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feat(security): implement rapid asset draining detection utility and metrics compiler#205

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mijinummi merged 1 commit into
MD-Creative-Production:mainfrom
rabsqueen:feat/143-asset-drain-detection
Jul 19, 2026
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feat(security): implement rapid asset draining detection utility and metrics compiler#205
mijinummi merged 1 commit into
MD-Creative-Production:mainfrom
rabsqueen:feat/143-asset-drain-detection

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@rabsqueen

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🎯 Core Overview

Problem Statement

The security platform processes ledger transfers individually, but lacks a mechanism to evaluate the cumulative velocity of capital outflows. Without rolling window telemetry, multi-transaction smart contract compromises or rapid treasury draining attacks go unnoticed until balances are depleted.

Proposed Solution

This PR implements the codebase layout for issue #143. It introduces an AssetDrainDetector that processes outbound transfers over a 5-minute rolling window. If outflows cross safe values ($50k USD or 20% of total treasury value), the engine automatically registers a high/critical degradation factor to lower the organization's security posture score instantly.

Closes #143


🛠️ Technical Implementation Details

1. Rolling Outflow Calculations

  • Built evaluation algorithms filtering incoming blocks using sliding metrics ($T_{now} - 5m$). This ensures low processing footprints ($O(N)$ runtime complexity) matching high event traffic.

2. Multi-Tier Severity Scaling

  • Implemented graduated risk steps mapping minor variations to MEDIUM, crossing baseline limits to HIGH, and major losses (>50% capitalization) to CRITICAL, generating up to a 40-point posture reduction.

📋 Quality Assurance Matrix

  • Compilation completes cleanly with zero TypeScript adjustments required (npm run build).
  • Implemented pure functions inside the detector layer to enable deterministic testing without side effects.

@mijinummi
mijinummi merged commit 29dca11 into MD-Creative-Production:main Jul 19, 2026
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@grantfox-oss grantfox-oss Bot mentioned this pull request Jul 19, 2026
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@mijinummi

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LGTM! Well done for this beautiful work..

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Detect Rapid Asset Draining Events

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