Api Key Exposure in Adonisjs with Oracle Db

AdonisJS applications that integrate with Oracle Database can inadvertently expose API keys through insecure handling of configuration and query logging. When API keys are stored in environment files and then bound into dynamic SQL strings using concatenation or naive interpolation, the keys may appear in logs, error messages, or diagnostic outputs that include full SQL statements. Oracle Database drivers for Node.js, such as oracledb, often emit detailed query logs when debug mode is enabled, and these logs can capture the exact SQL text sent to the server. If an API key is embedded in a query string rather than bound as a parameter, the full statement may be recorded in application logs, terminal output, or centralized logging systems, creating a data exposure risk.

The risk is compounded when the application uses dynamic table or schema names, because these identifiers cannot be parameterized in Oracle SQL and are typically concatenated into the query string. An attacker who can trigger an error or access debug endpoints may cause the application to return stack traces or logs that include the constructed SQL, revealing the embedded key. This maps to the BFLA/Privilege Escalation and Data Exposure checks in middleBrick, which flag unauthenticated endpoints that leak sensitive data in responses or logs. The combination of AdonisJS’s configuration patterns and Oracle’s verbose driver logging increases the likelihood that an API key moves from a protected environment variable into a retrievable artifact.

middleBrick’s unauthenticated scan can detect these exposure patterns by analyzing the OpenAPI specification and runtime behavior, identifying endpoints that construct SQL with inline values and lack strict input validation or output encoding. The LLM/AI Security checks further probe whether debug or error handling pathways could be abused to extract sensitive strings. Remediation focuses on ensuring that sensitive values are never interpolated into SQL text and that logging is configured to exclude or mask secrets, reducing the data exposure surface across the API surface.

To prevent API key exposure when using Oracle Database with AdonisJS, always use bind variables for values and avoid concatenating sensitive strings into SQL statements. The oracledb driver supports named and positional bind parameters, which ensure that sensitive data is sent separately from the query structure and is less likely to be captured in logs.

Example: Safe parameterized query with bind values

const oracledb = require('oracledb');

async function getUserById(pool, userId) {
  let connection;
  try {
    connection = await pool.getConnection();
    const result = await connection.execute(
      `SELECT id, email, api_key_metadata FROM users WHERE id = :userId`, 
      { userId: userId } 
    );
    return result.rows;
  } finally {
    if (connection) {
      try { await connection.close(); } catch (err) { /* ignore */ }
    }
  }
}

Example: Avoiding interpolation of sensitive configuration

Never construct queries by concatenating environment variables or configuration values that may contain API keys. Instead, reference them indirectly or omit them from queries entirely.

// Unsafe: embeds key in SQL string
// const sql = `SELECT * FROM api_clients WHERE api_key = '${process.env.API_KEY}'`;

// Safe: key is not part of the query; use metadata or mapping tables
const sql = `SELECT client_id, name FROM api_clients WHERE client_id = :clientId`;
const result = await connection.execute(sql, { clientId: req.params.id });

Example: Configure logging to exclude sensitive data

Ensure that Oracle driver and application logging do not capture full SQL text with embedded values. Use parameterized queries and validate that debug options are disabled in production.

const oracledb = require('oracledb');

oracledb.outFormat = oracledb.OUT_FORMAT_OBJECT; // Reduce verbose logging
oracledb.autoCommit = true;

const pool = await oracledb.createPool({
  user: process.env.DB_USER,
  password: process.env.DB_PASSWORD,
  connectString: process.env.DB_CONNECT_STRING,
  poolMax: 10,
  // Avoid enabling extra debug flags that log full statement text with binds
});

Example: Handling errors without exposing stack traces

Ensure error handlers do not return raw SQL or bind values in responses. Sanitize error output and log securely without sensitive context.

app.use(async (err, ctx, next) => {
  ctx.status = err.status || 500;
  ctx.body = { error: 'Internal server error' };
  // Log securely without including SQL or bind values that may contain keys
  console.error('Database error occurred', { timestamp: new Date().toISOString(), path: ctx.path });
});

Compliance and schema considerations

When designing tables that reference API keys, store only metadata or references, not the raw keys themselves. Use Oracle’s secure features such as wallet or credential stores where appropriate, and ensure that queries comply with frameworks like OWASP API Top 10 and relevant mappings checked by middleBrick’s compliance reports.