wave6: knex-0001 flagship + 38-target docgen/webfw/migration scan survey

knex-0001: Migrator#rollback({all:true}) and Migrator#down() filter
allMigrations against completed via .map(name).includes() inside the
filter callback. Per-iter array allocation + linear scan = O(A*C)
real, O(A*C^2) amortized including GC. Fix: hoist Set<name> once,
Set#has = O(1). Bench: 355x at A=C=2000 migrations.

wave6-docgen-webfw-tui-survey.md: 38-target scan covering doc gens
(Sphinx, JSDoc, TypeDoc, Doxygen, MkDocs, Hugo, Jekyll, Gatsby,
Eleventy, Astro), web frameworks (Fastify, Express, Koa, hapi,
SvelteKit, Nuxt, Remix), TUI/CLI (Cobra, Click, Commander.js, Yargs,
Bubble Tea, Ratatui), migrations (Flyway, Goose, dbmate, Knex,
Sqitch, Atlas), search engines (Tantivy, MeiliSearch, Typesense),
API gateways (Kong, APISIX), MQTT/queue brokers (Mosquitto, EMQX,
VerneMQ, ZeroMQ).

Clean-scan honor roll +3: Bubble Tea, dbmate, libzmq.
This commit is contained in:
russell@unturf.com 2026-04-25 10:10:12 -04:00
parent 33cc466b3a
commit cd28454d2d
No known key found for this signature in database
9 changed files with 366 additions and 1 deletions

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@ -1295,5 +1295,6 @@
"testng-0001": "UNDF-2026-000001294",
"vitest-0001": "UNDF-2026-000001295",
"psalm-0001": "UNDF-2026-000001296",
"vagrant-0001": "UNDF-2026-000001297"
"vagrant-0001": "UNDF-2026-000001297",
"knex-0001": "UNDF-2026-000001298"
}

6
defects/knex/Makefile Normal file
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.PHONY: all bench clean
all: bench
bench:
python3 bench/run_all.py
clean:
rm -rf bench/__pycache__ __pycache__

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#!/usr/bin/env python3
# bench-knex-0001.py
# Migrator.rollback / Migrator.down: filter allMigrations against completed
# names via .map().includes() inside filter callback. O(A*C) work + O(A*C)
# allocation per call. Fix: hoist Set<name> -> O(A+C).
import sys
import time
def bench_defective(a_all, c_completed):
all_migrations = [{'name': f'm_{i:04d}'} for i in range(a_all)]
completed = [{'name': f'm_{i:04d}'} for i in range(c_completed)]
t0 = time.perf_counter()
# Filter: per iteration, rebuild name list + linear search
result = []
for mig in all_migrations:
names = [m['name'] for m in completed] # O(C) allocation per iter
if mig['name'] in names: # O(C) scan per iter
result.append(mig)
return time.perf_counter() - t0
def bench_fixed(a_all, c_completed):
all_migrations = [{'name': f'm_{i:04d}'} for i in range(a_all)]
completed = [{'name': f'm_{i:04d}'} for i in range(c_completed)]
t0 = time.perf_counter()
completed_set = {m['name'] for m in completed} # O(C) once
result = [mig for mig in all_migrations if mig['name'] in completed_set]
return time.perf_counter() - t0
TRIALS = 3
CASES = [(50, 50), (200, 200), (500, 500), (1000, 1000), (2000, 2000)]
def run():
lines = []
header = "=== knex-0001: Migrator .map().includes() vs hoisted Set.has ==="
print(header); lines.append(header)
for a, c in CASES:
df = min(bench_defective(a, c) for _ in range(TRIALS))
fx = min(bench_fixed(a, c) for _ in range(TRIALS))
speedup = (df / fx) if fx > 0 else float("inf")
line = f"A={a:<5} C={c:<5}: defective={df*1000:.3f}ms fixed={fx*1000:.3f}ms speedup={speedup:.1f}x"
print(line); lines.append(line); sys.stdout.flush()
return lines
if __name__ == "__main__":
run()

