Apple has released software updates to address several security flaws across its portfolio, including a zero-day vulnerability that it said has been exploited in the wild.
The vulnerability, tracked as CVE-2025-24085, has been described as a use-after-free bug in the Core Media component that could permit a malicious application already installed on a device to elevate privileges.
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Apple Patches Actively Exploited Zero-Day Affecting iPhones, Macs, and More

The Apple iOS 18.3 update fixes 28 other vulnerabilities identified by the tech company, though there is little information on them.

Source: Shahid Jamil via Alamy Stock Photo

NEWS BRIEF

In its latest security update for users, Apple has released a patch for a zero-day vulnerability tracked as CVE-2025-24085 (no CVSS score assigned yet).

The vulnerability, not yet added to the National Vulnerability Database (NVD), can be found in iOS, iPadOS, macOS, tvOS, watchOS, and visionOS. As a privileged escalation security flaw, it is located in Apple's Core Media framework. The bug is being actively exploited in the wild.

The Core Media framework, according to Apple, is "the media pipeline used by AVFoundation and other high-level media frameworks found on Apple platforms." It allows users to process media samples as well as manage queues of media data.

This patch comes in the form of iOS 18.3, which fixes 28 other vulnerabilities as well. Apple has yet to divulge many details about any of the issues that have been patched by this update, likely to prevent attackers from exploiting them before users can apply the necessary fix.

Impacted devices from this bug include:

*   Apple Watch Series 6 and later
    

*   Apple TV HD and Apple TV 4K (all models)
    
*   iPad Pro 13-inch, iPad Pro 12.9-inch 3rd generation and later, iPad Pro 11-inch 1st generation and later, iPad Air 3rd generation and later, iPad 7th generation and later, and iPad mini 5th generation and later
    

Though the tech giant has disclosed that "Apple is aware of a report that this issue may have been actively exploited against versions of iOS before iOS 17.2," it has not published any details of the attacks nor attributed its discovery to a researcher.

**About the Author**

Skilled writer and editor covering cybersecurity for Dark Reading.

Apple Patches Actively Exploited Zero-Day Vulnerability

One of the largest data breaches in history was apparently twice as impactful as previously thought, with PII belonging to hundreds of millions of people sitting in the hands of cybercriminals.

Source: Pavel Kapish via Alamy Stock Photo

New evidence suggests that more than half of the US population was touched by the ransomware attack(s) against UnitedHealth subsidiary Change Healthcare.

One of the largest data breaches ever recorded struck Change Healthcare last year. Change's technology services reach hundreds of vendors and laboratories, thousands of hospitals, tens of thousands of pharmacies, and hundreds of thousands of physicians and dentists, including "nearly all government and commercial payers," according to company documentation. These services necessarily sweep up loads of patients' personally identifying information (PII), which ended up in the hands of multiple ransomware actors.

Later last year, it was reported that the incident affected around 100 million Americans. Now, UnitedHealth has updated that number to approximately 190 million. A company spokesperson confirmed this in an emailed statement to Dark Reading, adding, "the vast majority of those people have already been provided individual or substitute notice."

**Change's Changing Cyberattack Story**

Last February, in concert, pharmacies around the US experienced significant delays to prescription orders. Behind it all was Change Healthcare, which processes billions of transactions every year, representing trillions of dollars worth of medical claims.

Related:Actively Exploited Fortinet Zero-Day Gives Attackers Super-Admin Privileges

The company first stated that it had suffered a nation-state cyber intrusion. In fact, it was a regular old ransomware attack (for which it would later pay a whopping $22 million ransom). And this wasn't the only crucial detail it got wrong.

In June, Change Healthcare finally sent out notices of data compromise, revealing that affected customers totaled around 100 million. On Friday, however, UnitedHealth Group publicly adjusted that figure to include 90 million more.

In its updated online notice of data breach, the company admitted that hackers may have obtained a variety of personally identifying information (PII) about patients and guarantors, including their first and last names, dates of birth, phone numbers, home addresses, and email addresses. Social security numbers, it noted, were only lost in "rare instances," and in an email to Dark Reading, a spokesperson claimed that Change Healthcare "has not seen electronic medical record databases appear in the data during the analysis."

The spokesperson also emphasized that "Change Healthcare is not aware of any misuse of individuals' information as a result of this incident."

However, Paul Bischoff, consumer privacy advocate at Comparitech, warns that "every press release I ever see about a data release says 'there's no evidence that your information has been abused or misused in any way.' But, obviously, they're not really looking for that for those instances of abuse, and they would never know if it actually happened. And the people that it happens to can't attribute the identity theft that they're suffering back to the data breach that caused it."

Related:For $50, Cyberattackers Can Use GhostGPT to Write Malicious Code

**When Data Breach Disclosures Go Wrong**

The Securities and Exchange Commission (SEC) data breach disclosure rules require that publicly traded companies disclose "material" cybersecurity incidents within four days of becoming alerted to them. The same rule applies to material updates to breach disclosures, such as when an attack is found to have affected nearly twice as many victims as once thought.

