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USE CASE / BUSINESS LOGIC

Test the logic attackers abuse, not just the payloads.

Business-logic flaws rarely trip a signature. They live in workflows, state transitions, pricing, quotas, multi-step approvals and trust assumptions unique to your product. Finding them needs reasoning about intent and context, not pattern matching.

THE PROBLEM

Signatures don't catch broken assumptions.

A workflow that lets a user skip a step, replay an action, or cross a tenant boundary is not a malformed request — it is a valid request the system should have refused. Scanners optimized for injection and misconfiguration miss these by design.

0day Factory reasons across the application, its identities and the organizational rules that are supposed to constrain it, then tests whether those rules actually hold.

WHAT IT INVESTIGATES

Where business-logic attacks live.

01

State & workflow abuse

Skipped steps, replayed actions, race conditions on approvals and out-of-order transitions.

02

Authorization gaps

IDOR, tenant-boundary crossing, privilege escalation through trusted identifiers.

03

Economic logic

Quota, pricing, discount and rate-limit assumptions that fail under adversarial use.

FAQ

Questions, answered.

Can automation really find logic bugs?

The reasoning is the point. Modern models make hypothesis generation cheap; combined with your approved context — architecture, identity, prior findings — the system can propose and safely test logic-abuse hypotheses, then keep only the ones it can prove.

KEEP READING

Prove which weaknesses can actually become attacks.

Request access and see a de-identified investigation: hypothesis, path, safe validation, evidence and re-test.