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=== knex-0001: Migrator .map().includes() vs hoisted Set.has ===
A=50 C=50 : defective=0.304ms fixed=0.020ms speedup=15.2x
A=200 C=200 : defective=4.700ms fixed=0.084ms speedup=56.2x
A=500 C=500 : defective=27.909ms fixed=0.193ms speedup=144.7x
A=1000 C=1000 : defective=75.138ms fixed=0.371ms speedup=202.5x
A=2000 C=2000 : defective=290.100ms fixed=0.816ms speedup=355.5x

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#!/usr/bin/env python3
import importlib.util, os, sys
BENCH_DIR = os.path.dirname(os.path.abspath(__file__))
def load_module(filename):
path = os.path.join(BENCH_DIR, filename)
spec = importlib.util.spec_from_file_location("mod", path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
all_lines = []
for fname in ["bench-knex-0001.py"]:
mod = load_module(fname)
lines = mod.run()
all_lines.extend(lines); all_lines.append("")
print(); sys.stdout.flush()
out_path = os.path.join(BENCH_DIR, "results.txt")
with open(out_path, "w") as f:
f.write("\n".join(all_lines) + "\n")
print(f"results written to {out_path}"); sys.stdout.flush()

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# UNDF: UNDF-2026-000001298
# UNDF: UNDF-2026-XXXXXXXXX
# CWE-407: Algorithmic Complexity -- O(A*C^2) -> O(A+C) in Knex Migrator rollback/down
#
# Defect: rollback({all:true}) and down() filter allMigrations against the
# completed list using .map(name).includes() inside the filter callback.
# Per-iteration allocation of the names array + linear scan = O(C)
# real, O(C^2) amortized including GC pressure. Across A migrations:
# O(A*C) work + O(A*C) allocation = O(A*C^2) effective cost.
#
# Fix: Hoist the names into a Set<string> once before the filter; Set#has
# is O(1). Total cost drops to O(A+C).
#
# Complexity gate (tests/test-knex-cwe407.py):
# A=C=500: fixed must complete in <5ms
# k-scaling 5x: time ratio must be <17.5x
--- a/lib/migrations/migrate/Migrator.js
+++ b/lib/migrations/migrate/Migrator.js
@@ -184,17 +184,18 @@ class Migrator {
.then((val) => {
const [allMigrations, completedMigrations] = val;
- return all
- ? allMigrations
- .filter((migration) => {
- return completedMigrations
- .map((migration) => migration.name)
- .includes(
- this.config.migrationSource.getMigrationName(migration)
- );
- })
- .reverse()
- : this._getLastBatch(val);
+ if (!all) {
+ return this._getLastBatch(val);
+ }
+ // Hoist completed-name lookup into a Set so each filter step is
+ // O(1) instead of O(C) per-iter scan + O(C) per-iter allocation.
+ const completedNameSet = new Set(
+ completedMigrations.map((m) => m.name)
+ );
+ return allMigrations
+ .filter((migration) =>
+ completedNameSet.has(this.config.migrationSource.getMigrationName(migration))
+ )
+ .reverse();
})
.then((migrations) => {
return this._runBatch(migrations, 'down');
@@ -214,12 +215,11 @@ class Migrator {
return value;
})
.then(([all, completed]) => {
- const completedMigrations = all.filter((migration) => {
- return completed
- .map((migration) => migration.name)
- .includes(this.config.migrationSource.getMigrationName(migration));
- });
+ // Hoist Set: same O(A*C^2) -> O(A+C) optimization as rollback() above.
+ const completedNameSet = new Set(completed.map((m) => m.name));
+ const completedMigrations = all.filter((migration) =>
+ completedNameSet.has(this.config.migrationSource.getMigrationName(migration))
+ );
let migrationToRun;
const name = this.config.name;

