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Anthropic could have scored an easy $4.6 million by using its Claude AI models to find and exploit vulnerabilities in blockchain smart contracts.…
China-based phishing groups blamed for non-stop scam SMS messages about a supposed wayward package or unpaid toll fee are promoting a new offering, just in time for the holiday shopping season: Phishing kits for mass-creating fake but convincing e-commerce websites that convert customer payment card data into mobile wallets from Apple and Google. Experts say these same phishing groups also are now using SMS lures that promise unclaimed tax refunds and mobile rewards points.
Over the past week, thousands of domain names were registered for scam websites that purport to offer T-Mobile customers the opportunity to claim a large number of rewards points. The phishing domains are being promoted by scam messages sent via Apple’s iMessage service or the functionally equivalent RCS messaging service built into Google phones.
An instant message spoofing T-Mobile says the recipient is eligible to claim thousands of rewards points.
The website scanning service urlscan.io shows thousands of these phishing domains have been deployed in just the past few days alone. The phishing websites will only load if the recipient visits with a mobile device, and they ask for the visitor’s name, address, phone number and payment card data to claim the points.
A phishing website registered this week that spoofs T-Mobile.
If card data is submitted, the site will then prompt the user to share a one-time code sent via SMS by their financial institution. In reality, the bank is sending the code because the fraudsters have just attempted to enroll the victim’s phished card details in a mobile wallet from Apple or Google. If the victim also provides that one-time code, the phishers can then link the victim’s card to a mobile device that they physically control.
Pivoting off these T-Mobile phishing domains in urlscan.io reveals a similar scam targeting AT&T customers:
An SMS phishing or “smishing” website targeting AT&T users.
Ford Merrill works in security research at SecAlliance, a CSIS Security Group company. Merrill said multiple China-based cybercriminal groups that sell phishing-as-a-service platforms have been using the mobile points lure for some time, but the scam has only recently been pointed at consumers in the United States.
“These points redemption schemes have not been very popular in the U.S., but have been in other geographies like EU and Asia for a while now,” Merrill said.
A review of other domains flagged by urlscan.io as tied to this Chinese SMS phishing syndicate shows they are also spoofing U.S. state tax authorities, telling recipients they have an unclaimed tax refund. Again, the goal is to phish the user’s payment card information and one-time code.
A text message that spoofs the District of Columbia’s Office of Tax and Revenue.
Many SMS phishing or “smishing” domains are quickly flagged by browser makers as malicious. But Merrill said one burgeoning area of growth for these phishing kits — fake e-commerce shops — can be far harder to spot because they do not call attention to themselves by spamming the entire world.
Merrill said the same Chinese phishing kits used to blast out package redelivery message scams are equipped with modules that make it simple to quickly deploy a fleet of fake but convincing e-commerce storefronts. Those phony stores are typically advertised on Google and Facebook, and consumers usually end up at them by searching online for deals on specific products.
A machine-translated screenshot of an ad from a China-based phishing group promoting their fake e-commerce shop templates.
With these fake e-commerce stores, the customer is supplying their payment card and personal information as part of the normal check-out process, which is then punctuated by a request for a one-time code sent by your financial institution. The fake shopping site claims the code is required by the user’s bank to verify the transaction, but it is sent to the user because the scammers immediately attempt to enroll the supplied card data in a mobile wallet.
According to Merrill, it is only during the check-out process that these fake shops will fetch the malicious code that gives them away as fraudulent, which tends to make it difficult to locate these stores simply by mass-scanning the web. Also, most customers who pay for products through these sites don’t realize they’ve been snookered until weeks later when the purchased item fails to arrive.
“The fake e-commerce sites are tough because a lot of them can fly under the radar,” Merrill said. “They can go months without being shut down, they’re hard to discover, and they generally don’t get flagged by safe browsing tools.”
Happily, reporting these SMS phishing lures and websites is one of the fastest ways to get them properly identified and shut down. Raymond Dijkxhoorn is the CEO and a founding member of SURBL, a widely-used blocklist that flags domains and IP addresses known to be used in unsolicited messages, phishing and malware distribution. SURBL has created a website called smishreport.com that asks users to forward a screenshot of any smishing message(s) received.
