facebook/lexical

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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)

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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.

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100.0% cov · 203 gaps

{# ── 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 Â· 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: excluding tests × Reset all

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 25 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).

12 matching findings on this repo

medium Public web service has no security.txt .well-known/security.txt
low robots.txt does not advertise a sitemap examples/extension-sveltekit-ssr-hydration/static…
low Public web app has no humans.txt humans.txt
low Public docs site has no llms.txt llms.txt
low Public web app has no sitemap sitemap.xml
low Duplicated implementation block across source files packages/lexical/src/extension-core/index.ts:23
low Duplicated implementation block across source files packages/lexical/src/LexicalEditorState.ts:47
low Duplicated implementation block across source files packages/lexical-react/src/shared/LexicalMenu.tsx:237
low Duplicated implementation block across source files packages/lexical-react/src/shared/LexicalMenu.tsx:127
low Duplicated implementation block across source files packages/lexical-react/src/LexicalRichTextPlugin.…:11
low Duplicated implementation block across source files packages/lexical-react/src/LexicalMarkdownShortcu…:12
low Duplicated implementation block across source files packages/lexical-react/src/LexicalHorizontalRuleP…:17

View all fragile runtime findings →

Commented-out code 41 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

12 matching findings on this repo

info Commented-code block (39 lines) in packages/lexical-tailwind/src/index.ts:36
info Commented-code block (6 lines) in packages/lexical-utils/src/__tests__/unit/Lex…
info Commented-code block (5 lines) in packages/lexical-rich-text/src/__tests__/unit…
info Commented-code block (21 lines) in packages/lexical-selection/src/__tests__/uni…
info Commented-code block (5 lines) in packages/lexical-code-prism/src/__tests__/uni…
info Commented-code block (7 lines) in packages/lexical-react/src/__tests__/unit/Lex…
info Commented-code block (7 lines) in packages/lexical-react/src/__tests__/unit/Col…
info Commented-code block (5 lines) in packages/lexical-clipboard/src/clipboard.ts:3…
info Commented-code block (5 lines) in packages/lexical-markdown/src/MarkdownExport.…
info Commented-code block (5 lines) in packages/lexical-markdown/src/MarkdownShortcu…
info Commented-code block (5 lines) in packages/lexical-markdown/src/__tests__/unit/…
info Commented-code block (11 lines) in packages/lexical-devtools/wxt.config.ts:65

View all commented-out code findings →

Config drift 7 findings

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.

7 matching findings on this repo

high [SEC027] XML External Entity (XXE) — Node.js xml parsers: Node.js XML parsers c… packages/lexical-playground/src/plugins/ActionsPl…:168
high [SEC027] XML External Entity (XXE) — Node.js xml parsers: Node.js XML parsers c… packages/lexical-clipboard/src/clipboard.ts:179
low File has no detected symbols: scripts/__tests__/integration/fixtures/lexical-es…
low File has no detected symbols: packages/lexical-eslint-plugin/__tests__/integrat…
low File has no detected symbols: packages/lexical-devtools/wxt.config.ts
info TODO/FIXME marker in shipping code — packages/lexical-website/docusaurus.config…
info Commented-code block (11 lines) in packages/lexical-devtools/wxt.config.ts:65

View all config drift findings →

{# ── 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.

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