Automobile Camouflage to Hide from Flock Cameras
Not sure it’s practical, but it’s certainly striking.
Not sure it’s practical, but it’s certainly striking.
Comcast has added motion detection as a feature to its wireless routers:
The feature sends push notifications to users when motion is detected near a connected device, such as a TV or printer. It has different settings for when people are home, asleep, or away. The Xfinity app also lets users see live motion activity and a feed of recent activity.
Comcast acknowledges that the system has some limitations. Home size, layout, building materials, and the placement of the router and connected devices can all affect its ability to detect motion. Comcast says it does not guarantee its performance.
Sounds like a great surveillance tool. And also:
But the biggest privacy concern comes directly from Comcast’s own support page, which says information generated by WiFi Motion may be shared with third parties.
“Comcast may disclose information generated by your WiFi Motion to third parties without further notice to you in connection with any law enforcement investigation or proceeding, any dispute to which Comcast is a party, or pursuant to a court order or subpoena,” the page reads.
Artificial intelligence is rapidly changing education, and the way people search for information. Parents, teenagers, teachers, and schools are struggling with tough questions about when AI should, and should not, be used. It makes sense for Congress to hold hearings and examine how AI should be used by minors. But the recently introduced CHATBOT Act answers those questions with a one-size-fits-all mandate governing how teenagers access AI through federally prescribed parental monitoring systems.
Parents are approaching AI in different ways. Some closely supervise how their children use chatbots, while others might set more general rules about technology. Many families are still figuring out what role AI should play in schoolwork and everyday life.
The CHATBOT Act would take that decision away from families and AI providers. Instead of letting families and AI providers decide what parental controls should look like, Congress would require every covered AI chatbot to build the same federally prescribed “family account” system.
As part of the required parental-consent process for teens, AI companies must offer parents a "family account" that provides access to a "full record of the conversations and activity" of teen users and tools to "monitor, analyze, and understand, at scale" those conversations. They must also send alerts if a teen attempts to bypass or disable parental controls.
This isn’t simply an optional parental-control feature. The bill requires every covered AI provider to build this monitoring infrastructure, and present it as part of the parental consent process. Congress is prescribing a single, highly invasive model of how families should supervise teenagers’ use of AI.
Parents and families have different ideas about how much independence teenagers should have. Understandably, they also have very different expectations for 8-year olds, 13-year-olds, and 17-year-olds. The CHATBOT Act effectively requires AI providers to build the same monitoring architecture for users of very different ages.
And this mandated data collection will create new privacy and security risks. Once Congress requires AI companies to create a permanent, centralized record of teen AI conversations for parental review, that will be a valuable vault of extremely personal information. That raises serious questions about what would happen in cases where someone else gains access to it through account compromise, family disputes, or other security failures.
The vast archives of conversations created by the government-mandated family accounts won't be interesting only to parents. They will become valuable targets for hackers, identity thieves, civil litigants, and anyone else seeking access to the deeply personal information of others. The CHATBOT Act requires the records to exist, but addresses none of those risks.
Families are still figuring out what role AI should play in schoolwork and everyday life. Congress shouldn’t freeze one answer into federal law by requiring every AI company to build the same prescribed monitoring system.
The CHATBOT Act takes the basic structure of COPPA, a nearly 30-year-old law that applies to children aged 12 and under, and applies the same “verifiable parental consent” to older teenagers.
That’s a dramatic expansion of the law. Congress enacted COPPA to prevent kids from handing over detailed personal information to online services without making sure parents approved. For nearly three decades, Congress has required parental consent before websites collect personal information from any user under 13. COPPA is not simple to comply with, which is why so many internet companies, large and small, simply bar kids under 13 from having accounts. That includes major social media sites and AI. Facebook, Instagram, TikTok, X, YouTube, Snapchat, Discord, Spotify, and blogging platforms like WordPress all keep out users under 13. Children under 13 are also not allowed to use Microsoft Co-Pilot, Google Gemini, or ChatGPT. Anthropic does not allow users under 18 to use its AI model, Claude. In cases where younger kids maintain social media accounts despite the rules, studies show the vast majority of them are creating those accounts with parental consent.
In short, COPPA’s protections against collecting personal information from minors without parental consent already apply to the AI services CHATBOT Act seeks to regulate. Worse, the CHATBOT Act takes COPPA’s privacy protections and inverts them—it will result in AI services likely collecting more information about young users.
But the CHATBOT Act extends that model to high school students using AI assistants that are rapidly becoming tools for learning, research, writing, coding, and creative work. It then mandates specific, invasive surveillance tools that go well beyond anything COPPA requires.
The bill requires providers to offer these “family accounts,” with these specific features, as a default for teenagers. By doing so, CHATBOT effectively treats a high school senior the same way it treats an elementary school student.
Supporters may argue that parents of teens don’t have to create a family account. But every family with a teenager will still have to go through the bill’s parental-consent process before a teenager can use a covered AI system. Providers will need practical ways to verify that an adult is, in fact, the teenager’s parent. And parents of kids under 13 have no option to consent to their kids’ use of an AI system—the bill’s only option is to create a family account.
Congress should not extend the COPPA parental-permission model to millions of older teenagers, and it would be harmful to do so. The government does not require COPPA-style parental permission before a 17-year-old checks out a library book, uses Wikipedia, types search terms into Google, or reads a newspaper online. It shouldn’t require parental permission simply because the same question gets asked of an AI assistant.
The bill says it doesn’t require age verification. But like many recent “kids online safety” bills, it imposes obligations that depend on a company knowing whether a user is under 18.
Specifically, the bill requires AI systems to either disable access to young kids, get parental consent, or the creation of a family account if a service has reason to believe a user is a minor. The standard means that services don’t need to have actual knowledge of a user’s age to be later held liable for improperly letting them use their AI tools. That creates a practical problem. Given the potential liability of getting something wrong, AI companies will likely require stricter forms of age verification to figure out who is under 13, a teenager, and who is a parent. Some providers might ask for government-issued identification. Other companies may rely on age estimation systems that use facial scans or other signals to guess a user’s age. Neither of these approaches is good for users’ privacy or security. One collects more information than is necessary, and the other inevitably makes mistakes.
Congress shouldn’t force companies into that choice, or families into this position. In the name of protecting children, the CHATBOT Act will result in online services collecting even more information from kids and families, creating privacy and security risks. Parents who want family accounts like those described in the bill should be free to choose AI services that offer them. But Congress shouldn’t pressure every provider to collect more information about everyone’s age simply to comply with the law.
