{"id":60729,"date":"2026-05-25T07:09:26","date_gmt":"2026-05-25T07:09:26","guid":{"rendered":"https:\/\/www.theregister.com\/a\/5245596"},"modified":"2026-05-25T07:09:26","modified_gmt":"2026-05-25T07:09:26","slug":"anthropic-to-release-mythos-class-models-to-the-public","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/anthropic-to-release-mythos-class-models-to-the-public\/","title":{"rendered":"Anthropic to release Mythos-class models to the public"},"content":{"rendered":"
<\/div>\n
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Security<\/p>\n

AI flaw-finder still under lock and key for now while company figures out guardrails, but extends access to more users including governments<\/p>\n<\/p><\/div>\n

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Anthropic has revealed its intention to one day release models that match the performance of its Mythos bug-finding AI to the public, once it can make them safe.<\/p>\n

In case you came in late, in early April Anthropic announced<\/a> it had developed a model called Mythos that is so good at finding security vulnerabilities in programming code that the company decided to offer it only to select entities because allowing unfettered access would mean cybercriminals could quickly discover and exploit software flaws.<\/p>\n

That access program is called \u201cProject Glasswing\u201d and participants report<\/a> it quickly finds many bugs but few that humans couldn\u2019t find given enough time and resources. Those with access to Mythos have also sometimes said the quantity of bugs it finds somewhat overwhelms their ability to patch them all.<\/p>\n

The mere existence of Mythos has sparked a little panic \u2013 Japan\u2019s government ordered a sweeping security review<\/a> and Indian authorities demanded a patching spree at financial institutions \u2013 plus a general realization that even lesser AI models are also decent bug-finders, meaning cyber-defenders must now expect attackers will weaponize more flaws, more often.<\/p>\n

No company\u2014including Anthropic\u2014has developed safeguards strong enough to prevent such models from being misused <\/p>\n

Anthropic last week published an \u201cinitial update\u201d<\/a> on Project Glasswing that in its second-to-last paragraph reveals the company\u2019s next step will see it \u201c\u2026 work with critical partners \u2013 including US and allied governments \u2013 to expand Project Glasswing to additional partners. And in the near future, once we\u2019ve developed the far stronger safeguards we need, we look forward to making Mythos-class models available through a general release.\u201d<\/p>\n

The company didn\u2019t explain what it means by \u201cnear future\u201d and admits that \u201cAt present, no company\u2014including Anthropic\u2014has developed safeguards strong enough to prevent such models from being misused and potentially causing severe harm.\u201d<\/p>\n

Further illustration of that assertion can be found earlier in the company\u2019s post, which reveals that Anthropic has used Mythos to scan more than 1,000 open-source projects that it says \u201ccollectively underpin much of the internet \u2013 and much of our own infrastructure.\u201d<\/p>\n

To date, Mythos has found an estimated 6,202 high-or-critical-severity vulnerabilities in these projects \u2013 and 23,019 flaws in all.<\/p>\n

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MORE CONTEXT<\/h2>\n<\/p><\/div>\n<\/div>\n

The post reveals that when Mythos finds a flaw, Anthropic and its pals in the security community reproduce the issue that Mythos has found and \u201cre-assess its severity.\u201d<\/p>\n

\u201cOnce we\u2019ve confirmed that a vulnerability is real, we check for whether there are already fixes in place, and write a detailed report to the software\u2019s maintainers,\u201d Anthropic explains. \u201cWe take considerable care here: on top of the regular challenges of maintaining open-source software, maintainers have been facing a deluge of low-quality, AI-generated bug reports. Indeed, several maintainers have told us they\u2019re currently severely capacity constrained, and some have even asked us to slow down our rate of disclosures because they need more time to design patches.\u201d<\/p>\n

1,752 of the high-or-critical-rated vulnerabilities Mythos found in FOSS have gone through that process and 90.6 percent (1,587) proved to be valid flaws. Of those, 62.4 percent (1,094) \u201cwere confirmed as either high-or-critical-severity,\u201d the post states.<\/p>\n

One of the critical flaws impacted the wolfSSL cryptography library used by billions of devices worldwide.<\/p>\n

\u201cMythos Preview constructed an exploit<\/a> that would let an attacker forge certificates that would (for instance) allow them to host a fake website for a bank or email provider,\u201d Anthropic wrote. \u201cThe website would look perfectly legitimate to an end user, despite being controlled by the attacker.\u201d Thankfully, developers have already patched wolfSSL, and Anthropic said it will deliver a full technical analysis \u201cin the coming weeks.\u201d<\/p>\n

Keep an eye out for CVE-2026-5194 to learn more about this one.<\/p>\n

Mythos is adding to an already overloaded security ecosystem<\/p>\n

\u201c75 of the 530 high-or-critical-severity bugs we\u2019ve reported have now been patched, and 65 of those have been given public advisories,\u201d the post states, then explains that low fix rate by revealing Anthropic is \u201cstill early in the 90-day window that\u2019s set out in our Coordinated Vulnerability Disclosure policy: we expect many more patches to land soon.\u201d The company thinks it is also \u201clikely to be undercounting patches because some vulnerabilities are patched without a public advisory.\u201d Lastly, the flood of bugs Mythos found \u201cis adding to an already overloaded security ecosystem.\u201d<\/p>\n

Anthropic\u2019s suggestion for security teams struggling to develop fixes for bugs AI discovered is, unsurprisingly, more AI such as skills<\/a> that improve its Claude model\u2019s ability to help developers. \u00ae<\/p>\n<\/p><\/div>\n

READ MORE HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

AI flaw-finder still under lock and key for now while company figures out guardrails, but extends access to more users including governments READ MORE HERE…<\/p>\n","protected":false},"author":2,"featured_media":60730,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[63],"tags":[307],"class_list":["post-60729","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-the-register","tag-security"],"yoast_head":"\nAnthropic to release Mythos-class models to the public 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security & Cyber Threats Analysis Hub. 100% Free OSINT Threat Intelligent and Cybersecurity News.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link 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