business-logic-vuln

Identify business logic vulnerabilities by mapping critical state transitions and analyzing where checks occur versus when actions execute. This exposes check-then-act timing windows, ordering dependencies, and cross-step authorization gaps in workflows like payments, approvals, and quotas.

A check-then-act race condition in state transitions occurs when a business validation passes but the corresponding action executes later, allowing abuse during the timing gap. This is common in couponing, inventory, and trial flows where multi-step processes lack atomic validation.

Map authorization gaps across multi-step approval workflows by tracing state transitions and cross-step validation logic. Analyzing each step reveals where object permissions or API calls lack sufficient checks, exposing vulnerabilities that allow users to bypass quotas or approvals.

Yes, you can detect state machine vulnerabilities in payment flows by mapping the workflow's state transitions. It targets multi-step processes like payments, inventory, and invites, analyzing business conditions validated at each transition to uncover ordering dependencies and authorization gaps.

The best way to analyze cross-step validation in trial flows is mapping the workflow to uncover where business conditions are validated and where check-then-act windows or authorization gaps exist. This drives targeted risk assessment and remediation for multi-step processes.

You should not rely solely on business logic vulnerability mapping when a workflow's risk depends on API parsing or input validation. If the business chain relies on object permissions or API calls, map those gaps to appropriate sub-skills instead of analyzing state transitions.