Measuring LLMs' ability to develop exploits
Mythos Preview has demonstrated a significant ability to develop exploits, surpassing previous models. Recent benchmarks, including ExploitBench and ExploitGym, have shown that Mythos Preview consistently outperforms other evaluated models in exploit development. This suggests that the expertise required to create exploits may decrease as such advanced capabilities become more accessible.
- ▪Mythos Preview can find complex vulnerabilities and create complete end-to-end attack chains.
- ▪ExploitBench measures the ability of language models to write complete exploits rather than just proofs of concept.
- ▪Mythos Preview has been tested against new benchmarks and has shown superior performance compared to other models.
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Record
| Original publisher | Anthropic |
| Canonical URL | https://red.anthropic.com/2026/exploit-evals/ |
| Publication time | Sun, 24 May 2026 18:52:32 +0000 |
| Retrieval time | 2026-05-24T19:07:33.849Z |
| Last seen | 2026-05-24T19:07:33.849Z |
| 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 | GDHXmngbtWiw |
| 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 |
Rights status (four layers)
WeSearch handling by dimension
| 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
May 22, 2026 Newton Cheng, Keane Lucas, Winnie Xiao, Nicholas Carlini, and Milad Nasr Introduction Claude Mythos Preview’s ability to develop exploits is a step-change over previous frontier models. This was one of our primary motivations for rolling out the model carefully through Project Glasswing rather than through a general release. Mythos Preview is capable of finding complex vulnerabilities, but what concerned us most in our internal testing was that Mythos Preview could both turn vulnerabilities into exploit primitives, and combine those primitives together into complete end-to-end attack chains. When we published our Mythos Preview results, we measured its capabilities by having it search for novel zero-days and then build exploits for them.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Anthropic.
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