Nobody needs Mythos or 0-days to build a chaos-causing computer worm – free open source models work just fine
Researchers from the University of Toronto have demonstrated that free open-source AI models can be used to create computer worms that exploit known vulnerabilities. Their prototype worm adapts to target systems and spreads through networks without relying on zero-day vulnerabilities. This highlights a significant security threat as attackers can operationalize known vulnerabilities at scale, potentially outpacing defenders' ability to respond.
- ▪The researchers used a publicly available open-weight model to develop a computer worm that spread through an enterprise test network.
- ▪The worm adapts to identify known vulnerabilities and misconfigurations, allowing it to compromise additional machines.
- ▪The study emphasizes that most real-world cyberattacks exploit known vulnerabilities rather than zero-day flaws.
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| Original publisher | www.theregister.com - Articles |
| Canonical URL | https://www.theregister.com/research/2026/06/04/free-ai-model-powers-self-spreading-worm-in-enterprise-test-network/5250918 |
| Publication time | Thu, 04 Jun 2026 09:09:00 +0200 |
| Retrieval time | 2026-06-04T07:17:39.521Z |
| Last seen | 2026-06-04T07:45:23.898Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | kRLFjev8CP68 |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(function() { let windowUrl = window.location.href; windowUrl = windowUrl.substring(windowUrl.indexOf('?') + 1); let messageElement = document.querySelector('.shareableMessage'); if (windowUrl && windowUrl.includes('code') && windowUrl.includes('expires')) { messageElement.style.display = 'block'; } })(); RESEARCH Nobody needs Mythos or 0-days to build a chaos-causing computer worm – free open source models work just fine 'Attackers can now cheaply operationalize known vulnerabilities at scale,' boffins tell The Reg Jessica Lyons Jessica Lyons Published thu 4 Jun 2026 // 08:09 UTC There's a lot of fear surrounding the bug-finding capabilities of super-advanced AI models like Anthropic's Mythos and OpenAI's GPT 5.5-Cyber.
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