Mythos Report Released: Billions of Devices Worldwide Exposed, 10,000 Critical Vulnerabilities Uncovered in 30 Days

marsbitPublicado a 2026-05-25Actualizado a 2026-05-25

Resumen

The first report from Anthropic's "Project Glasswing" reveals staggering results from its secret initiative using the next-generation AI model, Claude Mythos Preview. In just 30 days, collaborating with roughly 50 global tech giants and critical infrastructure developers, Mythos identified over 10,000 high or critical-severity software vulnerabilities. It demonstrated an extremely low false-positive rate, even outperforming human experts, and successfully intercepted a $1.5 million bank fraud in progress. Key findings include uncovering 2,000 bugs in Cloudflare's core systems, fixing 271 critical vulnerabilities in Firefox 150 (ten times more than previous methods), and discovering a 27-year-old hidden bug in OpenBSD's codebase. The AI even autonomously constructed full attack chains for some exploits. Mythos also scanned over 1,000 essential open-source projects, identifying 23,019 total vulnerabilities, with 6,202 rated high/critical by the AI. Independent verification confirmed a 90.6% true-positive rate, validating 1,094 severe vulnerabilities. A critical case involved wolfSSL, a cryptography library used by billions of devices, where Mythos found a flaw allowing perfect digital certificate forgery. This unprecedented discovery speed has created a new crisis: human developers are overwhelmed and cannot patch vulnerabilities fast enough. In response, Anthropic is rolling out defensive tools like "Claude Security" to auto-generate patches and releasing frameworks to help ...

A's Project Glasswing Achieves Initial Success: Mythos Uncovers 10,000 Critical Vulnerabilities in 30 Days, Even Intercepts $1.5M in Wire Fraud! Facing a Blizzard of Reports, Human Programmers Plead for Mercy: "Stop Finding Them! We Can't Possibly Fix Them All!"

Just now, Anthropic released another piece of news that has shocked the global tech and security circles.

The first-month battle report for "Project Glasswing" has been officially announced!

In this secret operation, Anthropic deployed its next-generation top-tier large language model—Claude Mythos Preview—for the first time.

In just 30 days, partnering with about 50 global internet giants and critical infrastructure software developers, it unearthed over 10,000 high-risk or critical-level software vulnerabilities in one go!

Even more terrifying, it can not only find vulnerabilities but also automatically construct "end-to-end" attack chains.

In a real business scenario at a partner bank, it even successfully intercepted a $1.5 million wire fraud attempt!

Instantly, the entire security community was thoroughly shaken.

Some security experts even exclaimed in despair on X: "The foundation of the internet has been turned upside down by AI... We might really be done for!"

The Crazy 30 Days

Global Tech Giants Experience Firsthand: How Terrifying is Mythos?

In April 2026, Anthropic secretly launched Project Glasswing. The name symbolizes the hope of making the world's most important closed-source and open-source software transparent and secure.

The first batch to join the plan comprised about 50 critical infrastructure software developers.

After they gained testing access to Claude Mythos Preview, within just one month, the entire industry's worldview was shattered.

Let's look at this dazzling battle report—

Cloudflare reported that in their extremely critical core-path systems, Mythos dug up 2000 vulnerabilities in one go! Among them, 400 were high-risk or critical-level.

Even more outrageous, Cloudflare's security team exclaimed: This AI's false-positive rate is even lower than that of top-tier human security testers.

In the testing of Mozilla's latest Firefox 150 browser, Mythos fixed 271 high-risk vulnerabilities in one go.

This number is over 10 times the vulnerabilities previously found using Opus 4.6 in Firefox version 148!

OpenBSD's reported results are downright spine-chilling: Mythos unearthed a bug hidden in the OpenBSD codebase for a full 27 years!

Moreover, the model didn't even need human intervention; it constructed a complete vulnerability exploitation chain itself.

The UK AI Safety Institute offered official endorsement. They confirmed that Mythos Preview is the world's first AI model capable of end-to-end, fully compromising the double-network test environment they set up.

In practical defense, Mythos also demonstrated its prowess.

At a partner bank, a hacker group had successfully infiltrated a client's email and used AI voice-cloning technology to make a fraudulent call.

At the critical moment when the $1.5 million wire transfer was about to be sent, the Mythos model, through real-time analysis of the abnormal behavior chain, instantly saw through the scam and forcibly blocked the transaction!

