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Chinese hackers turned AI tools into an automated attack machine

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Chinese hackers turned AI tools into an automated attack machine

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Cybersecurity has been reshaped by the rapid rise of advanced artificial intelligence tools, and recent incidents show just how quickly the threat landscape is shifting.

Over the past year, we’ve seen a surge in attacks powered by AI models that can write code, scan networks and automate complex tasks. This capability has helped defenders, but it has also enabled attackers to move faster than before.

The latest example is a major cyberespionage campaign conducted by a Chinese state-linked group that used Anthropic’s Claude to carry out large parts of an attack with very little human involvement.

HACKER EXPLOITS AI CHATBOT IN CYBERCRIME SPREE

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How Chinese hackers turned Claude into an automated attack machine

In mid-September 2025, Anthropic investigators spotted unusual behavior that eventually revealed a coordinated and well-resourced campaign. The threat actor, assessed with high confidence as a Chinese state-sponsored group, had used Claude Code to target roughly 30 organizations worldwide. The list included major tech firms, financial institutions, chemical manufacturers and government bodies. A small number of those attempts resulted in successful breaches.

Claude handled most of the operation autonomously, triggering thousands of requests and generating detailed documentation of the attack for future use. (Kurt “CyberGuy” Knutsson)

How the attackers bypassed Claude’s safeguards

This was not a typical intrusion. The attackers built a framework that let Claude act as an autonomous operator. Instead of asking the model to help, they tasked it with executing most of the attack. Claude inspected systems, mapped out internal infrastructure and flagged databases worth targeting. The speed was unlike anything a human team could replicate.

To get around Claude’s safety rules, the attackers broke their plan into tiny, innocent-looking steps. They also told the model it was part of a legitimate cybersecurity team performing defensive testing. Anthropic later noted that the attackers didn’t simply hand tasks to Claude; they engineered the operation to make the model believe it was performing authorized pentesting work, splitting the attack into harmless-looking pieces and using multiple jailbreak techniques to push past its safeguards. Once inside, Claude researched vulnerabilities, wrote custom exploits, harvested credentials and expanded access. It worked through these steps with little supervision and reported back only when it needed human approval for major decisions.

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The model also handled the data extraction. It collected sensitive information, sorted it by value and identified high-privilege accounts. It even created backdoors for future use. In the final stage, Claude generated detailed documentation of what it had done. This included stolen credentials, systems analyzed and notes that could guide future operations.

Across the entire campaign, investigators estimate that Claude performed around 80-90% of the work. Human operators stepped in only a handful of times. At its peak, the AI triggered thousands of requests, often multiple per second, a pace still far beyond what any human team could achieve. Although it occasionally hallucinated credentials or misread public data as secret, those errors underscored that fully autonomous cyberattacks still face limitations, even when an AI model handles the majority of the work.

Why this AI-powered Claude attack is a turning point for cybersecurity

This campaign shows how much the barrier to high-end cyberattacks has dropped. A group with far fewer resources could now attempt something similar by leaning on an autonomous AI agent to do the heavy lifting. Tasks that once required years of expertise can now be automated by a model that understands context, writes code and uses external tools without direct oversight.

Earlier incidents documented AI misuse, but humans were still steering every step. This case is different. The attackers needed very little involvement once the system was in motion. And while the investigation focused on usage within Claude, researchers believe similar activity is happening across other advanced models, which might include Google Gemini, OpenAI’s ChatGPT or Musk’s Grok.

This raises a difficult question. If these systems can be misused so easily, why continue building them? According to researchers, the same capabilities that make AI dangerous are also what make it essential for defense. During this incident, Anthropic’s own team used Claude to analyze the flood of logs, signals and data its investigation uncovered. That level of support will matter even more as threats grow.

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We reached out to Anthropic for comment but did not hear back before our deadline.

Hackers used Claude to map networks, scan systems and identify high-value databases in a fraction of the time human attackers would need. (Kurt “CyberGuy” Knutsson)

FORMER GOOGLE CEO WARNS AI SYSTEMS CAN BE HACKED TO BECOME EXTREMELY DANGEROUS WEAPONS

You may not be the direct target of a state-sponsored campaign, but many of the same techniques trickle down to everyday scams, credential theft and account takeovers. Here are seven detailed steps you can take to stay safer.

1) Use strong antivirus software and keep it updated

Strong antivirus software does more than scan for known malware. It looks for suspicious patterns, blocked connections and abnormal system behavior. This is important because AI-driven attacks can generate new code quickly, which means traditional signature-based detection is no longer enough.