Congress doesn't have to choose between doing nothing and creating a sweeping new federal parental-monitoring mandate. Existing law allows regulators to police deceptive AI products, protect children's privacy under COPPA, and hold companies accountable when they market unsafe or misleading products to families.
Lawmakers have urged the FTC to crack down on AI-enabled toys that make unsubstantiated educational claims or illegally collect children's data. Those are regulatory actions that can be taken right now.
Finally, the FTC is currently investigating how AI companies test their products, protect children and teens, comply with COPPA, and enforce age restrictions. The results of that inquiry could be useful guidance to Congress, and to the public debate around these issues.
Cracking down on bad actors, while learning more about how families are already making decisions about AI use, is a much better path forward than building one, federally-prescribed model of parenting or product design.

Last month, the story broke (alternate link) that Madison Square Garden uses facial recognition software on everyone entering the facility, and—among other groups—flags activists that oppose using facial recognition.
Turns out that the system was shut off for Taylor Swift’s wedding.
Evan Greer—one of the people that MSG alerts on—comments:
Ironically, Swift herself has reportedly used facial recognition at her own concerts to identify stalkers. This “privacy for me, surveillance for thee” attitude feels like a perfect encapsulation of the future we’re already living in: one where wealthy elites can afford privacy, while the rest of us are forced to live in a corporate surveillance panopticon.
Whatever privacy measures Swift had in place for the wedding seems to have worked. No photos have leaked online.
He’s being prosecuted for giving border officials a code that wiped his phone:
The case centers on a feature included in GrapheneOS, a custom Android operating system that runs in place of the software on most modern Google Pixel devices. Tunick’s attorneys confirmed GrapheneOS was running on his phone.
The software feature allows the device owner to set a passcode that deliberately wipes the contents of that device if entered instead of the user’s unlock passcode.
Tunick’s case also raises ongoing questions about what constitutional rights can be invoked at the border, which the U.S. government has long asserted is not U.S. soil until a person is authorized to enter.
Right. And he wasn’t under arrest, either.
Graphine says that the feature is “completely legal“:
GrapheneOS is completely legal. We have no obligation to weaken any of the security protections it provides. Creating and using GrapheneOS is strongly protected by the US constitution. Laws attempting to make it illegal or require weakening the security would be unconstitutional.
It’s hard to know how much the Constitution matters in the US right now.
The US Federal Trade Commission (FTC), together with Utah and California, has filed a lawsuit against telehealth provider Hims & Hers.
The FTC alleges that the company shared consumers’ sensitive health information with third‑party advertising platforms despite promising strong privacy protections.
Hims & Hers is a telehealth and digital health platform that connects users with licensed medical providers for online consultations, prescription medications, and personal care products.
The complaint also accuses Hims & Hers of deceptive billing and subscription practices that made it hard for users to avoid charges or cancel subscriptions.
According to the FTC’s complaint, filed in federal court in California, Hims & Hers:
From a cybersecurity and privacy research perspective, this isn’t just about a single telehealth brand. It highlights three broader trends we see repeatedly in consumer programs:
Privacy policies versus reality. A company can market itself as privacy‑focused while still integrating third‑party advertising and analytics software development kits (SDKs) that leak sensitive information. This becomes especially concerning when health‑related events are linked to user accounts or tracking cookies.
Friction as a feature. Hard‑to‑find cancellation flows and unclear billing practices are examples of “dark patterns” that nudge users into paying for services they might not have chosen given all relevant information.
Regulatory pressure is growing. Health‑related services are under increasing scrutiny, especially when they handle sensitive data and combine it with advertising platforms.
The court will ultimately decide whether Hims & Hers violated the law, but the FTC’s action sends a clear signal: regulators are paying close attention to how health‑related services collect, use, and share sensitive data.
For anyone who values online privacy, the Hims & Hers case is a reminder that “health tech” does not automatically mean “privacy first.”
More often than not, the privacy loopholes are hidden in the privacy policy somewhere.
Pro tip: one thing AI is good at is reading between the lines. Ask an AI chatbot to summarize a privacy policy and identify when your information may be shared with third parties. AI makes it much easier to understand lengthy privacy policies without reading every word yourself. If companies fail to follow their own privacy policies, regulators and consumers can hold them accountable.
Other than that:
Your name, address, and phone number may already be for sale.
Data brokers collect and sell your personal details to anyone willing to pay. Malwarebytes Personal Data Remover finds them and gets your information removed, then keeps watch so it stays that way.
The US Federal Trade Commission (FTC), together with Utah and California, has filed a lawsuit against telehealth provider Hims & Hers.
The FTC alleges that the company shared consumers’ sensitive health information with third‑party advertising platforms despite promising strong privacy protections.
Hims & Hers is a telehealth and digital health platform that connects users with licensed medical providers for online consultations, prescription medications, and personal care products.
The complaint also accuses Hims & Hers of deceptive billing and subscription practices that made it hard for users to avoid charges or cancel subscriptions.
According to the FTC’s complaint, filed in federal court in California, Hims & Hers:
From a cybersecurity and privacy research perspective, this isn’t just about a single telehealth brand. It highlights three broader trends we see repeatedly in consumer programs:
Privacy policies versus reality. A company can market itself as privacy‑focused while still integrating third‑party advertising and analytics software development kits (SDKs) that leak sensitive information. This becomes especially concerning when health‑related events are linked to user accounts or tracking cookies.
Friction as a feature. Hard‑to‑find cancellation flows and unclear billing practices are examples of “dark patterns” that nudge users into paying for services they might not have chosen given all relevant information.
Regulatory pressure is growing. Health‑related services are under increasing scrutiny, especially when they handle sensitive data and combine it with advertising platforms.
The court will ultimately decide whether Hims & Hers violated the law, but the FTC’s action sends a clear signal: regulators are paying close attention to how health‑related services collect, use, and share sensitive data.
For anyone who values online privacy, the Hims & Hers case is a reminder that “health tech” does not automatically mean “privacy first.”
More often than not, the privacy loopholes are hidden in the privacy policy somewhere.
Pro tip: one thing AI is good at is reading between the lines. Ask an AI chatbot to summarize a privacy policy and identify when your information may be shared with third parties. AI makes it much easier to understand lengthy privacy policies without reading every word yourself. If companies fail to follow their own privacy policies, regulators and consumers can hold them accountable.
Other than that:
Your name, address, and phone number may already be for sale.
