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Microsoft365DSC/Microsoft365DSC

https://github.com/Microsoft365DSC/Microsoft365DSC.git · scanned 2026-05-19 12:21 UTC (2 weeks, 3 days ago) · 10 languages

51 findings (8 legacy + 43 scanner) 8/10 scanners ran 51st percentile · Typescript · small (2-20K LoC) Scanner says 78 (lower by 14)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 3 days ago · v2 · 51 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
77.4
/100
Repobility
77
8 legacy
9-layer
78
88.9% cov · 43 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 65.0 0.15 9.75
security_score 100.0 0.25 25.00
testing_score 20.0 0.20 4.00
documentation_score 61.0 0.15 9.15
practices_score 58.0 0.15 8.70
code_quality 80.0 0.10 8.00
Overall 1.00 64.6
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 2 Medium 13 Low 31 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 8 9-layer 43 Crowd 0 Layer: Quality 10 Software 16 Api 1 Security 1 Cicd 23

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 8 findings
What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.
Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.
How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.
Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).
8 matching findings on this repo
  • low Duplicated implementation block across source files src/Microsoft365DSC.Intune/SettingInstanceTemplat…:103
  • info [MINED051] Csharp Null Forgive: x! tells compiler "definitely not null" — bypas… src/Microsoft365DSC.Converter/ComplexObjectConver…:367
  • info [MINED051] Csharp Null Forgive: x! tells compiler "definitely not null" — bypas… src/Microsoft365DSC.Compare/ResourceComparer.cs:128
  • info [MINED051] Csharp Null Forgive: x! tells compiler "definitely not null" — bypas… src/Microsoft365DSC.Compare/IntunePolicyAssignmen…:57
  • info [MINED052] Ts Any Typed: : any used as type annotation. Defeats TypeScript type… generator/src/models/ScriptParameter.ts:3
  • info [MINED045] Ts Non Null Assertion: x! asserts not null - bypasses null checks - … generator/src/components/SideNavigation/SideNavig…:33
  • info [MINED045] Ts Non Null Assertion: x! asserts not null - bypasses null checks - … generator/src/components/GeneratorOptions/Generat…:29
  • medium `fetch()` without try/.catch or AbortSignal — generator/src/pages/GeneratorPage…
View all fragile runtime findings →
Config drift 1 finding
What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.
Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.
How AI causes it: AI writes new config from memory rather than reading the existing source.
Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.
1 matching finding on this repo
  • low File has no detected symbols: generator/vite.config.ts
View all config drift findings →
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