"We human security experts look like primitives holding spears, watching an F-22 fighter jet fly overhead," a security researcher participating in the internal testing lamented on X.

Billions of Exposed Devices Worldwide Saved by Mythos!

However, Mythos also triggered a productivity crisis.

In the past, the core bottleneck in cybersecurity was discovering vulnerabilities. Finding a high-risk zero-day vulnerability could take top white-hat hackers weeks or even months.

Now, Claude Mythos has driven the cost and time of finding vulnerabilities to "infinitely close to zero."

Anthropic used it to scan over 1,000 core open-source projects underpinning the global internet. The results are hair-raising—

A total of 23,019 vulnerabilities were discovered, including 6,202 high-risk or critical vulnerabilities assessed by Mythos!

To ensure it wasn't the AI "rambling," Anthropic collaborated with six globally renowned independent security research firms for manual cross-verification.

The result proved: The AI's true positive rate (i.e., the vulnerability actually exists) was as high as 90.6%! Ultimately, 1,094 were confirmed as undeniable high-risk or critical vulnerabilities.

Open-source vulnerability dashboard, showing vulnerabilities of all severity levels

Here, an extremely typical case must be mentioned—wolfSSL.

wolfSSL is a famously prominent open-source cryptography library, used by billions of devices worldwide (including IoT devices, routers, smart cars, etc.).

However, before Mythos, wolfSSL's defenses were like paper. Mythos not only discovered an extremely hidden logic vulnerability but even wrote a set of attack code itself!

Using this code, hackers could arbitrarily forge digital certificates, creating incredibly realistic bank websites or email login pages with no flaws.

If this vulnerability hadn't been discovered and reported for repair by Mythos in advance, once exploited by the black market, the consequences would be unimaginable.

Billions of devices worldwide were actually running exposed on the edge of danger. This time, Mythos pulled them back.

Epic Reversal: Finding Bugs is No Longer the Bottleneck, Fixing Them Is!

As Project Glasswing progressed, a bizarre phenomenon never before seen in cybersecurity history was born.

"The bottleneck of cybersecurity is no longer finding vulnerabilities. The current bottleneck is: the speed at which humans can fix vulnerabilities is far outpaced by the speed at which AI discovers them."

For open-source community maintainers, this is simply a nightmare.

Anthropic's vulnerability reports flew like snowflakes to major open-source communities. The authors are already overwhelmed.

"Stop digging! Please, slow down! We really can't fix them fast enough!"

According to Anthropic, several open-source maintainers recently sent "pleading" emails asking them to slow down the pace of vulnerability disclosure due to severe manpower shortages.

Even with detailed reports, human programmers still need an average of two full weeks to fix a single high-risk vulnerability.

Currently, out of the 1,129 vulnerabilities Anthropic submitted to open-source authors, only 75 high-risk ones have been successfully patched. The current security ecosystem is severely overloaded!

Fight Fire with Fire: Anthropic's Defense

Since humans can't keep up with fixing them, fight fire with fire.

Anthropic decisively unveiled its "Defender Toolkit" plan.

First is the heavy-weight launch of Claude Security.

This is an automation marvel built specifically for Claude Enterprise customers. Its logic is: I not only help you find vulnerabilities in your codebase, but I also directly write the fix patches for you.

Within just three weeks of launch, enterprise customers have already used Opus 4.7 to fix over 2100 vulnerabilities at lightning speed!

Next is the "Network Verification Program."

Anthropic now allows professional white-hats, penetration testers, and red/blue teams to legally and compliantly lift certain "security restraints" on the Claude model for legitimate vulnerability research and test range activities.

More interestingly, Anthropic directly open-sourced a "BUG-finding pipeline."

1 Customized Instructions (Skills): Teach you how to keep the AI focused for deep code review.

2 Automation Framework (Harness): A command system enabling Claude to automatically traverse massive codebases, clone sub-agents for parallel scanning, automatically triage vulnerabilities, and generate reports.

3 Threat Model Builder: Simply throw your code in, and the AI automatically identifies the system's most vulnerable "soft spots," prioritizing them for defense.

Internet giant Cisco also stepped forward, announcing the open-sourcing of the "Foundry Security Spec" system to build security assessment defenses similar to Mythos.

From now on, it will be: AI finds vulnerabilities, then AI generates patches, with humans only responsible for final review.

This is the ultimate future form of cybersecurity.

The Sword of Damocles: When Will Mythos Be Publicly Released?

So, when exactly will Claude Mythos be officially released to the public?

