The Odido breach leaks were towards the beginning during this week's update. I recorded it the day after the second dump of data had hit, with a third dump coming a few hours later, and a final dump of everything the day after that. From what I hear, it dominated the news in the Netherlands, and we sure saw that through the traffic stats. Clearly, the leak cadence was designed for maximum news impact, and it seems to have achieved that. It may not have put any cash in the extortionist's pockets, but it's set a very visible precedent and, I suspect, put a massive law enforcement target on them. It's hard to image leaks of this impact continuing for much longer...

Well, the ESP32 Bluetooth bridge experiment was a complete failure. Not the radios themselves, they're actually pretty cool, but there's just no way I could get the Yale locks to be reliably operated by them. At a guess, BLE is a bit too passive to detect state changes, and unless it was awake and communicating, it just had no idea what was happening with the locks. So, I've now silenced all lock-related alerts and am focusing on making the wifi network as reliable as possible in the hope the locks actually become responsive. If that doesn't work, those Aqara U400s look really sweet...

A big "thank you" to everyone who helped me troubleshoot the problem with my "Print Screen" button on the new PC. Try as we all might, none of us could figure out why it refused to bind to SnagIt and instead insisted on dumping the entire collection of screens to a file on the desktop. But an especailly big thanks to the follower who later emailed me with an idea that didn't work, and followed up with an idea that finally did!

So, yeah, thanks Logitech for making this a real pain in the arse 🤦‍♂️

This week I'm in Hong Kong, and the day after recording, I gave the talk shown in the image above at INTERPOL's Cybercrime Expert Group. I posted a little about this on Facebook and LinkedIn, but thought I'd expand on what really stuck with me after watching other speakers: the effort agencies are putting into cybercrime prevention. It's very easy for folks to judge law enforcement solely on what they see from the outside, and that's mostly going after offenders and taking down criminal infrastructure. But the bit I'm increasingly seeing behind the scenes is a push to help kids (the sorts of hackers I usually interact with are teenagers or young adults at most) make better choices when they're faced with a pathway into cybercrime. The transition from minor offences (game cheats and DDoS'ing) to full-on cybercriminals (hacking and extortion) is very well-known, and intervening at the right time can not only make a difference to the impact of data breaches on all of us, but it can also make a massive difference to these kids' lives. These agencies are underfunded and understaffed compared to the scale of the problem, so making the time to come visit and find some ways to help in our little corner of the data breach world is a no-brainer 😊

It's the discussion about the reaction of some people in the UK regarding their impending social media ban for under 16s that bugged me most. Most noteably was the hand-waving around "the gov is just trying to siphon up all our IDs" and "this means everyone will have to show ID, not just under 16s". If only there was another precedent somewhere in the world where precisely this model was rolled... oh - wait! 🐨 The way the ban (sorry - "delay") has been done in Australia isn't perfect, but it also doesn't have to be. There are still plenty of under 16s with access so socials, but I do not know of a single adult who had had to show any form of ID or do any age verification whatsoever. So, relax, wait until we know more about how thye're planning to do it (and the UK gov will be closely looking at the Aussie precedent), and then lose your minds if it's done totally differently at the expense of everyone's privacy.

I thought Scott would cop it first when he posted about what his solar system really cost him last year. "You're so gonna get that stupid AI-slop response from some people", I joked. But no, he got other stupid responses instead! And I got the AI-slop responses! Draw your own conclusions on those comments, but I find it fascinating that the one thing people would take away from a thoughtful blog post I spent many hours writing to explain how much work I put into privacy is that the illustration was computer-generated. That such feedback aligns with the political leanings of folks on Mastodon is also fascinating, and probably something I should have seen coming. But hey, there's nothing new about folks popping their heads up to make inane comments where none were needed, and I have a special blog post for just such occasions: If You Don't Want Guitar Lessons, Stop Following Me.

I’m in Oslo! Flighty is telling me I’ve flown in or out of here 43 times since a visit in 2014 set me on a new path professionally and, many years later, personally. It’s special here, like a second home that just feels… right. This week, the business end of things is about the WhiteDate data breach. Seeking a partner along common racial lines isn’t unusual, but… well… WhiteDate is anything but usual. And, just for fun, see if you can pick the thing that garnered the most negative feedback about that blog post this week, I’ll feature the discussion in the next vid.

Remember the Ashley Madison data breach? That was now more than a decade ago, yet it arguably remains the single most noteworthy data breach of all time. There are many reasons for this accolade, but chief among them is that by virtue of the site being expressly designed to facilitate extramarital affairs, there was massive social stigma attached to it. As a result, we saw some pretty crazy stuff:

1. Various websites were stood up to publicly disclose the presence of people in the data and out them as “cheaters”
2. Churches trawled through the data and contacted the spouses of exposed parishioners
3. The media outed noteworthy individuals they searched for in the breach
4. A radio station back home in Australia encouraged listeners to dial in to check if their spouse was in the data

Arguably, we now live in a more privacy-conscious era, one full of acronyms such as GDPR and CCPA, among others, in different parts of the world. The right to be forgotten, the right to erasure, and, indeed, privacy as a fundamental human right feature very differently in 2026 than they did in 2015. But arguably, even back then, the impact of outing someone as a member of the site should have been obvious. It was certainly obvious to me, which is why I introduced the concept of a sensitive data breach before the data even went public. HIBP wouldn’t show results for this breach publicly because I was concerned about the impact on people being outed. My worst fear was a spouse coming home to find someone having taken their own life, an HIBP search result on the screen in front of their lifeless body.

