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facebook/lexical

https://github.com/facebook/lexical · scanned 2026-05-16 12:50 UTC (1 day, 8 hours ago) · 10 languages

243 findings (40 legacy + 203 scanner) 16th percentile · Typescript · large (100-500K LoC) Scanner says 77 (lower by 14)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 3 days, 1 hour ago · v1 · 236 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
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 87.4 0.25 21.85
testing_score 31.0 0.20 6.20
documentation_score 60.0 0.15 9.00
practices_score 55.0 0.15 8.25
code_quality 80.0 0.10 8.00
Overall 1.00 62.3
Calibrated penalty buckets (security_score): web: 1.6 · threat: 11.0
security_score may be inflated — optional scanners skipped due to repo size/fast scan
Severity distribution — click a segment to filter
Active filters: layer: security × excluding tests × Reset all
Severity: Critical 0 High 8 Medium 15 Low 108 Source: Legacy 33 9-layer 203 Crowd 0 Layer: Quality 89 Security 6 Software 56 Api 1 Frontend 74 Cicd 10
Scan summary Repository scanned at 76.7/100 with 100.0% coverage. It contains 5112 nodes across 3 cross-layer flows, written primarily in mixed languages. Engine surfaced 203 findings — concentrated in frontend (74), quality (65), software (50). Risk profile is high: 0 critical, 1 high, 12 medium. Recommended next step: open the frontend layer findings first — that's where the highest-impact wins live.

Showing 5 of 236 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high Legacy security injection conf 1.00 [SEC006] XSS Risk: Direct HTML injection without sanitization.
Use textContent instead of innerHTML. Sanitize with DOMPurify.
examples/vanilla-js/src/main.ts:18 injectionlegacy
high Legacy security injection conf 1.00 [SEC006] XSS Risk: Direct HTML injection without sanitization.
Use textContent instead of innerHTML. Sanitize with DOMPurify.
examples/vanilla-js-plugin/src/main.ts:20 injectionlegacy
medium Legacy security injection conf 0.50 [SEC005] Command Injection Risk: Unsafe shell execution or eval of user input.
Use subprocess with shell=False and a list of args. Never eval user input.
packages/lexical-playground/src/plugins/AutoEmbedPlugin/index.tsx:180 injectionlegacy
medium 9-layer security owasp conf 1.00 Insecure pattern 'dangerous_innerhtml' in flow-typed/environments/jsx.js:857
Found a known-risky pattern (dangerous_innerhtml). Review and replace if possible.
flow-typed/environments/jsx.js:857 owaspdangerous_innerhtml
medium 9-layer security owasp conf 1.00 Insecure pattern 'dangerous_innerhtml' in packages/lexical-playground/src/nodes/ExcalidrawNode/ExcalidrawImage.tsx:134
Found a known-risky pattern (dangerous_innerhtml). Review and replace if possible.
packages/lexical-playground/src/nodes/ExcalidrawNode/ExcalidrawImage.tsx:134 owaspdangerous_innerhtml
{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
For AI agents + API integrations
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