Vulnerable Components in Chi with Cockroachdb

Chi is a minimalistic routing library for Go, and when combined with CockroachDB it commonly exposes components that increase the API security risk surface. One vulnerable pattern is constructing dynamic SQL queries by string concatenation with user-controlled path parameters or query values. For example, a Chi route that captures an accountID and uses it directly in SQL without placeholders can lead to SQL Injection, which feeds into BOLA/IDOR and Input Validation checks in a middleBrick scan. A middleBrick scan would detect unparameterized queries and flag the endpoint as high risk, noting findings that map to OWASP API Top 10 A03:2023 Injection and A01:2027 Broken Object Level Authorization.

Another vulnerable component is the misuse of HTTP method overrides or header-based routing that bypasses intended authorization checks. In Chi, middleware that modifies the request context or method can inadvertently allow privilege escalation if role checks are applied after routing decisions rather than within the business logic. This can trigger BFLA/Privilege Escalation findings in a middleBrick scan, especially when endpoints expose sensitive operations without verifying ownership or scope. A realistic scenario is an update handler that accepts an accountID from the URL while relying on a header to convey tenant context, which may be spoofed.

Data exposure risks also emerge from how responses are composed in Chi handlers when CockroachDB returns sensitive fields such as internal identifiers, emails, or password hashes. If a handler serializes entire database rows into JSON without selective field masking, a middleBrick Data Exposure check can identify unnecessary data disclosure, aligning with GDPR and PCI-DSS guidance. For instance, returning a full user record including password reset tokens over unencrypted HTTP triggers findings in the Encryption and Data Exposure categories. Transport encryption (TLS) is required, but application-level field filtering is necessary to prevent overexposure.

SSRF risks appear when CockroachDB connection strings or internal service URLs are constructed from user input in Chi handlers. If an endpoint accepts a hostname or port parameter and uses it to open a database session, a middleBrick SSRF detection can identify unsafe patterns that allow lateral movement within cloud environments. This compounds risks when combined with weak Input Validation, as malformed or unexpected inputs can lead to unintended network calls. Proper validation and allowlisting are essential to reduce the attack surface presented by the Chi routing layer interacting with CockroachDB.

Finally, inventory and unsafe consumption patterns can manifest when Chi services rely on hardcoded or poorly managed database schema versions. If a Chi API serves multiple client versions and the handlers directly map request paths to CockroachDB tables without version gating, an Inventory Management finding may appear in a middleBrick scan. Unsafe Consumption is flagged when responses include implementation details such as stack traces or verbose error messages that aid reconnaissance. These findings are surfaced in the middleBrick report with severity levels and remediation guidance, helping teams prioritize fixes without requiring a full pentest engagement.

To mitigate SQL Injection and BOLA/IDOR issues in Chi, use parameterized queries with the pgx driver and bind values via pgx.NamedArgs or placeholders. Avoid interpolating path parameters directly into SQL strings. The following example shows a secure Chi route that retrieves an account by ID with proper context-based authorization and typed query parameters:

import (
    "context"
    "net/http"
    "github.com/go-chi/chi/v5"
    "github.com/jackc/pgx/v5/pgxpool"
)

func GetAccountHandler(pool *pgxpool.Pool) http.HandlerFunc {
    return func(w http.ResponseWriter, r *http.Request) {
        accountID := chi.URLParam(r, "accountID")
        // Enforce authorization before querying
        userID := r.Context().Value("userID").(string)
        if !userCanAccessAccount(r.Context(), userID, accountID) {
            http.Error(w, "forbidden", http.StatusForbidden)
            return
        }
        var account Account
        err := pool.QueryRow(r.Context(),
            "SELECT id, name, email FROM accounts WHERE id = $1 AND tenant_id = $2",
            accountID, userID).Scan(&account.ID, &account.Name, &account.Email)
        if err != nil {
            http.Error(w, "not found", http.StatusNotFound)
            return
        }
        // Return only necessary fields
        WriteJSON(w, http.StatusOK, map[string]string{
            "id":   account.ID,
            "name": account.Name,
            "email": account.Email,
        })
    }
}

To address privilege escalation, apply role checks within handlers and avoid relying on middleware alone to enforce permissions. Use Chi middleware to extract identity and store it in context, but validate permissions inside each handler or via a dedicated authorization layer. For example:

func RequirePermission(perm string) func(http.Handler) http.Handler {
    return func(next http.Handler) http.Handler {
        return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
            claims := r.Context().Value("claims").(Claims)
            if !claims.HasPermission(perm) {
                http.Error(w, "insufficient permissions", http.StatusForbidden)
                return
            }
            next.ServeHTTP(w, r)
        })
    }
}

To prevent Data Exposure, serialize only required fields and avoid exposing internal IDs or timestamps. Use explicit structs for JSON responses rather than selecting all columns into map[string]interface{}. For encryption, enforce HTTPS at the load balancer or middleware, and never return sensitive fields over insecure channels. A middleBrick scan can validate these controls through its Encryption and Data Exposure checks.

For SSRF prevention, validate and allowlist hostnames or IPs when constructing CockroachDB connection parameters. Do not pass user input directly into connection strings. Instead, map logical service names to predefined endpoints:

func GetDBPool(ctx context.Context, cluster string) (*pgxpool.Pool, error) {
    allowed := map[string]string{
        "analytics": "postgres://analytics.internal:26257?sslmode=require",
        "payments":  "postgres://payments.internal:26257?sslmode=require",
    }
    connStr, ok := allowed[cluster]
    if !ok {
        return nil, fmt.Errorf("invalid cluster")
    }
    return pgxpool.New(ctx, connStr)
}

To align with compliance frameworks, implement field-level filtering and audit logging. Use middleBrick’s findings to iteratively tighten validation and response composition, ensuring mappings to OWASP API Top 10 and relevant regulatory controls. The combination of precise routing, strict parameterization, and selective data exposure reduces the likelihood of detection as a high-risk endpoint in automated scans.