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iOS 26.5 Introduces Private RCS Messaging and Core Feature Improvements

  By introducing end-to-end encrypted RCS messaging between iPhone and Android devices for the first time, Apple has taken another step towa...

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Microsoft Warns Passwords and SMS-Based 2FA Are No Longer Enough Against Modern Cyberattacks






Microsoft is intensifying its push toward passwordless security, warning that traditional passwords and older forms of two-factor authentication are becoming increasingly ineffective against modern phishing attacks powered by artificial intelligence.

In a statement released during World Passkey Day, Microsoft said the cybersecurity industry must reduce dependence on passwords and other “phishable” login methods by accelerating the adoption of passkeys. 

For years, technology companies encouraged users to strengthen account security by enabling two-factor authentication (2FA) or multi-factor authentication (MFA). Microsoft itself previously stated that MFA could block more than 99% of password-based attacks. However, cybercriminals have steadily adapted their tactics, particularly targeting SMS-based authentication systems through phishing pages, SIM-swapping schemes, session hijacking, and social engineering attacks.

The company now argues that passwords, even when paired with weak MFA methods like text-message verification codes, continue to leave accounts vulnerable. Microsoft described these older protections as “legacy” authentication methods that can still become entry points for attackers. 

Instead, Microsoft is promoting passkeys, which rely on cryptographic authentication rather than memorized passwords. A passkey stores a private digital key directly on a user’s device and only works on the legitimate website or application where it was created. Access is then confirmed through biometric verification, such as fingerprints or facial recognition, or through a device PIN. 

Security experts say this approach makes phishing significantly harder because passkeys cannot be reused on fake websites designed to imitate legitimate login pages. Unlike passwords or SMS codes, the authentication process is tied directly to the original domain. 

Microsoft also stressed that enabling passkeys alone is not enough if passwords and fallback authentication methods remain active on accounts. According to the company, weak backup options can still be exploited even after stronger protections are introduced. Microsoft has therefore continued removing older authentication systems across its ecosystem, including plans to eliminate security questions from password reset flows beginning in 2027. 

The urgency surrounding this transition has increased alongside the rapid growth of AI-generated phishing campaigns. Microsoft cited internal findings showing that AI-assisted phishing operations can achieve click-through rates as high as 54%, meaning more than half of targeted users may interact with malicious messages. 

Industry-wide adoption of passkeys is also accelerating. The FIDO Alliance estimates that more than five billion passkeys are already in use globally. Microsoft said hundreds of millions of users now sign into services such as OneDrive, Xbox, and Copilot using passkeys every day. 

Internally, Microsoft claims that over 99% of users within its environment now have access to phishing-resistant authentication methods. The company added that account recovery systems remain a critical security challenge because attackers increasingly target recovery processes instead of direct logins. 

Researchers and government agencies are broadly supporting the move toward passwordless security. The United Kingdom’s National Cyber Security Centre recently encouraged organizations and consumers to adopt passkeys, citing growing risks from AI-driven phishing and phishing-as-a-service platforms. 

Still, cybersecurity researchers caution that passkeys are not completely immune to attack. Recent academic research examining FIDO2 authentication methods found that while passkeys substantially raise the difficulty for attackers, sophisticated compromise techniques involving infected devices, session theft, or manipulated browser environments may still pose risks under certain conditions. 

Microsoft maintains that removing passwords and other phishable credentials remains essential as AI systems increasingly act on behalf of users across enterprise environments. If a single digital identity is compromised, attackers could potentially exploit connected AI agents to access systems, trigger workflows, and operate with existing permissions at machine speed. 

JDownloader Website Breach Spreads Malware Through Fake Windows and Linux Installers

 

In early May 2026, the official website for JDownloader was compromised, causing users to unknowingly download infected installers instead of legitimate software. During the two-day breach window, attackers replaced Windows and Linux setup files with malicious versions carrying hidden malware. Researchers later discovered that the Windows payload deployed a stealthy Python-based remote access trojan capable of giving attackers control over infected systems. 

