Cybersecurity researchers have disclosed a series of now-patched security vulnerabilities in Apple's AirPlay protocol that, if successfully exploited, could enable an attacker to take over susceptible devices supporting the proprietary wireless technology.
The shortcomings have been collectively codenamed AirBorne by Israeli cybersecurity company Oligo.
"These vulnerabilities can be chained by

Wormable AirPlay Flaws Enable Zero-Click RCE on Apple Devices via Public Wi-Fi

The open source software easyjson is used by the US government and American companies. But its ties to Russia’s VK, whose CEO has been sanctioned, have researchers sounding the alarm.

Since Russian troops invaded Ukraine more than three years ago, Russian technology companies and executives have been widely sanctioned for supporting the Kremlin. That includes Vladimir Kiriyenko, the son of one of Vladimir Putin’s top aides and the CEO of VK Group, which runs VK, Russia’s Facebook equivalent that has increasingly shifted towards the regime’s repressive positioning.

Now cybersecurity researchers are warning that a widely used piece of open source code—which is linked to Kiriyenko’s company and managed by Russian developers—may pose a “persistent” national security risk to the United States. The open source software (OSS), called easyjson, has been widely used by the US Department of Defense and “extensively” across software used in the finance, technology, and healthcare sectors, say researchers at security company Hunted Labs, which is behind the claims. The fear is that Russia could alter easyjson to steal data or otherwise be abused.

“You have this really critical package that’s basically a linchpin for the cloud native ecosystem, that’s maintained by a group of individuals based in Moscow belonging to an organization that has this suspicious history,” says Hayden Smith, a cofounder at Hunted Labs.

For decades, open source software has underpinned large swathes of the technology industry and the systems people rely on day to day. Open source technology allows anyone to see and modify code, helping to make improvements, detect security vulnerabilities, and apply independent scrutiny that’s absent from the closed tech of corporate giants. However, the fracturing of geopolitical norms and the specter of stealthy supply chain attacks has led to an increase in questions about risk levels of "foreign" code.

Easyjson is a code serialization tool for the Go programming language and is often used across the wider cloud ecosystem, being present in other open source software, according to Hunted Labs. The package is hosted on GitHub by a MailRu account, which is owned by VK after the mail company rebranded itself in 2021. The VK Group itself is not sanctioned. Easyjson has been available on Github since 2016, with most of its updates coming before 2020. Kiriyenko became the CEO of VK Group in December 2021 and was sanctioned in February 2022.

Hunted Labs’ analysis shared with WIRED shows the most active developers on the project in recent years have listed themselves as being based in Moscow. Smith says that Hunted Labs has not identified vulnerabilities in the easyjson code.

However, the link to the sanctioned CEO’s company, plus Russia’s aggressive state-backed cyberattacks, may increase potential risks, Smith says. Research from Hunted Labs details how code serialization tools could be abused by malicious hackers. “A Russian-controlled software package could be used as a ‘sleeper cell’ to cause serious harm to critical US infrastructure or for espionage and weaponized influence campaigns,” it says.

“Nation states take on a strategic positioning,” says George Barnes, a former deputy director at the National Security Agency, who spent 36 years at the NSA and now acts as a senior advisor and investor in Hunted Labs. Barnes says that hackers within Russia’s intelligence agencies could see easyjson as a potential opportunity for abuse in the future.

“It is totally efficient code. There’s no known vulnerability about it, hence no other company has identified anything wrong with it,” Barnes says. “Yet the people who actually own it are under the guise of VK, which is tight with the Kremlin,” he says. “If I’m sitting there in the GRU or the FSB and I’m looking at the laundry list of opportunities… this is perfect. It’s just lying there,” Barnes says, referencing Russia’s foreign military and domestic security agencies.

VK Group did not respond to WIRED’s request for comment about easyjson. The US Department of Defense did not respond to a request for comment about the inclusion of easyjson in its software setup.

“NSA does not have a comment to make on this specific software,” a spokesperson for the National Security Agency says. “The NSA Cybersecurity Collaboration Center does welcome tips from the private sector—when a tip is received, NSA triages the tip against our own insights to fully understand the threat and, if corroborated, share any relevant mitigations with the community.” A spokesperson for the US Cybersecurity and Infrastructure Security Agency, which has faced upheaval under the second Trump administration, says: “We are going to refer you back to Hunted Labs.”

GitHub, a code repository owned by Microsoft, says that while it will investigate issues and take action where its policies are broken, it is not aware of malicious code in easyjson and VK is not sanctioned itself. Other tech companies’ treatment of VK varies. After Britain sanctioned the leaders of Russian banks who own stakes in VK in September 2022, for example, Apple removed its social media app from its App Store.

Dan Lorenc, the CEO of supply chain security firm Chainguard, says that with easyjson, the connections to Russia are in “plain sight” and that there is a “slightly higher” cybersecurity risk than those of other software libraries. He adds that the red flags around other open source technology may not be so obvious.

“In the overall open source space, you don’t necessarily even know where people are most of the time,” Lorenc says, pointing out that many developers do not disclose their identity or locations online, and even if they do, it is not always possible to verify the details are correct. “The code is what we have to trust and the code and the systems that are used to build that code. People are important, but we’re just not in a world where we can push the trust down to the individuals,” Lorenc says.

As Russia’s full-scale invasion of Ukraine has unfolded, there has been increased scrutiny on the use of open source systems and the impact of sanctions upon entities involved in the development. In October last year, a Linux kernel maintainer removed 11 Russian developers who were involved in the open souce project, broadly citing sanctions as the reason for the change. Then in January this year, the Linux Foundation issued guidance covering how international sanctions can impact open source, saying developers should be cautious of who they interact with and the nature of interactions.