“If [a domain is] unlisted, we can find and add the new pattern and kill the rest” of the matching domains, Dijkxhoorn said. “Just make a screenshot and upload. The tool does the rest.”
The SMS phishing reporting site smishreport.com.
Merrill said the last few weeks of the calendar year typically see a big uptick in smishing — particularly package redelivery schemes that spoof the U.S. Postal Service or commercial shipping companies.
“Every holiday season there is an explosion in smishing activity,” he said. “Everyone is in a bigger hurry, frantically shopping online, paying less attention than they should, and they’re just in a better mindset to get phished.”
As we can see, adopting a shopping strategy of simply buying from the online merchant with the lowest advertised prices can be a bit like playing Russian Roulette with your wallet. Even people who shop mainly at big-name online stores can get scammed if they’re not wary of too-good-to-be-true offers (think third-party sellers on these platforms).
If you don’t know much about the online merchant that has the item you wish to buy, take a few minutes to investigate its reputation. If you’re buying from an online store that is brand new, the risk that you will get scammed increases significantly. How do you know the lifespan of a site selling that must-have gadget at the lowest price? One easy way to get a quick idea is to run a basic WHOIS search on the site’s domain name. The more recent the site’s “created” date, the more likely it is a phantom store.
If you receive a message warning about a problem with an order or shipment, visit the e-commerce or shipping site directly, and avoid clicking on links or attachments — particularly missives that warn of some dire consequences unless you act quickly. Phishers and malware purveyors typically seize upon some kind of emergency to create a false alarm that often causes recipients to temporarily let their guard down.
But it’s not just outright scammers who can trip up your holiday shopping: Often times, items that are advertised at steeper discounts than other online stores make up for it by charging way more than normal for shipping and handling.
So be careful what you agree to: Check to make sure you know how long the item will take to be shipped, and that you understand the store’s return policies. Also, keep an eye out for hidden surcharges, and be wary of blithely clicking “ok” during the checkout process.
Most importantly, keep a close eye on your monthly statements. If I were a fraudster, I’d most definitely wait until the holidays to cram through a bunch of unauthorized charges on stolen cards, so that the bogus purchases would get buried amid a flurry of other legitimate transactions. That’s why it’s key to closely review your credit card bill and to quickly dispute any charges you didn’t authorize.
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Unfortunately in today’s world, scammers are coming at us from all angles to trick us to get us to part with our hard-earned money. We all need to be vigilant in protecting ourselves online. If you aren’t paying attention, even if you know what to look for, they can get you. There are numerous ways to detect fake sites or emails, phishing, and other scams.
Before we delve into the signs of fake websites, we will first take a closer look at the common types of scam that use websites, what happens when you accidentally access a fake website, and what you can do in case you unknowingly purchased items from it.
Fake or scam websites are fraudulent sites that look legitimate while secretly attempting to steal your personal information, money, or account access.
These deceptive platforms masquerade as trustworthy businesses or organizations, sending urgent messages such as popular shopping websites offering fantastic limited-time deals, banking websites requesting immediate account verification, government portals claiming you owe taxes or are eligible for refunds, and shipping companies asking for delivery fees.
The urgency aims to trick you into logging in and sharing sensitive details—credit card numbers, Social Security information, login credentials, and personal data. Once you submit your data, the scammers will steal your identity, drain your accounts, or sell your details to other criminals on the dark web.
These scam websites have become increasingly prevalent because they’re relatively inexpensive to create and can reach millions of potential victims quickly through email and text campaigns, social media ads, and search engine manipulation.
Cybersecurity researchers and consumer protection agencies discover these fraudulent sites through various methods, including monitoring suspicious domain registrations, analyzing reported phishing attempts, and tracking unusual web traffic patterns. According to the FBI’s Internet Crime Complaint Center, losses from cyber-enabled fraud amounted to $13.7 billion, with fake websites representing a significant portion of these losses.