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The best way to safeguard yourself from malicious links that install malware, potentially accessing your private information, is to have strong antivirus software installed on all your devices. This protection can also alert you to phishing emails and ransomware scams, keeping your personal information and digital assets safe.

Get my picks for the best 2025 antivirus protection winners for your Windows, Mac, Android and iOS devices at Cyberguy.com

2) Rely on a password manager

A good password manager helps you create long, random passwords for every service you use. This matters because AI can generate and test password variations at high speed. Using the same password across accounts can turn a single leak into a full compromise.

Next, see if your email has been exposed in past breaches. Our No. 1 password manager (see Cyberguy.com) pick includes a built-in breach scanner that checks whether your email address or passwords have appeared in known leaks. If you discover a match, immediately change any reused passwords and secure those accounts with new, unique credentials. 

Check out the best expert-reviewed password managers of 2025 at Cyberguy.com

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3) Consider using a personal data removal service

A large part of modern cyberattacks begins with publicly available information. Attackers often gather email addresses, phone numbers, old passwords and personal details from data broker sites. AI tools make this even easier, since they can scrape and analyze huge datasets in seconds. A personal data removal service helps clear your information from these broker sites so you are harder to profile or target.

FAKE CHATGPT APPS ARE HIJACKING YOUR PHONE WITHOUT YOU KNOWING

While no service can guarantee the complete removal of your data from the internet, a data removal service is really a smart choice. They aren’t cheap, and neither is your privacy. These services do all the work for you by actively monitoring and systematically erasing your personal information from hundreds of websites. It’s what gives me peace of mind and has proven to be the most effective way to erase your personal data from the internet. By limiting the information available, you reduce the risk of scammers cross-referencing data from breaches with information they might find on the dark web, making it harder for them to target you.

Check out my top picks for data removal services and get a free scan to find out if your personal information is already out on the web by visiting Cyberguy.com

Get a free scan to find out if your personal information is already out on the web: Cyberguy.com

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4) Turn on two-factor authentication wherever possible

Strong passwords alone are not enough when attackers can steal credentials through malware, phishing pages or automated scripts. Two-factor authentication adds a serious roadblock. Use app-based codes or hardware keys instead of SMS. While no method is perfect, this extra layer often stops unauthorized logins even when attackers have your password.

5) Keep your devices and apps fully updated

Attackers rely heavily on known vulnerabilities that people forget or ignore. System updates patch these flaws and close off entry points that attackers use to break in. Enable automatic updates on your phone, laptop, router and the apps you use most. If an update looks optional, treat it as important anyway, because many companies downplay security fixes in their release notes.

6) Install apps only from trusted sources

Malicious apps are one of the easiest ways attackers get inside your device. Stick to official app stores and avoid APK sites, shady download portals and random links shared on messaging apps. Even on official stores, check reviews, download counts and the developer name before installing anything. Grant the minimum permissions required and avoid apps that ask for full access for no clear reason.

7) Ignore suspicious texts, emails and pop-ups

AI tools have made phishing more convincing. Attackers can generate clean messages, imitate writing styles and craft perfect fake websites that match the real ones. Slow down when a message feels urgent or unexpected. Never click links from unknown senders, and verify requests from known contacts through a separate channel. If a pop-up claims your device is infected or your bank account is locked, close it and check directly through the official website.

By breaking tasks into small, harmless-looking steps, the threat actors tricked Claude into writing exploits, harvesting credentials and expanding access.  (Kurt “CyberGuy” Knutsson)

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Kurt’s key takeaway

The attack carried out through Claude signals a major shift in how cyber threats will evolve. Autonomous AI agents can already perform complex tasks at speeds no human team can match, and this gap will only widen as models improve. Security teams now need to treat AI as a core part of their defensive toolkit, not a future add-on. Better threat detection, stronger safeguards and more sharing across the industry are going to be crucial. Because if attackers are already using AI at this scale, the window to prepare is shrinking fast.

Should governments push for stricter regulations on advanced AI tools? Let us know by writing to us at Cyberguy.com.

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Copyright 2025 CyberGuy.com.  All rights reserved.

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Polymarket defends its decision to allow betting on war as ‘invaluable’

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Polymarket defends its decision to allow betting on war as ‘invaluable’
It might be World War III, but at least I won $20. | Image: Polymarket / The Verge

Polymarket has been allowing people to bet on when the US would strike Iran next. Obviously, now that it’s actually happened and people have died, the prediction betting market is feeling some pressure. The site has been at the center of controversy before, including suspicions of insider trading on the Super Bowl halftime show and the capture of Venezuelan President Nicolás Maduro.

