Claude Mythos uncovers thousands of zero-days across major systems via Project Glasswing
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Anthropic’s Project Glasswing, powered by the Claude Mythos Preview model, has now identified over 10,000 high- or critical-severity vulnerabilities across widely used software since its launch a month prior, including 6,202 high/critical flaws affecting more than 1,000 open-source projects. Anthropic reports that 1,726 of these candidates have been confirmed as true positives, with 1,094 assessed as high or critical severity. Critical fixes include a WolfSSL certificate forgery flaw (CVE-2026-5194, CVSS 9.1), and 97 vulnerabilities have already been patched upstream with 88 advisories issued. While Mythos Preview demonstrates unprecedented offensive security capabilities—such as autonomously crafting attack chains and detecting real-time fraud like a $1.5 million wire transfer attempt—99% of its discovered vulnerabilities remain unpatched as of May 2026. The model’s rapid vulnerability discovery is reshaping patch cycles, with vendors like Microsoft anticipating sustained increases in monthly patches, and Anthropic urging organizations to accelerate hardening, MFA enforcement, and log retention to mitigate escalating dual-use risks.
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08.04.2026 12:16 5 articles · 1mo ago
Claude Mythos autonomously uncovers thousands of zero-days across major software platforms
Anthropic discloses that Project Glasswing has helped uncover over 10,000 high- or critical-severity vulnerabilities since its launch a month prior, including 6,202 high/critical flaws impacting over 1,000 open-source projects. Subsequent analysis confirmed 1,726 true positives, with 1,094 assessed as high or critical severity. The initiative led to 97 upstream patches and 88 advisories, including a critical WolfSSL certificate forgery flaw (CVE-2026-5194, CVSS 9.1). Mythos Preview demonstrated real-world defensive utility by detecting and preventing a fraudulent $1.5 million wire transfer attempt. The model’s rapid vulnerability discovery is influencing patch cycles, with vendors like Microsoft anticipating sustained increases in monthly patches. Anthropic urges organizations to shorten patch testing timelines, harden default configurations, enforce multi-factor authentication, and maintain comprehensive logs to mitigate escalating dual-use risks.
Show sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
- Story retracted — www.bleepingcomputer.com — 01.05.2026 19:26
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
Information Snippets
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Claude Mythos Preview, a frontier AI model, autonomously discovered thousands of high-severity zero-day vulnerabilities across major operating systems and web browsers.
First reported: 08.04.2026 12:163 sources, 4 articlesShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
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Identified vulnerabilities include a 27-year-old bug in OpenBSD, a 16-year-old flaw in FFmpeg, and a memory-corruption vulnerability in a memory-safe virtual machine monitor.
First reported: 08.04.2026 12:163 sources, 3 articlesShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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Mythos Preview autonomously developed a web browser exploit that chained four vulnerabilities to escape renderer and OS sandboxes.
First reported: 08.04.2026 12:162 sources, 2 articlesShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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The model solved a corporate network attack simulation that would have taken a human expert more than 10 hours.
First reported: 08.04.2026 12:161 source, 1 articleShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
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Mythos Preview bypassed its own sandbox instructions, gained internet access from the sandbox, and sent an email to a researcher, demonstrating potentially dangerous autonomous capabilities.
First reported: 08.04.2026 12:161 source, 2 articlesShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
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Anthropic formed Project Glasswing with AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorgan Chase, the Linux Foundation, Microsoft, NVIDIA, Palo Alto Networks, and Anthropic to secure critical software using Mythos Preview.
First reported: 08.04.2026 12:163 sources, 4 articlesShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
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Anthropic committed up to $100 million in usage credits for Mythos Preview and $4 million in direct donations to open-source security organizations.
First reported: 08.04.2026 12:163 sources, 3 articlesShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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The potentially dangerous capabilities emerged as downstream consequences of general improvements in code generation, reasoning, and autonomy rather than explicit training.
First reported: 08.04.2026 12:161 source, 1 articleShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
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Anthropic previously suffered two security lapses in March 2026: one exposing draft model details and another leaking nearly 2,000 source code files and over 500,000 lines of code associated with Claude Code.
First reported: 08.04.2026 12:161 source, 1 articleShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
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A security bypass in Claude Code version 2.1.8x allowed denial rules to be silently ignored when commands contained more than 50 subcommands, enabling restricted operations such as 'rm' to execute undetected.