Anthropic's current stance remains very cautious.

They state that once "more powerful, higher-level safety guardrails" are built, Mythos-level models will inevitably be pushed for full public release!

It cannot be released now because it is simply too dangerous.

As the XBOW test report states: Mythos Preview achieves "generational leaps ahead of all existing models" in web vulnerability exploitation benchmarks, even demonstrating "absolutely unprecedented precision" in every single token generation.

Anthropic is very clear that currently, no company in the world possesses security mechanisms strong enough to 100% ensure this model won't be abused.

If Mythos's API were made public today, tomorrow global hacker groups, and even some extremist organizations, could mass-produce thousands of zero-day exploitation tools at extremely low cost.

Ordinary people's computers, hospital systems, power grid control centers would face a catastrophe!

Anthropic's recommendations are:

1 Shorten the patch cycle! Shorten the patch cycle! Shorten the patch cycle! Don't hoard updates for a month; use existing AI tools (like Opus 4.7) to push security fixes to users as soon as possible.

2 Enforce upgrade policies. Developers must make updates as effortless as possible for users to install; for those who stubbornly refuse to upgrade, enforce network disconnection. Return to security fundamentals.

3 Strengthen multi-factor authentication (MFA), harden default configurations, maintain detailed logs.

The Calm Before the Storm

One month, collaboration with over 50 giants, 10,000+ critical vulnerabilities, intercepting $1.5M in wire fraud... These are just the initial results of Claude Mythos Preview flexing its muscles.

Right now, human programmers are experiencing the birth pangs—being inundated by AI reports, patching bugs that have lurked for 20-30 years.

But as Anthropic envisions—

"After navigating these risks, an exhilarating world beckons: one where humanity's important code will be forged to be a hundred times more robust than today's, and hacker attacks will become an exceedingly rare historical footnote."

Let us silently thank those AIs tirelessly reviewing hundreds of millions of lines of code.

It's quite possible that it just blocked a potentially fatal nuclear blast for you.

References:

https://x.com/AnthropicAI/status/20579091025425495

This article is from the WeChat public account "AI New Wisdom," author: ASI Revelation, editor: Aeneas Moses

Preguntas relacionadas

QWhat was the outcome of Anthropic's 'Project Glasswing' in its first 30 days?

AIn its first 30 days, Anthropic's 'Project Glasswing,' which utilized the Claude Mythos Preview AI model, identified over 10,000 high or critical severity software vulnerabilities across approximately 50 major tech companies and critical infrastructure software providers.

QWhat significant achievement did the Claude Mythos model accomplish in a real-world banking scenario?

AIn a real-world banking scenario, the Claude Mythos model successfully intercepted a $1.5 million wire transfer fraud by analyzing the transaction's abnormal behavior chain in real-time and blocking it at the last moment.

QWhat major shift in cybersecurity bottlenecks does the report highlight due to AI like Claude Mythos?

AThe report highlights a major shift where the bottleneck in cybersecurity is no longer finding vulnerabilities, but rather the human inability to patch them fast enough. AI can discover vulnerabilities far quicker than developers can fix them.

QWhat was a particularly dangerous vulnerability discovered by Mythos in the wolfSSL library, and why was it significant?

AMythos discovered a hidden logic flaw in the wolfSSL cryptography library that could allow hackers to forge digital certificates and create perfect fake websites. This was significant because wolfSSL is used in billions of devices globally, meaning they were all at severe risk.

QWhy is Anthropic hesitant to publicly release the Claude Mythos model immediately, according to the article?

AAnthropic is hesitant to publicly release Claude Mythos immediately because it is considered too dangerous. They state that without 'more powerful, higher-level safety guardrails,' releasing it could enable malicious actors to cheaply mass-produce zero-day exploit tools, potentially devastating critical systems worldwide.