Data brokers collect and sell your personal details to anyone willing to pay. Malwarebytes Personal Data Remover finds them and gets your information removed, then keeps watch so it stays that way.
Your phone rings, you pick up and say hello. On the other end: total silence. No one answers, and the call abruptly disconnects. If you don’t already use spam call blockers, you’ve almost certainly run into this situation before.
In most cases, these are scam calls. Today, we explain why these calls happen, what the callers want from you, and how to protect yourself. Most importantly, we’ll look at whether you even need to bother protecting yourself against them in the first place.
It’s not just scammers on the line — robots, legitimate call center operators, and ordinary folks make these calls too. Let’s break down each type of caller — ordered from best-case to worst-case scenario for your security.
The most harmless scenario is that an actual person called you, but their microphone is acting up. Maybe they accidentally muted themselves with their ear, or their smartphone connected to a Bluetooth headset, speaker, or car system that isn’t capturing their voice. Carrier glitches can also mute one side of a call. The caller might have no idea there’s a problem — as far as they know, they are speaking, but no one can hear them. In cases like this, you usually recognize the incoming phone number.
If the call comes from an unknown number, there’s still no need to panic — though the list of those who might be calling gets much longer.
One legitimate possibility is a call center agent who simply didn’t pick up or connect their headset in time. Call center systems are designed to dial numbers faster than agents can wrap up their calls. The system tried to route the call to a human, but no reps were available. That’s why you sometimes have to wait a few seconds before hearing a single word, or why you might hear ringing tones as if you were the one making the call.
Silence on the line is a common sign of robocalls. Robots test whether a phone number is active and, if it is, pass it along to a human — meaning a real sales rep (or scammer) will call you back in the next few days. It’s worth noting that scammers aren’t the only ones making these pinging calls. Legitimate call centers use the exact same tools to reduce the workload on their live agents.
An AI agent could also be behind the silent call. To the person answering, there’s no practical difference: the call looks identical to one made by a standard bot. However, AI can do more than just auto-dial numbers — it can analyze your response and use that data to decide whether your number is active and ready to be handed off to a live person for follow-up.
Now we get to the real threat. Perhaps one of the most dangerous and unpleasant sources of silent phone calls is a scammer. A quick, silent call like this can actually be the groundwork for a long, elaborate attack with cover stories about loans, government agencies, other fraudsters, even law enforcement.
Debt collectors might also be calling and staying quiet. Your number could end up on their radar if you, your family, or close contacts have outstanding debts. In these cases, a silent call is often used as a tactic for psychological pressure.
A similar technique is used in stalking. While silent calls cause no direct harm on their own, they can be leveraged to induce anxiety, create a feeling of being constantly watched, and cause ongoing emotional distress.
When you pick up, you likely respond out of habit with a quick “Hello?” or “Hi there.” That’s all it takes for the other party to gather a wealth of data. While this information used to be difficult to process, the rise of artificial intelligence has made the task significantly easier. Let’s look at what someone can learn about you from just one spoken word:
Back to the “why do they call and stay silent”, the main reason is to harvest biometric data. Just a few seconds of recorded audio can help cybercriminals create a voice deepfake. While one or two words might not yield a convincing clone on their own, attackers can stitch together recordings from multiple silent calls to build a believable replica.
This technology is already being used in real-world scams. Impersonating a relative, colleague, or boss, fraudsters can urgently ask you to send them money, to share a two-factor authentication code for government services, or to complete some other seemingly innocuous request. The more realistic the deepfake sounds, the harder it is to spot the scam — especially when backed by a convincing backstory.
If you answer a call, say a few words, and hang up, there’s no need to panic. However, that brief interaction can confirm to attackers that your number is active and that you’ll answer calls from unknown numbers. As a result, your phone number could end up on target lists for future spam or scam campaigns. That said, it’s important to remember that a single silent call poses no immediate security threat.
Here are a few tips to help you stay calm and avoid falling for scam tactics if those silent calls are becoming a problem:
Further reading on scammers and deepfakes:




The concept of “surveillance pricing” is just one part of a much larger problem and business model: corporations maximizing their profits by invading our privacy. The all-too-common business model is to systematically harvest, collate, and store as much of our personal data as possible, and then monetize it through use and sale. When it comes to surveillance pricing, that looks like corporations offering the same product to two different people at two different prices, based on harvested personal information. That's why EFF supports A.B. 2654, authored by Assemblymember Chris Ward, which bans this harmful practice.
As an organization based in San Francisco, EFF was proud to learn that the San Francisco Board of Supervisors had also introduced a resolution to similarly support the legislation. However, we were disappointed to learn the San Francisco Board of Supervisors has since stalled a vote on the resolution stating their own support for A.B. 2654 after receiving an email from the San Francisco Chamber of Commerce criticizing the bill using well-worn and debunked concerns. We’ve sent the Supervisors a letter asking them to reconsider.
Banning surveillance pricing would be good for consumers. The FTC has found that companies will set higher prices based on personal information. “For instance,” the FTC found last year, “if a consumer is profiled as a new parent, the consumer may intentionally be shown higher-priced baby thermometers on the first page of their in-app search results, based on their residential zip code and time of purchase.” Let's say that again: the U.S. government has found that companies may seek to use surveillance pricing to charge parents searching for a thermometer in the middle of the night more money in a time of need.
Privacy is a human right, not something that people should understand as a currency to give away or protect based on how it will impact the price of groceries. EFF has long opposed pay-for-privacy schemes, in which a company charges a higher price to a customer who refuses to submit to processing of their personal data. Surveillance pricing is another version of that practice. You should never have to worry that your privacy rights depend on how much you make.
At a time when prices for everyday goods continue to climb, some surveillance pricing defenders note that using personal information could lead to lower prices for some consumers. Yet some recent studies indicate there will be losers and winners based on factors such as whether a consumer is willing or able to switch products. Who loses or wins also will turn on the accuracy of the underlying data – yet surveillance pricing is often based on false information.
That said, even if surveillance pricing has the capability to lead to lower prices (which it often doesn't) we oppose it as just another way that corporations try to make customers pay for their privacy.
The San Francisco Chamber of Commerce’s concerns are fully addressed in the text of A.B. 2654. The Chamber raises questions about how businesses will comply with the law. But the bill is quite clear: “a retailer shall not engage in surveillance pricing.” It also has a clear definition of what “surveillance pricing” is. The banned practice is defined as: “[i] a customized price for a good for a specific consumer or group of consumers, [ii] based, in whole or in part, on personally identifiable information collected through electronic surveillance,” including if that information is “acquired from a third party.” In other words, “surveillance pricing” is a customized price based on personal information.