The shift in perceived risk is coupled with the threat of supply chain attacks. Last year, corporate developers and the open source world were rocked as a mysterious attacker known as Jia Tan stealthily installed a backdoor in the widely used XZ Utils software, after spending two years diligently updating it without any signs of trouble. The backdoor was only discovered by chance.

“Years ago, OSS was developed by small groups of trusted developers who were known to one another,” says Nancy Mead, a fellow of the Carnegie Mellon University Software Engineering Institute. “In that time frame, no one expected a trusted developer of being a hacker, and the relatively slower pace provided time for review. These days, with automatic release, incorporation of updates, and the wide usage of OSS, the old assumptions are no longer valid.”

Scott Hissam, a senior member of technical staff also from the Carnegie Software Engineering Institute, says there can often be consideration about how many maintainers and the number of organizations that work on an open source project, but there is currently not a “mass movement” to consider other details about OSS projects. “However, it is coming, and there are several activities that collect details about OSS projects, which OSS consumers can use to get more insight into OSS projects and their activities,” Hissam says, pointing to two examples.

Hunted Lab’s Smith says he is currently looking into the provenance of other open source projects and the risks that could come with them, including scrutinizing countries known to have carried out cyberattacks against US entities. He says he is not encouraging people to avoid open source software at all, more that risk considerations have shifted over time. “We’re telling you to just make really good risk informed decisions when you're trying to use open source,” he says. “Open source software is basically good until it's not.”

Security Researchers Warn a Widely Used Open Source Tool Poses a 'Persistent' Risk to the US

A list of topics we covered in the week of April 27 to May 3 of 2025

May 2, 2025 - Passwords are becoming things of the past. Passkeys are more secure, easier to manage, and speed up the log in process

May 1, 2025 - Researchers found a set of vulnerabilities that puts all devices leveraging Apple's AirPlay at risk.

May 1, 2025 - These 3 cybersecurity threats may not be the most sophisticated, but they're the most effective—and serious—threats for small businesses.

May 1, 2025 - Cybercriminals are having less success targeting end-user technology with zero-day attacks, said Google's security team this week.

April 30, 2025 - Fake emails pretending to come from the US Social Security Administration try to get targets to install ScreenConnect for remote access.

 A week in security (April 27 &#8211; May 3) 

Oligo Security uncovers “AirBorne,” a set of 23 vulnerabilities in Apple AirPlay affecting billions of devices. Learn how…

Oligo Security uncovers “AirBorne,” a set of 23 vulnerabilities in Apple AirPlay affecting billions of devices. Learn how these flaws enable remote control (RCE) and data theft on iPhones, Macs, CarPlay, and more.

Cybersecurity firm Oligo has revealed major vulnerabilities, dubbed AirBorne, in Apple’s AirPlay, a wireless system used by iPhones, iPads, Macs, and third-party devices for audio and video streaming. These flaws in Apple’s AirPlay software tools for other companies could let hackers take control of devices on the same Wi-Fi network.

Apple has released updates for its devices and provided fixes to third-party makers, urging users to update. However, not all companies update quickly. Oligo identified 23 vulnerabilities, leading to 17 security identifiers (CVEs), that could enable various attacks, including taking complete control of a device without user interaction (Zero-Click RCE), reading any file (Local Arbitrary File Read), stealing private information, and intercepting communications. Attackers could combine these to fully control devices.

Two key vulnerabilities (CVE-2025-24252 and CVE-2025-24132) could allow wormable attacks, spreading harmful software automatically across networks. This could lead to serious issues like spying and ransomware. Millions of Apple devices and third-party AirPlay devices, including those in cars (CarPlay), are potentially affected.

Oligo demonstrated Zero-Click RCE on macOS (CVE-2025-24252) under certain network settings, potentially allowing malware to spread. They also found One-Click RCE on macOS (CVE-2025-24271) under different settings. Speakers and receivers using AirPlay SDK are vulnerable to Zero-Click RCE (CVE-2025-24132), allowing eavesdropping. CarPlay devices are also at risk of RCE, which could distract drivers or enable tracking.

Oligo’s research found that many basic AirPlay commands were accessible without strong security. The vulnerabilities often relate to how the AirPlay software handles data in a format called “plist.”

For your information, plist is AirPlay’s system that combines HTTP and RTSP protocols to communicate over port 7000. Commands, particularly those with extra information, are sent as HTTP data in plist format.

Oligo gave one example of a type of confusion vulnerability (CVE-2025-24129) that happens because the AirPlay software doesn’t properly check the type of data it receives in a plist. If it expects a list of items but gets something else, it can cause the program to crash.

Crashing a device’s AirPlay could allow attackers to intercept communications. For example, crashing the AirPlay server on a device could allow an attacker to pretend to be that device on the network and intercept communications. They gave a scenario where an attacker could crash a TV’s AirPlay, fake its identity, and then record a meeting being streamed to it, researchers noted.

Oligo’s in-depth technical report published on April 29, 2025, urges users and organizations to immediately update all Apple and third-party AirPlay devices to the latest software. They also suggest disabling AirPlay when not in use and limiting AirPlay access on networks.

In a comment to Hackread.com, cybersecurity expert and Head of Business Product at NordPass, Karolis Arbaciauskas stated that “Many third-party AirPlay devices don’t get timely updates like Apple’s, so vulnerabilities may remain. To exploit them, an attacker needs access to your Wi-Fi, so secure your router with updates and a strong password.”

“Factory-set passwords are often weak, so always change them. Use at least eight random characters with numbers and symbols, and consider a password manager to make this easier,” Karolis advised. “Avoid using AirPlay on public Wi-Fi, which is often insecure. If possible, use your phone’s hotspot instead, or at least avoid open networks and use a VPN.”

Billions of Apple Devices at Risk from “AirBorne” AirPlay Vulnerabilities

Plus: France blames Russia for a series of cyberattacks, the US is taking steps to crack down on a gray market allegedly used by scammers, and Microsoft pushes the password one step closer to death.

