CASCADE: A Component Ablation and Corpus Audit of a Layered Local Defense for MCP-Based Systems
-cross Abstract: The Model Context Protocol (MCP) widens the prompt injection attack surface of large language model applications to tool…
Why am I seeing this Ranked on source trust — arXiv
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| Factor | Weight | Score | Contribution | Where it came from |
|---|---|---|---|---|
| Corroboration | 0.35 | 0.39 | +0.135 34% | 1 independent org on the story. Tier-3 aggregators never corroborate — they can show something is circulating, never that it is true. |
| Source trustleads | 0.25 | 0.85 | +0.212 53% | arXiv is the highest-trust source on this story and is first-party — the organisation announcing its own news. Trust is taken from the best source, not averaged. |
| Pickup rate | 0.20 | 0.00 | +0.000 0% | One counted organisation, so there is no spread to measure — nothing has picked this up to set a rate. |
| Freshness | 0.20 | 0.25 | +0.050 13% | Halves every 10 hours from the newest item on the story. This is the only factor that rewards a story for nothing more than being recent. |
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What happened
-cross Abstract: The Model Context Protocol (MCP) widens the prompt injection attack surface of large language model applications to tool descriptions, parameter schemas, and tool outputs. Defenses for it are appearing quickly, but their reported figures are not comparable: each is evaluated on a corpus of its authors' construction, under a decision convention that is rarely stated. This paper asks how much those choices decide, taking CASCADE, a fully local layered defense, as the case: three configurations on a frozen 5,000-sample corpus under a pinned revision and a fixed protocol, with that corpus audited in full.
How this story arrived
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- 01 Arxivfirst-party first seen CASCADE: A Component Ablation and Corpus Audit of a Layered Local Defense for MCP-Based Syst
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