Because the files appeared authentic and came directly from a trusted source, many users installed them without suspicion. JDownloader remains one of the most widely used download automation tools, supporting downloads from hosting services, streaming sites, and premium file-sharing platforms across Windows, Linux, and macOS. Its long-standing reputation and large user base made the attack especially dangerous, as users naturally trusted downloads from the official website. 

The issue first gained attention after a Reddit user reported Microsoft Defender warnings while downloading updated installers from the JDownloader website. The files showed suspicious digital signatures linked to unknown names like “Zipline LLC” and “The Water Team” instead of AppWork GmbH, the legitimate developer. Community concern quickly spread online, prompting the development team to investigate. 

Soon after, JDownloader confirmed that attackers had exploited an unpatched flaw in the site’s content management system to modify download links and redirect users toward malicious third-party installers. Developers stated that the compromise was limited to public-facing web content and did not extend to deeper server infrastructure or operating system-level access. The team later clarified that only the Windows “Alternative Installer” downloads and Linux shell installer links were affected. 

Other distribution channels, including macOS packages, Flatpak, Winget, Snap releases, in-app updates, and the main JAR package, remained secure throughout the incident. Developers urged users to verify installer authenticity by checking digital signatures within file properties. Legitimate files should display a verified signature from AppWork GmbH, while unsigned installers or files signed by unfamiliar publishers should be avoided immediately. 

Cybersecurity researcher Thomas Klemenc later analyzed the malicious Windows files and found they acted as loaders for a heavily obfuscated Python-based remote access tool. According to his findings, the malware could execute remote commands through command-and-control servers, silently turning infected devices into attacker-controlled systems. Analysis of the Linux shell installer also uncovered injected malicious code designed to download disguised payloads from suspicious domains. 

Once executed, the malware installed hidden binaries, created persistence mechanisms, elevated privileges using root-level configurations, and disguised itself as legitimate Linux system processes to avoid detection. Experts noted that parts of the Linux malware remain difficult to fully understand because the payload was heavily protected using obfuscation tools like Pyarmor, limiting deeper analysis. 

Although JDownloader stressed that only users who downloaded and executed installers during the breach window were at risk, security professionals strongly recommend reinstalling operating systems on infected machines. Since arbitrary code execution was possible, experts also advise resetting all passwords after cleaning affected devices due to potential credential theft. 

The attack reflects a growing cybersecurity trend in which hackers target trusted software platforms to distribute malware through compromised downloads. Similar incidents recently affected CPU-Z, HWMonitor, and DAEMON Tools, where attackers replaced legitimate installers with infected versions carrying hidden malware.  

As supply chain attacks continue increasing, cybersecurity experts stress the importance of checking digital signatures carefully and avoiding suspicious downloads, even on trusted software platforms.

Anthropic’s Project Glasswing Detects Over 10,000 Critical Software Vulnerabilities Worldwide

 

iArtificial intelligence company Anthropic has revealed that its cybersecurity initiative, Project Glasswing, has successfully identified more than 10,000 high- and critical-severity vulnerabilities across globally significant software systems since the program was introduced last month.

The initiative was designed as a defensive cybersecurity program aimed at strengthening critical software infrastructure worldwide. Through Project Glasswing, around 50 trusted partners receive early access to Claude Mythos Preview — an advanced AI model capable of autonomously discovering vulnerabilities in widely used software before malicious actors can exploit them.

According to Anthropic, 6,202 of the detected vulnerabilities were categorized as high or critical severity and affected over 1,000 open-source projects. Further review confirmed 1,726 of these findings as legitimate true positives, while 1,094 vulnerabilities were assessed as either high or critical in severity.

Among the major discoveries was a critical security flaw in WolfSSL identified as CVE-2026-5194, carrying a CVSS score of 9.1. The vulnerability could potentially allow attackers to forge certificates and impersonate legitimate services. Anthropic noted that the initiative has already contributed to 97 vulnerabilities being patched upstream along with the release of 88 security advisories.

