Detecting Authorization Regressions in Pull Requests

How to catch broken permission checks before they reach production. Authorization bypass patterns AI review detects automatically.

Authorization bugs are insidious: code reviews often miss them because they require understanding the entire permission model, not just reading the changed lines.

Pattern 1: Missing Permission Check

A function should verify that the user has permission before executing an action. If the permission check is deleted or commented out, it's a serious vulnerability.

AI detection: Looks for deleted permission checks, changes that reduce authorization scope, or removed security decorators.

Pattern 2: Hardcoded Bypass

A developer adds a condition like "if (user.id == 123) { return success }" to bypass auth for testing, then forgets to remove it.

AI detection: Scans for hardcoded user IDs, comments mentioning bypass, or conditional auth logic.

Pattern 3: Elevated Privileges

A function runs with higher privileges than necessary (running as admin when user permission would suffice).

AI detection: Compares privilege levels before/after the PR, flags unnecessary elevation.

Pattern 4: Unvalidated User Input in Auth Logic

Auth logic uses unsanitized user input (e.g., "if (request.role == userRole")). An attacker can manipulate the role.

AI detection: Identifies where auth decisions depend on user-controlled input without validation.

Best Practice

Pair AI review with human security review for auth changes. AI catches patterns; humans catch logic flows.