Researchers unveiled a cluster of vulnerabilities in Apple’s wireless media streaming platform AirPlay this week that leave millions of third-party devices like speakers and TVs vulnerable to takeover if an attacker is on the same Wi-Fi network as the victim gadget. These “AirBorne” vulnerabilities have all been patched—including some that potentially impacted Apple’s Mac computers—but, in practice, third-party devices may not all get fixes, and even if they do, patch adoption could be low.

Records reviewed by WIRED show that utilizing car subscription features can substantially raise your risk of being subjected to government surveillance, because such services generate troves of data that are valuable to law enforcement. WIRED also did a deep dive on North Korea’s yearslong campaign to place IT workers inside companies in North American, the United Kingdom, and Europe. The schemes are more effective than ever as scammers incorporate AI into their workflows.

WhatsApp designed a special cloud processing platform called Private Processing to allow new AI tools to work in the secure messenger without compromising its end-to-end encryption. Experts warn, though, that it could create enticing targets for hackers. And we have a guide for navigating the privacy risks of using ChatGPT’s new image generator to do seemingly fun and innocuous projects like making an action figure version of yourself.

But wait, there's more! 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.

**Three British Retailers Hacked in Spate of Cyberattacks**

Three separate retailers in the UK—including the supermarket Co-op and thedepartment stores Marks & Spencer and Harrods—have all revealed they have recently been subject to cyberattacks, with the intrusions and widespread impact seemingly ongoing. Toward the end of April, Marks & Spencer revealed it had been the victim of a “cyber incident.” Over the following two weeks, it has been forced to pause online orders within its apps, some food has been missing from its shelves, and it has paused recruitment and other “normal processes.” Staff at Co-op have been told to keep webcams turned on during remote meetings and check who is attending calls, after shutting down parts of its IT systems in response to its own hack. Harrods, meanwhile, told customers to “not do anything differently at this point.”

At the time of writing, none of the retailers have detailed the specific nature of the cyberattacks or the full scale of the impacts. It is also unclear if the attacks are linked. Bloomberg has reported a ransomware cartel dubbed DragonForce has claimed it and its partners were behind the attacks. The so-called cartel provides “infrastructure and tools” to hackers but “doesn't require affiliates to deploy its ransomware,” according to research from security firm Secureworks. The hacked companies did not respond to Bloomberg about the claims.

Bleeping Computer originally reported that the threat actors known as Scattered Spider were allegedly behind the attack on Marks & Spencer. The publication reported that the company’s servers were encrypted by ransomware, with the intrusion beginning as early as February. The attribution to Scattered Spider has not been confirmed by Marks & Spencer.

Over the past two years, Scattered Spider has emerged as one of the most prolific and dangerous sets of hackers currently operating. The threat actors are not a well-defined group of hackers. Instead, they’re more a loose collective that uses social engineering—such as phishing and voice calls—to gain initial access into company networks. Scattered Spider members are often English-speaking, teenaged, and can be members of the heinous criminal group the Com. The hackers have been active since June 2022 and have targeted more than 100 companies—including the high-profile hacks on Caesar's Entertainment and MGM Resorts in 2023.

**France (Finally) Names Russian Hackers for the First Time**

French authorities have condemned Russia’s military intelligence agency, accusing it of orchestrating a series of high-profile cyberattacks—including the hacking of Emmanuel Macron’s 2017 presidential campaign, a brazen 2015 assault on the TV channel TV5 Monde, and recent intrusion attempts targeting organizations involved in preparing the 2024 Paris Olympic Games.

French authorities have also disclosed the name and location of a GRU unit tied to the notorious hacking group APT28—information that had never before been officially released. Unit 20728 is based in the southern Russian city of Rostov-on-Don and operates out of the "166th Information Research Center."

This marks the first time French officials have publicly assigned blame to a foreign intelligence service following an internal attribution process. The timing is significant, coming as Paris positions itself at the forefront of Europe’s support for Ukraine.

**US Moves to Crack Down on ‘Largest Illicit Marketplace’**

The Trump administration has taken the first step toward blacklisting a Cambodian financial conglomerate at the center of a global money laundering network. On Thursday, the Treasury Department designated Huione Group as a money-laundering operation, alleging that the company and its affiliates have laundered more than $4 billion for criminals, including North Korean hackers and online scammers.

These scammers—who defraud victims through bogus investments and other schemes—rely on Huione and its affiliates to move funds abroad to evade both law enforcement and anti-money-laundering systems. The proposed action represents the most significant effort yet to crack down on Huione, which is tied to what experts believe to be the “largest illicit marketplace”: Huione Guarantee. According to WIRED’s January report, the marketplace has likely facilitated over $24 billion in gray-market transactions. Experts believe the platform operates as a one-stop shop for scammers, offering everything from victim contact lists and deepfake tools to fake investment websites and other illicit services.

**New Microsoft Accounts Won’t Need Passwords Anymore**

Slowly but surely, the password is dying. Over the past two years, passkeys—a stronger method of authentication that doesn’t require you to remember or use a password—have become more common. The rollout of the technology has been piecemeal, but big tech companies have worked for years to create the alternative, which is more secure than passwords. This week, Microsoft announced that people setting up new accounts with the company won’t have to create passwords at all. “New Microsoft accounts will now be ‘passwordless by default,’” the company wrote in a blog post. Microsoft is also pushing people further away from passwords and will “detect” the best way for people to lo in to their accounts if they have set up alternatives to passwords.

Hacking Spree Hits UK Retail Giants

Joe talks about how helping the helpers can put a fire in you and the importance of keeping nonprofits cybersecure.

Thursday, May 1, 2025 14:01

Welcome to this week’s edition of the Threat Source newsletter. 