People died as a result of the breach. Marriages ended and lives were turned upside down. People lost their jobs. The human toll of the breach was profound. The decision I made after witnessing this was that if a breach was likely to have serious personal or social consequences for people in there, it would be flagged as sensitive and not publicly searchable.

The public doxing of members of the service was often justified on a moral basis: “adultery is bad, they deserve to be outed”. But there are two massive problems with this attitude, and I’ll begin with the purpose for which accounts were sometimes made:

An email address appearing in that breach implied that the person was there to have an extramarital affair because that was literally the catch-phrase of the service: “Life is short, have an affair”. But the reality was that people were members of the service for many, many different reasons. Have a read of my post titled Here’s What Ashley Madison Members Have Told Me and you’ll begin to understand how much more nuanced the situation was:

1. Single people had joined the service, and later married before the breach occurred
2. People who were worried about a cheating spouse joined the service in order to try to catch them
3. Accounts were made with some people’s names and email addresses without their consent (there are many “Barrack Obamas” in the data)

So, should everyone with an email address on Ashley Madison be considered an adulterer? Clearly, no, that completely misses the nuances of what an email address in a data breach really means. But what about the people who were there to have an affair? Well, that brings us to the second problem:

Our own personal belief systems are not a valid basis for outing people publicly because their belief systems differ. I used more generic terms than “extramarital affair” or “cheating” because there are many other data breaches that are flagged as sensitive in HIBP for the very same reason. Fur Affinity, for example: there is a social stigma around furries and outing someone as a member of that community could have negative consequences for them. Rosebutt Board is another example: anal fisting is evidently something a bunch of people are into, and equally, I’m sure there are many who take a moral objection to it. And finally, to get to the catalyst for this post, WhiteDate: the website that is ostensibly designed for white people to date other white people. Flagging that as sensitive resulted in some unsavoury commentary being directed at me:

U are a Nazi end of story

— 𝔗𝔥𝔢ℑ𝔡𝔦𝔬𝔱 (@fuckelonsob) January 6, 2026

Now, I emphasised “ostensibly” because the more you dig into this breach, the more you find tones of white supremacy and other behaviours that definitely don’t align with my personal value system. That societal view doesn’t sit well with me, and I think I’m safe in saying it wouldn’t sit well with most people. Would someone being outed as a member of that service be likely to result in “serious personal or social consequences”? Yes, and you can see that in the messaging from the same account:

Context matters. U are literally shielding Nazi hate mongering scoundrels. We can't doxx white supremacists?

If ISIS had a dating site & it got breached, would you protect it out of fear of doxxing? No.

Every database leaked is sensitive in a way.

— 𝔗𝔥𝔢ℑ𝔡𝔦𝔬𝔱 (@fuckelonsob) January 6, 2026

This behaviour is precisely what I don’t want HIBP being used for: as a weapon to attack people solely on the basis of their email address being affiliated with a website that has had a data breach.

Imagine, for a moment, if ISIS did have a dating site and it was breached, should it be flagged as sensitive? Contrary to the comment about "every database leaked is sensitive", there is a clear legal definition for sensitive personal information and it includes:

personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs;

trade-union membership;

genetic data, biometric data processed solely to identify a human being;

health-related data;

data concerning a person’s sex life or sexual orientation.

An ISIS dating website breach would tick many of the boxes above and would therefore constitute a sensitive data breach. That's not an endorsement of what they stand for; it's simply a data-processing decision. But there may be a nuance in there which I didn't see present in the WhiteDate data - what if it contained illegal activity? (Sidenote: for the most part, HIBP is used by people in Western Europe, North America and Australasia, so when I say "illegal", I'm looking at it through that lens. Clearly, there are parts of the world where our "illegal" is their "normal", which further complicates how I run a service accessible from every corner of the world.) I had another example recently that went well beyond moral contention and deep into the realm of illegality:

New sensitive breach: "AI girlfriend" site Muah[.]ai had 1.9M email addresses breached last month. Data included AI prompts describing desired images, many sexual in nature and many describing child exploitation. 24% were already in @haveibeenpwned. More: https://t.co/NTXeQZFr2x

— Have I Been Pwned (@haveibeenpwned) October 8, 2024

Of all the different things people can disagree on when it comes to our moral compasses, paedophilia is where we unanimously draw the line. But I still flagged it as sensitive because of the reasons outlined above. Many people using the service were just lonely guys trying to create an AI girlfriend with no prompts around age. There would be email addresses in there that weren’t entered by the rightful owner. And then, there are cases like this:

That's a firstname.lastname Gmail address. Drop it into Outlook and it automatically matches the owner. It has his name, his job title, the company he works for and his professional photo, all matched to that AI prompt. pic.twitter.com/wpXQMBLf3B

— Troy Hunt (@troyhunt) October 9, 2024

I sat there with my wife, looking at the LinkedIn profile that used the same email address as the person who posted that comment. We looked at his photo and at the veneer of professionalism that surrounded him on that site, knowing what he had written in that prompt above. It was repulsive. Further, beyond being solely an affront to our morals, it was clearly illegal. So, I had many conversations with law enforcement agencies around the world and ensured they had access to the data. Involving law enforcement where data sets contain illegal activity is absolutely the right approach here, but equally, not being the vehicle for implying someone’s affiliation or beliefs and doxing them publicly without due process is also absolutely the right approach.