In a statement posted on its site, Polymarket defended its decision to allow betting on the potential start of a war, saying that it was an “invaluable” source of news and answers, before taking shots at traditional media and Elon Musk’s X. The statement reads:

Read the full story at The Verge.

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Google dropped dark web monitoring: Should you care?

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Google dropped dark web monitoring: Should you care?

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Google has officially discontinued its Dark Web Report feature, a free tool that once scanned known dark web breach dumps for personal information tied to a user’s Google account. The service delivered notifications when email addresses and other identifiers appeared in leaked datasets.

According to Google’s support page, the system ceased scanning for new dark web data Jan. 15, 2026, and the reporting function was removed entirely on Feb. 16, 2026, meaning users can no longer access the feature.

The company said the decision reflects a shift toward security tools it believes provide clearer guidance after exposure, rather than standalone scan alerts.

If you previously relied on the free dark web scan as an early warning signal for leaked data, this change removes one of your sources.

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Google officially ended its Dark Web Report tool, removing free breach alerts tied to user accounts. (Kurt “CyberGuy” Knutsson)

So what did users really lose?

Google’s Dark Web Report acted as a basic exposure scanner. It checked whether personal information linked to a Google account had surfaced in known breach collections circulating on the dark web.

When a match is found, users receive a notification identifying which type of data appeared in a leak. Depending on the data breach, that could include an email address, phone number, date of birth or other identifying details commonly harvested during large-scale hacks.

The report did not display stolen credentials or provide access to the leaked database itself. It also did not trace the origin of the compromise beyond referencing the breached service when available.

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After an alert was issued, the next steps were left to the user. Google recommended actions such as changing passwords, enabling stronger authentication methods and reviewing account security settings. With the tool now removed, that automated breach check tied directly to a Google account is no longer available.

What you still have access to

Google directs users to its Security Checkup, a dashboard that scans your account for weak settings and unusual sign-in activity.

Its built-in Password Manager includes Password Checkup, which scans saved credentials against known breach databases and prompts you to change exposed passwords. Google also supports passkeys and two-factor verification to lock down account access.

The Results About You tool lets users search for personal information in Google Search and submit removal requests for certain publicly indexed details.

149 MILLION PASSWORDS EXPOSED IN MASSIVE CREDENTIAL LEAK

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Without the automatic scan, users must now check for leaked data using other security tools. (iStock)

Alerts don’t always mean protection

Once personal information is compromised, it often ends up far beyond the breach itself. Stolen credentials and identity data are regularly trafficked on underground platforms where buyers can search for information tied to real people.

The BidenCash dark web marketplace was taken down by U.S. authorities in June 2025, and the Justice Department confirmed that the platform peddled stolen personal information and credit card data.

These illicit markets operate with a level of organization not unlike legitimate online stores. Search tools and bulk data sets are up for grabs and can be used to target any online account. This makes credential stuffing easier, where attackers test leaked passwords across multiple services in hopes of barreling into your account.

A breach alert tied to a dark web scan points to a leak at one moment in time; it does not follow whether that information has been sold to third parties or used in subsequent fraud attempts. For everyday users, this means that just knowing your data appeared in a leak doesn’t help much.

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THINK YOUR NEW YEAR’S PRIVACY RESET WORKED? THINK AGAIN

Stolen personal information can circulate for years, making ongoing monitoring more important than a one-time alert.  (Kurt “CyberGuy” Knutsson)

Identity monitoring may be a better option

With Google’s scan gone, some people may consider dedicated identity protection services instead. Many of these services offer continuous monitoring of your personally identifiable information and send alerts about changes to your credit reports from all three major U.S. credit bureaus. That can include notifications about new inquiries, newly opened accounts and monthly credit score updates. Some plans also monitor a broader range of personal identifiers, such as driver’s license numbers, passport numbers and email addresses.

Beyond credit monitoring, certain services track linked bank, credit card and investment accounts for unusual activity. They may also monitor public records for changes to addresses or property titles and alert you if your information appears in those filings.

Many providers include identity theft insurance to help cover eligible out-of-pocket recovery costs. Coverage limits vary by plan and provider. Additional features often include spam call and message protection, a password manager, a virtual private network (VPN) and antivirus software.

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No service can prevent every form of identity theft. However, ongoing monitoring and recovery support can make it easier to respond quickly if your information is misused.

See my tips and best picks on Best Identity Theft Protection at Cyberguy.com.