The SF Chamber’s letter also asks about the bill's “treatment of discounts and loyalty programs.” In this way, too, A.B. 2654 is quite clear. The bill includes three broad carveouts that ensure it doesn't disrupt loyalty programs and discounts:
An opt-in senior discount to the movies is not the problem. The systematic collection of all of our personal information to determine whether someone is a senior and if so whether they should pay more or less for that matinee is.
As we said in our blog post outlining our support for this bill:
Surveillance pricing is very similar to online behavioral advertising, a business practice that EFF urges governments to ban. Both practices incentivize all businesses to collect as much of our personal data as possible, in order to later monetize it. Both practices lead some businesses to collate and store our data into dossiers about us for later use. Both practices use these surveillance-based dossiers to manipulate and limit our economic choices, by altering the advertisements and prices we see online.
We urge the San Francisco Board of Supervisors to join the coalition of groups that support A.B. 2564, and stand against companies mining our personal information to charge us different prices for the same thing.
You can read our letter to the Supervisors here.

Recent reports have raised alarm about the use of PatronScan, an ID-checking and face-scanning system, at multiple LGBTQ+ bars in San Francisco’s Castro neighborhood. Much of the attention has focused on reports that the system photographs patrons as they enter venues and questions about whether those images are used for facial recognition.
A broader privacy concern also deserves scrutiny. For years, PatronScan has marketed itself not just as an ID-verification tool, but as a system that allows bars and clubs to identify patrons, keep records about them, and share information across venues. As one news article published in 2019 documented, PatronScan built a network that allowed participating bars to flag patrons and share information about them with other establishments.
And in California, it’s not at all clear how PatronScan’s business model of scanning IDs and sharing the information from those scans with other bars comports with the law. California’s ID privacy law, which was amended in 2018 to add ID “scans,” states that no businesses shall “retain or use” any information from a scanned ID card except for limited purposes such as to verify age, comply with a legal requirement, or prevent fraud.
A venue cannot claim to be a safe space while feeding its patrons’ data to a third party database.
Californians should be deeply concerned about businesses that collect information from government-issued IDs and use it to build databases about where people go, whom they associate with, and whether they should be allowed into other public gathering places. That concern is especially strong in LGBTQ+ spaces, which have long served as refuges for people to go without being tracked, monitored, or put on lists.
We reached out to Patronscan with questions regarding their practices and their views on California ID law. They referred us to their published FAQ question “Is Patronscan privacy compliant in California?” which claims that the use of Patronscan kiosks is legal in California. They also said “Patronscan does not do facial recognition in North America, or any kind of automated analysis of the ID or the live photo image.”
In 2018, the California Legislature published bill analyses (on that year's AB 2769) that went into detail about PatronScan’s business. Reviewing PatronScan's own materials, the California Senate Judiciary Committee found that the company had collected and retained information on 561,087 customers in Sacramento alone during the first five months of 2018—a remarkable figure for a city whose population had only recently topped 500,000.
Lawmakers also found that at that time, PatronScan retained information for at least 90 days or longer in some cases, shared information among participating bars, and maintained bans that lasted an average of more than 19 years. A PatronScan “Public Safety Report” used 10,000 scans collected on a single day to report on “where customers live, how far they have traveled, and how many different venues the customers patronized.”
This was not simply checking IDs at the door. PatronScan was building a database.
An immigrants’ rights group, the Coalition for Human Immigrant Rights (CHIRLA), wrote about its concern at the time with these growing ID databases, saying that “placing individuals on a database that labels them a "threat to public safety" has “significant immigration consequences that could lead to deportation, revoking of current status, or denial of future immigration relief.”
Today, Patronscan states that it retains personal information about all customers for 21 days, and about flagged customers for up to five years. This includes the customer’s name, date of birth, photograph, gender, and zip code. It also includes the dates and times that the customer entered particular bars. Such databases are a grave privacy threat. Personal data is routinely stolen by thieves, misused by a company’s employees, seized by government agencies, and diverted to new purposes by a company’s executives.
In 2018, California lawmakers closed what they viewed as a loophole. Existing law already prohibited businesses from retaining or using information obtained when they “swiped” a driver's license, except for the narrow purposes of legal requirements (like a judicial warrant) or “preventing fraud, abuse, or material misrepresentation.”
After reviewing companies like PatronScan, the Legislature amended the law to make clear that the same restrictions that apply to businesses that “swipe” ID cards also apply when those IDs are “scanned.” PatronScan opposed that change, arguing it wanted to preserve the ability to share information among bars so participating venues could decide whether to admit patrons.
The bill became law anyway. Yet PatronScan continues to market and sell a system that apparently retains information from scanned IDs, and allows participating venues to flag patrons and share information across its network.
At a minimum, that raises serious questions about how those practices fit with California's existing ID privacy law. Bar and nightlife venue owners who utilize PatronScan should think twice about its effects on their customers, and consider going back to standard, visual ID checks. These physical checks have been effective at keeping underage patrons out of 21-and-over venues for decades, and don’t present the serious privacy dangers of creating a private database of bar patrons.
For venues serving vulnerable communities like immigrants or the LGBTQ+ community, the stakes of using this technology are even higher. It’s disappointing and alarming to see some of California’s more well-known LGBTQ+ nightlife spots instead lining up as PatronScan’s early adopters. A venue cannot claim to be a safe space while feeding its patrons’ data to a third party database. These businesses should reject PatronScan, return to the standard ID checks that every other bar has been able to utilize, and prove to their customers that their privacy and security still matters.

Reddit users found that by using a specific Google search query, it was possible to find Claude conversations that users had shared.
This exposed sensitive material, including crypto wallet keys, names, addresses, work notes, and even erotic or otherwise policy-violating chats. Fortune says Anthropic appears to have fixed the Google indexing issue, but the shared links themselves were still live for people who already had them.
The exposure was tied to Claude’s Share feature, which creates a public web link to a snapshot of a conversation rather than leaving it inside a user’s private account. Reddit users found a search query that surfaced many of these shared chats, plus Claude Artifacts (interactive documents, apps, and other content created by Claude) in Google results. Wired reports that this is still true for Bing.
The main risk is that people use chatbots to think through work, health, legal, or personal matters without realizing that a shared link can behave like ordinary public web content.
This isn’t unique to Claude. We’ve previously seen Grok chats show up in Google search results, and Meta AI conversations can also become public by design. We have also written about the share option in ChatGPT that was swiftly removed after users unintentionally made thousands of conversations searchable.