I understand the gut reaction that flagging a breach like WhiteDate as sensitive protects people whom most of us do not like. But a dozen years of running this service have caused me to consider individual privacy and rights literally hundreds of times, and these conclusions aren’t arrived at hastily. Imagine for a moment, the possible ramifications for HIBP if the service were used to publicly shame someone as a "Nazi" and that, in turn, had serious real-world consequences for them. Whether that implication was right or not, there are potentially serious ramifications for us that could well leave us unable to operate at all. And, as the Ashley Madison examples show, there are also potentially life-threatening outcomes for individuals.

I don't particularly care about one random, anonymous X account making poorly thought-out statements, but the same sentiment has been expressed after loading previous similar breaches, and it deserves a blog post. Equally, I've written before about why all the other data breaches are publicly searchable and again, that conclusion is not arrived at lightly.

I’ll finish with a note about privacy that relates to my earlier comment about it being a human right. It's literally a human right under Article 12 of the Universal Declaration of Human Rights:

No one shall be subjected to arbitrary interference with his privacy, family, home or correspondence, nor to attacks upon his honour and reputation. Everyone has the right to the protection of the law against such interference or attacks.

Breaches with legally defined sensitive data will continue to be flagged as sensitive, and breaches with illegal data will continue to be forwarded to law enforcement agencies.

15 mins and 40 seconds. That's how long it took to troubleshoot the first tech problem of 2026, and that's how far you'll need to skip through this video to hear the audio at normal volume. The problem Scott and I had is analogous to the troubleshooting so many of us do in our roles day in and day out:

1. This should work fine
2. It doesn't work, and I don't know why
3. I did something that seems unrelate,d and now it works
4. I still don't know why

Anyway, I've cleaned up the audio-only version for the podcast, but I can't change the YouTube version once it's streamed, so apologies, just pump your volume up for the first quarter hour. And Happy New Year!

Building out an IoT environment is a little like the old Maslow's Hierarchy of Needs. All the stuff on the top is only any good if all the stuff on the bottom is good, starting with power. This week, I couldn't even get that right, but thankfully, sparky to rescue and ensuite underfloor heating disconnected, and we now have reliable power again. On top of that is the layer that has increasingly been my nemesis - the network. Two days after recording, I've just spent the better part of the entire day making a much more concerted effort to adjust channel and power settings on APs, lock clients that don't move to the APs that make the most sense, and generally just screw around with it until stuff worked. And then I turned off a circuit, turned it back on again, and all hell broke loose 😭

References

1. Sponsored by: 1Password Extended Access Management: Secure every sign-in for every app on every device.

Perhaps it's just the time of year where we all start to wind down a bit, or maybe I'm just tired after another massive 12 months, but this week's vid is way late. Ok, going away to the place that had just been breached (ironic!) didn't help, but I think in general the pace we've maintained this year just needs to come back a bit. That said, I'll try to get this week's and next week's out on time, then it's off on travels for the next four weeks after that. Stay tuned for more IoT problems in a few days from now 🤦‍♂️

References

1. Sponsored by: Malwarebytes Browser Guard blocks phishing, ads, scams, and trackers for safer, faster browsing
2. Spicers Retreats suffered a data breach they attributed back to an attack on the Mews reservation platform (timely, given we had a getaway booked there only a couple of days later)
3. We worked through 630 million more passwords provided by the FBI (that includes 46 million we've never seen before)
4. Hmmm... spam to a Qantas-only email address, wonder where that might have come from? (this should be impossible because there's an injunction in place 🤦‍♂️)

The sheer scope of cybercrime can be hard to fathom, even when you live and breathe it every day. It's not just the volume of data, but also the extent to which it replicates across criminal actors seeking to abuse it for their own gain, and to our detriment.

We were reminded of this recently when the FBI reached out and asked if they could send us 630 million more passwords. For the last four years, they've been sending over passwords found during the course of their investigations in the hope that we can help organisations block them from future use. Back then, we were supporting 1.26 billion searches of the service each month. Now, it's... more:

Just as it's hard to wrap your head around the scale of cybercrime, I find it hard to grasp that number fully. On average, that service is hit nearly 7 thousand times per second, and at peak, it's many times more than that. Every one of those requests is a chance to stop an account takeover. But the real scale goes well beyond the API itself. Because the data model is open source and freely available, many organisations use the Pwned Passwords Downloader to take the entire corpus offline and query it directly within their own applications. That tool alone calls the API around a million times during download, but the resulting data is then queried… well, who knows how many times after that. Pretty cool, right?

This latest corpus of data came to us as a result of the FBI seizing multiple devices belonging to a suspect. The data appeared to have originated from both the open web and Tor-based marketplaces, Telegram channels and infostealer malware families. We hadn't seen about 7.4% of them in HIBP before, which might sound small, but that's 46 million vulnerable passwords we weren't giving people using the service the opportunity to block. So, we've added those and bumped the prevalence count on the other 584 million we already had.

We're thrilled to be able to provide this service to the community for free and want to also quickly thank Cloudflare for their support in providing us with the infrastructure to make this possible. Thanks to their edge caching tech, all those passwords are queryable from a location just a handful of milliseconds away from wherever you are on the globe.