Recently, I was invited to sit on a panel at the CIO4Good Conference here in Washington D.C., where I talked about incident response and cyber preparedness to a room full of CIOs who help lead wonderful missions to help others. I’m incredibly fortunate to be able to volunteer for the NGO community. I’ve been involved with them for a few years now, and it has been a singular experience.  

I sit in a uniquely blessed situation. Cisco Talos is resourced to help protect our customers — we have expertise, tooling and a huge array of diverse security skillsets. A humanitarian assistance or non-governmental organization (NGO) usually has none or very few of these luxuries. If I can take some of my time and experience here at Talos and help others who provide housing to the homeless, protect refugees or feed the hungry, damn right I’m gonna do it. And NGOs? They really need help.  

In today’s global humanitarian funding climate, money and grants are very scarce to come by_._ This means the competition for the dollars that remain is fierce, and that things like cybersecurity can fall by the wayside. But security in an NGO is incredibly important. We're talking about incredibly vulnerable and marginalized people who deserve aid, and the amazing volunteers who should have privacy without malicious interference. 

The hard truth is that cybersecurity can be a bleak space. We as professionals do not operate in the “good news” business. We work, and thrive, in adversarial conditions — actively searching for what the bad guys are doing and learning how they are coming after the good guys. They’re launching ransomware. They are extorting and causing real harm to others. This is day in and day out, and it can wear you down mentally. You have to endure and focus on the mission. After all, that’s the gig. 

This is why I enjoy volunteering by either giving some of my time and expertise to a mentee or to an NGO that has an outstanding mission to help others. It puts fuel in your soul and reminds you that others are fighting their own good fights. These organizations are some of the best. They have a thankless, often dangerous, mission to help others have better lives. The way I see it, volunteering is the least I could do. 

If you want to join me, there are some places that could use your help. Check out the Cyber Peace Institute, or Defcon Project Franklin.

**The one big thing **

This week is bittersweet because we’re discussing the final section of Talos' 2024 Year in Review report. Let’s jump into the abyss of AI-based threats together. 

**Why do I care? **

AI may not have upended the threat landscape last year, but it’s setting the stage for 2025, where agentic AI and automated vulnerability discovery could pose serious challenges for defenders. The future may bring:

1.  The use of agentic AI to conduct multi-stage attacks or find creative ways to access restricted systems 
2.  Improved personalization and professionalization of social engineering 
3.  Automated vulnerability discovery and exploitation 
4.  Capabilities to compromise AI models, systems and infrastructure that organizations around the world are building 

**So now what? **

Continue to stay informed and alert, and for more information, read Talos’ blog post about these threats or download the full Year in Review.

**Top security headlines of the week **

**AirPlay Vulnerabilities Expose Apple Devices to Zero-Click Takeover.** The identified security defects, 23 in total, could be exploited over wireless networks and peer–to-peer connections, leading to the complete compromise of not only Apple products, but also third-party devices that use the AirPlay SDK. (SecurityWeek) 

**4 Million Affected by VeriSource Data Breach.** VeriSource says the stolen information belonged to employees and dependents of companies using its services. It has been working with its customers to “collect the necessary information to notify additional individuals affected by this incident.” (SecurityWeek) 

**SAP NetWeaver Visual Composer Flaw Under Active Exploitation.** CVE-2025-31324 is a critical vulnerability with a maximum CVSS score of 10 that affects all SAP NetWeaver 7.xx versions. It allows unauthenticated remote attackers to upload arbitrary files to Internet exposed systems without any restrictions. (DarkReading) 

**FBI shares massive list of 42,000 LabHost phishing domains.** The FBI has shared 42,000 phishing domains tied to the LabHost cybercrime platform, one of the largest global phishing-as-a-service (PhaaS) platforms that was dismantled in April 2024. (BleepingComputer)

**Can’t get enough Talos? **

State-of-the-art phishing: MFA bypass. Cybercriminals are bypassing multi-factor authentication (MFA) using adversary-in-the-middle (AiTM) attacks via reverse proxies, intercepting credentials and authentication cookies.

IR Trends Q1 2025: Phishing soars as identity-based attacks persist. This quarter, phishing attacks surged as the primary method for initial access. Learn how you can detect and prevent pre-ransomware attacks.

TTP Episode 11. Craig, Bill and Hazel discuss three of the biggest callouts from Cisco Talos' latest Incident Response Quarterly Trends.

Talos Takes: Identity and MFA. Hazel and friends discuss how AI isn't rewriting the cybercrime playbook, but it is turbo charging some of the old tricks, particularly on the social engineering side.

**Upcoming events where you can find Talos **

*   PIVOTcon (May 7 – 9) Malaga, Spain 
*   CTA TIPS 2025 (May 14 – 15)  Arlington, VA 
*   Cisco Connect UK & Ireland (May 20) London, UK 
*   BotConf (May 20 – 23) Angers, France 
*   Cisco Live U.S. (June 8 – 12) San Diego, CA

**Most prevalent malware files from Talos telemetry over the past week **

**SHA256: 9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507**    
MD5: 2915b3f8b703eb744fc54c81f4a9c67f    
VirusTotal: https://www.virustotal.com/gui/file/9f1f11a708d393e0a4109ae189bc64f1f3e312653dcf317a2bd406f18ffcc507/    
Typical Filename: VID001.exe   
Detection Name: Win.Worm.Bitmin-9847045-0 

**SHA256: a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91**    
MD5: 7bdbd180c081fa63ca94f9c22c457376    
VirusTotal: https://www.virustotal.com/gui/file/a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91    
Typical Filename: img001.exe   
Detection Name: Simple\_Custom\_Detection 

**SHA256: 47ecaab5cd6b26fe18d9759a9392bce81ba379817c53a3a468fe9060a076f8ca**    
MD5: 71fea034b422e4a17ebb06022532fdde    
VirusTotal: https://www.virustotal.com/gui/file/a31f222fc283227f5e7988d1ad9c0aecd66d58bb7b4d8518ae23e110308dbf91    
Typical Filename: VID001.exe    
Detection Name: Coinminer:MBT.26mw.in14.Talos

Understanding the challenges of securing an NGO

Researchers found a set of vulnerabilities that puts all devices leveraging Apple's AirPlay at risk.

