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From-scratch reimplementation of Mythos Glasswing pipeline

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From-scratch reimplementation of Mythos Glasswing pipeline
TL;DR · WeSearch summary

A new project has been launched that reimplements the Mythos Glasswing pipeline for vulnerability discovery. This approach emphasizes the use of multiple narrow agents working in parallel, rather than relying on a single large model. The pipeline includes various stages designed to enhance the accuracy and efficiency of finding vulnerabilities in codebases.

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Record

Original publisherGitHub
Canonical URLhttps://github.com/evilsocket/audit
Publication timeTue, 19 May 2026 00:11:04 +0000
Retrieval time2026-05-19T00:34:57.023Z
Last seen2026-05-19T00:34:57.023Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterE_QNeGVkHFJ8
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

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No publisher-confirmed rights record for this source yet.
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WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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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

audit An 8-stage vulnerability-discovery agent, driven by your Claude Pro / Max subscription through the official Claude Code Agent SDK. Many narrow agents, deliberate disagreement, and an explicit reachability gate. MIT-licensed. No API key needed if you already use claude login. Origin This project is a from-scratch reimplementation of the pipeline described in Cloudflare's Project Glasswing post, which tested Anthropic's Mythos preview LLM against Cloudflare's own codebase. The blog argues that real-world vulnerability discovery does not come from asking one big model "find bugs here" — it comes from: Many narrow agents working in parallel on tightly-scoped questions ("Look for command injection in this specific function, with this trust boundary above it") rather than one exhaustive…

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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