Visiting a fake website, accidentally or intentionally, can expose you to several serious security risks that can impact your digital life and financial well-being:
Scammers use different tricks to make fake websites look real, but most of them fall into familiar patterns. Knowing the main types of scam sites helps you recognize danger faster. This section lists the most common categories of scam websites, how they work, and the red flags that give them away before they can steal your information or money.
Understanding these common scam types helps you recognize fake sites before they can steal your information or money. When in doubt, verify legitimacy by visiting official websites directly through bookmarks or search engines rather than clicking suspicious links.
For the latest warnings and protection guidance, check resources from the Federal Trade Commission and the FBI’s Internet Crime Complaint Center.
You can protect yourself by learning to recognize the warning signs of fake sites. By understanding what these scams look like and how they operate, you’ll be better equipped to shop, bank, and browse online with confidence. Remember, legitimate companies will never pressure you to provide sensitive information through unsolicited emails or urgent pop-up messages.
Most scams usually start out from social engineering tactics such as phishing, smishing, and fake social media messages with suspicious links, before leading you to a fake website.
From these communications, the scammers impersonate legitimate organizations before finally executing their malevolent intentions. To avoid being tricked, it is essential to recognize the warning signs wherever you encounter them.
Fake emails are among the most common phishing attempts you’ll encounter. If you see any of these signs in an unsolicited email, it is best not to engage:
Smishing messages bear the same signs as phishing emails and have become increasingly sophisticated. These fake messages often appear to come from delivery services, banks, or government agencies. Common tactics include fake package delivery notifications, urgent banking alerts, or messages claiming you’ve won prizes or need to verify account information.
Legitimate organizations typically don’t include clickable links in unsolicited text messages, especially for account-related actions. When in doubt, don’t click the link—instead, open your banking app directly or visit the official website by typing the URL manually.
Social media platforms give scammers new opportunities to create convincing fake profiles and pages. They might impersonate customer service accounts, create fake giveaways, or send direct messages requesting personal information. These fake sites often use profile pictures and branding that closely resemble legitimate companies.
Unusual sender behavior is another indicator of a scam across all platforms. This includes messages from contacts you haven’t heard from in years, communications from brands you don’t typically interact with, or requests that seem out of character for the supposed sender.
Scammers have become increasingly cunning in creating fake websites that closely mimic legitimate businesses and services. Here are some real-life examples of how cybercriminals use fake websites to victimize consumers:
Scammers exploit your trust in the United States Postal Service (USPS), designing sophisticated fake websites to steal your personal information, payment details, or money. They know you’re expecting a package or need to resolve a delivery issue, making you more likely to enter sensitive information without carefully verifying the site’s authenticity.
USPS-themed smishing attacks arrive as text messages stating your package is delayed, undeliverable, or requires immediate action. Common phrases include “Pay $1.99 to reschedule delivery” or “Your package is held – click here to release.”
Scammers use various URL manipulation techniques to make their fake sites appear official. Watch for these red flags:
Always verify package information and delivery issues through official USPS channels before taking any action on suspicious websites or messages:
Reporting fake USPS websites helps protect others from falling victim to these scams and assists law enforcement in tracking down perpetrators.
Remember that legitimate USPS services are free for standard delivery confirmation and tracking. Any website demanding payment for basic package tracking or delivery should be treated as suspicious and verified through official USPS channels before providing any personal or financial information.
According to the Federal Trade Commission, tech support scams cost Americans nearly $1.5 billion in 2024. These types of social engineering attacks are increasingly becoming sophisticated, making it more important than ever to verify security alerts through official channels.
Sadly, many scammers are misusing the McAfee name to create fake tech support pop-up scams and trick you into believing your computer is infected or your protection has expired and hoping you’ll act without thinking.
These pop-ups typically appear while you’re browsing and claim your computer is severely infected with viruses, malware, or other threats. They use official-looking McAfee logos, colors, and messaging to appear legitimate to get you to call a fake support number, download malicious software, or pay for unnecessary services.
