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PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing with Free-Tier LLMs

AI-driven penetration testing has been demonstrated with premium frontier models such as GPT-4, but the per-engagement token cost makes continuous,…

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Why am I seeing this Ranked on a first-party announcement from arXiv

arXiv announced this itself. A first-party post is the primary source for its own news, which is what carries it here — but nobody independent has covered it yet.

It clears the bar without leading strongly on any one factor. A middling score is not a claim that the story is important — only that nothing about it is weak.

Link-outLink-out, because it scores 0.31, below the 0.50 bar for a write-up. Link-out means we point at the publisher and say nothing of our own.

Blended score 0.307 — every figure below is computed, none of it is editorial.
FactorWeightScore ContributionWhere it came from
Corroborationleads 0.35 0.39 +0.135 44% 1 independent org on the story. Tier-3 aggregators never corroborate — they can show something is circulating, never that it is true.
Source trust 0.25 0.47 +0.117 38% 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 0.27 +0.054 18% 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.

Corroboration counts distinct organisations, once each, and only from tiers 1 and 2. Freshness halves every 10 hours, so this ranking is a snapshot and will differ at the next build.

Read the full article at Arxiv →

What happened

AI-driven penetration testing has been demonstrated with premium frontier models such as GPT-4, but the per-engagement token cost makes continuous, automated testing unaffordable for the smaller organisations that need it most. This paper presents PentestChain, a ten-phase automated penetration testing framework that couples a curated, deterministic exploit map with a cost-aware AI cascade-a local Ollama model (qwen2.5-7b) first, then free-tier OpenRouter and Cerebras, with a rule-based fallback that always produces output-and exposes the full pipeline through a Model Context Protocol (MCP) server with eleven tools.

1independent orgs
31story score
0velocity
47source trust
8passes seen

How this story arrived

Ordered by when each source was first observed, which is what the velocity figure is computed from. Publishers backdate; observed order does not.

  1. 01 Arxivfirst-party first seen PentestChain: A Cost-Aware, MCP-Orchestrated Framework for Automated Penetration Testing wit

Overclock clusters coverage from independent sources and grades it automatically. The figures above are computed, not editorial. This page summarises and links to reporting by the outlets named — follow the links for the original work.