Despite these rules, companies have managed to take extensive time in investigating and addressing critical aspects of their breaches. For instance, it took Change Healthcare four months to notify customers of its incident, nine months to admit that 100 million people were affected, and nearly a year to update that figure to 190 million.

Bischoff hesitates, though, before suggesting that what's needed is even stricter regulation. "It's a complicated subject, because it gets to a point where you put such a burden on companies. Companies are also victims in these situations, so I don't want to penalize them for reporting things incorrectly," he says.

Related:The Case for Proactive, Scalable Data Protection

At the same time, he adds, "What we see a lot is that these companies take way too long to finish their investigations and notify victims. Sometimes it's up to a year or more before we're notified that people's data is out there on the Dark Web, being used for who knows what. And that's after they're most likely to get hit with identity fraud, and other sorts of fraud, because cybercriminals want that information when it's as fresh as possible. That's when it's most valuable. So I think we do need more strict standards about the timeliness of these notifications."

**About the Author**

Nate Nelson is a writer based in New York City. He formerly worked as a reporter at Threatpost, and wrote "Malicious Life," an award-winning Top 20 tech podcast on Apple and Spotify. Outside of Dark Reading, he also co-hosts "The Industrial Security Podcast."

Change Healthcare Breach Impact Doubles to 190M People

Amid ongoing fears over TikTok, Chinese generative AI platform DeepSeek says it’s sending heaps of US user data straight to its home country, potentially setting the stage for greater scrutiny.

The United States’ recent regulatory action against the Chinese-owned social video platform TikTok prompted mass migration to another Chinese app, the social platform “Rednote.” Now, a generative artificial intelligence platform from the Chinese developer DeepSeek is exploding in popularity, posing a potential threat to US AI dominance and offering the latest evidence that moratoriums like the TikTok ban will not stop Americans from using Chinese-owned digital services.

DeepSeek, an AI research lab created by a prominent Chinese hedge fund, recently gained popularity after releasing its latest open source generative AI model that easily competes with top US platforms like those developed by OpenAI. However, to help avoid US sanctions on hardware and software, DeepSeek created some clever workarounds when building its models. On Monday, DeepSeek’s creators limited new sign-ups after claiming the app had been overrun with a “large-scale malicious attack.”

While DeepSeek has several AI models, some of which can be downloaded and run locally on your laptop, the majority of people will likely access the service through its iOS or Android apps or its web chat interface. Like with other generative AI models, you can ask it questions and get answers; it can search the web; or it can alternatively use a reasoning model to elaborate on answers.

DeepSeek, which does not appear to have established a communications department or press contact yet, did not return a request for comment from WIRED about its user data protections and the extent to which it prioritizes data privacy initiatives.

As people clamor to test out the AI platform, though, the demand brings into focus how the Chinese startup collects user data and sends it home. Users have already reported several examples of DeepSeek censoring content that is critical of China or its policies. The AI setup appears to collect a lot of information—including all your chat messages—and send it back to China. In many ways, it’s likely sending more data back to China than TikTok has in recent years, since the social media company moved to US cloud hosting to try to deflect US security concerns

“It shouldn’t take a panic over Chinese AI to remind people that most companies in the business set the terms for how they use your private data” says John Scott-Railton, a senior researcher at the University of Toronto’s Citizen Lab. “And that when you use their services, you’re doing work for them, not the other way around.”

**What DeepSeek Collects About You**

To be clear, DeepSeek is sending your data to China. The English-language DeepSeek privacy policy, which lays out how the company handles user data, is unequivocal: “We store the information we collect in secure servers located in the People's Republic of China.”

In other words, all the conversations and questions you send to DeepSeek, along with the answers that it generates, are being sent to China or can be. DeepSeek’s privacy policies also outline the information it collects about you, which falls into three sweeping categories: information that you share with DeepSeek, information that it automatically collects, and information that it can get from other sources.

The first of these areas includes “user input,” a broad category likely to cover your chats with DeepSeek via its app or website. “We may collect your text or audio input, prompt, uploaded files, feedback, chat history, or other content that you provide to our model and Services,” the privacy policy states. Within DeepSeek’s settings, it is possible to delete your chat history. On mobile, go to the left-hand navigation bar, tap your account name at the bottom of the menu to open settings, and then click “Delete all chats.”

This collection is similar to that of other generative AI platforms that take in user prompts to answer questions. OpenAI’s ChatGPT, for example, has been criticized for its data collection although the company has increased the ways data can be deleted over time. Regardless of these types of protections, privacy advocates emphasize that you should not disclose any sensitive or personal information to AI chat bots.