Researchers found a set of vulnerabilities in Apple’s AirPlay SDK that put billions of users at risk of their devices being taking over.

AirPlay is Apple’s proprietary wireless technology that allows you to stream audio, video, photos, and even mirror your device’s screen from an iPhone, iPad, or Mac to other compatible devices like Apple TV, HomePod, smart TVs, or speakers. It works over Wi-Fi, so you don’t need cables.

Apple added the necessary updates on April 28 to the March 31 update. The update—iOS 18.4 and iPadOS 18.4—was initially issued on March 31, but the additional security fixes were delivered through Rapid Security Responses, or minor patches that Apple incorporated after the initial release. Rapid Security Response (RSR) is a type of software patch delivering security fixes between Apple’s regular, scheduled software updates.

The good news is if you installed the March 31 update, you should be fine. Otherwise, check manually if any updates are available.

To check if you’re using the latest software version, go to **Settings > General > Software Update**. You want to be on iOS 18.4.1 or iPadOS 18.4.1, so update now if you’re not. It’s also worth turning on Automatic Updates if you haven’t already. You can do that on the same screen.

*   The latest version of macOS is 15.4.1. Learn how to update the software on your Mac and how to allow important background updates.
*   The latest version of tvOS is 18.4.1. Learn how to update the software on your Apple TV.
*   The latest version of watchOS is 11.4. Learn how to update the software on your Apple Watch.
*   The latest version of visionOS is 2.4.1. Learn how to update the software on your Apple Vision Pro.

The AirPlay SDK (Software Development Kit) is a set of programming tools Apple provides to app developers to integrate AirPlay functionality into their apps. Using the AirPlay SDK, developers can add features that allow their apps to stream audio or video content wirelessly to AirPlay-compatible devices. This makes apps “AirPlay-ready” by handling the streaming and control behind the scenes.

Combining vulnerabilities allows an attacker on the local network to potentially take control of devices that support AirPlay—both Apple devices and third-party devices that leverage the AirPlay SDK.

Apple released updates to fix the vulnerabilities on April 29 for members of the Apple MFi Program, who are developers of Apple-compatible accessories or software.

The researchers who found and reported these flaws warn they can be exploited without any user interaction—or with just a single click—to execute remote code. Attackers could also use them for man-in-the-middle interceptions, denial-of-service disruptions, and to bypass access controls and user prompts. On top of that, these vulnerabilities may allow unauthorized access to sensitive data and local files, making them a serious risk that demands immediate attention.

**Technical details**

In total, the researchers responsibly disclosed 23 vulnerabilities to Apple, leading to 17 CVEs being issued. A complete list and description of these CVEs, as well as specific attack scenarios they enable, can be found on their blog.

The most important vulnerabilities are:

CVE-2025-24252: Successful exploitation of the use-after-free vulnerability could allow a remote attacker to execute arbitrary code. When exploited together with CVE-2025-24206, the attacker is able to perform zero-click remote code execution on other vulnerable AirPlay-enabled devices in the same network, without any user interaction. The vulnerability has a Common Vulnerability Scoring System (CVSSv3.1) score of 9.8 out of 10.

CVE-2025-24206: Successful exploitation of the vulnerability could allow an attacker to bypass authentication and conduct malicious activities without user interaction when exploited with other vulnerabilities.

CVE-2025-24132: Successful exploitation of the stack-based buffer overflow vulnerability could allow an attacker to perform zero-click remote code execution on vulnerable AirPlay SDK devices and potentially leak sensitive information by eavesdropping.

That the attacker does need to be on the same network, but exploitation require minimal to no interaction of the target.

**Possible protective actions**

These depend very much on the types of devices you are using, so I will try to give some general guidance and the reasons behind them.

*   As we said above, make sure your devices are fully updated
*   Use up-to-date and active malware protection
*   Disable AirPlay if you’re not using it, or set it to **Ask** as a minimum

*   Disable AirPlay Receiver if it is not in use.
*   Be extra careful on public networks. This vulnerability could theoretically spread in airports, offices, hotels, or conferences where many Apple devices are in close proximity. In such cases, avoid using unsecured Wi-Fi.
*   Restrict AirPlay settings: Change the **Allow AirPlay for** to **Current User**. While this does not prevent all of the issues, it does reduce the protocol’s attack surface.

**We don’t just report on phone security—we provide it**

Cybersecurity risks should never spread beyond a headline. Keep threats off your mobile devices by downloading Malwarebytes for iOS, and Malwarebytes for Android today.

 Apple AirPlay SDK devices at risk of takeover—make sure you update 

These 3 cybersecurity threats may not be the most sophisticated, but they're the most effective—and serious—threats for small businesses.

In an online world filled with extraordinarily sophisticated cyberattacks—including organized assaults on software supply chains, state-directed exploitations of undiscovered vulnerabilities, and the novel and malicious use of artificial intelligence (AI)—small businesses are forced to prioritize a different type of cyberattack: The type that gets through.

Without robust IT budgets or fully staffed cybersecurity departments, small businesses often rely on their own small stable of workers (including sole proprietors with effectively zero employees) to stay safe online. That means that what worries these businesses most in cybersecurity is what is most likely to work against them.

Here are the three biggest cybersecurity threats to small businesses right now. They may sound basic or even crude, but they are the biggest threats precisely because they are so effective.

**1\. Phishing**

In phishing scams, cybercriminals trick people and businesses into handing over sensitive information like credit card numbers or login details for vital online accounts.