If you're hitting the API, then all the data is already searchable for you. If you're downloading it all offline, go and grab the latest data now. Either way, go forth and put it to good use and help make a cybercriminal's day just that much harder 😊

Twelve years (and one day) since launching Have I Been Pwned, it's now a service that Charlotte and I live and breathe every day. From the first thing every morning to the last thing each day, from holidays to birthdays, in sickness and in heal... wait a minute - did we marry each other or a data breach service?! We decided to do a 12th-birthday special together today to give everyone a bit more insight into what she does and what life is like running this service. It's a different weekly vid, and we really hope you enjoy watching it 😊

References

1. Sponsored by: Report URI: Guarding you from rogue JavaScript! Don’t get pwned; get real-time alerts & prevent breaches #SecureYourSite
2. Just because a "fake" email address is in HIBP, it doesn't mean HIBP isn't accurately indexing data breaches (if it looks like an email address, it's an email address)

Normally, when someone sends feedback like this, I ignore it, but it happens often enough that it deserves an explainer, because the answer is really, really simple. So simple, in fact, that it should be evident to the likes of Bruce, who decided his misunderstanding deserved a 1-star Trustpilot review yesterday:

Now, frankly, Trustpilot is a pretty questionable source of real-world, quality reviews anyway, but the same feedback has come through other channels enough times that let's just sort this out once and for all. It all begins with one simple question:

What is an Email Address?

You think you know - and Bruce thinks he knows - but you might both be wrong. To explain the answer to the question, we need to start with how HIBP ingests data, and that really is pretty simple: someone sends us a breach (which is typically just text files of data), and we run the open source Email Address Extractor tool over it, which then dumps all the unique addresses into a file. That file is then uploaded into the system, where the addresses are then searchable.

The logic for how we extract addresses is all in that Github repository, but in simple terms, it boils down to this:

1. There must be an @ symbol
2. There can be up to 64 characters before it (the alias)
3. There can be up to 255 characters after it (the domain)
4. The domain must contain a period
5. The domain must also have a valid TLD
6. A few other little criteria that are all documented in the public repo

That is all! We can't then tell if there's an actual mailbox behind the address, as that would require massive per-address processing, for example, sending an email to each one and seeing if it bounces. Can you imagine doing that 7 billion times?! That's the number of unique addresses in HIBP, and clearly, it's impossible. So, that means all the following were parsed as being valid and loaded into HIBP (deep links to the search result):

1. test@example.com
2. _test@google.com
3. fuckingwasteoftime@foo.com

I particularly like that last one, as it feels like a sentiment Bruce would express. It's also a great example as it's clearly not "real"; the alias is a bit of a giveaway, as is the domain ("foo" is commonly used as a placeholder, similar to how we might also use "bar", or combine them as "foo bar"). But if you follow the link and see the breach it was exposed in, you'll see a very familiar name:

Which brings us to the next question:

How Do "Fake" Email Addresses End up in Real Websites?

This is also going to seem profoundly simple when you see it. Here goes:

Any questions, Bruce? This is just as easily explainable as why we considered it a valid address and ingested it into HIBP: the email address has a valid structure. That is all. That's how it got into Adobe, and that's how it then flowed through into HIBP.

Ah, but shouldn't Adobe verify the address? I mean, shouldn't they send an email to the address along the lines of "Hey, are you sure you want to sign up for this service?" Yes, they should, but here's the kicker: that doesn't stop the email address from being added to their database in the first place! The way this normally works (and this is what we do with HIBP when you sign up for the free notification service) is you enter the email address, the system generates a random token, and then the two are saved together in the database. A link with the token is then emailed to the address and used to verify the user if they then follow that link. And if they don't follow that link? We delete the email address if it hasn't been verified within a few days, but evidently, Adobe doesn't. Most services don't, so here we are.

How Can I Be Really Sure Actual Fake Addresses Aren't in HIBP?

This is also going to seem profoundly obvious, but genuinely random email addresses (not "thisisfuckinguseless@") won't show up in HIBP. Want to test the theory? Try 1Password's generator (yes, Bruce, they also sponsor HIBP):

Now, whack that on the foo.com domain and do a search:

Huh, would you look at that? And you can keep doing that over and over again. You’ll get the same result because they are fabricated addresses that no one else has created or entered into a website that was subsequently breached, ipso facto proving they cannot appear in the dataset.

Conclusion

Today is HIBP's 12th birthday, and I've taken particular issue with Bruce's review because it calls into question the integrity with which I run this service. This is now the 218th blog post I've written about HIBP, and over the last dozen years, I've detailed everything from the architecture to the ethical considerations to how I verify breaches. It's hard to imagine being any more transparent about how this service runs, and per the above, it's very simple to disprove the Bruces of the world. If you've read this far and have an accurate, fact-based review you'd like to leave, that'd be awesome 😊

Well, I now have the answer to how Snapchat does age verification for under-16s: they give an underage kid the ability to change their date of birth, then do a facial scan to verify. The facial scan (a third party tells me...) allows someone well under 16 to pass it easily. So, is that control "reasonable"? I guess that will depend on whether this case is an outlier or a much more common scenario, and a sample set of one isn't particularly scientific. Either way, I expect that what we're seeing is representative of a pretty obvious problem: privacy-preserving age verification is very unlikely to be reliable. It will inevitably result in letting too many young kids through, whilst blocking too many people of legitimate age. Or we end up with people needing to start uploading formal age-verification documents, which creates a whole new problem. Absolutely none of this should come as any surprise whatsoever!