“I would not input personal or private data in any such an AI assistant,” says Lukasz Olejnik, independent researcher and consultant, affiliated with King's College London Institute for AI. Olejnik notes, though, that if you install models like DeepSeek’s locally and run them on your computer, you can interact with them privately without your data going to the company that made them. Additionally, AI search company Perplexity says it has added DeepSeek to its platforms but claims it is hosting the model in US and EU data centers.

Other personal information that goes to DeepSeek includes data that you use to set up your account, including your email address, phone number, date of birth, username, and more. Likewise, if you get in touch with the company, you’ll be sharing information with it.

Bart Willemsen, a VP analyst focusing on international privacy at Gartner, says that, generally, the construction and operations of generative AI models is not transparent to consumers and other groups. People don’t know exactly how they work or the exact data they have been built upon. For individuals, DeepSeek is largely free, although it has costs for developers using its APIs. “So what do we pay with? What do we usually pay with: data, knowledge, content, information,” Willemsen says.

As with all digital platforms—from websites to apps—there can also be a large amount of data that is collected automatically and silently when you use the services. DeepSeek says it will collect information about what device you are using, your operating system, IP address, and information such as crash reports. It can also record your “keystroke patterns or rhythms,” a type of data more widely collected in software built for character-based languages. Additionally, if you purchase DeepSeek’s premium services, the platform will collect that information. It also uses cookies and other tracking technology to “measure and analyze how you use our services.”

A WIRED review of the DeepSeek website's underlying activity shows the company also appears to send data to Baidu Tongji, Chinese tech giant Baidu's popular web analytics tool, as well as Volces, a Chinese cloud infrastructure firm. In a social media post, Sean O'Brien, founder of Yale Law School's Privacy Lab, said that DeepSeek is also sending “basic” network data and “device profile” to TikTok owner ByteDance “and its intermediaries.

The final category of information DeepSeek reserves the right to collect is data from other sources. If you create a DeepSeek account using Google or Apple sign-on, for instance, it will receive some information from those companies. Advertisers also share information with DeepSeek, its policies say, and this can include “mobile identifiers for advertising, hashed email addresses and phone numbers, and cookie identifiers, which we use to help match you and your actions outside of the service.”

**How DeepSeek Uses Information**

Huge volumes of data may flow to China from DeepSeek’s international user base, but the company still has power over how it uses the information. DeepSeek’s privacy policy says the company will use data in many typical ways, including keeping its service running, enforcing its terms and conditions, and making improvements.

Crucially, though, the company’s privacy policy suggests that it may harness user prompts in developing new models. The company will “review, improve, and develop the service, including by monitoring interactions and usage across your devices, analyzing how people are using it, and by training and improving our technology,” its policies say.

DeepSeek’s privacy policy also says the company will also use information to “comply with \[its\] legal obligations”—a blanket clause many companies include in their policies. DeepSeek’s privacy policy says data can be accessed by its “corporate group,” and it will share information with law enforcement agencies, public authorities, and more when it is required to do so.

While all companies have legal obligations, those based in China do have notable responsibilities. Over the past decade, Chinese officials have passed a series of cybersecurity and privacy laws meant to allow state officials to demand data from tech companies. One 2017 law, for instance, says that organizations and citizens should “cooperate with national intelligence efforts.”

These laws, alongside growing trade tensions between the US and China and other geopolitical factors, fueled security fears about TikTok. The app could harvest huge amounts of data and send it back to China, those in favor of the TikTok ban argued, and the app could also be used to push Chinese propaganda. (TikTok has denied sending US user data to China’s government.) Meanwhile, several DeepSeek users have already pointed out that the platform does not provide answers for questions about the 1989 Tiananmen Square massacre, and it answers some questions in ways that sound like propaganda.

Willemsen says that, compared to users on a social media platform like TikTok, people messaging with a generative AI system are more actively engaged and the content can feel more personal. In short, any influence could be larger. “Risks of subliminal content alteration, conversation direction steering, in active engagement ought by that logic to lead to more concern, not less,” he says, “especially given how the inner workings of the model are widely unknown, its thresholds, borders, controls, censorship rules, and intent/personae largely left unscrutinized, and it being already so popular in its infancy stage.”

Olejnik, of King's College London, says that while the TikTok ban was a specific situation, US law makers or those in other countries could act again on a similar premise. “We can’t rule out that 2025 will bring an expansion: direct action against AI firms,” Olejnik says. “Of course, data collection may again be named as the reason.”

_Updated 5:27 pm EST, January 27, 2025: Added additional details about the DeepSeek website's activity._

_Updated 10:05 am EST, January 29, 2025: Added additional details about DeepSeek's network activity._

DeepSeek’s Popular AI App Is Explicitly Sending US Data to China

DeepSeek, a new China-backed AI platform, faces a cyberattack disrupting new user registrations. Learn about its rapid growth,…

DeepSeek, a new China-backed AI platform, faces a cyberattack disrupting new user registrations. Learn about its rapid growth, challenges, and the importance of cybersecurity.

