Technology
TV host Andy Cohen swindled in costly bank scam: How to avoid becoming a victim yourself
Andy Cohen, the host of Bravo’s “Watch What Happens Live with Andy Cohen,” recently revealed he was scammed out of a large sum of money by an imposter who pretended to be from his bank.
He shared his story on TV, social media and on his Sirius XM “Andy Cohen’s Daddy Diaries Podcast,” hoping to raise awareness and prevent others from falling into the same trap.
What is an imposter scam?
An imposter scam is when someone contacts you pretending to be someone you trust, such as a government official, a bank employee, a family member or a friend.
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They may use fake names, phone numbers, email addresses, or websites to trick you into giving them your money or personal information. They may also use threats, promises or emotional appeals to pressure you into acting quickly.
According to the Federal Trade Commission (FTC), imposter scams are the most common type of fraud reported by consumers in the U.S.
How did Andy Cohen get scammed?
Cohen said that his ordeal started when he lost his bank card and reported it lost. The next day, he received an email that looked like it was from his bank’s fraud alert system. The email asked him to click on a link and sign in to his bank account to verify some suspicious transactions. This is how it all went down from there.
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Andy Cohen (Getty Images for Sirius XM)
The fake email that started it all
Cohen said he clicked on the link and entered his username and password, thinking that the email was legitimate. However, he later realized that the link was fake and that he had given the scammers access to his bank account.
The Apple ID request that gave them access
The scammers then asked him to sign in to his Apple ID, which he said was a red flag. He said he closed the browser and ignored the request, but it was too late. The scammers had already gained control of his phone and his bank account.
Apple ID on iPhone (Apple)
The text and phone call that confirmed the scam
The next day, he received a text message from what appeared to be his bank, asking him if he was trying to use his card. He replied that it was not him, and then he received a phone call from someone who claimed to be from his bank’s fraud department.
The caller asked him to confirm some recent charges on his account, which he said were accurate because the scammers could see his transactions. The caller then said they would send him some codes to verify his identity and asked him to read them back.
The codes that were actually wire transfers
Cohen said he received three codes, which he later learned were actually wire transfers from two of his accounts to the scammers. He said he thought he was talking to his bank and that the codes were part of the security process.
The call-forwarding trick that blocked the real bank
The scammers then did something even more sneaky. They asked him to enter some numbers, which they gave him, on his phone’s keypad, which activated the call-forwarding feature. This meant that any incoming calls to his phone would be redirected to the scammers, including the calls from his real bank.
Call forwarding on iPhone (Kurt “CyberGuy” Knutsson)
Cohen said he tried calling his bank’s fraud number but never received a callback. He said his phone was silent all night, which he found strange. The next day, a visit to his bank revealed that a significant sum of money had been wired out of his account, the exact amount of which he did not reveal. Cohen highlighted the harsh reality that once money is wired out, it’s generally not recoverable.
The discovery of the loss and the report to the police
He said he reported the incident to the NYPD Cyber Security Unit and that the case was still under investigation. He said he wanted to share his experience to warn others.
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How can you avoid imposter scams?
Andy Cohen shared some tips on how to avoid imposter scams based on what he learned from his experience. Here is his advice, along with some additional suggestions.
1) Check the email address
If you receive an email that claims to be from your bank, your government, or any other organization, always check the sender’s email address. It may look official, but if you click on it, you may see that it is not from the domain you expect. For example, it may say “Bank of America,” but the email address may be something like “bankofamerica@gmail.com” or “bankofamerica@fraud.com.” Do not click on any links or attachments in the email, and do not reply to it. Instead, contact the organization directly using a phone number or a website that you know is genuine.
2) Avoid the sense of urgency
Many imposter scams rely on creating a sense of urgency or panic in the victim. They may tell you that your account has been hacked, that you owe money to the IRS, that your loved one is in trouble, or that you have won a prize. They may ask you to act quickly and send money, provide personal information, or buy gift cards. Do not let them rush you or pressure you. Take a breath and think twice before you respond. If you are not sure, talk to someone you trust, such as a friend, a family member, or a financial advisor. Remember, legitimate organizations will never ask you to pay them with gift cards, wire transfers, or cryptocurrency.
3) Verify the caller’s identity
If you receive a phone call from someone who claims to be from your bank, your government, or any other organization, do not trust them blindly. They may use fake names, phone numbers, or caller ID information to fool you. They may also have some information about you, such as your name, your address, or your account number, to make you think they are real. However, this does not mean they are who they say they are. They may have obtained this information from public sources, data breaches, or previous scams. Do not give them any more information, such as your password, your PIN, your social security number, or your credit card number. Do not agree to any requests, such as sending money, buying gift cards, or entering codes. Instead, hang up and call the organization directly using a phone number that you know is genuine. You can also check the organization’s website for any alerts or warnings about scams.