References

1. Sponsored by: Report URI: Guarding you from rogue JavaScript! Don’t get pwned; get real-time alerts & prevent breaches #SecureYourSite
2. This week, it's all about Australia's social media ban for under 16s (link to the thread that sparked all the debate)
3. I wrote about "sharenting" back in 2020 (lots in there about protecting kids online whilst also making appropriate use of technology)
4. Our eSafety Commissioner has an FAQ on what the ban means (lot of use of the word "reasonable" in there)

It usually starts with something small.

You’re scrolling TikTok or Instagram, half-paying attention, when a Black Friday ad pops up. It looks like the brand you love—same logo, same photos, same “limited-time deal” language you’ve seen in real promos. The link takes you to a site that looks identical to the real one. The checkout page works. The confirmation email looks legit.

Then the payment clears, and the merchant name on your bank statement doesn’t match the store at all.

That moment, wait, what did I just buy from?, is becoming the defining holiday-shopping scam of 2025.

This year, fake ads and cloned storefronts aren’t sketchy one-offs or typo-filled red flags. They’re polished. They’re identical. And increasingly, they’re powered by AI.

McAfee’s 2025 holiday research found that nearly half of Americans (46%) have already encountered AI-altered or AI-generated scams while shopping. And with 96% of people planning to shop online, many doing so daily, scammers know this is peak opportunity.

Here’s how fraudsters are blending into the busiest shopping season of the year, what the data shows, and how to stay one step ahead.

Why Scammers Are So Effective Right Now

A perfect storm is happening:

People are shopping more often.
Nearly half of U.S. adults expect to shop online daily or multiple times per day during the holidays.

People are rushed.
From early Black Friday “price drop” alerts to Cyber Monday countdowns, shoppers don’t slow down to verify what they’re seeing.

AI makes scam content nearly flawless.
McAfee found technology email scams surging ~85%, retail email scams rising ~50%, and fraudulent URLs climbing across the board—from counterfeit Apple support pages to fake Costco refund portals.

Holiday deals are already rolling out—and so are the scams.

McAfee’s 2025 holiday research shows major spikes in email scams (~50% increase), technology scams (~85% increase), and fake storefronts that mimic trusted retailers. AI tools are making these scams faster, more realistic, and harder to spot.

It’s not that shoppers suddenly got careless.

It’s that scammers suddenly got good.

The 2025 Scams Hitting Shoppers the Hardest

1. Fake Retail Sites & “Deal” Pages That Look Real

This is the big one, and it’s getting cleaner every year.

Scammers lift entire storefronts:

• Logos
• Product photos
• Sale graphics
• Checkout flows
• Even fake customer service pages

The only giveaway? A URL that’s juuust slightly off—“target-sale.com” instead of “target.com,” or a link ending in “.shop” or “.store” rather than a brand’s normal domain.

Once you enter your payment info, it goes directly into a database that criminals resell or use to make purchases.

How to spot and avoid this scam: Skip the ad. Type the retailer’s name into your browser yourself. If it’s a real deal, you’ll find it on their actual site.

2. TikTok, Instagram & Social Video Scams

Short-form videos are now a prime scam vehicle.

Scammers steal influencer footage, use AI voice clones, or generate deepfake “promo” videos with celebrities offering huge holiday discounts. When someone clicks the link, it leads straight to a counterfeit store.

According to McAfee:

• 46% have encountered fake influencer/celebrity endorsements
• Younger shoppers (18–34) see them most
• Many appear during holiday-sale cycles on TikTok Shop and Instagram Shopping
• US – Holiday Shopping 2025 fact…

How to spot and avoid this scam: Check the creator’s account history. Real brands don’t drop one-off promo videos from accounts you’ve never seen before. Same as our initial advice, skip the ad entirely and go directly to the official brand website rather than clicking any links.

3. Delivery & Shipping Text Scams

The classic delivery scam is back, with McAfee researchers finding dozens of examples of fake messages attempting to scam holiday shoppers.

You’ll receive a text saying a package can’t be delivered or that a small fee is needed to confirm your address.

McAfee found that 43% of people have encountered fake delivery notifications, and many victims say they entered credit card information thinking they were resolving a legitimate issue.

How to spot and avoid this scam: UPS, USPS, and FedEx will never send a clickable payment link in a text. If you’re wondering about a specific delivery, go directly to the site you ordered it from, or your original receipt in your email to find your tracking information.

4. Account Verification & Gift Card Scams

These hit during the weeks leading up to the holidays.

Messages claim:

• Your Amazon account is locked
• Your Apple ID has “suspicious activity”
• Your loyalty points are expiring
• You must verify your payment information
• You must pay a fee or gift card to resolve an issue

How to spot and avoid this scam:
No legitimate company will ever resolve account issues through gift cards or text-confirmation codes.

How AI Is Supercharging These Scams

Not long ago, scam emails had broken English and pixelated logos.

Now scammers use generative AI to:

• Clone real brand websites
• Rewrite perfect phishing emails
• Fake customer service chatbots
• Produce Hyper-real video ads
• Replicate influencer voices
• Generate thousands of unique scam texts instantly

And people are noticing.

57% of shoppers say they’re more concerned about AI scams this year than last.

Yet 38% believe they can spot scams—even though 22% have fallen for one.

Confidence ≠ protection.