DeepSeek, a rising star in the world of artificial intelligence, has confirmed it is facing a large-scale cyberattack that has disrupted its services. The company released a statement on its website, informing users:

_“_Due to large-scale malicious attacks on DeepSeek’s services, registration may be busy. Please wait and try again. Registered users can log in normally. Thank you for your understanding and support._“_

Screenshot: Hackread.com

**What is DeepSeek?**

DeepSeek, a Chinese AI startup, has quickly gained prominence as an AI assistant designed to rival established names like **OpenAI’s ChatGPT**. The platform has been lauded for its intuitive features and user-friendly design, which have captured the attention of millions worldwide.

In just days, it climbed to the top spot in the free application section of Apple’s App Store in the United States, overtaking ChatGPT. This rapid surge in popularity has placed DeepSeek squarely in the spotlight, making it a tempting target for cybercriminals.

**The Attack and Its Impact**

The large-scale attack has primarily impacted new user registrations, leaving prospective users unable to join the platform. Current users, however, can still log in and use the service without interruption. Despite the disruption, DeepSeek remains optimistic, thanking users for their patience and support as they work to resolve the situation.

**Cybersecurity Expert’s Perspective**

Commenting on the incident, Jake Moore, Global Cyber Security Advisor at ESET, highlighted the risks associated with DeepSeek’s rapid rise: _“_DeepSeek has certainly been in the limelight in recent days, which can act as a huge honeypot for cybercriminals. This is typical for any new platform which contentiously dominates the media for multiple reasons and can attract multiple groups of threat actors looking for any potential vulnerability to exploit._“_

_“_Irrespective of who is behind DeepSeek and its values, such attacks act as a reminder to bolster existing defences and to expect the unexpected; especially when attention grows quickly,” Jake told Hackread.com.

**Growing Pains of Rapid Success**

The cyberattack shows the challenges faced by platforms experiencing rapid growth. As new platforms gain popularity, they often become targets for threat actors seeking to exploit vulnerabilities. This incident is a wake-up call for DeepSeek, highlighting the importance of strong cybersecurity measures, especially as its user base grows so rapidly.

This story is developing. Stay Tuned!

1.  **Sora and ChatGPT Currently Down Worldwide**
2.  **GhostGPT: Malicious AI Chatbot Fueling Cybercrime**
3.  **Cyberattack on American Water Shuts Down Customer Portal**

DeepSeek Faces Large-scale Cyberattack, Halts New User Registrations

Plus: A hacker finds an issue with Cloudflare’s systems that could reveal app users’ rough locations, and the Trump administration puts a wrench in a key cybersecurity investigation.

This week started off with a bang and just kept going. In the wee hours of Saturday night, TikTok cut off access to users in the United States ahead of Sunday’s deadline that forced Apple and Google to remove the video-sharing app from their app stores. While TikTok was dark, US users raced to get around the TikTok ban while several other unexpected apps saw their access to Americans severed as well. By midday on Sunday, however, TikTok access was already coming back in the US. By Monday night, newly inaugurated US president Donald Trump had signed an executive order delaying the TikTok ban by 75 days.

On Tuesday, Trump made good on his promise to free Ross Ulbricht, the imprisoned creator of the Silk Road dark-web market, where users sold drugs, guns, and worse. Ulbricht had spent more than 11 years behind bars after he was arrested by the FBI in 2013 and later sentenced to life in prison. Trump’s decision to pardon Ulbricht is largely seen as linked to the support he’s received from the libertarian cryptocurrency community, which has long considered the Silk Road creator a martyr.

As the world enters the second Trump era, WIRED sat down with Jen Easterly, who recently left her top spot as director of the Cybersecurity and Infrastructure Security Agency to discuss the cyber threats facing the US and CISA’s uncertain future as the frontline watchdog against nation-state hackers and other digital security threats facing the US.

Lastly, we detailed new research that revealed how trivial bugs had exposed Subaru’s system for tracking the locations of its customers’ vehicles. The researchers found they could access a web portal for Subaru employees that allowed them to pinpoint up to a years’ worth of a car’s location—down to the parking spots they use. The flaws are now patched, but Subaru employees still have access to sensitive driver location data.

That’s not all. Each week, we round up the security and privacy news we didn’t cover in depth ourselves. Click the headlines to read the full stories. And stay safe out there.

**Judge Says Controversial FBI Searches Require a Warrant**

A US judge in New York this week found that the FBI’s practice of searching data on US persons under Section 702 of the Foreign Intelligence Surveillance Act without obtaining a warrant is unconstitutional. FISA gives the US government the authority to collect the communications of foreign entities through internet providers and companies like Apple and Google. Once this data was collected, the FBI could perform “backdoor searches” for information on US citizens or residents who communicated with foreigners, and it did so without first obtaining a warrant. Judge DeArcy Hall found that these searches do require a warrant. “To hold otherwise would effectively allow law enforcement to amass a repository of communications under Section 702—including those of US persons—that can later be searched on demand without limitation,” the judge wrote.