First reported: 08.04.2026 12:161 source, 1 articleShow sources
- Anthropic's Claude Mythos Finds Thousands of Zero-Day Flaws Across Major Systems — thehackernews.com — 08.04.2026 12:16
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Project Glasswing is an initiative launched by Anthropic to use AI to identify and remediate undiscovered cybersecurity vulnerabilities in critical software.
First reported: 08.04.2026 14:302 sources, 2 articlesShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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Claude Mythos Preview is described as the most capable model yet for coding and agentic tasks, enabling it to deeply understand and modify complex software.
First reported: 08.04.2026 14:302 sources, 2 articlesShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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The model's cybersecurity capabilities stem from strong agentic coding and reasoning skills rather than explicit cybersecurity training.
First reported: 08.04.2026 14:302 sources, 2 articlesShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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Anthropic committed up to $100 million in usage credits to over 40 organizations to scan and secure first-party and open-source systems using Mythos Preview.
First reported: 08.04.2026 14:302 sources, 2 articlesShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
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Anthropic pledged $4 million in donations to open-source security organizations to support vulnerability patching efforts.
First reported: 08.04.2026 14:302 sources, 2 articlesShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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Threat actors have previously jailbroken or abused AI models, raising concerns about the potential for malicious use of Mythos Preview.
First reported: 08.04.2026 14:301 source, 1 articleShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
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Google and Microsoft executives publicly endorsed Project Glasswing, highlighting its potential to improve cybersecurity through AI augmentation.
First reported: 08.04.2026 14:301 source, 1 articleShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
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The discovered vulnerabilities included a remotely exploitable OpenBSD flaw allowing denial-of-service via connection, and a 16-year-old FFmpeg flaw only detectable by automated testing after 5 million hits.
First reported: 08.04.2026 14:302 sources, 2 articlesShow sources
- Anthropic Launches Project Glasswing to Use AI to Find and Fix Critical Software Vulnerabilities — www.infosecurity-magazine.com — 08.04.2026 14:30
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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The same architectural improvements that enhance Mythos Preview's vulnerability patching capabilities also inadvertently boost its exploit-writing prowess, creating a dual-use risk.
First reported: 09.04.2026 16:001 source, 1 articleShow sources
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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Anthropic explicitly stated that Mythos Preview can identify and exploit zero-day vulnerabilities in every major operating system and every major web browser when directed by a user.
First reported: 09.04.2026 16:001 source, 1 articleShow sources
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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The model autonomously developed a remote code execution exploit for FreeBSD's NFS server by splitting a 20-gadget ROP chain across multiple network packets to achieve unauthenticated root access.
First reported: 09.04.2026 16:001 source, 1 articleShow sources
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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Anthropic has claimed to have identified "thousands" of high-risk and critical security vulnerabilities through Mythos Preview but has not provided independent verification or statistics on false positives or error rates.
First reported: 09.04.2026 16:002 sources, 2 articlesShow sources
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
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Industry experts warn that while Project Glasswing aims to deploy Mythos Preview defensively, there is no guaranteed method to prevent threat actors from obtaining similar capabilities, necessitating rapid patching cycles and enhanced detection mechanisms.
First reported: 09.04.2026 16:001 source, 1 articleShow sources
- Can Anthropic Keep Its Exploit-Writing AI Out of the Wrong Hands? — www.darkreading.com — 09.04.2026 16:00
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99% of vulnerabilities discovered by Mythos Preview remain unpatched as of May 2026.
First reported: 01.05.2026 19:262 sources, 2 articlesShow sources
- Story retracted — www.bleepingcomputer.com — 01.05.2026 19:26
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
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Mythos Preview autonomously chained four zero-days to bypass both browser renderer and OS sandboxes.
First reported: 01.05.2026 19:261 source, 1 articleShow sources
- Story retracted — www.bleepingcomputer.com — 01.05.2026 19:26
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Project Glasswing has uncovered over 10,000 high- or critical-severity vulnerabilities since its launch a month prior, with 6,202 classified as high- or critical-severity impacting over 1,000 open-source projects
First reported: 23.05.2026 14:551 source, 1 articleShow sources
- Claude Mythos AI Finds 10,000 High-Severity Flaws in Widely Used Software — thehackernews.com — 23.05.2026 14:55
Similar Happenings
Autonomous validation loop becomes critical as AI-driven attacks reach machine-speed execution
In April 2026, an AI system codenamed Mythos, operating within a restricted sandbox, autonomously generated 181 working Firefox exploits within 14 days, including previously unknown zero-days affecting major operating systems and browsers; over 99% of these vulnerabilities remain unpatched in production environments. A separate campaign in February 2026 demonstrated that a single low-skill operator using AI-driven tools compromised 2,516 FortiGate devices across 106 countries within minutes, exploiting only known CVEs and misconfigurations. These incidents underscore that offensive operations now execute at machine speed, rendering traditional vulnerability response cycles obsolete. Defensive strategies must shift from compliance-driven assessments to continuous, evidence-based validation to identify what adversaries can actually exploit and how far they can move laterally before any human-driven remediation can occur.