What to Do if You Think You’ve Encountered a Scam

If something feels off—a message, a link, a charge on your bank statement—don’t panic. Most holiday scams rely on speed and confusion. Slowing down and taking a few simple steps can keep a bad situation from turning into real damage.

1. Stop engaging immediately

Close the tab, delete the message, and don’t click anything else.
Scammers often stack multiple pop-ups or redirects to pressure you into acting fast.

2. Don’t enter any additional information

If you started typing in a password or card number but didn’t hit “submit,” back out.
If you did enter details, move to the next steps right away.

3. Change your passwords (starting with the affected account)

Use a strong, unique password—especially for accounts tied to:

• email
• shopping apps
• banking
• cloud storage

A reused password is how one compromised login unlocks everything else. McAfee offers a password manager to help you make and store strong, unique passwords.

4. Check your bank or credit card for unexpected charges

Fraud usually starts small: $1–$5 “test” charges, odd merchant names, or tiny withdrawals.
If you see anything suspicious, contact your bank and request:

• a card replacement
• a fraud alert
• a temporary account freeze, if necessary

5. Run a security scan on your device

Some fake sites drop malware or spyware quietly in the background.
A quick scan can detect:

• malicious downloads
• browser hijackers
• unsafe extensions
• keyloggers

McAfee offers a free antivirus trial that you can use to scan your device and check for compromises.

6. Report the scam

Reporting helps stop other shoppers from being targeted.
You can report scams to:

• the retailer being impersonated
• the platform where you saw the ad (TikTok, Instagram, Facebook)
• your national fraud reporting center

7. Let technology help you clean up

McAfee can automatically detect whether the link, message, or site you interacted with is malicious—and alert you if your information may have been exposed.
Tools like:

• Scam Detector (Built into all core McAfee plans, flags scam texts, emails, and deepfakes)
• Web Protection (malicious or suspicious websites before they load)
• Identity & Financial Monitoring (Credit Monitoring can alert you to unusual account activity)

can help contain an issue before it turns into identity theft.

Need a Gift for the Practical Person in Your Life? Consider Giving Them Scam Protection

There’s always someone on your holiday list who doesn’t want more stuff, they want something useful. The friend who loves a clean inbox. The sibling who’s constantly traveling. The parent who keeps forwarding you suspicious texts asking, “Is this real?”

For them, security might actually be the most thoughtful gift you can give this year.

Online safety tools aren’t flashy, but they are the thing people reach for the moment they click the wrong link, lose a password, or get a sketchy delivery text. And with scams more believable than ever, digital protection has quietly become a new “practical essential,” like a good VPN or a reliable password manager.

Gifting McAfee means giving someone:

Scam protection that works quietly in the background
Scam Detector flags dangerous messages, deepfake-style content, and fake shopping sites before they ever interact with them.

Identity & financial monitoring
A huge help for anyone who’s been burned by fraud in the past — or is tired of checking bank statements manually.

Password security that doesn’t require them to remember anything
Perfect for the person who uses the same password everywhere (and you know exactly who I mean).

Device protection for laptops, phones, and tablets
Which is especially relevant for people shopping, traveling, or working remotely through the holiday season.

It’s practical. It’s protective. And unlike most presents, it’s something they’ll use all year.

The post How To Protect Yourself from Black Friday and Cyber Monday AI Scams  appeared first on McAfee Blog.

I gave up on the IoT water meter reader. Being technical and thinking you can solve everything with technology is both a blessing and a curse; dogged persistence has given me the life I have today, but it has also burned serious amounts of time because I never want to let a problem go unsolved. But sometimes, common sense and the ROI of my time have to prevail, so I packed up all the gear and went back to processing data breaches. If you happen to solve this problem in a way that doesn't require any more time investment on my end, I'd love to hear it 😊

References

1. Sponsored by: 1Password Extended Access Management: Secure every sign-in for every app on every device
2. We've had a massive month on HIBP (20M+ visits is a solid number!)

We’re standing at the threshold of a new era in cybersecurity threats. While most consumers are still getting familiar with ChatGPT and basic AI chatbots, cybercriminals are already moving to the next frontier: Agentic AI. Unlike the AI tools you may have tried that simply respond to your questions, these new systems can think, plan, and act independently, making them the perfect digital accomplices for sophisticated scammers. The next evolution of cybercrime is here, and it’s learning to think for itself.

The threat is already here and growing rapidly. According to McAfee’s latest State of the Scamiverse report, the average American sees more than 14 scams every day, including an average of 3 deepfake videos. Even more concerning, detected deepfakes surged tenfold globally in the past year, with North America alone experiencing a 1,740% increase.

At McAfee, we’re seeing early warning signs of this shift, and we believe every consumer needs to understand what’s coming. The good news? By learning about these emerging threats now, you can protect yourself before they become widespread.

A Real-World Example: How Anthropic’s Claude AI Was Used for Espionage

A new case disclosed by Anthropic, first reported by Axios, marks a turning point: a Chinese state-sponsored group used the company’s Claude Code agent to automate the majority of an espionage campaign across nearly thirty organizations. Attackers allegedly bypassed guardrails through jailbreaking techniques, fed the model fragmented tasks, and convinced it that it was conducting defensive security tests. Once operational, the agent performed reconnaissance, wrote exploit code, harvested credentials, identified high-value databases, created backdoors, and generated documentation of the intrusion. In all, they completed 80–90% of the work without any human involvement.