**Cloudflare Function Could Expose App Users’ Rough Location**

An “issue” with the basic functionality of internet infrastructure company Cloudflare’s content delivery network, or CDN, can reveal the coarse location of people using apps, including those meant for protecting privacy, according to findings from an independent security researcher. Cloudflare has servers in hundreds of cities and more than 100 countries around the world. Its CDN works by caching peoples’ internet traffic across its servers then delivering that data from the server closest to a person’s location. The security researcher, who goes by Daniel, found a way to send an image to a target, collect the URL, then use a custom-built tool to query Cloudflare to find out which data center delivered the image—and thus the state or possibly the city the target is in. Fortunately, Cloudflare tells 404 Media that it fixed the issue after Daniel reported it.

**Trump Administration Disbands Review Board Investigating China’s Salt Typhoon Attacks**

In one of its first moves after Trump took office on Monday, the Department of Homeland Security let go everyone on the agency’s advisory committees. This includes the Cyber Safety Review Board, which was investigating widespread attacks on the US telecommunications system by the China-backed hacker group Salt Typhoon. US authorities revealed in mid-November that Salt Typhoon had embedded itself in at least nine US telecoms for espionage purposes, potentially exposing anyone using unencrypted calls and text message to surveillance by Beijing. While the future of the CSRB remains uncertain, sources tell reporter Eric Geller that their investigation into Salt Typhoon’s attacks is effectively “dead.”

US Privacy Snags a Win as Judge Limits Warrantless FBI Searches

A departmentwide initiative has now led to five major law enforcement actions, in an attempt to curb the increasingly common trend of North Korean hackers posing as IT job applicants.

Source: Sean Hawkey via Alamy Stock Photo

Two Americans, two North Koreans, and a Mexican man have been indicted for their roles in an IT worker scam.

According to the Department of Justice (DoJ), Pak Jin-Song, Jin Sung-Il, and other North Korean co-conspirators secured IT jobs with at least 64 different American companies. They managed it using fake identities facilitated by Pedro Ernesto Alonso De Los Reyes, a Mexican citizen living in Sweden, and carried out their jobs with the help of laptop farms maintained by US citizens Emanuel Ashtor and Erick Ntekereze Prince.

The ruse lasted from April 2018 to last August. For a sense of how lucrative it was, the DoJ noted that earnings from just 10 of the 64 affected companies yielded the scammers $866,255.

**Breakdown of a North Korean IT Scam**

The IT worker scam, now tried and true, developed as a workaround for trade and economic sanctions imposed by the US on the Democratic People's Republic of Korea (DPRK). North Koreans under the employ of sanctioned DPRK government ministries, under assumed identities and relocated in places like China and Russia, apply for remote jobs in America's lucrative tech industry. They perform their jobs adequately enough, but funnel their earnings back to their shriveled government. And some portion of that money, inevitably, ends up funding its notorious nuclear and missile development programs.

Related:CISOs Are Gaining C-Suite Swagger, but Has It Come With a Cost?

But getting a high-paying tech job is no simple, overnight process. To facilitate these scams, by trick or by trade, North Korea recruits Americans and other foreign nationals to help them implement the plan. In this case, the help came from a few central individuals.

In some cases, Alonso lent the hungry job seekers his identity, which they presented as their own in job applications and interview processes. In other cases, the North Koreans stole real US citizens' government identification documents, then superimposed their own headshots on them. In other cases, they solicited help with forgeries from the Web.

After securing sometimes six-figure gigs, the North Korean workers would have company laptops delivered to Ashtor or Prince. By a certain point, the Americans were running full-on laptop farms from their homes in North Carolina. To enable North Koreans in China to work from laptops on the US East Coast, they covertly downloaded and installed remote access software onto these corporate devices. And to conceal where the salaries were actually going, they used their own registered companies to invoice employers. Payments would then be laundered through Chinese bank accounts.

Related:War Game Pits China Against Taiwan in All-Out Cyberwar

Ashtor and Prince were arrested in North Carolina, and Alonso in the Netherlands. All five men are now charged with conspiracy to cause damage to a protected computer, conspiracy to commit wire fraud and mail fraud, conspiracy to commit money laundering, and conspiracy to transfer false identification documents. The two named North Koreans have earned a bonus charge of conspiracy to violate the International Emergency Economic Powers Act. Convictions could entail prison sentences of up to 20 years.

**Are Recent Arrests Having an Impact on Cybercrime?**

Last March, the DoJ launched its DPRK RevGen: Domestic Enabler Initiative, focused on shutting down the laptop farms crucial to facilitating North Korean IT worker scams. In the time since, authorities have made notable arrests and seizures on four separate occasions.