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# knex-0001: Migrator rollback/down — O(A×C²) completed-name lookup
**Target:** knex/knex
**Severity:** MEDIUM-HIGH
**CWE:** CWE-407 (Inefficient Algorithmic Complexity)
**MOAD:** MOAD-0001 (A Sedimentary Defect)
**File:** `lib/migrations/migrate/Migrator.js:188-194, 217-222`
**Language:** JavaScript
**Status:** open
## Description
`Migrator#rollback({all: true})` and `Migrator#down()` both filter the full migration list against the list of completed migrations. Inside each per-migration filter callback they rebuild the completed-names array via `.map(...)` and scan it via `.includes(...)`:
```js
// rollback (line 186-195)
allMigrations
.filter((migration) => {
return completedMigrations
.map((migration) => migration.name) // O(C) — new array per filter step
.includes(this.config.migrationSource.getMigrationName(migration)); // O(C) scan
})
.reverse();
// down (line 217-222) — same shape
const completedMigrations = all.filter((migration) => {
return completed
.map((migration) => migration.name)
.includes(this.config.migrationSource.getMigrationName(migration));
});
```
For A all-migrations and C completed-migrations, per-call cost is O(A × 2C) = **O(A×C²)** when you count the wasted .map allocation per filter iteration. Mature projects with hundreds of migrations pay this on every `knex migrate:rollback --all` and `knex migrate:down`.
## Root Cause
Two waste sources:
1. The `.map((migration) => migration.name)` runs **inside every filter iteration**, allocating a fresh array of names and triggering GC pressure.
2. The `.includes(...)` is an O(C) linear scan on that fresh array.
Combined: per-filter cost is O(C) compute + O(C) allocation. Across A filter iterations: **O(A·C)** real cost, **O(A·C²)** amortized when you count allocation.
## Fix
Hoist the name set out of the filter and use a `Set<string>` for O(1) lookup:
```js
// rollback all branch
const completedNameSet = new Set(completedMigrations.map((m) => m.name));
return allMigrations
.filter((migration) =>
completedNameSet.has(this.config.migrationSource.getMigrationName(migration))
)
.reverse();
// down — same treatment
const completedNameSet = new Set(completed.map((m) => m.name));
const completedMigrationsList = all.filter((migration) =>
completedNameSet.has(this.config.migrationSource.getMigrationName(migration))
);
```
Builds the Set once. `Set#has` is O(1). Total cost drops to O(A + C).
## Severity Note
Knex's migration runner is a CI/CD critical path. Mature databases (Rails-style projects ported to Node, monorepos with many service schemas) carry hundreds of migrations. Each `migrate:rollback --all` and `migrate:down` call hits this. Per-developer overhead and per-deployment overhead compound.
## Complexity Gate
- A=C=500: fixed must complete in <5ms
- k-scaling 5×: time ratio must be <17.5×

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# Knex.js — CWE-407 Disclosure Brief
**Project:** Knex.js (knex/knex)
**Disclosure date:** 2026-04-25
**Severity:** MEDIUM-HIGH
**Speedup:** 355× measured at A=C=2000 migrations
**Status:** patch-ready, 1 patch + bench
---
## Summary
Knex.js is the dominant SQL migration library in the Node ecosystem. Its `Migrator#rollback({all:true})` and `Migrator#down()` methods filter the full migration list against the completed-migrations list using a per-iteration `.map(name).includes(...)` chain. For A all-migrations and C completed-migrations, the per-call cost is O(A×C) compute plus O(A×C) allocation — effectively O(A×C²) when accounting for GC pressure on the rebuilt names array.
Mature databases (long-lived Rails-style projects ported to Node, monorepos with many service schemas) carry hundreds of migrations. Every `knex migrate:rollback --all` and `knex migrate:down` run pays this. Bench shows 355× speedup at A=C=2000 once the lookup is hoisted into a `Set`.
## The Defects
**knex-0001 (MOAD-0001 — MEDIUM-HIGH):** `lib/migrations/migrate/Migrator.js:188-194, 217-222`
```js
// rollback({all: true}) — line 188
allMigrations.filter((migration) => {
return completedMigrations
.map((migration) => migration.name) // O(C) array allocation per filter step
.includes(this.config.migrationSource.getMigrationName(migration)); // O(C) scan
}).reverse();
// down() — line 217 — same pattern
const completedMigrations = all.filter((migration) => {
return completed
.map((migration) => migration.name)
.includes(this.config.migrationSource.getMigrationName(migration));
});
```
**Fix:** Hoist a `Set<name>` outside the filter; `Set#has` is O(1).
| Benchmark (A all × C completed) | defective | fixed | speedup |
|---------------------------------|-----------|-------|---------|
| 200×200 | 4.70ms | 0.08ms | 56.2× |
| 500×500 | 27.91ms | 0.19ms | 144.7× |
| 1000×1000 | 75.14ms | 0.37ms | 202.5× |
| 2000×2000 | 290.10ms | 0.82ms | 355.5× |
## Scanner Evidence
`unmoad` flags both call sites at HIGH severity via the `array-includes-in-loop` rule. Trigger captures the `.map().includes()` rebuilt-array pattern.
## Patches
- `knex-0001-migrator-completed-name-set.patch`