This is the first publicly documented case of an AI agent running a large-scale intrusion with minimal human direction. It validates our core warning: agentic AI dramatically lowers the barrier to sophisticated attacks and turns what was once weeks of human labor into minutes of autonomous execution. While this case targeted major companies and government entities, the same capabilities can, and likely will, be adapted for consumer-focused scams, identity theft, and social engineering campaigns.

Understanding AI: From Simple Tools to Autonomous Agents

Before we dive into the threats, let’s break down what we’re actually talking about when we discuss AI and its evolution:

Traditional AI: The Helper

The AI most people know today works like a very sophisticated search engine or writing assistant. You ask it a question, it gives you an answer. You request help with a task, it provides suggestions. Think of ChatGPT, Google’s Gemini, or the AI features on your smartphone. They’re reactive tools that respond to your input but don’t take independent action.

Generative AI: The Creator

Generative AI, which powers many current scams, can create content like emails, images, or even fake videos (deepfakes). This technology has already made scams more convincing by cloning real human voices and eliminating telltale signs like poor grammar and obvious language errors.

The impact is already visible in the data. McAfee Labs found that for just $5 and 10 minutes of setup time, scammers can create powerful, realistic-looking deepfake video and audio scams using readily available tools. What once required experts weeks to produce can now be achieved for less than the cost of a latte—and in less time than it takes to drink it.

Agentic AI: The Independent Actor

Agentic AI represents a fundamental leap forward. These systems can think, make decisions, learn from mistakes, and work together to solve tough problems, just like a team of human experts. Unlike previous AI that waits for your commands, agentic AI can set its own goals, make plans to achieve them, and adapt when circumstances change

Key Characteristics of Agentic AI:

• Autonomous operation: Works without constant human guidance from a cybercriminal
• Goal-oriented behavior: Actively pursues specific objectives without requiring regular input.
• Adaptive learning: Improves performance based on experience through previous attempts.
• Multi-step planning: Can execute complex, long-term strategies based on the requirements of the criminal.
• Environmental awareness: Understands and responds to changing conditions online.

Gartner predicts that by 2028, a third of our interactions with AI will shift from simply typing commands to fully engaging with autonomous agents that can act on their own goals and intentions. Unfortunately, cybercriminals won’t be far behind in exploiting these capabilities.

The Scammer’s Apprentice: How Agentic AI Becomes the Perfect Criminal Assistant

Think of agentic AI as giving scammers their own team of tireless, intelligent apprentices that never sleep, never make mistakes, and get better at their job every day. Here’s how this digital apprenticeship makes scams exponentially more dangerous.

Traditional scammers spend hours manually researching targets, scrolling through social media profiles, and piecing together personal information. Agentic AI recon agents operate persistently and autonomously, self-prompting questions like “What data do I need to identify a weak point in this organization?” and then collecting it from social media, breach data, exposed APIs and cloud misconfigurations.

What The Scammer’s Apprentice Can Do

• Continuous surveillance: Monitors your social media posts, job changes, and online activity 24/7.
• Pattern recognition: Identifies your routines, interests, and vulnerabilities from scattered digital breadcrumbs.
• Relationship mapping: Understands your connections, colleagues, and family relationships.
• Behavioral analysis: Learns from your communication style, preferred platforms, and response patterns.

Unlike traditional phishing that uses static messages, agentic AI can dynamically update or alter their approach based on a recipient’s response, location, holidays, events, or the target’s interests, marking a significant shift from static attacks to highly adaptive and real-time social engineering threats.

An agentic AI scammer targeting you might start with a LinkedIn message about a job opportunity. If you don’t respond, it switches to an email about a package delivery. If that fails, it tries a text message about suspicious account activity. Each attempt uses lessons learned from your previous reactions, becoming more convincing with every interaction.

AI-generated phishing emails achieve a 54% click-through rate compared to just 12% for their human-crafted counterparts. With agentic AI, scammers can create messages that don’t just look professional, they sound exactly like the people and organizations you trust.

The technology is already sophisticated enough to fool even cautious consumers. As McAfee’s latest research shows, social media users shared over 500,000 deepfakes in 2023 alone. The tools have become so accessible that scammers can now create convincing real-time avatars for video calls, allowing them to impersonate anyone from your boss to your bank representative during live conversations.

Advanced Impersonation Capabilities:

• Voice cloning: Create phone calls that sound exactly like your boss, family member, senator, or bank representative
• Writing style mimicry: Craft emails that perfectly match your company’s communication style.
• Visual deepfakes: Generate fake video calls for “face-to-face” verification.
• Context awareness: Reference specific projects, recent conversations, or personal details

Perhaps most concerning is agentic AI’s ability to learn and improve. As the AI interacts with more victims over time, it gathers data on what types of messages or approaches work best for certain demographics, adapting itself and refining future campaigns to make each subsequent attack more powerful, convincing, and effective. This means that every failed scam attempt makes the AI smarter for its next victim. Understanding how agentic AI will transform specific types of scams helps us prepare for what’s coming. Here are the most concerning developments:

Multi-Stage Campaign Orchestration

Agentic AI can potentially orchestrate complex multi-stage social engineering attacks, leveraging data from one interaction to drive the next one. Instead of simple one-and-done phishing emails, expect sophisticated campaigns that unfold over weeks or months.

Automated Spear Phishing at Scale

Traditional spear phishing required manual research and customization for each target. In the new world order, malicious AI agents will autonomously harvest data from social media profiles, craft phishing messages, and tailor them to individual targets without human intervention. This means cybercriminals can now launch thousands of highly personalized attacks simultaneously, each one crafted specifically for its intended victim.