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Qué es AGENT S

Agent S: El Futuro de la Interacción Autónoma en Web3 Introducción En el paisaje en constante evolución de Web3 y las criptomonedas, las innovaciones están redefiniendo constantemente cómo los individuos interactúan con las plataformas digitales. Uno de estos proyectos pioneros, Agent S, promete revolucionar la interacción humano-computadora a través de su marco agente abierto. Al allanar el camino para interacciones autónomas, Agent S busca simplificar tareas complejas, ofreciendo aplicaciones transformadoras en inteligencia artificial (IA). Esta exploración detallada profundizará en las complejidades del proyecto, sus características únicas y las implicaciones para el dominio de las criptomonedas. ¿Qué es Agent S? Agent S se presenta como un marco agente abierto innovador, diseñado específicamente para abordar tres desafíos fundamentales en la automatización de tareas informáticas: Adquisición de Conocimiento Específico del Dominio: El marco aprende inteligentemente de diversas fuentes de conocimiento externas y experiencias internas. Este enfoque dual le permite construir un rico repositorio de conocimiento específico del dominio, mejorando su rendimiento en la ejecución de tareas. Planificación a Largo Plazo de Tareas: Agent S emplea planificación jerárquica aumentada por la experiencia, un enfoque estratégico que facilita la descomposición y ejecución eficiente de tareas complejas. Esta característica mejora significativamente su capacidad para gestionar múltiples subtareas de manera eficiente y efectiva. Manejo de Interfaces Dinámicas y No Uniformes: El proyecto introduce la Interfaz Agente-Computadora (ACI), una solución innovadora que mejora la interacción entre agentes y usuarios. Utilizando Modelos de Lenguaje Multimodal de Gran Escala (MLLMs), Agent S puede navegar y manipular diversas interfaces gráficas de usuario sin problemas. A través de estas características pioneras, Agent S proporciona un marco robusto que aborda las complejidades involucradas en la automatización de la interacción humana con las máquinas, preparando el terreno para una multitud de aplicaciones en IA y más allá. ¿Quién es el Creador de Agent S? Si bien el concepto de Agent S es fundamentalmente innovador, la información específica sobre su creador sigue siendo elusiva. El creador es actualmente desconocido, lo que resalta ya sea la etapa incipiente del proyecto o la elección estratégica de mantener a los miembros fundadores en el anonimato. Independientemente de la anonimidad, el enfoque sigue siendo en las capacidades y el potencial del marco. ¿Quiénes son los Inversores de Agent S? Dado que Agent S es relativamente nuevo en el ecosistema criptográfico, la información detallada sobre sus inversores y patrocinadores financieros no está documentada explícitamente. La falta de información disponible públicamente sobre las bases de inversión u organizaciones que apoyan el proyecto plantea preguntas sobre su estructura de financiamiento y hoja de ruta de desarrollo. Comprender el respaldo es crucial para evaluar la sostenibilidad del proyecto y su posible impacto en el mercado. ¿Cómo Funciona Agent S? En el núcleo de Agent S se encuentra una tecnología de vanguardia que le permite funcionar de manera efectiva en diversos entornos. Su modelo operativo se basa en varias características clave: Interacción Humano-Computadora Similar a la Humana: El marco ofrece planificación avanzada de IA, esforzándose por hacer que las interacciones con las computadoras sean más intuitivas. Al imitar el comportamiento humano en la ejecución de tareas, promete elevar las experiencias de los usuarios. Memoria Narrativa: Empleada para aprovechar experiencias de alto nivel, Agent S utiliza memoria narrativa para hacer un seguimiento de las historias de tareas, mejorando así sus procesos de toma de decisiones. Memoria Episódica: Esta característica proporciona a los usuarios una guía paso a paso, permitiendo que el marco ofrezca apoyo contextual a medida que se desarrollan las tareas. Soporte para OpenACI: Con la capacidad de ejecutarse localmente, Agent S permite a los usuarios mantener el control sobre sus interacciones y flujos de trabajo, alineándose con la ética descentralizada de Web3. Fácil Integración con APIs Externas: Su versatilidad y compatibilidad con varias plataformas de IA aseguran que Agent S pueda encajar sin problemas en ecosistemas tecnológicos existentes, convirtiéndolo en una opción atractiva para desarrolladores y organizaciones. Estas funcionalidades contribuyen colectivamente a la posición única de Agent S dentro del espacio cripto, ya que automatiza tareas complejas y de múltiples pasos con una intervención humana mínima. A medida que el proyecto evoluciona, sus posibles aplicaciones en Web3 podrían redefinir cómo se desarrollan las interacciones digitales. Cronología de Agent S El desarrollo y los hitos de Agent S pueden encapsularse en una cronología que resalta sus eventos significativos: 27 de septiembre de 2024: El concepto de Agent S fue lanzado en un documento de investigación integral titulado “Un Marco Agente Abierto que Usa Computadoras Como un Humano”, mostrando las bases del proyecto. 10 de octubre de 2024: El documento de investigación fue puesto a disposición del público en arXiv, ofreciendo una exploración profunda del marco y su evaluación de rendimiento basada en el benchmark OSWorld. 12 de octubre de 2024: Se lanzó una presentación en video, proporcionando una visión visual de las capacidades y características de Agent S, involucrando aún más a posibles usuarios e inversores. Estos marcadores en la cronología no solo ilustran el progreso de Agent S, sino que también indican su compromiso con la transparencia y la participación comunitaria. Puntos Clave Sobre Agent S A medida que el marco Agent S continúa evolucionando, varios atributos clave destacan, subrayando su naturaleza innovadora y potencial: Marco Innovador: Diseñado para proporcionar un uso intuitivo de las computadoras similar a la interacción humana, Agent S aporta un enfoque novedoso a la automatización de tareas. Interacción Autónoma: La capacidad de interactuar de manera autónoma con las computadoras a través de GUI significa un salto hacia soluciones informáticas más inteligentes y eficientes. Automatización de Tareas Complejas: Con su metodología robusta, puede automatizar tareas complejas y de múltiples pasos, haciendo que los procesos sean más rápidos y menos propensos a errores. Mejora Continua: Los mecanismos de aprendizaje permiten a Agent S mejorar a partir de experiencias pasadas, mejorando continuamente su rendimiento y eficacia. Versatilidad: Su adaptabilidad en diferentes entornos operativos como OSWorld y WindowsAgentArena asegura que pueda servir a una amplia gama de aplicaciones. A medida que Agent S se posiciona en el paisaje de Web3 y criptomonedas, su potencial para mejorar las capacidades de interacción y automatizar procesos significa un avance significativo en las tecnologías de IA. A través de su marco innovador, Agent S ejemplifica el futuro de las interacciones digitales, prometiendo una experiencia más fluida y eficiente para los usuarios en diversas industrias. Conclusión Agent S representa un audaz avance en la unión de la IA y Web3, con la capacidad de redefinir cómo interactuamos con la tecnología. Aunque aún se encuentra en sus primeras etapas, las posibilidades para su aplicación son vastas y atractivas. A través de su marco integral que aborda desafíos críticos, Agent S busca llevar las interacciones autónomas al primer plano de la experiencia digital. A medida que nos adentramos más en los reinos de las criptomonedas y la descentralización, proyectos como Agent S sin duda desempeñarán un papel crucial en la configuración del futuro de la tecnología y la colaboración humano-computadora.

