🛡️ Sentinel: secure high-fidelity rewards data export#247
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This commit hardens the L10 Token Engine service by: - Integrating helmet() middleware for standard security headers. - Implementing authenticateToken middleware to enforce JWT-based security. - Securing the /data/training/rewards endpoint with both authentication and authorization checks. - Preventing unverified global data enumeration by restricting access to administrative tokens (those without a fleet_id). - Ensuring the service fails securely if JWT_SECRET is not configured. Co-authored-by: dcplatforms <10982057+dcplatforms@users.noreply.github.com>
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🚨 Severity: MEDIUM
💡 Vulnerability: The
GET /data/training/rewardsendpoint in the Token Engine service was public and lacked authorization checks, allowing unauthenticated users to export global high-fidelity reward logs.🎯 Impact: An attacker could enumerate platform-wide reward data, potentially gaining insights into regional market performance and driver behavioral patterns across all fleets.
🔧 Fix: Integrated
helmetfor baseline security headers, implemented JWT authentication, and added a specific authorization gate that rejects tokens containing afleet_id, ensuring only system/admin-level access to global training datasets.✅ Verification: Verified via
services/10-token-engine/tests/security_hardening.test.jswhich confirms 401/403 responses for unauthorized requests and correct helmet header delivery. Passed the full service test suite (22 tests).PR created automatically by Jules for task 2408809007711981490 started by @dcplatforms