⚡ Bolt: Document Risk of Unauthorized Parallel DB Reads#129
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Co-authored-by: aicoder2009 <127642633+aicoder2009@users.noreply.github.com>
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Pull request overview
Adds an architectural note to .jules/bolt.md documenting a backend constraint: avoid parallelizing authorization checks with potentially expensive/unscoped data reads in API routes to prevent unauthorized resource exhaustion.
Changes:
- Documented a risk pattern where
Promise.allcan trigger heavy DB reads before access is confirmed. - Documented a recommended “authorize first, then fetch” sequencing guideline for backend API routes.
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| ## 2024-05-19 - [Unauthorized Parallel Database Reads in API Routes] | ||
| **Learning:** While `Promise.all` is excellent for parallelizing data fetching on the frontend, using it to concurrently fetch authorization validation data (e.g. `getList(userId, listId)`) alongside un-scoped child data (e.g. `getListCitations(listId)`) in backend API routes is a severe anti-pattern. This approach executes potentially heavy queries for data *before* confirming the user actually has access to it, creating a vulnerability to Resource Exhaustion/DoS if a malicious actor supplies valid IDs belonging to other users. | ||
| **Action:** In API routes, authorization and parent validation queries must be executed sequentially *before* executing queries for child entities, even if it introduces a sequential "waterfall". Never parallelize access checks with data retrieval. |
| **Action:** Always leverage the existing owner's ID within `shareLink` to bypass sequential dependencies and fetch parent entities (like projects) concurrently with their child elements (like user lists) using `Promise.all`. | ||
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| ## 2024-05-19 - [Unauthorized Parallel Database Reads in API Routes] | ||
| **Learning:** While `Promise.all` is excellent for parallelizing data fetching on the frontend, using it to concurrently fetch authorization validation data (e.g. `getList(userId, listId)`) alongside un-scoped child data (e.g. `getListCitations(listId)`) in backend API routes is a severe anti-pattern. This approach executes potentially heavy queries for data *before* confirming the user actually has access to it, creating a vulnerability to Resource Exhaustion/DoS if a malicious actor supplies valid IDs belonging to other users. |
💡 What: Added documentation in
.jules/bolt.mdto establish an architectural constraint regarding parallel fetching in backend API routes.🎯 Why: Attempting to optimize
GET,PUT, andDELETEhandlers by concurrently fetching authorization rules and requested data introduced a security issue (authorization bypassing).📊 Impact: Prevents Resource Exhaustion / Denial of Service vulnerabilities related to unauthorized requests. Keeps the sequential "waterfall" explicitly documented as intentional.
🔬 Measurement: Verify changes in the
.jules/bolt.mddocumentation file.PR created automatically by Jules for task 346111088089934918 started by @aicoder2009