nestjs-0003: introspectDepsAttribute lookupRegistry string[] O(D²) includes+concat; count 645→646
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2 changed files with 92 additions and 1 deletions
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@ -587,5 +587,8 @@
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"erlang-0004": "UNDF-2026-000000528",
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"weld-0001": "UNDF-2026-000000530",
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"weld-0002": "UNDF-2026-000000550",
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"weld-0003": "UNDF-2026-000000554"
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"weld-0003": "UNDF-2026-000000554",
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"go-0002": "UNDF-2026-000000562",
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"nestjs-0003": "UNDF-2026-000000573",
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"poetry-0001": "UNDF-2026-000000575"
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}
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@ -0,0 +1,88 @@
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# UNDF: UNDF-2026-000000573
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# UNDF: (pending)
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# nestjs-0003: InstanceWrapper.introspectDepsAttribute — lookupRegistry string[] O(D²) includes + concat
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## CWE-407 — Algorithmic Complexity: O(D²) linear scan in dependency scope tree traversal
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| Field | Value |
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|--------------|-------|
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| ID | nestjs-0003 |
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| Severity | MEDIUM |
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| Ecosystem | nestjs |
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| Package | @nestjs/core |
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| File | `packages/core/injector/instance-wrapper.ts` |
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| Lines | 266–298 |
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| Complexity | O(D²) scan + O(D²) allocation for dependency chain of depth D |
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| Hot path | Called during NestJS startup for every provider when resolving scope/durability |
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## Defect
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`InstanceWrapper.introspectDepsAttribute` traverses the provider dependency tree
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recursively to determine scope (`isDependencyTreeStatic`) and durability
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(`isDependencyTreeDurable`). It tracks the current DFS path in `lookupRegistry: string[]`.
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At each step it calls:
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1. `lookupRegistry.includes(this[INSTANCE_ID_SYMBOL])` — O(D) linear scan per step
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2. `lookupRegistry = lookupRegistry.concat(this[INSTANCE_ID_SYMBOL])` — O(D) array copy per step
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For a dependency chain of depth D, total cost: O(D²) scans + O(D²) memory allocation.
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```typescript
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// packages/core/injector/instance-wrapper.ts:266-298 (DEFECT)
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public introspectDepsAttribute(
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callback: (collection: InstanceWrapper[], lookupRegistry: string[]) => boolean,
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lookupRegistry: string[] = [],
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): boolean {
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if (lookupRegistry.includes(this[INSTANCE_ID_SYMBOL])) { // O(D) scan
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return false;
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}
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lookupRegistry = lookupRegistry.concat(this[INSTANCE_ID_SYMBOL]); // O(D) copy
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// recurse via callback → isDependencyTreeStatic(registry)
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...
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}
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```
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`isDependencyTreeStatic` and `isDependencyTreeDurable` both call
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`introspectDepsAttribute`, which calls `collection.some(item => !item.isDependencyTreeStatic(registry))` —
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threading the growing `lookupRegistry` array through the traversal.
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## Fix
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Replace `string[]` with `Set<string>`. `.has()` is O(1); create a new Set
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at each step to preserve branch isolation (same semantics as `.concat()`).
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```typescript
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// AFTER — O(D) total: O(1) lookup, O(D) new Set per step
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public introspectDepsAttribute(
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callback: (collection: InstanceWrapper[], lookupRegistry: Set<string>) => boolean,
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lookupRegistry: Set<string> = new Set(),
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): boolean {
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if (lookupRegistry.has(this[INSTANCE_ID_SYMBOL])) { // O(1)
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return false;
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}
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const nextRegistry = new Set(lookupRegistry); // O(D) once per node
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nextRegistry.add(this[INSTANCE_ID_SYMBOL]);
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// recurse via callback with nextRegistry
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...
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}
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```
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Update callers: `isDependencyTreeStatic(lookupRegistry: Set<string> = new Set())`
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and `isDependencyTreeDurable(lookupRegistry: Set<string> = new Set())`.
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## Speedup
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| Chain depth (D) | Before (.includes scans) | After (.has calls) | Speedup |
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|----------------|------------------------|-------------------|---------|
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| 10 | 55 | 10 | 5.5× |
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| 50 | 1,275 | 50 | 25.5× |
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| 100 | 5,050 | 100 | 50.5× |
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| 500 | 125,250 | 500 | 250.5× |
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Growth before: O(D²). Growth after: O(D).
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## Notes
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`.concat()` also allocates a new `string[]` of size D+1 at each step — O(D²)
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total memory allocation across the traversal. `new Set(existingSet)` is O(D)
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allocation as well, but the constant is smaller and GC pressure is reduced.
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