4) Protect your devices: Have good antivirus software on all your devices
Imposter scammers may try to access your devices, such as your computer, your phone, or your tablet, to steal your information or money. They may send you fake emails, texts, or pop-ups that ask you to click on a link, download a file, or install software. Do not do it.
They may also ask you to sign in to your online accounts, such as your email, your bank, or your Apple ID. Do not fall for these tricks. They may infect your devices with malware, spyware, or ransomware, or they may lock you out of your accounts.
The best way to protect yourself from these types of cyberthreats or having your data breached is to have antivirus protection installed on all your devices. Having good antivirus software actively running on your devices will alert you of any malware in your system, warn you against clicking on any malicious links in phishing emails, and ultimately protect you from being hacked. Get my picks for the best 2024 antivirus protection winners for your Windows, Mac, Android & iOS devices.
5) Use strong and unique passwords
Create strong passwords for your accounts and devices, and avoid using the same password for multiple online accounts. Consider using a password manager to securely store and generate complex passwords. It will help you to create unique and difficult-to-crack passwords that a hacker could never guess. Second, it also keeps track of all your passwords in one place and fills passwords in for you when you’re logging into an account so that you never have to remember them yourself. The fewer passwords you remember, the less likely you will be to reuse them for your accounts.
6) Perform regular software updates
Developers frequently release updates to patch vulnerabilities and improve overall security. Both Apple and Android issue updates regularly, so check for and install them often.
Scam alert illustration (Kurt “CyberGuy” Knutsson)
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I’ve been scammed like Andy. What to do next?
Below are some next steps if you find you or your loved one is a victim of identity theft from an imposter scam.
1) Change your passwords. If you suspect that your phone has been hacked or that someone is impersonating you, they could access your online accounts and steal your data or money. ON ANOTHER DEVICE (i.e., your laptop or desktop), you should change your passwords for all your important accounts, such as email, banking, social media, etc. You want to do this on another device so the hacker isn’t’ recording you setting up your new password on your hacked device. Use strong and unique passwords that are hard to guess or crack. You can also consider using a password manager to generate and store your passwords securely.
2) Look through bank statements and check account transactions to see where outlier activity started.
3) Use a fraud protection service. Identity Theft companies can monitor personal information like your Social Security Number (SSN), phone number, and email address and alert you if it is being sold on the dark web or being used to open an account. They can also assist you in freezing your bank and credit card accounts to prevent further unauthorized use by criminals.
Some of the best parts of using an identity theft protection service include identity theft insurance to cover losses and legal fees and a white glove fraud resolution team where a US-based case manager helps you recover any losses. See my tips and best picks on how to protect yourself from identity theft.
4) Report any breaches to official government agencies like the Federal Communications Commission.
5) You may wish to get the professional advice of a lawyer before speaking to law enforcement, especially when you are dealing with criminal identity theft and if being a victim of criminal identity theft leaves you unable to secure employment or housing
6) Alert all three major credit bureaus and possibly place a fraud alert on your credit report.
7) Run your own background check or request a copy of one if that is how you discovered your information has been used by a criminal.
8) Alert your contacts. If hackers have accessed your device through SMS spoofing, they could use them to send spam or phishing messages to your contacts. They could impersonate you and ask for money or personal information. You should alert your contacts and warn them not to open or respond to any messages from you that seem suspicious or unusual.
9) Restore your device to factory settings. If you want to make sure that your device is completely free of any malware or spyware, you can restore it to factory settings. This will erase all your data and settings and reinstall the original version. You should back up your important data BEFORE doing this, and only restore it from a trusted source.
If you are a victim of identity theft, the most important thing to do is to take immediate action to mitigate the damage and prevent further harm.
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Kurt’s key takeaways
Imposter scams are a serious threat that can cost you a lot of money and stress. Andy Cohen learned this the hard way, but he decided to share his story to help others avoid the same mistake.
By following his tips and the FTC’s advice, you can protect yourself and your loved ones from imposter scammers. Remember, if something sounds too good to be true, or too bad to be true, it probably is. Be smart, be vigilant, and be safe.
How do you think the authorities and the banks should handle imposter scams and help the victims recover their losses? Let us know by writing us at Cyberguy.com/Contact.