Cybercriminals do this by sending messages—like emails and texts—disguised as legitimate communications from major businesses (think Slack, Uber, FedEx, and Google). These messages frequently warn recipients about a problem with their accounts, like a password that needs to be updated, a policy change that requires a login, or a delayed package that has to be approved.

But when victims follow the links within these malicious messages, they are brought to a website that, while appearing genuine, is completely controlled by cybercriminals. Lured in by similar color schemes, company logos, and familiar layouts, victims “log in” to their account by entering their username and password. In reality, those usernames and passwords are delivered directly to cybercriminals on the other side of the website.

In phishing attacks, there never is a genuine problem with a user’s account, and there never is a real request for information from the company. Instead, the entire back-and-forth is a charade.

As devastating as this is, the more complex threat of phishing lies in its adaptability. Whereas early phishing scams arrived almost entirely through emails, modern phishing scams can reach victims through malicious websites, text messages, social media, and even mobile app downloads.

In 2024, Malwarebytes found more than 22,800 phishing apps on Android, according to the recent 2025 State of Malware report. Disguised as apps such as TikTok, Spotify, and WhatsApp, these Android apps can trick victims into handing over their associated usernames and passwords when asking them to login.

Understandably, some small business owners might discount the threat of losing their login credentials to consumer tools like Spotify and TikTok. But here, the threat of phishing is compounded by another enormous problem in cybersecurity, which is that too many individuals and businesses reuse passwords across multiple accounts. That means that email login credentials that were successfully stolen in a phishing scam could also provide access to a small business’s financial accounts, payroll services, and even tax info.

Further, if a hacker were to use their wrongful access to steal customer data, then a small business might also have to front the cost for sending out data breach notifications, per their state’s regulations.

**How to protect your business:**

*   Use unique, strong passwords for each online account and store and create these passwords using a password manager
*   Enable “multifactor authentication” on all important business accounts so that hackers who steal passwords cannot access accounts with only usernames and passwords
*   Do not click on links from unknown senders
*   If you’re asked for login information through an email or online message, do _not_ input your login info in the email or through whatever link you’re directed towards. Instead, navigate to the site directly.

Social media is not just a vital tool for promoting many small businesses, it can often be the entire business itself.

YouTube video creators, Twitch streamers, and lifestyle influencers on TikTok and Instagram are effectively small business owners. They make a product and they earn revenue just like many online businesses—through ads and sponsored partnership deals.

If any of these social media business owners lost their login credentials through a phishing scam or data breach, they could potentially lose access to their entire operation.

In 2023, famous YouTube tech personality Linus Sebastian suffered a hack of three different YouTube channels associated with his company, Linus Media Group. The hackers hijacked the channels to spread cryptocurrency scams, while deleting some of the group’s old videos in the process. The attack was largely reminiscent of a 2022 YouTube account hack that repurposed a 2018 interview with Apple CEO Tim Cook to fool viewers into following a separate cryptocurrency scam.

Both incidents reveal the real threat to small businesses everywhere.

Social media account hacks are not only a risk to content creators—they’re a risk to any business with a legitimate online audience. Once scammers have control of any business’s social media account, they can send fraudulent messages to people on the business’s behalf and promote online scams that could tarnish the business’s reputation for years to come. Hackers could even swipe sensitive information before access is restored.

While social media hacks are often the byproduct of successful phishing attacks, cybercriminals can also gain wrongful access to a social media account through separate data breaches.

Hackers frequently buy usernames and passwords on the dark web from prior data breaches. They then use those login credentials on a variety of online accounts that belong to the same owner—entering the username and password for, say, a breached LinkedIn account into the username and password fields for QuickBooks, Shopify, and Hubspot. When people and businesses reuse passwords across accounts, hackers find an easy way in.

**How to protect your business:**

*   Use unique, strong passwords for each account and store and create these passwords using a password manager
*   Enable “multifactor authentication” on all important business accounts so that hackers who steal passwords cannot access accounts with only usernames and passwords
*   Avoid phishing attacks by refusing to click on links from unknown senders
*   Do not download any attachments from unknown senders or from unexpected emails. These attachments could contain malware that steals passwords, data, and multifactor authentication codes.

**3\. Ransomware**

Ransomware is more than a cyberthreat—it is an existential one, threatening to lock down computer systems, remove vital data, and waste potentially hundreds of thousands of dollars in recovery.

But because most ransomware news coverage focuses on major, multibillion dollar corporations that get hit with disruptive attacks, many boutique businesses might assume that ransomware gangs would never bother with a small outfit like theirs.

In reality, ransomware gangs do not care about the size, budget, or resources of their victims, because ransomware itself has become increasingly easy to scale and deploy.

Modern gangs operate on a “Ransomware-as-a-Service” model, where ransomware developers lease out their malicious software to “affiliates” who, if successful in launching an attack, return a small portion of their ill-gotten gains back to the ransomware developers at the top. LockBit, which was once the most active ransomware gang in history, had at least 194 affiliates doing its dirty work.

While LockBit most frequently attacked large conglomerates and governments, another Ransomware-as-a-Service group called Phobos was more than happy to prey on smaller organizations.

In 2024, when the US Department of Justice charged a Russian national named Evgenii Ptitsyn for his alleged involvement into running Phobos, its indictment revealed that one of the ransomware gang’s affiliates allegedly extorted a Maryland-based healthcare provider out of just $2,300. Other victims cited in the indictment included a marketing and data analytics firm in Arizona, a Connecticut public school system, and an automotive company out of Ohio.

According to data analyzed by Malwarebytes’ business unit ThreatDown, these smaller victims were the bread and butter of Phobos. Unlike other ransomware gangs that demanded up to $1 million or more from each victim in 2023, Phobos operators demanded an average of $1,719 from victims, with a median demand of just $300.