"They've been warned about this for two years, and we're finally just now starting to see the United States government starting to form a defensive policy, \[with\] routine arrests and sanctions," says Roger Grimes, data-driven defense evangelist at KnowBe4, a company that accidentally hired a North Korean employee last year.

Grimes hasn't yet observed any noticeable decline in these scams since the DoJ initiative began. In fact, he reports, KnowBe4 has received applications from fake IT workers even since its first, widely publicized incident. Any Americans joined up with Kim might consider, though, that besides the threat of arrest, the gig isn't always as lucrative as it seems.

Related:84% of Healthcare Organizations Spotted a Cyberattack in the Late Year

"A lot of them have been cheated," Grimes notes. While cases have varied widely, he claims, "Many \[Americans have been\] promised a lot more, and either only got paid partially, or some of them didn't get paid at all. So they were really cheated."

**About the Author**

Nate Nelson is a writer based in New York City. He formerly worked as a reporter at Threatpost, and wrote "Malicious Life," an award-winning Top 20 tech podcast on Apple and Spotify. Outside of Dark Reading, he also co-hosts "The Industrial Security Podcast."

DoJ Busts Up Another Multinational DPRK IT Worker Scam

At Black Hat and DEF CON, cybersecurity experts were asked to game out how Taiwan could protect its communications and power infrastructure in case of invasion by China.

Source: Kevin M. Law via Alamy Stock Photo

If China attacked Taiwan, how could Taiwan defend its critical communications infrastructure from cyberattack?

Last year, Dr. Nina A. Kollars and Jason Vogt — both associate professors at the US Naval War College (USNWC) Cyber and Innovation Policy Institute (CIPI) — designed a war game to inspire some novel strategies. They enlisted government and private sector cybersecurity experts at Black Hat and DEF CON to participate, and presented the results at ShmooCon earlier this month.

The scenario was this:

August 6, 2030. Relations between the PRC and Taiwan had deteriorated to the breaking point due to the re-election of a liberal, pro-independence party. Rhetoric towards independence was at an all-time high, and several government representatives had openly called for UN recognition of Taiwan as an independent state. The Central Committee of the Communist Party (CCCP) decided that the risk of Taiwan declaring independence was high enough to warrant military intervention. They began preparations for an invasion. With little chance of surprise, the PRC decided to do their utmost to disrupt Taiwan’s military and civilian communications prior to the assault.

The experts came up with 65 ways Taiwan's government could prepare for such a war, ranging from the low tech, like using ham radio when mobile networks go down, to the ambitious, such as investing in modular nuclear reactors or tidal power generation, to the outlandish, for example using civilians or cultural artifacts as deterrents against military strikes.

Related:Thai Police Systems Under Fire From 'Yokai' Backdoor

**Taiwan's Unique Indefensibility**

In designing the war game, "We put very specific emphasis on what we call the 'Zelensky playbook,'" Kollars says. Ukrainian President Volodymyr Zelensky made certain that communications could occur between his own people and the capital, and between the capital and the rest of the world. "We went into designing the war game specifically to answer the question: Could the Taiwanese play Zelensky? Even under any kind of duress, could they find a way to keep communicating?"

What was clear early on is that political and geographic factors make Taiwan much more vulnerable to blockade. Ukraine is in mainland Europe, with a long border through which it can receive resources of one kind or another — fuel, Internet connectivity, and food, for example. Taiwan's highly connected populus is served by 16 undersea cables, three of which run through China, making them eminently cuttable. Meanwhile, it imports nearly all of its energy from overseas, and has been phasing out domestic nuclear power, which might otherwise provide a balance. "So pretty quickly you get this pretty dire picture, where it's just a fundamentally different kind of battle," Kollars explains.

Related:Russian FSB Hackers Breach Pakistani APT Storm-0156

"Taiwan is in a very vulnerable position because of its geography, but also because of a million little micro-decisions, which ultimately give you the telecommunications and power system that you have," Vogt says. At the time of Russia's invasion, "Ukraine had a much more diverse set of mobile providers, and the power was much more distributed — there's a lot more connections to other countries. So the Russians were probably never in a position where they could digitally isolate Ukraine, writ large. They tried to do it to the capital, but it was always going to be very hard for them. I think in the Taiwan–China scenario, China has the potential to be much more damaging."

**How to Defend Taiwan from China**

Initially, players devised strategies to combat aggressive but ultimately tempered cyberwarfare: ransomware attacks against data centers, severed submarine fiber optic cables, and forced power outages. Only then did China kick up its game with kinetic strikes, including PRC strikes on Taiwanes aircraft and ensuring that nothing can fly in Taiwanese airspace. In the scenario, PRC also destroyed bridges and key routes to coastal defenses, while also targeting Taiwan's command-and-control systems and all manner of communications systems.