"The relative ease of finding vulnerabilities compared with the difficulty of fixing them amounts to a major challenge for cybersecurity," Anthropic acknowledged. "Confronting this challenge successfully will make our software far safer than before."

The announcement comes amid a broader rise in AI-assisted vulnerability discovery, with software vendors releasing patches at an unprecedented pace. Microsoft recently indicated that the number of monthly security patches is expected to continue increasing over time.

Cybersecurity firm XBOW described Mythos Preview as "a major advance" that is "substantially better than prior models at finding vulnerability candidates" and "adept at analyzing source code with a security mindset." Researchers have also observed the model’s effectiveness in converting vulnerabilities into complete end-to-end attack chains.

Anthropic highlighted that the capabilities of Mythos Preview extend beyond vulnerability detection. In one reported incident, a banking partner participating in Glasswing used the AI model to identify and block a fraudulent wire transfer worth $1.5 million after a threat actor compromised a customer’s email account and attempted spoofed phone calls.

The company warned that AI models with capabilities similar to Mythos could become widely accessible in the near future, prompting a need for organizations to accelerate their patch management processes. Oracle has already transitioned to a monthly patch cycle to respond more quickly to critical security vulnerabilities.

"Network defenders should shorten their patch testing and deployment timelines," Anthropic said. "These include steps like hardening networks' default configurations, enforcing multi-factor authentication, and keeping comprehensive logs for detection and response."

Anthropic also announced the launch of its Cyber Verification Program, which allows verified security researchers to use its AI models without standard guardrails for legitimate cybersecurity activities such as penetration testing, vulnerability research, and red teaming. The move mirrors OpenAI’s Daybreak initiative, which enables defenders to work with GPT-5.5-Cyber for specialized security workflows.

Despite their advanced capabilities, models such as Mythos Preview and GPT-5.5-Cyber have not yet been publicly released due to concerns surrounding potential misuse and the absence of sufficient safeguards against large-scale abuse.

"Glasswing helps the most systemically important cyber defenders gain an asymmetric advantage," it pointed out. "However, there is an urgent need for as many organizations as possible to shore up their cyber defenses. We hope that our generally available models, and the new tools, resources, and research we're providing to accompany them, will support those organizations to improve their cybersecurity posture."

Hackers Abuse Google Ads and Claude.ai Chats to Spread Mac Malware

 

Cybercriminals are once again abusing trust, and this time they are combining Google Ads with Claude.ai shared chats to push malware onto Mac users. The campaign targets people searching for terms like “Claude mac download,” where sponsored results appear to point to the legitimate claude.ai domain but actually lead to malicious installation instructions. Security researcher Berk Albayrak first identified the scheme, and confirmed that attackers are using the tactic in active campaigns. 

The attack works because it looks believable at first glance. Users click a sponsored search result, land on a public Claude chat, and see what appears to be an official “Claude Code on Mac” guide, sometimes even attributed to Apple Support. That page then tells them to open Terminal and paste a command. Instead of installing useful software, the command quietly downloads and runs malware on the victim’s Mac.

What makes the operation especially dangerous is the way it blends legitimate services with deception. The ad itself can show the real claude.ai domain, which helps the link look safe, while the malicious instructions are hidden inside Claude’s shared chat feature. In some variants, the payload is linked to MacSync-style infostealer behavior, aimed at harvesting browser credentials, cookies, and Keychain data. Researchers also reported that multiple malicious chats were being used, showing that the operators are testing and rotating infrastructure. 

The campaign is a strong reminder that search results and AI platforms are not automatically trustworthy just because they appear familiar. Attackers increasingly rely on “clickfix” tactics, where the victim is convinced to copy and run a command manually, bypassing many traditional download warnings. That user action becomes the infection point, making the social engineering as important as the malware itself.

Mac users should avoid sponsored search results when looking for software downloads and instead go directly to the official site by typing the address themselves. Any chat, guide, or support page that instructs users to paste Terminal commands should be treated with caution, especially if it claims to come from Apple or a well-known AI service. The broader lesson is simple: when an instruction asks you to run code on your own computer, pause and verify before acting.