Kurt’s key takeaways

Google’s decision to drop its Dark Web Report may seem small. But it removes a tool many users relied on. For some, those alerts were the first warning that their data appeared in a breach. That automatic scan is now gone. Google still offers Security Checkup, Password Checkup, passkeys and two-step verification. However, none of them actively scan dark web breach dumps for you. Stolen data does not disappear. Criminals copy, sell and reuse it. One alert shows a single moment. Ongoing identity theft monitoring helps you stay aware over time.

Now that Google has dropped its dark web monitoring feature, will you actively check your data exposure or assume someone else is watching it for you? Let us know your thoughts by writing to us at Cyberguy.com

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Copyright 2026 CyberGuy.com. All rights reserved.

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Xiaomi 17 is a small(ish) phone with a big(ish) battery

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Xiaomi 17 is a small(ish) phone with a big(ish) battery

Xiaomi has just given a global launch to two of its latest flagship phones, the Xiaomi 17 and 17 Ultra, along with a Leica-branded Leitzphone edition of the Ultra. There’s no sign, however, of the 17 Pro, which launched in China with an additional display mounted next to the rear cameras.

The 17 and 17 Ultra will apparently be available soon in the UK, Europe, and select other markets. The 17 — pitched as a rival to the likes of the iPhone 17 and Samsung Galaxy S26 — will cost £899 / €999 (about $1,200), while the larger and more capable Ultra starts from £1,299 / €1,499 ($1,750). The limited-edition Leitzphone will be substantially more expensive at £1,699 / €1,999 ($2,300), though it includes 16GB of RAM and 1TB of storage, along with a few extra accessories.

I like the simple, sleek aesthetic of the phone.
Photo of Xiaomi 17 homescreen on a wooden table outdoors

The 6.3-inch display isn’t tiny, but it does make the phone small by modern standards.
Closeup on Xiaomi 17 rear camera

All three of the phone’s rear cameras are 50-megapixel.

The 17 is an extremely capable small-ish flagship, with a 6.3-inch OLED display, Qualcomm Snapdragon 8 Elite Gen 5, and large 6,330mAh silicon-carbon battery (though sadly smaller than the 7,000mAh version launched in China). I won’t be writing a full review of the 17, but did spend a week using it as my main phone, and found that the battery cruised past the full-day mark, though wasn’t quite enough for two full days of my typical usage. That’s far better battery life than you’d find in similarly sized phones from Apple, Samsung, or Google.

The cameras impress too, with 50-megapixel sensors behind each of the four lenses, selfie included. Pound for pound, you won’t find many better camera systems in any phone this size.

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1/10

I’ve been largely impressed by the Xiaomi 17’s cameras.

The Ultra, unsurprisingly, takes things to another level. It’s much larger, with a 6.9-inch display, and weighs a hefty 218g. Despite that, the 6,000mAh is actually smaller, though I found it delivered pretty similar longevity.

Photo of Xiaomi 17 and 17 Ultra on a table, closeup on the cameras

The 17 Ultra is larger in just about every respect, but strangely has a smaller battery.

The enormous camera is, as ever for Xiaomi’s Ultra phones, the highlight. There are 50-megapixel sensors for each of the main, ultrawide, and selfie cameras, with a large 1-inch-type sensor behind the primary lens. The periscope telephoto is even more impressive: 200-megapixel resolution, a large 1/1.4-inch sensor, and continuous optical zoom from 3.2x to 4.3x, the equivalent of 75-100mm. Xiaomi isn’t the first to pull off a true zoom phone — Sony’s Xperia 1 IV got there first in 2022 — but the telephoto camera here is far more capable than that phone’s, with natural bokeh and impressive performance even in low light.

Photo of Xiaomi 17 Ultra Leitzphone outdoors

This is the Leica-branded Leitzphone version of the 17 Ultra.

The camera capabilities are supported by Xiaomi’s ongoing photography partner Leica, but it’s the pair’s Leitzphone that really emphasizes that. Slightly redesigned from the 17 Ultra Leica Edition that was released in China last December, this includes Leica branding across the hardware and software, a range of Leica filters and shooting styles, and a rotatable rear camera ring that can be used to control the zoom. It’s the first Leica Leitzphone produced by Xiaomi — after a trio of Japan-only Sharp models — and comes with additional branded accessories, including a case with a lens cap and a microfiber cleaning cloth.

Xiaomi has plenty of other announcements alongside the 17 series phones at MWC this year, including a super-slim magnetic power bank, the Pad 8 and Pad 8 Pro tablets, and a smart tag that supports both Google and Apple’s tech-tracking networks.

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Photography by Dominic Preston / The Verge

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