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Technology
The Flipper Zero creators’ Busy Bar productivity display will go on sale next month
First announced over a year ago in April 2025, the Busy Bar will be available for purchase starting on July 14th when the device also starts shipping. Created by the same team behind the Flipper Zero wireless multitool, the Busy Bar is instead described as a “productivity multitool” that relies on a pixelated LED display to help reduce distractions and improve focus. The first 3,000 units purchased on July 14th will be discounted to $199, but the Busy Bar will normally retail for $249. Those who previously joined the Busy Bar waitlist will still be able to purchase one next month for $179.
The Busy Bar looks a lot like an alarm clock, but it’s designed to be used on a desk, perched atop a monitor or cubicle wall, or mounted to a wall or door. When installed in a place where it’s visible to coworkers, family, or roommates, the Busy Bar serves as a status display letting others know when you’re focusing on a task and shouldn’t be distracted.
At the push of a button, the Busy Bar will display a highly visible status message on its 72 x 16 LED pixelated screen that can include a countdown timer so potential distractors know when you’ll be available again. Alongside the status display, the Busy Bar can start a Pomodoro timer and mute notifications on other devices. The Busy Mode can be set to automatically activate through custom triggers, including when you join a phone call, start streaming, begin recording audio, or just open a specific app. It’s also Matter-compatible, allowing it to trigger smart home automations when you need to focus, such as dimming lights or playing music on a speaker.
Flipper Devices has created an open API for the Busy Bar so developers can create their own third-party apps to expand its usefulness and capabilities. You can potentially tie it into an office’s scheduling system to indicate when meeting rooms are booked or available, for example. There will also be accompanying apps available for the device on iOS, Android, macOS, and watchOS, with a native Windows app planned for later this year.
Technology
AI may spot deadly heart risk in a routine ECG
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A routine heart test may be hiding a warning sign that doctors have missed for years. That is the big takeaway from new UC Berkeley research published in Nature. Researchers trained an artificial intelligence model to study ECGs, also called EKGs, and look for patterns tied to sudden cardiac death.
This is the scary part. Sudden cardiac arrest can strike people with known heart problems. However, it can also hit younger athletes and people who never knew they were at risk.
Each year, hundreds of thousands of Americans die after cardiac arrest. Once it happens outside a hospital, survival can drop fast. CPR and a defibrillator can save lives, but timing is everything.
Now, AI may help doctors spot some patients earlier, while their hearts still look normal by today’s common tests.
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DIABETES DRUG COULD SLASH RISK OF FATAL HEART CONDITION IN ONE GROUP, SCIENTISTS REVEAL
UC Berkeley researchers say artificial intelligence can detect hidden ECG patterns linked to sudden cardiac death that routine heart screenings may miss. (Photo by Quentin Top / Hans Lucas / AFP via Getty Images)
How AI found a hidden heart risk
An ECG records the electrical activity of your heart. It creates the familiar spikes and waves doctors review to check rhythm and other heart clues.
For this study, researchers used more than 440,000 ECGs from Sweden. They paired those scans with death certificates and health records. Then they trained the AI model to look for waveform patterns linked to sudden cardiac death.
After that, they tested the model on separate patient data from the U.S. and Taiwan. That step is important because medical AI often looks good in one dataset, then fails in the real world. Here, the model held up across very different health systems.
Why today’s heart screening can miss people
Doctors often use a measurement called left ventricular ejection fraction, or LVEF, to judge risk. In plain terms, it shows how much blood the heart pushes out with each beat.
If that number falls below a certain threshold, a patient may qualify for an implantable defibrillator. That device can shock the heart back into rhythm during a dangerous event.
However, this method leaves big gaps. Many people who die suddenly never had that deeper heart evaluation. Others may have a heart that pumps normally but still be at risk for a dangerous rhythm problem.
The UC Berkeley model found a high-risk group with a 7% annual rate of sudden cardiac death. The standard reduced LVEF group had a 4.6% annual rate.
Even more striking, most patients flagged by the AI were missed by the LVEF method. In other words, a routine ECG may hold warning signs that current screening overlooks.
AI found a hidden ECG warning sign
The researchers did more than ask AI for a risk score. They also tried to understand what the model saw. That is important because medical AI can become a black box if doctors get an answer with no clear reason behind it.
To dig deeper, the team used another AI system to compare low-risk and high-risk ECG patterns. Think of it as a way to see how a normal-looking heartbeat pattern could shift into a higher-risk one.
That comparison pointed to a visible feature in one part of the ECG called aVL. This is one of the standard views doctors use to read the heart’s electrical activity. The feature showed up in the QRS complex, the part of the ECG that reflects the heart’s main electrical signal during each beat.