Related:Hamas Hackers Spy on Mideast Gov'ts, Disrupt Israel

How could a small island nation possibly protect its infrastructure against the combined might of the world's second greatest military power?

More than two-thirds (70%) of the solutions proposed by players involved investing in infrastructure for communications, power generation, storage, and data backup and distribution. Some 20% of the ideas focused on recovery — preparing civilians with technical skills, and stockpiling spare resources, for example. Only 10% of recommendations focused on straight cybersecurity.

The physical location of critical resources was also of utmost importance. Some suggested that Taiwan take advantage of its geography by building and stockpiling equipment along its far coast, in forests, and nestled in its eastern mountain range. Some suggested decentralizing its infrastructure, spreading it out in smaller chunks all around the country using solar power and cheap radio systems. Others argued for the opposite: concentrating communications and power systems in fewer, denser areas that China might be reticent to destroy.

"There were some ideas I thought, from a military perspective, were pretty risky," Kollars admits. "One of them was to colocate all of Taiwan's precious assets — like the TSMC semiconductor plant, all of its antiquities from China, large populations, and a nuclear power plant — assuming an adversary wouldn't strike a target that had everything stacked on top of it. That's a heck of a gamble."

Ultimately, the most popular ideas were those that were cheap and practical, like using Bluetooth or Raspberry Pi mesh networks as backups to cellular connectivity. "The thing that surprised us most about this exercise," Vogt recalls, "was how much time they spent talking about the civilian population, and what needed to be done to prepare them: everything from public messaging campaigns on how to be cyber secure to full-on training programs to create civilian cyber cores that could not just protect themselves but also operate and maintain equipment when there's no government around, and keep the communications going for longer periods of time."

**About the Author**

Nate Nelson is a writer based in New York City. He formerly worked as a reporter at Threatpost, and wrote "Malicious Life," an award-winning Top 20 tech podcast on Apple and Spotify. Outside of Dark Reading, he also co-hosts "The Industrial Security Podcast."

War Game Pits China Against Taiwan in All-Out Cyberwar

PRESS RELEASE

LONDON, Jan. 20, 2025 /PRNewswire/ -- A new survey from Omdia reveals that phishing scams are the leading security threat for smartphone users, with 24% of respondents reporting they have fallen victim to these attacks. Phishing, which includes fraudulent texts, emails, or calls designed to trick individuals into revealing sensitive personal information, remains a significant concern as cybercriminals continue to exploit unsuspecting consumers.

Omdia surveyed 1,572 consumers across the Americas, Asia & Oceania, and Europe in October 2024 for the fourth annual Omdia Mobile Device Security Scorecard. The survey found that the next most common security issue was malware and viruses, followed by physical theft, such as pickpocketing, mugging, or snatching.

In Omdia's recent assessment of leading premium smartphones, Google's Pixel 9 Pro and Samsung's Galaxy S24 outperformed Apple's iPhone 16 Pro and other Android-based devices, including the OnePlus 12, Xiaomi 14, and Honor Magic 6 Pro. Anti-phishing protection proved to be a weak spot across all devices, as none successfully intercepted all phishing texts, calls and emails.  

Simulated spam calls revealed that all Android devices from Google, Xiaomi, OnePlus, Honor, and Samsung successfully flagged suspected spam calls before users answered, while the iPhone 16 Pro lacked similar voice call protection. 

None of the tested devices fully No device flagged simulated phishing emails from Gmail as phishing, only identifying them as spam when sent from Google's SMTP. 

Despite gaps in detecting phishing texts and emails, devices with Google Safe Browsing protections successfully blocked the link from opening, displaying a warning screen and requiring user confirmation to proceed. Performance across browsers varied significantly: Samsung Internet effectively blocked most links, including advanced custom URLs, while Xiaomi Mii and OnePlus Internet browsers failed to warn users about known malicious links, underscoring inconsistencies in Android device's security.

"The lack of security protection, particularly against the growing threat of phishing attacks, is eroding consumer trust," said Omdia Senior Analyst, Aaron West. "When consumers were asked if their trust following a security issue increased (due to how well the issue was handled) or decreased, 73% reported they had reduced trust in the smartphone brand and operating system developer."  

"Despite the latest protections in place by some manufacturers, it is difficult to protect 100% against phishing attempts, highlighting the severity of the issue and potential impact to consumers. That said, smartphone manufacturers can (demonstrated by the more advanced phishing protection capabilities available) and should have a better baseline of phishing protection – such as voice call protection, and all Android devices making use of Google's Safe Browsing protections," said Hollie Hennessy, Principal Analyst, Omdia. "This needs to be paired with awareness activity from manufacturers and the wider industry to help consumers be vigilant and prepared".

ABOUT OMDIA

Omdia, part of Informa TechTarget, Inc. (Nasdaq: TTGT), is a technology research and advisory group. Our deep knowledge of tech markets combined with our actionable insights empower organizations to make smart growth decisions.

