad link. It’s about recognizing patterns across messages, platforms, and moments when something feels slightly off.
How McAfee Protects You From Scams and Cyber Threats
McAfee+ Advanced gives you multiple layers working together so you are not left figuring it out after the damage is done:
Identity Monitoring alerts you if your personal info shows up where it should not, so you can act fast
Personal Data Cleanup helps remove your information from data broker sites, making you harder to target in the first place
Scam Detector flags suspicious texts, emails, links, and even deepfake videos before you engage
Safe Browsing helps block risky sites if you do click
Wearable health devices are designed to give you more control over your body and your data.
But in 2026, the bigger risk isn’t someone spying on your smartwatch or smartring in real time. It’s what happens if the data connected to that device gets exposed.
Health data, login credentials, and behavioral patterns tied to wearables can become valuable signals for cybercriminals. And once that data is out, it can fuel everything from identity theft to highly targeted scams.
Here’s what’s actually at risk, and how to protect yourself.
What Is Wearable Health Data (and Why It Matters)
Wearable health data refers to the personal information collected and stored by devices like fitness trackers, smartwatches, and connected medical monitors.
This can include:
Heart rate and activity levels
Sleep patterns
Location data
Medical metrics (like glucose levels)
Account credentials tied to apps and dashboards
On its own, this data may seem harmless. But combined, it creates a highly detailed profile of your habits, routines, and health status.
The Real Risk in 2026 Isn’t the Device. It’s the Data.
Early conversations around wearable security focused on device hacking or surveillance.
Today, the bigger concern is data exposure.
If wearable platforms, apps, or connected services are breached, your data could be:
Sold on the dark web
Used to impersonate you
Leveraged in targeted phishing or health-related scams
And because this data is personal and specific, scams built from it can feel far more convincing than generic spam.
How Exposed Wearable Data Can Lead to Scams
When cybercriminals gain access to personal data, they don’t just sit on it. They use it.
Here’s how that plays out:
Scenario
What It Looks Like
Why It Works
Health-related phishing
“Your insurance claim was denied” or “Update your health profile”
Feels relevant and urgent
Account takeover attempts
Password reset emails tied to known apps
Uses real account signals
Personalized scams
Messages referencing routines, devices, or conditions
Builds trust quickly
Fake alerts or services
“Device security issue detected”
Mimics real product behavior
This is where the risk shifts from data privacy → real-world financial and identity impact.
2) Use layered protection, not just device settings A VPN and security software help protect data in transit and block threats before they reach you.
3) Strengthen your login credentials Use strong, unique passwords and enable two-factor authentication wherever possible.
4) Limit what you share Review app permissions and only connect devices to services you trust.
5) Verify every message or alert If you receive a message tied to your device or health data, double-check the source before clicking.
6) Monitor your accounts regularly Small signs of unusual activity can be early indicators of larger issues.
How McAfee Helps Protect Your Data Beyond the Device
Protecting your wearable doesn’t stop at the device itself. It extends to what happens if your data is exposed or targeted.
Identity Monitoring
McAfee helps track your personal information across known breach sources and alerts you if your data appears where it shouldn’t.
This gives you early warning if wearable-related accounts or associated data are compromised.
Scam Detector
If your data is exposed, scammers often follow.
McAfee’s Scam Detector helps identify suspicious messages, links, and communications before you engage, and explains why something was flagged, so you can make informed decisions quickly.
Together, these tools help protect not just your device, but the chain reaction that can follow a data breach.
We’re excited to share that McAfee’s Scam Detector has been named a finalist in the 2026 Webby Awards.
Recognized in the AI Experiences & Applications – Consumer Application category and named a Webby Honoree for Best Use of AI & Machine Learning, Scam Detector is being acknowledged for its effectiveness as an AI-driven consumer tool.
This recognition of Scam Detector validates something key in research findings. According to McAfee’s 2026 State of the Scamiverse report, Americans now spend 114 hours a year trying to decide what’s real and what’s fake online.
Scam Detector was built with this era of uncertainty in mind, designed to help people cut through confusion and identify scams as they appear. The Webby recognition reinforces to us that McAfee’s Scam Detector is doing exactly that.
What Are the Webby Awards?
The Webby Awards are presented by the International Academy of Digital Arts & Sciences and recognize excellence across the internet, including apps, software, AI, and digital experiences.
Each year, thousands of entries are evaluated, with finalists representing the top work in their category globally.
In addition to judged awards, the Webby Awards include a People’s Voice Award, which is decided by public vote.
How McAfee’s Scam Detector Uses AI to Stop Scams
Scam Detector is designed to help people identify scams where they’re most likely to happen, always ready to help you spot what’s real and what’s not when you least expect it.
It uses AI to analyze and flag suspicious:
Text messages and emails
Links and websites
QR codes
Social media messages
AI-generated and deepfake content
Beyond detection, Scam Detector explains why something was flagged as risky. That transparency helps show how decisions are made, so people can quickly understand the risk and feel more confident trusting what’s flagged.
As scams become more personalized and harder to detect, this combination of automatic detection and clear guidance is critical to preventing financial loss and identity theft.
Vote for McAfee’s Scam Detector
Scam Detector is eligible for the Webby People’s Voice Award, which is decided by public vote.
Voting is open through Thursday, April 16 at 11:59 pm PDT.
Winners will be announced on April 21, 2026.
And a big thank you to the McAfee teams who brought Scam Detector to life and who continuously improve how Scam Detector identifies new threats and adapts to the evolving world of AI-driven scams.
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