Api Key Exposure in Sqlite

Api Key Exposure in SQLite environments typically occurs through configuration files, database initialization scripts, and application code that directly embeds credentials. The most common pattern involves SQLite database files containing API keys in plaintext, often in configuration tables or schema definitions. Developers frequently store API keys in SQLite databases for local development, forgetting to remove them before production deployment.

SQLite's file-based nature makes it particularly vulnerable to API key exposure through version control systems. When SQLite database files (.db, .sqlite, .sqlite3) are committed to repositories, they often contain embedded API keys in configuration tables. These keys might be stored in tables like 'settings', 'config', or 'api_keys' with columns such as 'key', 'secret', or 'token'.

Another manifestation occurs through SQL injection vulnerabilities that allow attackers to extract API keys from SQLite databases. Since SQLite supports dynamic typing and flexible schema, developers might store API keys in unexpected locations, such as JSON columns or even as comments in SQL scripts. The lack of strict schema enforcement means API keys can be scattered across multiple tables without clear patterns.

Environment-specific SQLite databases often contain hardcoded API keys in initialization scripts. Developers create setup scripts that populate SQLite databases with default configurations, including API keys for third-party services. These scripts, when executed, write API keys directly into the database, creating persistent exposure vectors.

SQLite's WAL (Write-Ahead Logging) mode can also contribute to API key exposure. WAL files may contain remnants of API keys that were written to the database but not yet committed to the main database file. These temporary files can persist on disk and be discovered by attackers with filesystem access.

Detecting API key exposure in SQLite requires a multi-faceted approach. The first step involves scanning SQLite database files for common API key patterns using regular expressions. SQLite's command-line tool provides the '.dump' command to export database contents as SQL statements, making it easier to search for sensitive patterns.

sqlite3 mydatabase.db ".dump" | grep -E 'sk-[a-zA-Z0-9]{20,}|AKIA[0-9A-Z]{16}|AIza[0-9A-Za-z\-_]{35}|ey[A-Za-z0-9\-_]{40}'

This command dumps the entire database and searches for common API key formats including Stripe keys (sk_), AWS keys (AKIA), Google Cloud keys (AIza), and JWT tokens (ey).

For automated detection, SQLite's PRAGMA table_info command helps identify tables that might store API keys. A script can iterate through all tables and search for columns with names suggesting they contain API keys:

sqlite3 mydatabase.db "SELECT name FROM sqlite_master WHERE type='table';" | while read table; do
  sqlite3 mydatabase.db "PRAGMA table_info($table);" | grep -i -E 'key|secret|token|api'
done

SQLite-specific scanning tools can search for API keys in database files without requiring a running database instance. These tools use SQLite's file format specification to parse database files directly and search for sensitive content patterns.

middleBrick's SQLite scanning capability includes specialized checks for API key exposure patterns. The scanner examines SQLite database files for common credential storage patterns, including configuration tables, initialization scripts, and WAL files. It also checks for API keys in related files such as SQL migration scripts and database setup documentation.

Version control system integration provides another detection layer. Tools like git-secrets can be configured to scan SQLite database files for API key patterns before commits. This prevents API keys from entering version control in the first place.

Remediating API key exposure in SQLite environments requires both immediate fixes and architectural changes. The first step is removing exposed API keys from SQLite databases. This can be done using SQLite's UPDATE statement to clear sensitive columns:

sqlite3 mydatabase.db "UPDATE config SET api_key = NULL WHERE service = 'stripe';
UPDATE settings SET secret = NULL WHERE purpose = 'api';
DELETE FROM api_keys WHERE created < date('now', '-30 days');"

For production environments, API keys should never be stored in SQLite databases. Instead, use environment variables or secure secret management services. SQLite databases should only contain configuration metadata, not actual credentials.

Implement proper key rotation policies for any API keys that must be stored in databases. Use SQLite's built-in functions to track key creation and expiration dates:

CREATE TABLE api_keys (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    service TEXT NOT NULL,
    key_hash TEXT NOT NULL,
    created DATE DEFAULT CURRENT_DATE,
    expires DATE,
    enabled BOOLEAN DEFAULT 1
);

-- Store only hashed API keys
INSERT INTO api_keys (service, key_hash, expires) 
VALUES ('stripe', (''), date('now', '+30 days'));

This approach stores only hashed versions of API keys, preventing exposure even if the database is compromised. The application can verify API keys by comparing hashes rather than storing plaintext.

SQLite's ATTACH DATABASE command enables separation of concerns. Keep API keys in a separate, encrypted SQLite database that's only accessible to the application at runtime:

sqlite3 main.db "ATTACH DATABASE 'secrets.db' AS secrets KEY '';
SELECT secrets.keys.key FROM secrets.keys WHERE service = 'stripe';"

This requires the secrets.db file to be encrypted and only decrypted in memory during application runtime.

Implement database-level access controls using SQLite's user-defined functions and virtual tables. Create a secure API key access layer that validates requests before returning keys:

CREATE VIRTUAL TABLE secure_keys USING rtree(
    id, -- ID
    service, -- Left coordinate
    created, -- Right coordinate
    expires -- Height
);

-- Custom function to validate access
CREATE FUNCTION get_api_key(service TEXT, requestor TEXT) 
RETURNS TEXT AS 
BEGIN
    -- Validate requestor permissions
    IF requestor NOT IN ('app_server', 'api_gateway') THEN
        RETURN NULL;
    END IF;
    
    -- Return key only if valid
    RETURN (SELECT key_hash FROM secure_keys WHERE service = service AND expires > CURRENT_DATE);
END;

Finally, implement comprehensive logging and monitoring for API key access patterns. SQLite's triggers can log every access attempt to API keys:

CREATE TRIGGER log_api_key_access 
AFTER SELECT ON secure_keys 
FOR EACH ROW 
BEGIN
    INSERT INTO access_logs (service, accessed_at, requestor)
    VALUES (NEW.service, datetime('now'), current_user());
END;