Learning to detect fake sites and pop-ups protects you from scam. Be on the lookout for these warning signs:
If you see a suspicious pop-up claiming to be from McAfee, here’s exactly what you should do:
To check if your McAfee protection is genuinely active and up-to-date:
Remember, legitimate McAfee software updates and notifications come through the installed program itself, not through random browser pop-ups. Your actual McAfee protection works quietly in the background without bombarding you with alarming messages.
Stay protected by trusting your installed McAfee software and always verifying security alerts through official McAfee channels such as your installed McAfee dashboard or the official website.
Be prepared and know how to respond quickly when something doesn’t feel right. If you suspect you’ve encountered a fake website, trust your instincts and take these protective steps immediately.
Recognizing fake sites and emails becomes easier with practice. The key is to trust your instincts—if something feels suspicious or too good to be true, take a moment to verify through official channels. With the simple verification techniques covered in this guide, you can confidently navigate the digital world and spot fake sites and emails before they cause harm.
Your best defense is to make these quick security checks a regular habit—verify URLs, look for secure connections, and trust your instincts when something feels off. Go directly to the source or bookmark your most-used services and always navigate to them. Enable two-factor authentication on important accounts, and remember that legitimate companies will never ask for sensitive information via email. Maintaining healthy skepticism about unsolicited communications will protect not only your personal information but also help create a safer online environment for everyone.
For the latest information on fake websites and scams and to report them, visit the Federal Trade Commission’s scam alerts or the FBI’s Internet Crime Complaint Center.
The post 7 Ways to Tell If It’s a Fake appeared first on McAfee Blog.
The internet has spent the past three months ducking for cover as the Aisuru botnet hurled record-shattering DDoS barrages from an army of up to 4 million infected machines.…
Rolling out a small research utility I have been building. It provides a simple way to look up proof-of-concept exploit links associated with a given CVE. It is not a vulnerability database. It is a discovery surface that points directly to the underlying code. Anyone can test it, inspect it, or fold it into their own workflow.
A small rate limit is in place to stop automated scraping. The limit is visible at:
https://labs.jamessawyer.co.uk/cves/api/whoami
An API layer sits behind it. A CVE query looks like:
curl -i "https://labs.jamessawyer.co.uk/cves/api/cves?q=CVE-2025-0282"
The Web Ui is
Systems Approach As we neared the finish line for our network security book, I received a piece of feedback from Brad Karp that my explanation of forward secrecy in the chapter on TLS (Transport Layer Security) was not quite right.…
Memory-safe Rust code can now be more broadly applied in devices that require electronic system safety, at least as measured by International Electrotechnical Commission (IEC) standards.…
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:
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:
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):
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:
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.
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.
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 😊
A maximum-severity flaw in the widely used JavaScript library React, and several React-based frameworks including Next.js allows unauthenticated, remote attackers to execute malicious code on vulnerable instances. The flaw is easy to abuse, and mass exploitation is "imminent," according to security researchers.…
Most open-source L7 DDoS mitigation and bot-protection approaches rely on challenges (e.g., CAPTCHA or JavaScript proof-of-work) or static rules based on the User-Agent, Referer, or client geolocation. These techniques are increasingly ineffective, as they are easily bypassed by modern open-source impersonation libraries and paid cloud proxy networks.
We explore a different approach: classifying HTTP client requests in near real time using ClickHouse as the primary analytics backend.
We collect access logs directly from Tempesta FW, a high-performance open-source hybrid of an HTTP reverse proxy and a firewall. Tempesta FW implements zero-copy per-CPU log shipping into ClickHouse, so the dataset growth rate is limited only by ClickHouse bulk ingestion performance - which is very high.
WebShield, a small open-source Python daemon:
periodically executes analytic queries to detect spikes in traffic (requests or bytes per second), response delays, surges in HTTP error codes, and other anomalies;
upon detecting a spike, classifies the clients and validates the current model;
if the model is validated, automatically blocks malicious clients by IP, TLS fingerprints, or HTTP fingerprints.
To simplify and accelerate classification — whether automatic or manual — we introduced a new TLS fingerprinting method.
WebShield is a small and simple daemon, yet it is effective against multi-thousand-IP botnets.
The full article with configuration examples, ClickHouse schemas, and queries.
FreshRSS 