Threat Campaign Targets School Login Systems After Alleged Instructure Hack


 

The initial appearance of a routine service disruption within one of the most widely used academic learning platforms in the world quickly evolved into a significant cybersecurity issue as threat actors associated with the ShinyHunters group allegedly compromised Instructure's Canvas system. 

A large number of educational institutions experienced widespread operational instability as a result of the incident, which exposed sensitive academic and identity-related records, disrupted coursework timelines, and resulted in the defacement of several school authentication portals. 

A growing concern over the potential release of a data set reportedly affecting thousands of institutions as well as hundreds of millions of students and employees led Instructure to reveal that it had reached an agreement with the unauthorised actor responsible for the intrusion language that cybersecurity analysts interpreted as an indication of ransom negotiations. ShinyHunters collective claims to have successfully compromised Instructure's infrastructure for the second time in just a few weeks, further escalating the issue. 

The breach resulted in school authentication portals were made public and were affected in addition to backend systems. The incidents took place during final examination periods across several institutions using Canvas, causing even more disruption for administrators, educators, and students experiencing intermittent outages as a result of the earlier intrusion disclosed on April 30.

The Instructure platform had acknowledged that "criminal threat actors" were responsible for unauthorized access to parts of its environment, but subsequent activity indicates the attackers were still able to manipulate externally accessible services. 

When threat actors were reportedly injected malicious HTML components into Canvas login pages, unauthorized message prompts were found attributed to ShinyHunters, effectively defacing the authentication screens utilized for coursework management, assignment submissions, and academic communication, multiple Canvas login pages were later found displaying unauthorized messages attributed to ShinyHunters.

According to the message posted by the group, the allegedly stolen data will be made public on May 12 unless the company enters into a "settlement" negotiations. Parts of Instructure's online infrastructure appeared unstable during the escalation process, with some services intermittently returning "too many requests" errors while Canvas displayed maintenance notices indicating ongoing remediation and containment efforts throughout the company's network infrastructure. 

According to further disclosures, the breach affected a wide spectrum of academic stakeholders, including students, faculty, and institutional staff, with portions of information reportedly relating to minors. Despite Instructure's claims that passwords and highly sensitive authentication credentials were not compromised, the attackers are said to have obtained substantial amounts of information regarding personal identification and platform usage, such as usernames, e-mail addresses, student identification numbers, and private communications exchanged within the learning management system. 

According to the company, the initial compromise was terminated, remediation measures were implemented across the affected systems, and Canvas services were restored after containment procedures were initiated to prevent additional intrusions. However, ShinyHunters later stated it had successfully breached the platform again, this time targeting institution-specific authentication portals, thereby putting the company under pressure to enter into a settlement negotiation related to the earlier data theft, despite these efforts. 

As part of the extortion attempt, the group used stolen data as a means of coercion following network intrusions, which is a well-established operational pattern, however, the apparent recurrence of unauthorized access raised concerns regarding residual vulnerability issues within Instructure's network infrastructure. Canvas was brought offline once again following the second disruption, prompted the company to remove the component identified as being at the root of the incident  the Free-for-Teacher environment. 

Instructure acknowledged in an updated incident disclosure that investigators had identified a vulnerability associated with support ticket functionality within the Free-for-Teacher system, which threat actors allegedly exploited to facilitate the latest security breach. By putting the incident on its leak portal, ShinyHunters had earlier accepted public responsibility for the initial intrusion. 

The tactic is commonly used by ransomware and extortion-focused groups to increase pressure on targets by threatening data release under controlled circumstances. In the wake of the recent compromise, the attackers have attempted to reach out directly to media outlets regarding the defaced Canvas login pages, suggesting they are attempting to escalate the attack not only against Instructure but also against the thousands of educational institutions that rely on the platform for their operations. During ongoing negotiations regarding the previously stolen data, cybersecurity analysts viewed the public defacement as an attempt to amplify reputational and operational pressures. 

In spite of the fact that there is no clear indication of how the school-specific authentication pages were compromised, ShinyHunters officials have indicated the breach has been a separate one from the original attack, but declined to provide any further technical information regarding the method used to gain access to the system. 