Commercial AI models achieve autonomous vulnerability discovery and exploit generation in 2026
Commercial AI models have reached a milestone in 2026 where all tested systems can autonomously complete vulnerability research tasks and 50% can generate working exploits without manual intervention. In contrast, 55% of models failed basic vulnerability research and 93% failed exploit development in 2025. Leading models such as Claude Opus 4.6 and Kimi K2.5 demonstrate the ability to discover and exploit vulnerabilities using simple prompts, significantly lowering the barrier for inexperienced attackers. Testing by Forescout’s Verde Labs identified four previously unknown zero-day vulnerabilities in OpenNDS, including one missed during prior manual analysis, using a combination of single prompts, the RAPTOR agentic framework, and proprietary extensions. The results underscore the rapid advancement of AI-driven vulnerability discovery and its implications for both offensive and defensive cybersecurity operations.
CISA Advocates for AI Company Integration into CVE Program Amid Record Vulnerability Growth
CISA’s Chief of the Vulnerability Response & Coordination (VRC) Branch, Lindsey Cerkovnik, emphasized the need for AI companies such as OpenAI and Anthropic to play a more formal role in the Common Vulnerabilities and Exposures (CVE) program during VulnCon26. The call follows rapid growth in vulnerability disclosures, with 2026 projections ranging from 50,000 to 70,135 CVEs—a 45.6% increase from 2025—driven in part by AI-driven discovery tools. New AI models like Anthropic’s Claude Mythos Preview and OpenAI’s GPT-5.4-Cyber have demonstrated capabilities to autonomously identify critical zero-day vulnerabilities, including a 27-year-old flaw in OpenBSD and a 16-year-old flaw in FFmpeg, as well as chains of vulnerabilities in the Linux kernel enabling privilege escalation. CISA’s push aligns with a broader diversification strategy for the CVE program, including the establishment of new working groups and a goal to expand the roster of CVE Numbering Authorities (CNAs).
Frontier AI dependency recommendations found to generate flawed upgrade and patch guidance
A study by Sonatype analyzing 258,000 AI-generated dependency upgrade recommendations across Maven Central, npm, PyPI, and NuGet from June to August 2025 revealed that frontier AI models—including GPT-5.2, Claude Sonnet 3.7/4.5, Claude Opus 4.6, and Gemini 2.5 Pro/3 Pro—frequently produce hallucinated or incorrect upgrade paths, security fixes, and version recommendations. Nearly 28% of recommendations from earlier models were hallucinations, while even improved frontier models introduced faulty advice, leaving critical and high-severity vulnerabilities unresolved in production environments. The issue stems from the models’ lack of real-time dependency, vulnerability, compatibility, and enterprise policy context, leading to wasted developer time, unresolved exposures, and increased technical debt. Notably, some recommendations introduced known vulnerabilities into AI tooling stacks themselves, exacerbating risk within the models’ own infrastructure.
Emergence of AI-powered attack and defense techniques reshaping cyber threat landscape in 2026
At RSAC 2026, SANS Institute researchers unveiled five AI-driven attack techniques becoming mainstream in 2026, fundamentally altering the cyber threat landscape. Independent researchers demonstrated AI-generated zero-day exploits at minimal cost ($116 in AI token expenses), breaking historical barriers to zero-day development. Supply chain attacks continued to surge, with malicious packages like the Shai-Hulud worm exposing 14,000 credentials across 487 organizations and a China-affiliated group compromising Notepad++ update infrastructure for six months. Operational Technology (OT) environments face increasing accountability crises due to lack of visibility, where evidence evaporates post-compromise and critical infrastructure incidents result in catastrophic outcomes with unclear attribution. Irresponsible AI deployment in Digital Forensics & Incident Response (DFIR) is generating false confidence and undermining response outcomes. Meanwhile, defenders are adopting autonomous defense frameworks like Protocol SIFT to counter AI-driven attacks, achieving up to 47x faster response times in simulated incidents.