Anthropic says Claude chats are private by default, and only conversations users explicitly chose to share were affected. But the incident is a reminder that a “share” button on an AI chat can be more like publishing than messaging, especially if search engines can discover the resulting URL.
The easy way out here is not to share your AI chatbot conversations with anyone, because you could end up reaching more people than you intended.
That’s because it’s harder to stop pages from being indexed than you might expect. And you don’t have those controls aren’t in your hands. The AI provider should take care of that.
But there are a few things you can do:
Let’s face it, an incognito window can only do so much.
Breaches, dark web trading, credit fraud. Malwarebytes Identity Theft Protection monitors for all of it, alerts you fast, and comes with identity theft insurance.
Reddit users found that by using a specific Google search query, it was possible to find Claude conversations that users had shared.
This exposed sensitive material, including crypto wallet keys, names, addresses, work notes, and even erotic or otherwise policy-violating chats. Fortune says Anthropic appears to have fixed the Google indexing issue, but the shared links themselves were still live for people who already had them.
The exposure was tied to Claude’s Share feature, which creates a public web link to a snapshot of a conversation rather than leaving it inside a user’s private account. Reddit users found a search query that surfaced many of these shared chats, plus Claude Artifacts (interactive documents, apps, and other content created by Claude) in Google results. Wired reports that this is still true for Bing.
The main risk is that people use chatbots to think through work, health, legal, or personal matters without realizing that a shared link can behave like ordinary public web content.
This isn’t unique to Claude. We’ve previously seen Grok chats show up in Google search results, and Meta AI conversations can also become public by design. We have also written about the share option in ChatGPT that was swiftly removed after users unintentionally made thousands of conversations searchable.
Anthropic says Claude chats are private by default, and only conversations users explicitly chose to share were affected. But the incident is a reminder that a “share” button on an AI chat can be more like publishing than messaging, especially if search engines can discover the resulting URL.
The easy way out here is not to share your AI chatbot conversations with anyone, because you could end up reaching more people than you intended.
That’s because it’s harder to stop pages from being indexed than you might expect. And you don’t have those controls aren’t in your hands. The AI provider should take care of that.
But there are a few things you can do:
Let’s face it, an incognito window can only do so much.
Breaches, dark web trading, credit fraud. Malwarebytes Identity Theft Protection monitors for all of it, alerts you fast, and comes with identity theft insurance.
A prayer app launched by Pope Francis in 2019 contained a security flaw that exposed the personal information of hundreds of thousands of users before it was finally fixed this year.
The app, Click To Pray, was developed by La Machi Communication for Good Causes for the Pope’s Worldwide Prayer Network. Pope Francis endorsed the service and had an account on it. The app offers a “digital community of prayer” by guiding people through three prayers each day.
In January this year, independent researcher BobDaHacker discovered a flaw in the app’s API endpoint. An API is an online service that responds to requests for data. Typically, only the mobile app should send such requests, and the API should only return information about the specific person using that app. However, BobDaHacker found it was giving out information about any of the app’s users to anyone who asked.
Apps typically query an endpoint by sending it a specific ID for the person using it. In this case, those IDs were simply sequential numbers. According to BobDaHacker, there were 719,517 registered IDs for the app, meaning over 700,000 users had information stored in the system.
The problem was that the API didn’t check whether someone requesting a record was actually authorised to see it. Anyone could request information for any ID, from 1 through to 719,517. The API would then return that user’s record, including:
This kind of flaw is known as an Insecure Direct Object Reference (IDOR) and we’ve seen it before. Stalkerware-type app TheTruthSpy was found leaking details on its victims via an IDOR vulnerability in 2022, and it still hadn’t been fixed two years later. The web server for the MiCODUS MV720 vehicle-tracking GPS device also had the vulnerability in 2022, putting 1.5 million people at risk.
A second flaw in the Click To Pray API made things worse. When people register with an app, the service typically sends a link to their email address containing a unique code known as a validation hash. Clicking the link proves they have access to that inbox and therefore own the email address they registered with.
Unfortunately, the Click To Pray API also returned the validation hash in its response when someone clicked the verification link. These responses are easy to inspect using a web browser’s developer tools, meaning an attacker could register an account using an email address they didn’t control and verify it before the real owner even saw the verification email.
BobDaHacker first reported the bug on January 3, 2026, eventually emailing nine addresses spanning the Click To Pray service, the Pope’s Worldwide Prayer Network, and a general information address. They got no response. It was only fixed more than six months later after the researcher contacted a journalist, who filed a query with the Vatican.
Responsible disclosure only works when the recipient has a functioning intake process. Nine unanswered emails were a strong signal that no such process existed.
This isn’t the first security flaw involving a Vatican app. In 2019, UK firm Fidus Information Security found a flaw in the app for the Vatican’s Bluetooth eRosary device. It didn’t use a conventional password for logins. Instead, users entered their email address and the app sent a four-digit PIN to that address. They then entered the PIN to log in.
However, when the user entered their email address, the app also returned the PIN in plain text in its web response. That enabled an attacker to take over anyone’s account simply by inspecting the response.
That flaw was similar to the account verification issue that BobDaHacker discovered more than six years later. Although the incidents involved different apps, they show how the same type of security mistake can reappear years apart.
BobDaHacker also noted that Vatican City State introduced its own data protection regulation, Decree No. DCLVII, on April 30, 2024. The regulation requires appropriate safeguards for personal data. However, it’s not clear whether it applies directly to Click To Pray or the organisations that operate it.
Thankfully, someone on the Vatican side has now fixed the flaws, but the vulnerability meant that user data was exposed for a long time. If you registered an account, assume your email, name, date of birth, and country are potentially in circulation. Watch for phishing that references the app, and be especially skeptical of messages claiming to come from Vatican-affiliated services asking you to click, verify, or log in.
This is particularly important because BobDaHacker also reported that emails from the service failed standard email authentication checks. These checks help receiving email providers verify that a message really came from the domain it claims to represent. According to the researcher, this could make it easier for phishing attackers to impersonate the organisation.
Your name, address, and phone number may already be for sale.
Data brokers collect and sell your personal details to anyone willing to pay. Malwarebytes Personal Data Remover finds them and gets your information removed, then keeps watch so it stays that way.
A prayer app launched by Pope Francis in 2019 contained a security flaw that exposed the personal information of hundreds of thousands of users before it was finally fixed this year.