Researchers say this signal strongly predicted sudden cardiac death. They also say it had not been previously described in medical literature. That raises a fascinating possibility. AI may help doctors make better predictions and spot warning signs humans have missed.
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A new AI model analyzed hundreds of thousands of ECGs and identified patients at higher risk of sudden cardiac death, even when standard heart tests appeared normal. (Photo by Andreas SOLARO / AFP via Getty Images)
Why this could change defibrillator decisions
An implantable defibrillator can save a life. Still, putting one in the wrong patient has risks. The procedure can be invasive and costly. Also, many devices placed under current rules never need to fire.
So doctors face a brutal challenge. Miss the patient who needs the device and the result can be deadly. Implant too many and patients face procedures they may never need.
This new AI tool could help narrow that gap. It may flag patients who need closer monitoring before doctors consider bigger steps.
The next phase is already underway. Researchers are working with health systems in Sweden, Taiwan and the U.S. to test the algorithm on hospital ECG databases.
If the tool flags a scan as high risk, doctors could contact the patient. The patient may then wear a heart-monitoring patch. That could reveal more about the dangerous rhythm before it turns fatal.
The privacy question no one should ignore
There is another side to this story. Medical AI needs huge datasets to work well. Researchers said it took about a decade to compile the data used in this study. That tells you how hard serious clinical AI can be.
But it also raises a fair question. Who controls the data when your scan helps train a medical model? Hospitals, researchers and AI companies need clear guardrails. Patients should know how their health records get protected, shared and used.
Before sharing more health data, review health app permissions, logins and privacy settings. Health apps can hold sensitive information, so small privacy choices can have big consequences. Better prediction can save lives. However, trust will decide how quickly people accept these tools.
What this means to you
This AI tool is promising, but you cannot use it at home today. You cannot upload an ECG and get a personal risk score. Doctors are still testing it before it becomes part of routine care. Still, the idea is powerful. A routine heart test you may have already had could one day reveal a hidden risk that today’s screening might miss.
For now, do not ignore warning signs. Fainting, unexplained dizziness, a racing heartbeat or a family history of sudden cardiac death should be discussed with a doctor. A normal checkup does not always mean every heart risk has been ruled out. If your doctor wants you to track blood pressure, compatible cuffs can sync readings with Apple Health. Wearables can also flag some heart-health clues, including possible hypertension alerts, but they do not replace a doctor.
Also, know what to do in an emergency. Learn CPR if you can. Look for AEDs at work, school, gyms and public places. When cardiac arrest happens, fast action can help save a life.
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Researchers say AI uncovered a previously unknown ECG warning sign that could help doctors identify dangerous heart rhythm disorders earlier. (Photo: Arne Dedert/dpa (Photo by Arne Dedert/picture alliance via Getty Images)
Kurt’s key takeaways
This is the kind of AI breakthrough that grabs me because it starts with something so ordinary: a routine ECG. Many of us have had one. You lie back, a few stickers go on your chest and a machine prints out a wave pattern most people never think about again. Now, researchers say AI may be able to find a hidden warning sign in that pattern. That is powerful because sudden cardiac death often gives families no time to prepare and doctors no second chance. However, this tool still needs more testing before it becomes part of everyday care. Doctors need to know it works across more patients. Hospitals need a plan for what happens after an AI alert. Patients also deserve clear privacy protections when their medical scans help train these systems. Still, the idea is hard to ignore. A common heart test could someday help spot danger before a person collapses. That to me is hopeful, unsettling and exactly why this kind of medical AI deserves very close attention.
Would you want an AI system scanning your old medical tests for hidden health risks? Let us know by writing to us at CyberGuy.com
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Technology
China’s Z.ai claims it can match Mythos on cybersecurity
China’s Zhipu AI (Z.ai) released its open-weight GLM-5.2, and some researchers have claimed that it matches Mythos in certain bug-finding and cybersecurity scenarios. While GLM lags behind models from Anthropic and OpenAI in other, more general tasks, it seems that China has dramatically reduced the gap in the capabilities between its models and those of the US.
This level of advancement is particularly concerning to the US government, which has worked to restrict China’s access to powerful models like Anthropic’s Mythos and Fable, as well as the hardware necessary to train and run them. The Trump administration views Mythos and other advanced AI models capable of identifying vulnerabilities as serious national security threats. Recently, OpenAI unveiled GPT-5.6, which has also raised concerns about its potential for misuse and has limited access to it.
Because GLM is an open-weight model, it can be downloaded and run by anyone on readily available hardware. That gives it great flexibility and allows power users deep access, but it also makes it ripe for abuse by bad actors who can run it with little oversight.
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