**How to protect your business:**

*   **Block common forms of entry.** Patch known vulnerabilities in internet-facing software and disable or harden the login credentials for remote work tools like RDP ports and VPNs.
*   **Prevent intrusions and stop malicious encryption.** Stop threats early before they can infiltrate or infect your endpoints. Use always-on cybersecurity software that can prevent exploits and malware used to deliver ransomware.
*   **Create offsite, offline backups.** Keep backups offsite and offline, beyond the reach of attackers. Test them regularly to make sure you can restore essential business functions swiftly.
*   **Don’t get attacked twice.** Once you’ve isolated an outbreak and stopped a first attack, you must remove every trace of the attackers, their malware, their tools, and their methods of entry, to avoid being attacked again.

 The 3 biggest cybersecurity threats to small businesses 

A new study found that code generated by AI is more likely to contain made-up information that can be used to trick software into interacting with malicious code.

AI-generated computer code is rife with references to nonexistent third-party libraries, creating a golden opportunity for supply-chain attacks that poison legitimate programs with malicious packages that can steal data, plant backdoors, and carry out other nefarious actions, newly published research shows.

The study, which used 16 of the most widely used large language models to generate 576,000 code samples, found that 440,000 of the package dependencies they contained were “hallucinated,” meaning they were nonexistent. Open source models hallucinated the most, with 21 percent of the dependencies linking to nonexistent libraries. A dependency is an essential code component that a separate piece of code requires to work properly. Dependencies save developers the hassle of rewriting code and are an essential part of the modern software supply chain.

****Package Hallucination Flashbacks****

These nonexistent dependencies represent a threat to the software supply chain by exacerbating so-called dependency confusion attacks. These attacks work by causing a software package to access the wrong component dependency, for instance by publishing a malicious package and giving it the same name as the legitimate one but with a later version stamp. Software that depends on the package will, in some cases, choose the malicious version rather than the legitimate one because the former appears to be more recent.

Also known as package confusion, this form of attack was first demonstrated in 2021 in a proof-of-concept exploit that executed counterfeit code on networks belonging to some of the biggest companies on the planet, Apple, Microsoft, and Tesla included. It's one type of technique used in software supply-chain attacks, which aim to poison software at its very source in an attempt to infect all users downstream.

“Once the attacker publishes a package under the hallucinated name, containing some malicious code, they rely on the model suggesting that name to unsuspecting users,” Joseph Spracklen, a University of Texas at San Antonio PhD student and lead researcher, told Ars via email. “If a user trusts the LLM's output and installs the package without carefully verifying it, the attacker’s payload, hidden in the malicious package, would be executed on the user's system.”

In AI, hallucinations occur when an LLM produces outputs that are factually incorrect, nonsensical, or completely unrelated to the task it was assigned. Hallucinations have long dogged LLMs because they degrade their usefulness and trustworthiness and have proven vexingly difficult to predict and remedy. In a paper scheduled to be presented at the 2025 USENIX Security Symposium, they have dubbed the phenomenon “package hallucination.”

For the study, the researchers ran 30 tests, 16 in the Python programming language and 14 in JavaScript, that generated 19,200 code samples per test, for a total of 576,000 code samples. Of the 2.23 million package references contained in those samples, 440,445, or 19.7 percent, pointed to packages that didn’t exist. Among these 440,445 package hallucinations, 205,474 had unique package names.

One of the things that makes package hallucinations potentially useful in supply-chain attacks is that 43 percent of package hallucinations were repeated over 10 queries. “In addition,” the researchers wrote, “58 percent of the time, a hallucinated package is repeated more than once in 10 iterations, which shows that the majority of hallucinations are not simply random errors but a repeatable phenomenon that persists across multiple iterations. This is significant, because a persistent hallucination is more valuable for malicious actors looking to exploit this vulnerability and makes the hallucination attack vector a more viable threat.”

In other words, many package hallucinations aren’t random, one-off errors. Rather, specific names of nonexistent packages are repeated over and over. Attackers could seize on the pattern by identifying nonexistent packages that are repeatedly hallucinated. The attackers would then publish malware using those names and wait for them to be accessed by large numbers of developers.

The study uncovered disparities in the LLMs and programming languages that produced the most package hallucinations. The average percentage of package hallucinations produced by open source LLMs such as CodeLlama and DeepSeek was nearly 22 percent, compared with a little more than 5 percent by commercial models. Code written in Python resulted in fewer hallucinations than JavaScript code, with an average of almost 16 percent compared with a little over 21 percent for JavaScript. Asked what caused the differences, Spracklen wrote:

_“This is a difficult question because large language models are extraordinarily complex systems, making it hard to directly trace causality. That said, we observed a significant disparity between commercial models (such as the ChatGPT series) and open-source models, which is almost certainly attributable to the much larger parameter counts of the commercial variants. Most estimates suggest that ChatGPT models have at least 10 times more parameters than the open-source models we tested, though the exact architecture and training details remain proprietary. Interestingly, among open-source models, we did not find a clear link between model size and hallucination rate, likely because they all operate within a relatively smaller parameter range._

_“Beyond model size, differences in training data, fine-tuning, instruction training, and safety tuning all likely play a role in package hallucination rate. These processes are intended to improve model usability and reduce certain types of errors, but they may have unforeseen downstream effects on phenomena like package hallucination._

_“Similarly, the higher hallucination rate for JavaScript packages compared to Python is also difficult to attribute definitively. We speculate that it stems from the fact that JavaScript has roughly 10 times more packages in its ecosystem than Python, combined with a more complicated namespace. With a much larger and more complex package landscape, it becomes harder for models to accurately recall specific package names, leading to greater uncertainty in their internal predictions and, ultimately, a higher rate of hallucinated packages.”_

The findings are the latest to demonstrate the inherent untrustworthiness of LLM output. With Microsoft CTO Kevin Scott predicting that 95 percent of code will be AI-generated within five years, here’s hoping developers heed the message.

