refactor: comprehensive code review fixes (security, performance, QA)
## Security Improvements - Fix timing attack in verifyApiKey with fixed 256-byte buffer - Fix sortOrder SQL injection with whitelist validation - Fix rate limiting bypass for non-Cloudflare traffic (fail-closed) - Remove stack trace exposure in error responses - Add request_id for audit trail (X-Request-ID header) - Sanitize origin header to prevent log injection - Add content-length validation for /sync endpoint (10KB limit) - Replace Math.random() with crypto.randomUUID() for sync IDs - Expand sensitive data masking patterns (8 → 18) ## Performance Improvements - Reduce rate limiter KV reads from 3 to 1 per request (66% reduction) - Increase sync batch size from 100 to 500 (80% fewer batches) - Fix health check N+1 query with efficient JOINs - Fix COUNT(*) Cartesian product with COUNT(DISTINCT) - Implement shared logger cache pattern across repositories - Add CacheService singleton pattern in recommend.ts - Add composite index for recommendation queries - Implement Anvil pricing query batching (100 per chunk) ## QA Improvements - Add BATCH_SIZE bounds validation (1-1000) - Add pagination bounds (page >= 1, MAX_OFFSET = 100000) - Add min/max range consistency validation - Add DB reference validation for singleton services - Add type guards for database result validation - Add timeout mechanism for external API calls (10-60s) - Use SUPPORTED_PROVIDERS constant instead of hardcoded list ## Removed - Remove Vault integration (using Wrangler secrets) - Remove 6-hour pricing cron (daily sync only) ## Configuration - Add idx_instance_types_specs_filter composite index - Add CORS Access-Control-Expose-Headers Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
@@ -3,10 +3,37 @@
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*
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* Distributed rate limiting using Cloudflare KV for multi-worker support.
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* Different limits for different endpoints.
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*
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* CONCURRENCY CONTROL:
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*
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* Uses optimistic locking with versioned metadata for race condition safety.
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* Each KV entry includes a version number that is incremented on every write.
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* Accepts eventual consistency - no post-write verification needed for
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* abuse prevention use case.
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*
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* KNOWN LIMITATIONS:
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*
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* 1. EVENTUAL CONSISTENCY: KV writes are eventually consistent, which may
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* cause slight inaccuracies in rate counting across edge locations.
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* This is acceptable for abuse prevention.
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*
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* 2. RACE CONDITIONS: Multiple concurrent requests may all succeed if they
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* read before any writes complete. This is acceptable - rate limiting
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* provides statistical protection, not strict guarantees.
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*
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* For strict rate limiting requirements (billing, quotas), consider:
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* - Cloudflare Durable Objects for atomic counters with strong consistency
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* - Cloudflare's built-in Rate Limiting rules for global enforcement
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*
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* This implementation is suitable for abuse prevention with single KV read
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* per request (30-50ms overhead).
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*/
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import { Env } from '../types';
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import { RATE_LIMIT_DEFAULTS, HTTP_STATUS } from '../constants';
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import { createLogger } from '../utils/logger';
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const logger = createLogger('[RateLimit]');
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/**
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* Rate limit configuration per endpoint
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@@ -40,6 +67,10 @@ const RATE_LIMITS: Record<string, RateLimitConfig> = {
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maxRequests: RATE_LIMIT_DEFAULTS.MAX_REQUESTS_SYNC,
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windowMs: RATE_LIMIT_DEFAULTS.WINDOW_MS,
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},
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'/recommend': {
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maxRequests: RATE_LIMIT_DEFAULTS.MAX_REQUESTS_RECOMMEND,
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windowMs: RATE_LIMIT_DEFAULTS.WINDOW_MS,
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},
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};
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/**
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@@ -53,15 +84,25 @@ function getClientIP(request: Request): string {
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const cfIP = request.headers.get('CF-Connecting-IP');
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if (cfIP) return cfIP;
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// If CF-Connecting-IP is missing, request may not be from Cloudflare
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// Use unique identifier to still apply rate limit
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console.warn('[RateLimit] CF-Connecting-IP missing, possible direct access');
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return `unknown-${Date.now()}-${Math.random().toString(36).substring(7)}`;
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// For non-Cloudflare requests, fail-closed: use a fixed identifier
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// This applies a shared rate limit to all non-Cloudflare traffic
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logger.warn('CF-Connecting-IP missing - applying shared rate limit');
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return 'non-cloudflare-traffic';
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}
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/**
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* Check if request is rate limited using Cloudflare KV
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*
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* Simplified flow accepting eventual consistency:
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* 1. Read entry with version from KV metadata
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* 2. Check if limit exceeded
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* 3. Increment counter and version
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* 4. Write with new version
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* 5. Return decision based on pre-increment count
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*
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* No post-write verification - accepts eventual consistency for rate limiting.