Real-Time Adaptive Attacks

When a target hesitates or questions an initial approach, agents adjust their tactics immediately based on the response. This continuous refinement makes each interaction more convincing than the last, wearing down even skeptical targets through persistence and learning. Traditional red flags like “This seems suspicious” or “Let me verify this” no longer end the attack, they just trigger the AI to try a different approach.

Cross-Platform Coordination

These autonomous systems now independently launch coordinated phishing campaigns across multiple channels simultaneously, operating with an efficiency human attackers cannot match. An agentic AI scammer might contact you via email, text message, phone call, and social media—all as part of a coordinated campaign designed to overwhelm your defenses.

How to Protect Yourself in the Age of Agentic AI Scams

The rise of agentic AI scams requires a fundamental shift in how we think about cybersecurity. Traditional advice like “watch for poor grammar” no longer applies. Here’s what you need to know to protect yourself:

• The Golden Rule: Never act on urgent requests without independent verification, no matter how convincing they seem.
• Use different communication channels: If someone emails you, call them back using a number you look up independently
• Verify through trusted contacts: When your “boss” asks for something unusual, confirm with colleagues or HR
• Check official websites: Go directly to company websites rather than clicking links in messages
• Trust your instincts: If something feels off, it probably is—even if you can’t identify exactly why

Understanding a New Era of Red Flags

Since agentic AI eliminates traditional warning signs, focus on these behavioral red flags:

High-Priority Warning Signs:

Emotional urgency: Messages designed to make you panic, feel guilty, or act without thinking

Requests for unusual actions: Being asked to do something outside normal procedures

Isolation tactics: Instructions not to tell anyone else or to handle something “confidentially”

Multiple contact attempts: Being contacted through several channels about the same issue

Perfect personalization: Messages that seem to know too much about your specific situation

How McAfee Fights AI with AI: Your Defense Against Agentic Threats

At McAfee, we understand that fighting AI-powered attacks requires AI-powered defenses. Our security solutions are designed to detect and stop sophisticated scams before they reach you. McAfee’s Scam Detector provides lightning-fast alerts, automatically spotting scams and blocking risky links even if you click them, with all-in-one protection that keeps you safer across text, email, and video. Our AI analyzes incoming messages using advanced pattern recognition that can identify AI-generated content, even when it’s grammatically perfect and highly personalized.

Scam Detector keeps you safer across text, email, and video, providing comprehensive coverage against multi-channel agentic AI campaigns. Beyond analyzing message content, our system evaluates sender behavior patterns, communication timing, and request characteristics that may indicate AI-generated scams. Just as agentic AI attacks learn and evolve, our detection systems continuously improve their ability to identify new threat patterns.

Protecting yourself from agentic AI scams requires combining smart technology with informed human judgment. Security experts believe it’s highly likely that bad actors have already begun weaponizing agentic AI, and the sooner organizations and individuals can build up defenses, train awareness, and invest in stronger security controls, the better they will be equipped to outpace AI-powered adversaries.

We’re entering an era of AI versus AI, where the speed and sophistication of both attacks and defenses will continue to escalate. According to IBM’s 2025 Threat Intelligence Index, threat actors are pursuing bigger, broader campaigns than in the past, partly due to adopting generative AI tools that help them carry out more attacks in less time.

Hope in Human + AI Collaboration

While the threat landscape is evolving rapidly, the combination of human intelligence and AI-powered security tools gives us powerful advantages. Humans excel at recognizing context, understanding emotional manipulation, and making nuanced judgments that AI still struggles with. When combined with AI’s ability to process vast amounts of data and detect subtle patterns, this creates a formidable defense.

Staying Human in an AI World

The rise of agentic AI represents both a significant threat and an opportunity. While cybercriminals will certainly exploit these technologies to create more sophisticated scams, we’re not defenseless. By understanding how these systems work, recognizing the new threat landscape, and combining human wisdom with AI-powered protection tools like McAfee‘s Scam Detector, we can stay ahead of the threats.

The key insight is that while AI can mimic human communication and behavior with unprecedented accuracy, it still relies on exploiting fundamental human psychology—our desire to help, our fear of consequences, and our tendency to trust. By developing better awareness of these psychological vulnerabilities and implementing verification protocols that don’t depend on technological red flags, we can maintain our security even as the threats become more sophisticated.

Remember: in the age of agentic AI, the most important security tool you have is still your human judgment. Trust your instincts, verify before you act, and never let urgency override prudence, no matter how convincing the request might seem.

The post How Agentic AI Will Be Weaponized for Social Engineering Attacks appeared first on McAfee Blog.

This week, it was an absolute privilege to be at Europol in The Hague, speaking about cyber offenders and at the InterCOP conference and spending time with some of the folks involved in the Operation Endgame actions. The latter in particular gave me a new sense of just how much coordination is involved in this sort of operation, all the way down to some of the messaging in the videos they've since released. I've seen some social commentary on these already, check them out and see what you think, especially as it relates to the psyops those videos play a role in.

References

1. Sponsored by: Malwarebytes Browser Guard blocks phishing, ads, scams, and trackers for safer, faster browsing
2. Operation Endgame saw a significant amount of criminal infrastructure taken down by Europol and friends (it's now the third "season" of Endgame that has ended up in HIBP)