The app, Click To Pray, was developed by La Machi Communication for Good Causes for the Pope’s Worldwide Prayer Network. Pope Francis endorsed the service and had an account on it. The app offers a “digital community of prayer” by guiding people through three prayers each day.
In January this year, independent researcher BobDaHacker discovered a flaw in the app’s API endpoint. An API is an online service that responds to requests for data. Typically, only the mobile app should send such requests, and the API should only return information about the specific person using that app. However, BobDaHacker found it was giving out information about any of the app’s users to anyone who asked.
Apps typically query an endpoint by sending it a specific ID for the person using it. In this case, those IDs were simply sequential numbers. According to BobDaHacker, there were 719,517 registered IDs for the app, meaning over 700,000 users had information stored in the system.
The problem was that the API didn’t check whether someone requesting a record was actually authorised to see it. Anyone could request information for any ID, from 1 through to 719,517. The API would then return that user’s record, including:
This kind of flaw is known as an Insecure Direct Object Reference (IDOR) and we’ve seen it before. Stalkerware-type app TheTruthSpy was found leaking details on its victims via an IDOR vulnerability in 2022, and it still hadn’t been fixed two years later. The web server for the MiCODUS MV720 vehicle-tracking GPS device also had the vulnerability in 2022, putting 1.5 million people at risk.
A second flaw in the Click To Pray API made things worse. When people register with an app, the service typically sends a link to their email address containing a unique code known as a validation hash. Clicking the link proves they have access to that inbox and therefore own the email address they registered with.
Unfortunately, the Click To Pray API also returned the validation hash in its response when someone clicked the verification link. These responses are easy to inspect using a web browser’s developer tools, meaning an attacker could register an account using an email address they didn’t control and verify it before the real owner even saw the verification email.
BobDaHacker first reported the bug on January 3, 2026, eventually emailing nine addresses spanning the Click To Pray service, the Pope’s Worldwide Prayer Network, and a general information address. They got no response. It was only fixed more than six months later after the researcher contacted a journalist, who filed a query with the Vatican.
Responsible disclosure only works when the recipient has a functioning intake process. Nine unanswered emails were a strong signal that no such process existed.
This isn’t the first security flaw involving a Vatican app. In 2019, UK firm Fidus Information Security found a flaw in the app for the Vatican’s Bluetooth eRosary device. It didn’t use a conventional password for logins. Instead, users entered their email address and the app sent a four-digit PIN to that address. They then entered the PIN to log in.
However, when the user entered their email address, the app also returned the PIN in plain text in its web response. That enabled an attacker to take over anyone’s account simply by inspecting the response.
That flaw was similar to the account verification issue that BobDaHacker discovered more than six years later. Although the incidents involved different apps, they show how the same type of security mistake can reappear years apart.
BobDaHacker also noted that Vatican City State introduced its own data protection regulation, Decree No. DCLVII, on April 30, 2024. The regulation requires appropriate safeguards for personal data. However, it’s not clear whether it applies directly to Click To Pray or the organisations that operate it.
Thankfully, someone on the Vatican side has now fixed the flaws, but the vulnerability meant that user data was exposed for a long time. If you registered an account, assume your email, name, date of birth, and country are potentially in circulation. Watch for phishing that references the app, and be especially skeptical of messages claiming to come from Vatican-affiliated services asking you to click, verify, or log in.
This is particularly important because BobDaHacker also reported that emails from the service failed standard email authentication checks. These checks help receiving email providers verify that a message really came from the domain it claims to represent. According to the researcher, this could make it easier for phishing attackers to impersonate the organisation.
Your name, address, and phone number may already be for sale.
Data brokers collect and sell your personal details to anyone willing to pay. Malwarebytes Personal Data Remover finds them and gets your information removed, then keeps watch so it stays that way.
Governments are switching, but I’m not sure it makes a difference:
…some municipalities, including Denver, Colorado, are ditching their Flock arrays. But keep in mind that if they’re only switching from Flock to another brand of license-plate readers, like Axon, it’s like a gambling addict trying to kick the habit by switching from FanDuel to DraftKings.
[…]
Despite what you may read on the Flock website, Axon cameras are pretty effective when it comes to hoovering up personal details that can go far beyond your license plate numbers. That means a municipality that opts for Axon cameras instead of Flock units won’t necessarily reduce the amount privacy its citizens lose through their use.
This week on the Lock and Code podcast…
Twenty years ago, a British mathematician named Clive Humby popularized a phrase that came to describe data’s relationship with the entire global economy: “Data is the new oil.”
Pithy as the phrase sounds, it is undeniably true.
Data steers decisions at businesses of every size. Data created entirely new industries built around its capture. And, for a select number of companies, data has produced billions—if not trillions—of dollars in value.
So how is it that, on the dark web, your stolen identity can be purchased for just 95 cents?
That’s what a Malwarebytes researcher found last month after spending 48 hours inside the dark web to investigate cybercrime. Across a variety of forums and directories, he found subscription plans for malware that steals information once implanted on a device. He found guides for deploying social engineering scams. He found people selling their services to build fake websites that trick people into handing over their usernames and passwords. And he found one of the dark web’s most traded commodities—personal data, packaged together about individual people, to help a cybercriminal commit identity fraud.
These packages are called “fullz.” For victims in the United States, a fullz contains a full name, Social Security Number, date of birth, address, and other personal details. That is enough, on its own, for a cybercriminal to potentially open a bogus line of credit, file a fake tax return, access financial accounts, or obtain medical services under someone else’s name.
As we wrote on Malwarebytes Labs:
“For less than the cost of a cup of coffee, a cybercriminal can buy enough information to devastate someone’s financial life.”
It’s the kind of risk that could scare anyone, especially considering the scale behind it. In just the first six months of 2026, Malwarebytes found more than 7,500 compromised data sets on the dark web containing more than 8.4 billion records.
And yet, even today, cybersecurity professionals still get asked why anyone should bother protecting their data.
The public, understandably, are exhausted. With data breaches happening every week—if not every day—cybersecurity can start to feel pointless. With young people unable to build financial security, they start believing that they have nothing worth stealing. And with Big Tech already collecting our every movement, behavior, click, and concern, people understandably feel powerless to fight any kind of data abuse, be it corporate or criminal.
So today’s episode approaches the question from a different direction. This isn’t about why you should protect yourself—plenty of company websites will tell you that, and most of them rely on fear. This is about why hackers want your data in the first place.