_This story originally appeared on_ _Ars Technica._

AI Code Hallucinations Increase the Risk of ‘Package Confusion’ Attacks

WhatsApp's AI tools will use a new “Private Processing” system designed to allow cloud access without letting Meta or anyone else see end-to-end encrypted chats. But experts still see risks.

The end-to-end encrypted communication app WhatsApp, used by roughly 3 billion people around the world, will roll out cloud-based AI capabilities in the coming weeks that are designed to preserve WhatsApp’s defining security and privacy guarantees while offering users access to message summarization and composition tools.

Meta has been incorporating generative AI features across its services that are built on its open source large language model, Llama. And WhatsApp already incorporates a light blue circle that gives users access to the Meta AI assistant. But many users have balked at this addition, given that interactions with the AI assistant aren’t shielded from Meta the way end-to-end encrypted WhatsApp chats are. The new feature, dubbed Private Processing, is meant to address these concerns with what the company says is a carefully architected and purpose-built platform devoted to processing data for AI tasks without the information being accessible to Meta, WhatsApp, or any other party. While initial reviews by researchers of the scheme’s integrity have been positive, some note that the move toward AI features could ultimately put WhatsApp on a slippery slope.

“WhatsApp is targeted and looked at by lots of different researchers and threat actors. That means internally it has a well understood threat model,” says Meta security engineering director Chris Rohlf. “There's also an existing set of privacy expectations from users, so this wasn’t just about managing the expansion of that threat model and making sure the expectations for privacy and security were met—it was about careful consideration of the user experience and making this opt-in.”

End-to-end encrypted communications are only accessible to the sender and receiver, or the people in a group chat. The service provider, in this case WhatsApp and its parent company Meta, is boxed out by design and can’t access users’ messages or calls. This setup is incompatible with typical generative AI platforms that run large language models on cloud servers and need access to users’ requests and data for processing. The goal of Private Processing is to create an alternate framework through which the privacy and security guarantees of end-to-end encrypted communication can be upheld while incorporating AI.

Users opt into using WhatsApp’s AI features, and they can also prevent people they’re chatting with from using the AI features in shared communications by turning on a new WhatsApp control known as “Advanced Chat Privacy.”

“When the setting is on, you can block others from exporting chats, auto-downloading media to their phone, and using messages for AI features,” WhatsApp wrote in a blog post last week. Like disappearing messages, anyone in a chat can turn Advanced Chat Privacy on and off—which is recorded for all to see—so participants just need to be mindful of any adjustments.

Private Processing is built with special hardware that isolates sensitive data in a “Trusted Execution Environment,” a siloed, locked-down region of a processor. The system is built to process and retain data for the minimum amount of time possible and is designed grind to a halt and send alerts if it detects any tampering or adjustments. WhatsApp is already inviting third-party audits of different components of the system and will make it part of the Meta bug bounty program to encourage the security community to submit information about flaws and potential vulnerabilities. Meta also says that, ultimately, it plans to make the components of Private Processing open source, both for expanded verification of its security and privacy guarantees and to make it easier for others to build similar services.

Last year, Apple debuted a similar scheme, known as Private Cloud Compute, for its Apple Intelligence AI platform. And users can turn the service on in Apple’s end-to-end encrypted communication app, Messages, to generate message summaries and compose “Smart Reply” messages on both iPhones and Macs.

Looking at Private Cloud Compute and Private Processing side by side is like comparing, well, Apple(s) and oranges, though. Apple’s Private Cloud Compute underpins all of Apple Intelligence everywhere it can be applied. Private Processing, on the other hand, was purpose-built for WhatsApp and doesn’t underpin Meta’s AI features more broadly. Apple Intelligence is also designed to do as much AI processing as possible on-device and only send requests to the Private Cloud Compute infrastructure when necessary. Since such “on device” or “local” processing requires powerful hardware, Apple only designed Apple Intelligence to run at all on its recent generations of mobile hardware. Old iPhones and iPads will never support Apple Intelligence.

Apple is a manufacturer of high-end smartphones and other hardware, while Meta is a software company, and has about 3 billion users who have all types of smartphones, including old and low-end devices. Rohlf and Colin Clemmons, one of the Private Processing lead engineers, say that it wasn’t feasible to design AI features for WhatsApp that could run locally on the spectrum of devices WhatsApp serves. Instead, WhatsApp focused on designing Private Processing to be as unhelpful as possible to attackers if it were to be breached.

“The design is one of risk minimization,” Clemmons says. “We want to minimize the value of compromising the system.”

The whole effort raises a more basic question, though, about why a secure communication platform like WhatsApp needs to offer AI features at all. Meta is adamant, though, that users expect the features at this point and will go wherever they have to to get them.

“Many people want to use AI tools to help them when they are messaging,” WhatsApp head Will Cathcart told WIRED in an email. “We think building a private way to do that is important, because people shouldn’t have to switch to a less-private platform to have the functionality they need.”

“Any end-to-end encrypted system that uses off-device AI inference is going to be riskier than a pure end to end system. You’re sending data to a computer in a data center, and that machine sees your private texts,” says Matt Green, a Johns Hopkins cryptographer who previewed some of the privacy guarantees of Private Processing, but hasn’t audited the complete system. “I believe WhatsApp when they say that they’ve designed this to be as secure as possible, and I believe them when they say that they can’t read your texts. But I also think there are risks here. More private data will go off device, and the machines that process this data will be a target for hackers and nation state adversaries.”

WhatsApp says, too, that beyond basic AI features like text summarization and writing suggestions, Private Processing will hopefully create a foundation for expanding into more complicated and involved AI features in the future that involve processing, and potentially storing, more data.

As Green puts it, “Given all the crazy things people use secure messengers for, any and all of this will make the Private Processing computers into a very big target.”

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