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JochenWeerda/VALEO-NeuroERP-3.0

https://github.com/JochenWeerda/VALEO-NeuroERP-3.0 · scanned 2026-06-16 04:29 UTC (2 months ago)

25 raw signals (0 security + 25 graph)

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Complete repo analysis

Last scanned 2 months ago · v1 · 24 actionable findings from 1 signal source. 1 repeated signal grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 24 findings

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Severity: Critical 1 High 3 Medium 13 Low 7 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 24 Crowd 0 Layer: Network 1 Hardware 1 Security 12 Cicd 1 Quality 9

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 73.9/100 with 100.0% coverage. It contains 341 nodes across 8 cross-layer flows, written primarily in mixed languages. Engine surfaced 25 findings — concentrated in security (12), quality (9), hardware (2). Risk profile is high: 1 critical, 3 high, 13 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 1 of 24 actionable findings. 25 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

critical System graph security Secrets conf 1.00 Runtime dotenv file present in repo: .env.swarm

`.env.swarm` looks like a runtime dotenv file. It contains secret-looking assignments for NEUROERP_PASS. Move real values to a secret manager and keep only `.env.example` style templates in source control.

.env.swarm ConfigEnv fileRuntime env

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