Today, on the Lock and Code podcast, host David Ruiz explains how cybercriminals turn a single repeated password into account takeover, how a screenshot of your house from Google Maps became a tool in extortion emails, and why the most benign information about you—an address, an age, one public photo—is often the most useful data a stranger can buy.
Tune in today to listen to the full episode.
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 for Lock and Code listeners.
This week on the Lock and Code podcast…
Twenty years ago, a British mathematician named Clive Humby popularized a phrase that came to describe data’s relationship with the entire global economy: “Data is the new oil.”
Pithy as the phrase sounds, it is undeniably true.
Data steers decisions at businesses of every size. Data created entirely new industries built around its capture. And, for a select number of companies, data has produced billions—if not trillions—of dollars in value.
So how is it that, on the dark web, your stolen identity can be purchased for just 95 cents?
That’s what a Malwarebytes researcher found last month after spending 48 hours inside the dark web to investigate cybercrime. Across a variety of forums and directories, he found subscription plans for malware that steals information once implanted on a device. He found guides for deploying social engineering scams. He found people selling their services to build fake websites that trick people into handing over their usernames and passwords. And he found one of the dark web’s most traded commodities—personal data, packaged together about individual people, to help a cybercriminal commit identity fraud.
These packages are called “fullz.” For victims in the United States, a fullz contains a full name, Social Security Number, date of birth, address, and other personal details. That is enough, on its own, for a cybercriminal to potentially open a bogus line of credit, file a fake tax return, access financial accounts, or obtain medical services under someone else’s name.
As we wrote on Malwarebytes Labs:
“For less than the cost of a cup of coffee, a cybercriminal can buy enough information to devastate someone’s financial life.”
It’s the kind of risk that could scare anyone, especially considering the scale behind it. In just the first six months of 2026, Malwarebytes found more than 7,500 compromised data sets on the dark web containing more than 8.4 billion records.
And yet, even today, cybersecurity professionals still get asked why anyone should bother protecting their data.
The public, understandably, are exhausted. With data breaches happening every week—if not every day—cybersecurity can start to feel pointless. With young people unable to build financial security, they start believing that they have nothing worth stealing. And with Big Tech already collecting our every movement, behavior, click, and concern, people understandably feel powerless to fight any kind of data abuse, be it corporate or criminal.
So today’s episode approaches the question from a different direction. This isn’t about why you should protect yourself—plenty of company websites will tell you that, and most of them rely on fear. This is about why hackers want your data in the first place.
Today, on the Lock and Code podcast, host David Ruiz explains how cybercriminals turn a single repeated password into account takeover, how a screenshot of your house from Google Maps became a tool in extortion emails, and why the most benign information about you—an address, an age, one public photo—is often the most useful data a stranger can buy.
Tune in today to listen to the full episode.
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 for Lock and Code listeners.
Yet another Israeli mass surveillance company:
Made by Israeli surveillance company Cognyte, the tech simulates a mobile phone tower, which forces nearby phones to connect to it. That enables cops to keep tabs on any phones in the vicinity whether they’re owned by a suspect in a case or not. Cognyte’s contract with the state of Texas reveals that the simulator, called FalcoNet, can be concealed within the vehicles, hidden in a backpack for on-foot missions or attached to a helicopter. It’s the same technology as the infamous Stingray, one of the original cell-site simulators made by defense giant L3Harris.
Virtually every website selling products or services features a live chat widget. It usually appears as a small window in the corner of your screen, complete with an agent’s name and picture.
Sometimes these chats simply collect tickets for tech support or sales to process. But often there’s a real person on the other end of the screen. And here’s where many users get an unwelcome surprise: agents can see absolutely everything you type into the chat box, even if you have no intention of sending it. In this article, we break down why this happens and what you can do about it.
It’s all thanks to a feature known as live typing preview, or real-time typing view, which exists under one name or another in almost every popular customer chat platform. Here’s how the developer of LiveAgent, a customer support system used by more than 40 000 companies, describes it in its blog: “This live chat typing preview allows agents to anticipate questions and deliver faster responses. Additionally, real-time chat monitoring enables supervisors to oversee chat interactions, ensuring quality and timeliness.”
While that might sound helpful and harmless to some, having their unsent messages watched without their permission can trigger outright panic for others. To make matters worse, it’s almost impossible to tell whether the website uses the feature. That is, unless the chat agent admits it to you directly… or replies to a message you decided not to send.
As an alternative, you can run a quick test: type out a message in the chat box, wait 15 seconds, and see if the agent starts typing a response. If they do, you’re almost certainly dealing with real-time typing view. Whether to continue that conversation is up to you. Most importantly, never type personal information into a chat box — even if you are doing so from a Kaspersky Premium device.
Real-time typing view is just the tip of the iceberg. In reality, websites collect far more information than you might think. You’re likely already familiar with cookies, and have probably asked yourself at least once, “Should I accept these or not?” We answer that and other questions in our post Taking the biscuit: why hackers like cookies so much.
Tracking techniques that use web beacons and tracking pixels are not as widely known. To learn why they’re a concern and how to turn them off, check out our post Who is tracking you on the web and how.
Another technology that remains largely unknown to the general public is session replay scripts. These tools allow website owners to watch a recording of your visit: how fast you moved your cursor, where you clicked, which pages you browsed, and what you added to your shopping cart.
Of course, the primary goal of session replay is the same as real-time typing view: improving customer and user experience. It helps companies analyze your behavior, identify friction points, and make improvements. If a customer fails to complete a checkout or encounters a technical issue, developers can review the recording of their session to pinpoint what went wrong.
In theory, it sounds helpful enough: “We will collect a small amount of data about you to make the site better for you.” In practice, however, this approach comes with significant risks for users.
The primary risk here lies in whether websites collect this data legally, how they store it, and whether they share it with anyone. While you can usually gauge legality by reading their privacy policy, the terms of data storage and sharing are often described vaguely.
On top of that, users rarely realize an agent can read their message before it’s actually sent. If you change your mind about asking a question, edit a sentence, or delete your text entirely, that doesn’t mean no one saw the draft. Unlike cookies, opting out of this technology is practically impossible. Most chat widgets simply don’t offer a setting to disable typing previews.
As for tracking pixels, web beacons, and session replays, they’re essentially a form of digital surveillance. Beyond collecting vast amounts of data, they can also slow down your device’s performance. Even worse, if attackers compromise a website’s analytics system, they can gain access to this data, reconstruct your path through the site, and uncover details that can be leveraged in future attacks. To learn more about how scammers pull off these tricks and how social engineering works, check out our post They’re reading you like a book: scammers’ favorite tricks.
