Claude Mythos finds 271 vulnerabilities in Firefox, defenders may have a decisive advantage

MarketWhisper

Firefox安全漏洞

Mozilla announced on Tuesday that an early version of Anthropic’s Claude Mythos AI model, during internal testing, identified 271 security vulnerabilities in the Firefox browser, and all of them were patched within this week. While Mozilla said it was also surprised by the findings, it noted that the results suggest a fundamental shift may be underway in the cybersecurity landscape, and that defenders may be about to shrink attackers’ advantage—one that they have held for years.

From 22 to 271: Claude Mythos’s security capability leap

Mozilla previously tested another Anthropic model that, in an earlier version of Firefox, identified 22 security-sensitive vulnerabilities. The discovery of 271 vulnerabilities this time represents a major jump in scale.

Mozilla emphasized that all vulnerabilities found by the system could be found even by “top human researchers,” and that AI tools have not yet revealed entirely new categories of vulnerabilities that humans can’t understand. Its core advantage is that it greatly speeds up this process, enabling developers to quickly identify issues before attackers can exploit them.

Claude Mythos was released in March 2026. It is Anthropic’s most advanced model to date, and company internal materials describe it as a new model that goes beyond the earlier Opus series. In pre-release testing, it found thousands of previously unknown vulnerabilities across major operating systems and web browsers.

Project Glasswing: Why access is tightly controlled

Anthropic provides limited access to Claude Mythos through its “Glasswing Program” (Project Glasswing). The organizations currently approved to use it are limited to specific vetted technology companies such as Amazon, Apple, and Microsoft, with use cases restricted to software vulnerability scanning.

The rationale behind this strict control is as follows: testing by a UK AI safety research institute found that Claude Mythos can autonomously carry out complex web operations, including multi-stage enterprise network attack simulations without any human intervention. According to people familiar with the matter, even though the Trump administration had called for a halt to the use of Anthropic’s technology, the U.S. National Security Agency (NSA) has deployed and is running a preview version of Claude Mythos on classified networks.

A double-edged sword: The same capabilities can accelerate cyberattacks

The results Mozilla found have far-reaching implications on both sides. Security researchers warn that AI systems that can analyze code at scale can automatically identify exploitable vulnerabilities in widely used software. If it falls into the hands of bad actors, it will create an unprecedented cybersecurity threat for software companies and users—and may even give rise to a new generation of automated cyberattack forms.

Frequently Asked Questions

What types of issues are the 271 vulnerabilities Claude Mythos found in Firefox?

According to Mozilla, these are real security-sensitive vulnerabilities that “even top human researchers” can find. Mozilla said AI tools have not yet revealed entirely new categories of vulnerabilities that humans can’t understand. However, their advantage lies in how far faster they can conduct large-scale systematic scanning than manual review, and all issues have been fully fixed within this week.

What is the purpose of the Glasswing Program, and which organizations can use Claude Mythos?

The Glasswing Program is Anthropic’s controlled-access program. Currently, only a limited number of vetted technology companies such as Amazon, Apple, and Microsoft are allowed to use Claude Mythos for limited purposes, with use restricted to software security vulnerability scanning. This restriction reflects Anthropic’s high level of caution about the dual-use risks of the model.

What are the broader, far-reaching implications of this discovery for the cybersecurity industry as a whole?

Mozilla said the emergence of AI tools may give defenders, for the first time, an opportunity to shrink attackers’ long-held advantage and achieve “decisive victory.” However, researchers also warn that the same capabilities can be used by attackers as well, accelerating the scale and efficiency of automated cyberattacks. Therefore, controlling access to AI security tools is crucial.

Disclaimer: The information on this page may come from third parties and does not represent the views or opinions of Gate. The content displayed on this page is for reference only and does not constitute any financial, investment, or legal advice. Gate does not guarantee the accuracy or completeness of the information and shall not be liable for any losses arising from the use of this information. Virtual asset investments carry high risks and are subject to significant price volatility. You may lose all of your invested principal. Please fully understand the relevant risks and make prudent decisions based on your own financial situation and risk tolerance. For details, please refer to Disclaimer.

Related Articles

SK Telecom and Nvidia Partner on A.X K2 AI Model Under South Korea's Government Initiative

SK Telecom and Nvidia push A.X K2 under Korea’s Proprietary AI Foundation Model initiative, expanding from A.X K1 to a full-stack, open-source AI platform via the Krafton-Rebellions consortium for academic and commercial use. Abstract: The article reports SK Telecom’s partnership with Nvidia to develop A.X K2 as a successor to A.X K1 under Korea’s government-backed program. The effort aims to create a full-stack, open-source AI platform through a Krafton-Rebellions-led consortium, with research focused on multimodal and vision-language models and open access to A.X models for academia and industry.

GateNews2m ago

Tsinghua Professor Dai Jifeng Launches Naive.ai, Raises ~$300M at $800M Valuation

Gate News message, April 22 — Dai Jifeng, an associate professor at Tsinghua University's Department of Electronic Engineering, has founded Naive.ai, a company focused on open-source model post-training and AI agents. The startup has raised approximately $300 million at an estimated valuation of $80

GateNews22m ago

AWS Expands Multi-Agent AI Workflows, Supports Claude Opus 4.7 on Bedrock

Gate News message, April 22 — Amazon Web Services announced expansion of its agentic AI initiatives through multi-agent workflows, supporting Anthropic's Claude Opus 4.7 on Amazon Bedrock to help customers move beyond generative AI pilots. The company is expanding partner relationships as customers

GateNews32m ago

Zhipu AI Discontinues GLM Coding Plan Unlimited Weekly Quota Subscription on April 30

Gate News message, April 22 — Zhipu AI announced that it will discontinue automatic renewal of the GLM Coding Plan unlimited weekly quota subscription starting at 10:00 AM Beijing time on April 30, 2026. The discontinuation affects users currently subscribed to the legacy plan with auto-renewal

GateNews1h ago

Anthropic's Claude Code Removal Sparks Developer Backlash; OpenAI Gains Community Support

Anthropic drops Claude Code from Pro plan, drawing criticism as developers migrate to OpenAI; Codex remains free/basic, GPT-5.4 and Image 2.0 boost performance, driving large user migration. Abstract: The article examines Anthropic's removal of Claude Code from the $20 Pro plan, which triggers backlash from developers who call it a hidden price increase and a reliability risk. It contrasts this move with OpenAI's policy of keeping Codex in free and basic tiers, while highlighting strong model performance from GPT-5.4 and ChatGPT Images 2.0, and notes a rapid migration of users to OpenAI, with Codex reportedly exceeding 4 million weekly active users.

GateNews1h ago

Meta Plans to Track U.S. Employee Mouse Clicks and Keystrokes to Train AI Models

Meta plans to deploy employee monitoring software that captures mouse movements, clicks, keystrokes, and periodic screenshots to train AI models; data not used for performance reviews, with safeguards. Abstract: Meta intends to install monitoring software on U.S. employees’ computers to capture mouse movements, clicks, keystrokes, and occasional screenshots to train its AI models. The company says this data won’t be used for performance evaluations and that security measures protect sensitive content, aiming to improve models for tasks like dropdown menus and keyboard shortcuts.

GateNews1h ago
Comment
0/400
No comments