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

marsbitPublished on 2026-05-25Last updated on 2026-05-25

Abstract

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

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marsbit3h ago

Three Years Later: Looking Back at My Predictions About ChatGPT in 2023

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Three Years Later: Looking Back on My 2023 Predictions for ChatGPT

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Xiaomi MiMo's 99% Price Cut is Not Marketing! Luo Fuli Posts on X to Refute Critics

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Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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