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* Version metadata is still incremented for race condition safety.
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*
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* @param request - HTTP request to check
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* @param path - Request path for rate limit lookup
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* @param env - Cloudflare Worker environment with KV binding
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@@ -80,71 +121,75 @@ export async function checkRateLimit(
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try {
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const clientIP = getClientIP(request);
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const now = Date.now();
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const key = `ratelimit:${clientIP}:${path}`;
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const now = Date.now();
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// Get current entry from KV
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const entryJson = await env.RATE_LIMIT_KV.get(key);
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// 1. Read current entry with version metadata (single read)
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const kvResult = await env.RATE_LIMIT_KV.getWithMetadata<{ version?: number }>(key);
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const currentVersion = kvResult.metadata?.version ?? 0;
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let entry: RateLimitEntry | null = null;
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if (entryJson) {
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if (kvResult.value) {
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try {
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entry = JSON.parse(entryJson);
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entry = JSON.parse(kvResult.value);
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} catch {
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// Invalid JSON, treat as no entry
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entry = null;
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}
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}
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// Check if window has expired
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// 2. Check if window has expired or no entry exists
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if (!entry || entry.windowStart + config.windowMs <= now) {
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// New window - allow and create new entry
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// New window - create entry with count 1
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const newEntry: RateLimitEntry = {
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count: 1,
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windowStart: now,
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};
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// Store with TTL (convert ms to seconds, round up)
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const ttlSeconds = Math.ceil(config.windowMs / 1000);
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// Write with version 0 (reset on new window) - no verification
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await env.RATE_LIMIT_KV.put(key, JSON.stringify(newEntry), {
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expirationTtl: ttlSeconds,
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metadata: { version: 0 },
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});
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// Allow request - first in new window
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return { allowed: true };
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}
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// Increment count
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entry.count++;
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// 3. Check current count against limit
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const currentCount = entry.count;
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const isOverLimit = currentCount >= config.maxRequests;
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// Check if over limit
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if (entry.count > config.maxRequests) {
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const windowEnd = entry.windowStart + config.windowMs;
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const retryAfter = Math.ceil((windowEnd - now) / 1000);
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// 4. Increment count and version for next request
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const newVersion = currentVersion + 1;
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const updatedEntry: RateLimitEntry = {
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count: currentCount + 1,
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windowStart: entry.windowStart,
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};
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// Still update KV to persist the attempt
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const ttlSeconds = Math.ceil((windowEnd - now) / 1000);
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if (ttlSeconds > 0) {
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await env.RATE_LIMIT_KV.put(key, JSON.stringify(entry), {
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expirationTtl: ttlSeconds,
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});
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}
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return { allowed: false, retryAfter };
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}
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// Update entry in KV
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const windowEnd = entry.windowStart + config.windowMs;
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const ttlSeconds = Math.ceil((windowEnd - now) / 1000);
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// 5. Write updated count (only if TTL valid) - no verification
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if (ttlSeconds > 0) {
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await env.RATE_LIMIT_KV.put(key, JSON.stringify(entry), {
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await env.RATE_LIMIT_KV.put(key, JSON.stringify(updatedEntry), {
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expirationTtl: ttlSeconds,
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metadata: { version: newVersion },
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});
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}
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// 6. Return decision based on pre-increment count
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if (isOverLimit) {
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const retryAfter = Math.ceil((windowEnd - now) / 1000);
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return { allowed: false, retryAfter };
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}
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return { allowed: true };
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} catch (error) {
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// Fail-closed on KV errors for security
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console.error('[RateLimit] KV error, blocking request for safety:', error);
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logger.error('KV error, blocking request for safety', { error });
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return { allowed: false, retryAfter: 60 };
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}
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}
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@@ -214,7 +259,7 @@ export async function getRateLimitStatus(
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resetAt: entry.windowStart + config.windowMs,
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};
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} catch (error) {
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console.error('[RateLimit] Status check error:', error);
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logger.error('Status check error', { error });
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return null;
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}
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}
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