Insecure Design in Cockroachdb
How Insecure Design Manifests in Cockroachdb
Insecure design in Cockroachdb often stems from improper privilege separation and excessive data exposure in multi-tenant environments. A common pattern occurs when applications use a single database connection with admin privileges for all operations, exposing the entire schema to potential attackers.
Consider this vulnerable pattern:
db, err := sql.Open("cockroachdb",
"postgresql://admin:password@localhost:26257/defaultdb?sslmode=disable")The admin user has unrestricted access to all tables, including system catalogs. An attacker who compromises this connection can:
- Query system.namespace to enumerate all databases and tables
- Access crdb_internal tables to extract sensitive metadata
- Traverse the entire schema without proper authorization checks
SELECT * FROM system.namespace WHERE name = 'sensitive_data'Another insecure design manifests in improper row-level security (RLS) configuration. Cockroachdb's RLS policies must be carefully crafted to prevent unauthorized data access:
-- INSECURE: Overly permissive policy
CREATE POLICY user_access ON users
FOR SELECT USING (true); -- Allows ANY user to select ANY rowWithout proper RLS policies, users can bypass application-level authorization entirely. An attacker can directly query tables to extract data they shouldn't access, bypassing all business logic controls.
Cross-tenant data leakage represents another critical insecure design pattern. In multi-tenant applications, improper schema design can allow tenants to access each other's data:
-- INSECURE: Missing tenant isolation
CREATE TABLE orders (
id UUID PRIMARY KEY,
tenant_id UUID, -- Not enforced!
customer_data JSONB
);Without proper tenant isolation enforced at the database level, malicious tenants can craft queries to extract data from other tenants, especially when application-level checks are bypassed.
Cockroachdb-Specific Detection
Detecting insecure design in Cockroachdb requires examining both configuration and runtime behavior. middleBrick's black-box scanning approach identifies these vulnerabilities without requiring database credentials.
middleBrick tests for insecure design by:
- Analyzing API endpoints that interact with Cockroachdb for improper authorization patterns
- Testing for BOLA (Broken Object Level Authorization) vulnerabilities where users can manipulate object identifiers
- Checking for excessive data exposure in API responses that map to Cockroachdb tables
For Cockroachdb-specific detection, middleBrick examines:
| Test Category | What's Tested | Cockroachdb Relevance |
|---|---|---|
| Authentication Bypass | Session fixation, missing auth checks | Tests if endpoints properly validate user permissions before database queries |
| Authorization Bypass | IDOR/BOLA vulnerabilities | Checks if object identifiers can be manipulated to access unauthorized rows |
| Data Exposure | Excessive information disclosure | Detects if sensitive Cockroachdb metadata or tenant data is exposed |
| Property Authorization | Field-level access control | Verifies if API responses properly filter Cockroachdb table columns |
Runtime detection involves monitoring for suspicious query patterns. Cockroachdb's statement diagnostics bundle can help identify insecure design:
-- Generate diagnostics to analyze query patterns
EXPLAIN ANALYZE (DEBUG) SELECT * FROM users WHERE id = $1;Look for patterns like:
- Queries missing tenant_id filters in multi-tenant schemas
- SELECT * statements exposing sensitive columns
- Missing WHERE clauses that should enforce row-level security
middleBrick's continuous monitoring (Pro plan) can automatically detect when these patterns emerge in production APIs, alerting you before exploitation occurs.
Cockroachdb-Specific Remediation
Remediating insecure design in Cockroachdb requires a defense-in-depth approach using the database's native security features.
First, implement proper role-based access control:
-- Create least-privilege roles
CREATE ROLE app_user WITH LOGIN PASSWORD 'secure_password';
GRANT SELECT, INSERT, UPDATE ON users TO app_user;
GRANT SELECT, INSERT, UPDATE ON orders TO app_user WHERE tenant_id = current_setting('app.tenant_id');Second, implement row-level security policies:
-- Secure RLS policy for multi-tenant isolation
ALTER TABLE orders ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON orders
FOR ALL TO app_user
USING (tenant_id = current_setting('app.tenant_id')::UUID);Third, use connection parameters for tenant isolation:
ctx := context.Background()
tenantID :=