The group claims to have stolen data from nearly 9,000 educational institutions around the world; these records are believed to belong to approximately 231 million people. Following the earlier compromise, the group claimed to have exfiltrated information related to nearly 9,000 educational institutions. 

A key component of the campaign was a mirroring of the threat group's established operating model, which is typically composed of a combination of network intrusion, public exposure of victims through leak sites, and sustained extortion efforts to maximize financial leverage following the theft of large amounts of data. There has been an increased focus on security architecture of cloud-based education platforms in the wake of the incident, which has become a critical infrastructure for academic operations worldwide.

In addition to disrupting coursework and institutional systems for the immediate period, the exposure of student communications and identity-linked records, particularly involving minors, demonstrates the long-term risks associated with large-scale compromises of digitally centralized learning environments. 

During the remediation and forensic investigation efforts, Instructure is likely to establish the breach as a landmark in the field of ransomware and extortion, which increasingly target educational technology ecosystems where operational urgency and reputational pressure can lead to high-stakes cybersecurity incidents.

AI Coding Tools Expose Thousands of Apps With Sensitive Corporate Data Online

 

Thousands of web applications built using AI coding tools have been found publicly accessible online without proper security protections. Researchers at RedAccess identified more than 5,000 exposed apps tied to companies, many revealing private information to anyone with the correct URL. Employee records, customer conversations, system plans, and financial files were among the exposed materials. The problem wasn’t faulty code but missing security setup steps that many users overlooked. 

In many cases, public access remained enabled long after deployment, creating silent data leaks that went unnoticed for months. Many of the vulnerable apps were created using platforms like Replit, Netlify, Base44 owned by Wix, and Lovable. Nearly 2,000 apps appeared to contain genuine sensitive information, including advertising spending reports, company strategy documents, chatbot logs, customer contact details, hospital personnel records, and financial summaries. 

According to RedAccess researcher Dor Zvi, the issue is linked to the rise of “vibe coding,” where non-technical employees use AI tools to rapidly build and publish web applications. Since these platforms make development extremely simple, apps can go live within minutes without any review from engineering or cybersecurity teams. Researchers found the exposed apps through basic Google and Bing searches because many AI coding services host projects publicly on shared domains by default. 

Some applications exposed private information without requiring logins, while others reportedly allowed outsiders to gain administrative control over backend systems. The exposed data covered multiple industries. Hospital staff schedules listing doctors’ identities appeared alongside marketing strategy presentations, shipping records, retailer chatbot conversations, and detailed advertising campaign budgets. Such leaks could expose sensitive competitive information, including business planning timelines and financial allocations. 

The investigation also uncovered phishing websites hosted directly on AI coding platform domains. These fake pages impersonated major companies including Bank of America, Costco, FedEx, Trader Joe’s, and McDonald’s. The platforms disputed parts of the findings while acknowledging that publicly accessible apps existed. Amjad Masad said users choose whether apps remain public or private. Lovable emphasized that creators are responsible for configuring security correctly, while Wix stated weakening protections requires deliberate user actions. 

Security experts argue the broader issue remains serious because AI coding tools rarely enforce strong safeguards automatically. Many employees using them lack training in authentication systems or permission controls, allowing insecure deployments to slip through unnoticed. Researchers say the situation resembles earlier waves of exposed Amazon S3 cloud storage buckets, where confusing defaults and user mistakes left sensitive files publicly accessible. 

AI-powered coding platforms may now be accelerating similar risks on a larger scale as businesses increasingly rely on AI tools for internal dashboards, marketing systems, client portals, and reporting applications. Experts also warn the true scale may be far larger. The 5,000 discovered apps only included projects hosted directly on AI platform domains. Thousands more could exist on privately owned domains that standard searches cannot easily detect. 

As AI-generated development grows rapidly, companies are now under pressure to strengthen oversight, improve employee training, and introduce stricter security reviews. Without stronger safeguards, fast AI-assisted app creation could continue exposing confidential corporate and personal information online.

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