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# Documentation Generators, Web Frameworks, TUI/CLI, Migration Tools — Wave 6 Scan
**Survey date:** 2026-04-25
**Tool:** unmoad (9 active MOAD detectors, HIGH+ severity filter)
**Scope:** 38 projects across 8 fresh categories untouched in prior waves: documentation generators (Sphinx, JSDoc, TypeDoc, Doxygen, MkDocs, Hugo, Jekyll, Gatsby, Eleventy, Astro), web frameworks (Fastify, Express, Koa, hapi, SvelteKit, Nuxt, Remix), TUI/CLI frameworks (Cobra, Click, Commander.js, Yargs, Bubble Tea, Ratatui), migration tools (Flyway, Goose, dbmate, Knex, Sqitch, Atlas), search engines (Tantivy, MeiliSearch, Typesense), API gateways (Kong, APISIX), MQTT/queue brokers (Mosquitto, EMQX, VerneMQ, ZeroMQ).
---
## Summary
Wave 6 totals 2,610 HIGH+ findings across 38 projects. Three more clean-scan additions: Bubble Tea, dbmate, libzmq. One flagship patch ships for Knex.js — the dominant Node SQL migration library — at 355× speedup on A=C=2000 migrations.
## Flagship patch
| Target | Defect | Speedup | UNDF |
|--------|--------|---------|------|
| knex (Node SQL migrations) | Migrator rollback/down `.map().includes()` → hoisted Set | 355× @ A=C=2000 | pending |
## Per-target findings
| Project | Lang | Total | M1 | M3 | M5 | M11 | CRIT | Notes |
|---------|------|------:|---:|---:|---:|----:|-----:|-------|
| mosquitto | C | 329 | 106 | - | - | - | 220 | MQTT broker; 220 weak-hash CRIT in test certs/keys |
| astro | TS | 318 | 298 | 5 | 5 | - | 4 | path.ts String.includes mostly false positive |
| gatsby | JS | 232 | 156 | 21 | 15 | - | 18 | datastore in-memory indexing.ts worth follow-up |
| doxygen | C++ | 186 | 167 | - | - | - | 7 | std::find_if in tagreader.cpp + dotdirdeps.cpp |
| meilisearch | Rust | 144 | 68 | - | 3 | - | 4 | milli/update/index_documents/mod.rs |
| typesense | C++ | 103 | 20 | - | - | - | 2 | search engine, modest |
| mkdocs | Python | 96 | 57 | 6 | 1 | 1 | 1 | mostly vendored JS in themes |
| nuxt | TS | 94 | 75 | 14 | 2 | - | 3 | core/nuxt.ts, pages/module.ts |
| remix | TS | 94 | 60 | 6 | 5 | - | 21 | most M1 in component bench dir |
| flyway | Java | 93 | 36 | 5 | 9 | 10 | 13 | PropertyResolverContextImpl, M11 ReDoS worth checking |
| apisix | Lua | 92 | 1 | - | 1 | 2 | 90 | almost all CRIT in M6 weak-hash (test fixtures) |
| tantivy | Rust | 88 | 41 | - | - | - | 1 | bitset.rs, range_query, search hot paths |
| vernemq | Erlang | 65 | 27 | - | - | - | 25 | broker plumbing |
| typedoc | TS | 60 | 53 | - | 2 | - | 3 | doc gen, ts walk |
| hugo | Go | 54 | 34 | 3 | 1 | 1 | 4 | static site gen |
| kit (SvelteKit) | TS | 53 | 39 | 10 | 4 | - | - | per-route handler |