466 Vistas totalesPublicado en 2025.01.14Actualizado en 2025.01.14

Cómo comprar S

¡Bienvenido a HTX.com! Hemos hecho que comprar Sonic (S) sea simple y conveniente. Sigue nuestra guía paso a paso para iniciar tu viaje de criptos.Paso 1: crea tu cuenta HTXUtiliza tu correo electrónico o número de teléfono para registrarte y obtener una cuenta gratuita en HTX. Experimenta un proceso de registro sin complicaciones y desbloquea todas las funciones.Obtener mi cuentaPaso 2: ve a Comprar cripto y elige tu método de pagoTarjeta de crédito/débito: usa tu Visa o Mastercard para comprar Sonic (S) al instante.Saldo: utiliza fondos del saldo de tu cuenta HTX para tradear sin problemas.Terceros: hemos agregado métodos de pago populares como Google Pay y Apple Pay para mejorar la comodidad.P2P: tradear directamente con otros usuarios en HTX.Over-the-Counter (OTC): ofrecemos servicios personalizados y tipos de cambio competitivos para los traders.Paso 3: guarda tu Sonic (S)Después de comprar tu Sonic (S), guárdalo en tu cuenta HTX. Alternativamente, puedes enviarlo a otro lugar mediante transferencia blockchain o utilizarlo para tradear otras criptomonedas.Paso 4: tradear Sonic (S)Tradear fácilmente con Sonic (S) en HTX's mercado spot. Simplemente accede a tu cuenta, selecciona tu par de trading, ejecuta tus trades y monitorea en tiempo real. Ofrecemos una experiencia fácil de usar tanto para principiantes como para traders experimentados.

877 Vistas totalesPublicado en 2025.01.15Actualizado en 2025.03.21

Discusiones

Bienvenido a la comunidad de HTX. Aquí puedes mantenerte informado sobre los últimos desarrollos de la plataforma y acceder a análisis profesionales del mercado. A continuación se presentan las opiniones de los usuarios sobre el precio de S (S).