Omdia Finds Phishing Attacks Top Smartphone Security Concern for Consumers

While employees want to take advantage of the increased efficiency of GenAI and LLMs, CISOs and IT teams must be diligent and stay on top of the most up-to-date security regulations.

Anuj Jaiswal, Chief Product Officer, Fortanix

January 23, 2025

3 Min Read

Source: LuckyStep48 via Alamy Stock Vector

COMMENTARY

The rapid rise of artificial intelligence (AI) has cast a long shadow, but its immense promise comes with a significant risk: shadow AI.

Shadow AI refers to the use of AI technologies, including AI models and generative AI (GenAI) tools outside of a company's IT-sanctioned governance. As more people use tools like ChatGPT to increase their efficiency at work, many organizations are banning publicly available GenAI for internal use. Among the organizations looking to prevent unnecessary security risks are those in the financial services and healthcare sectors, as well as technology companies like Apple, Amazon, and Samsung.

Unfortunately, enforcing such a policy is an uphill battle. According to a recent report, non-corporate accounts make up 74% of ChatGPT use and 74% of Gemini and Bard use at work. Employees can easily skirt corporate policies to continue their AI use for work, potentially opening up security risks.

The greatest among these is the lack of protection for sensitive data. As of March 2024, 27.4% of data inputted into AI tools would be considered sensitive, an increase from 10.7% at the same time last year. Protecting this information once it is put into a GenAI tool is virtually impossible.

The uncontrolled risk of shadow AI usage reveals the need for stringent privacy and security practices when employees use AI.

It all boils down to data. Data is the fuel of AI, but it is also the most valuable asset to organizations. Stolen, leaked, or corrupted data causes real, tangible harm to a business — regulatory fines from leaking personally identifiable information (PII), costs associated with leaked proprietary information like source code, and an increase in severe security breaches like hacks and malware.

To mitigate risk, organizations must secure their data while it's at rest, in transit, and in use. The counter to risky shadow AI use is having fine control over the information employees feed into large language models (LLMs).

**How Can CISOs Secure GenAI and Company Data?**

Securing sensitive company data is a challenging balancing act for chief information security officers (CISOs) as they weigh the desire for their organizations to take advantage of the perceived value of GenAI while also protecting the sole asset that makes these benefits possible — their data.

So, the question becomes: How do you do this? How do you get the balance right? How do you extract positive business outcomes while protecting the enterprise's most valuable asset?

At a high level, CISOs should look at protecting data through its entire life cycle. This includes:

*   Protecting the data before it is even ingested into the GenAI model
    

*   Ensuring that the data output is completely secured, as this new data will drive the business outcomes and create true value
    

If the data life cycle isn't secure, this becomes a business-critical exposure.

More specifically, a multifaceted approach is necessary to protect sensitive data from being leaked, and though it starts with limiting shadow AI as much as possible, it is just as important to preserve data security and privacy with some basic best practices:

*   Encryption: Data encryption across its life cycle is vital, but it's equally important to manage and store encryption keys securely and separately from the data itself.
    
*   Obfuscation: Use data tokenization to anonymize any sensitive or PII data that could be fed to an LLM. This prevents data that enters the AI pipeline from being corrupted or leaked.
    
*   Access: Apply granular, role-based access controls to data so that only authorized users can see and use the data in plain text.
    
*   Governance: Commit to ethical business practices, embed data privacy across all operations, and remain current on data privacy regulations.
    

As is often the case with most tech advancements, GenAI's ease and convenience come with some fallbacks. While employees want to take advantage of the increased efficiency of GenAI and LLMs for work, CISOs and IT teams must be diligent and stay on top of the most up-to-date security regulations to prevent sensitive data from entering the AI system. Along with making sure workers know the importance of data protection, it is key to mitigate potential risks by taking all measures to encrypt and secure data from the start.

**About the Author**

Chief Product Officer, Fortanix

Anuj Jaiswal is chief product officer at Fortanixa. He is seasoned product and engineering leader with an impressive track record spanning more than 20 years. Anuj previously served as vice president of engineering at Embrace.io and was a pivotal figure at Arkin, a company that caught the attention of VMware and was subsequently acquired in 2016. During his time at Arkin, Anuj played a critical role in the acquisition process, showcasing his strategic vision and technical insight. Before Arkin, Anuj worked as a senior leader at FrontRange Solutions (acquired by Ivanti) and DBO2 (acquired by Predictive Solutions).

Anuj's domain knowledge is extensive, covering crucial areas such as cloud security, network security, cybersecurity, data security and application performance monitoring (APM) for both cloud and mobile applications. His approach to product management — vision, strategy, customer-centric, roadmapping, partnerships, and UX — has consistently resulted in products that drive revenue and growth for organizations while meeting customer needs. Anuj holds a master's degree in computer applications and a bachelor's degree in business administration.

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