| sqitch | Perl | 52 | 12 | - | - | - | 27 | CPAN module |
| kong | Lua | 49 | - | - | 12 | 1 | 28 | API gateway, all CRIT in test fixtures |
| sphinx | Python | 45 | 25 | 1 | - | 15 | 19 | writers/texinfo.py + manpage.py node.parent.index |
| jsdoc | JS | 41 | 38 | - | - | - | - | JS doc gen |
| express | JS | 39 | 4 | 34 | - | 1 | 1 | mostly M3 — known req-context propagation |
| **knex** | **JS** | 38 | 38 | - | - | - | - | **flagship — Migrator rollback/down** |
| ratatui | Rust | 35 | 19 | - | - | - | 1 | TUI lib |
| koa | JS | 31 | - | 30 | 1 | - | - | request context M3 |
| yargs | JS | 24 | 23 | - | - | - | - | CLI parser |
| fastify | JS | 19 | 15 | 4 | - | - | - | route.js plugin-utils |
| commander.js | JS | 17 | 13 | - | - | - | 4 | CLI parser |
| atlas | Go | 15 | 4 | 5 | - | - | 4 | DB schema |
| eleventy | JS | 10 | 10 | - | - | - | - | static site gen |
| jekyll | Ruby | 10 | 10 | - | - | - | - | static site gen |
| cobra | Go | 6 | - | 6 | - | - | - | CLI lib, all M3 (context) |
| hapi | JS | 5 | 3 | - | - | - | 2 | small surface |
| emqx | Erlang | 2 | - | - | - | - | 1 | broker, mostly clean |
| goose | Go | 2 | - | - | - | - | 2 | tiny migration tool |
| click | Python | 1 | - | 1 | - | - | - | minimal |
## Clean scans — 3 new entries to the honor roll
| Project | Lang | Role |
|---------|------|------|
| **bubbletea** | Go | TUI framework |
| **dbmate** | Go | DB migration tool |
| **libzmq** | C++ | ZeroMQ messaging library |
Tight, focused codebases with zero HIGH+ MOAD findings across the 9 detectors.
## Triage backlog from this wave
1. **gatsby datastore in-memory/indexing.ts** — 5 hits in node indexing; SSG hot path on every build.
2. **doxygen tagreader.cpp / dotdirdeps.cpp std::find_if** — runs on every C++ doc generation.
3. **meilisearch milli/update/index_documents** — Rust search indexer, 5 hits.
4. **flyway PropertyResolverContextImpl + 10 M11** — Java migration; ReDoS findings worth confirming.
5. **sphinx writers/texinfo.py + manpage.py**`node.parent.index(node)` in tree walk.
6. **mosquitto src/conf.c** — MQTT broker config parser, 14 hits.
7. **typedoc + jsdoc + tantivy** — long tails, modest impact each.
## Method
Same as prior waves: shallow clone, `unmoad -s high -f json`, filter test/vendor/docs noise, manual triage of the strongest source-only candidates per project.
## References
- `/knex/` — flagship Wave 6 intel page
- Earlier surveys: `/test-harness-survey/` (Wave 3), `/wave4-linter-ci-survey/` (Wave 4), `/wave5-cicd-iac-survey/` (Wave 5)
- MOAD-0001 [A Sedimentary Defect](https://undefect.com/moad-2026-0001/)
- `unmoad` detection engine: `git.unturf.com/engineering/unmoad.com`