While you can’t prevent a potential breach on a third-party website, you can — and should — take steps to secure your own browsing session.
First and foremost, pay close attention to what you type in a chat box. It’s critical never to share personal data, credit card numbers, logins, passwords, or any other sensitive information with live chat agents.
Beyond that, there’s always a risk of landing on a phishing site and entering your account credentials there. To prevent this, we recommend using our security solutions, which block visits to malicious and suspicious websites. We also suggest storing your credentials in Kaspersky Password Manager — our password manager won’t let you auto-fill saved logins and passwords on a fake site.
Users of Kaspersky Standard, Kaspersky Plus, and Kaspersky Premium have access to our Private Browsing feature (on Windows and macOS). It prevents third-party services from tracking your online activity and collecting real-time information about what you do on websites.
To minimize the risk of data leaks, keep these tips in mind:
Tired of endless digital tracking? Here’s how you can protect yourself and your data:
- How to shrink your digital footprint
- Why data brokers build dossiers on you, and how to stop them doing so
- Turning purple: how visited links threaten your privacy
- How smartphones build a dossier on you
- The incognito myth: how private browsing really works
- Advertisers sharing data about you with… intelligence agencies




Starting last year, Android users have been seeing the “number is now verified” system notification more frequently. And in some cases people even find mysterious outgoing text messages in their history that they never sent.
These messages often cause confusion and even anxiety: has a virus infected the phone? Are tech giants spying on our phone numbers? Let’s break down how this feature works, and what potential risks it poses to your privacy.
The notification pops up whenever Google’s phone number verification feature is triggered on your device.
Its main job is to make sure that the SIM card tied to a specific phone number is physically inside the phone. Once verified, that phone number automatically links to all active Google accounts on the device.
There are several key services that rely on the verification. Most importantly, it drives Rich Communication Services (RCS) — the modern standard for “rich” messaging right inside your standard text messaging app. It feels like a popular chat app, but without the need to install anything extra. Unlike iMessage, which is locked to Apple’s ecosystem, RCS works across compatible smartphones on various platforms since it’s an industry standard set by carriers rather than tech giants. Since recently, both Apple and Android users have been able to exchange RCS messages. For this feature to work in the Google Messages app, Google needs ongoing confirmation that your SIM card is active. If you pull out your SIM card, RCS chats will keep working for about eight days before turning off automatically.
According to Google, phone number verification serves several other purposes as well:
Google also recently confirmed that this data is used to counter scams. Verification helps block calls or text messages from spoofed numbers if both the real owner of the number and the recipient are using Android devices with verified phone numbers.
Phone number verification technology has been around on Android for quite some time — Google was sending test SMS messages as far back as in 2019. However, it became widely visible to most users following a Google system update in September 2025. The process was baked deeper into the operating system, with number verification now running by default during initial phone setup, and re-running periodically in the background.
There are two main technical methods for the verification process. Which one your device uses depends on your mobile carrier and your version of Android.
The older method relies on hidden text messages. In the background, your smartphone sends a specialized technical text message to Google’s servers. The operating system intercepts this message before you ever see it, which is why it rarely appears in your standard text messaging app. However, due to software glitches or Android customization quirks, these texts occasionally surface in sent messages, startling users. They typically look like this: “(string of letters and numbers) Google is re-verifying the phone# of this device.” Google explicitly notes in its help documentation that standard messaging rates from your carrier may apply.
In recent years, direct carrier verification (via carrier APIs) has become the primary verification method. This approach is more modern and secure than previous ones. The smartphone sends an encrypted token containing device and SIM card identifiers to the mobile carrier, and the carrier responds with the confirmed phone number. The whole process takes just a couple of seconds and runs completely unnoticed by the user. Both global telecom giants and smaller providers have connected to this verification network. Notably, third-party apps can also tap into the results of this check through Firebase Phone Number Verification, getting confirmation from your mobile carrier about which phone number is active on the device.
In its official documentation, Google notes that device identifiers and SIM card data may be collected during verification. In practice, this refers to unique identifiers for the SIM card and its subscriber profile (ICCID and IMSI), as well as technical device identifiers needed to run mobile networks. Google also explicitly states that it does not sell your personal information, including your phone number, to anyone.
Naturally, sending additional unique identifiers to Google — especially given the scale of its advertising business — always raises concern among privacy-conscious users. Here’s what you should keep in mind:
Metadata collection. To run RCS, Google exchanges data with your mobile carrier. Even when the content of RCS messages is encrypted, metadata — such as who is messaging whom and when — can still be stored on your carrier’s servers, and in some cases, on Google’s servers. As cybersecurity experts at the Electronic Frontier Foundation point out, if privacy is your top priority, you’re better off sticking to dedicated encrypted messaging apps.
Linked accounts. If you have both a personal and a work Google account (or a personal and a family account) set up on the same phone, the verified number will automatically link to both profiles. The operating system does not offer built-in tools to separate numbers for different accounts on a single device.
Phone number leaks. Apps on your device can already access various user identifiers, including your phone number. However, this verification system makes it easier to link multiple phone numbers to a user who has multiple Google accounts. And while Google states that it never sells phone numbers, you cannot say the same with confidence about obscure third-party Android developers.
On by default. The feature is enabled out of the box, and most users have no idea their device is silently querying their carrier in the background. While you can opt out in your Google settings once you notice it, there’s no guarantee that any data already collected will actually be deleted.
For most users, verification is genuinely helpful. It simplifies account recovery, makes finding a lost phone easier, powers modern text messaging features, and assists emergency services when every second counts.
However, if you want to minimize the amount of metadata sent to Google, mobile carriers, and other data brokers, you can manually disable the feature. Here’s how:
If you also want to disable Better sharing on Google, go to Settings → Google → Manage your Google Account → Personal info → Contact info → Phone, select your number, and turn off the setting.
If you have multiple Google accounts on your phone, you’ll need to repeat these steps for each one. Unfortunately, verification sometimes turns itself back on automatically, and there’s no reliable way to prevent this on standard consumer phones with stock software.
Keep in mind that disabling verification means losing access to RCS chats in Google Messages — forcing you to fall back on basic SMS, or switch to alternative secure messaging apps. You also won’t be able to use that number for quick account recovery should you forget your password.
To thoughtfully customize your privacy settings across all your devices — regardless of the operating system, browser, or app — check out our free online tool, Privacy Checker.
Curious about other privacy risks you might not even know exist? Check out our other deep dives, here:



