Technical Discovery Report - Illustrative Sample

Executive Summary

Acme Booking appears to have a serious authorization risk that may expose another tenant's booking data. Confirm tenant authorization and access boundaries before cleanup or feature work proceeds.

This fictional report separates severity, evidence, confidence, effort, and unknowns. It is an assessment summary with recommended next steps, not a certification or a promise that the app is safe to release.

Findings - Ranked by Risk

Each finding records severity, evidence, confidence, effort, and any unknown that must be resolved before a recommendation can be trusted.

• HIGH severity / MEDIUM effort - Authorization is checked only on the client. Evidence: a protected route lacks a server-side tenant check. Confidence: medium until the deployed route and data model are confirmed. Effort: investigate and repair. Unknown: whether cross-tenant reads have occurred. First action: contain access and escalate any confirmed exposure.
• HIGH severity / UNKNOWN effort - A compromised or mis-scoped secret could permit access outside the intended tenant boundary. Evidence: the fictional review has not inspected the production secret store. Confidence: low. Effort and scope remain unknown until access is authorized.
• MEDIUM severity / LOW effort - Environment variables are undocumented and unvalidated. Evidence: startup configuration has no visible validation. Confidence: high. Effort: add validation and a documented template.
• MEDIUM severity / MEDIUM effort - Booking logic is duplicated across three files. Evidence: the same transition is implemented in separate modules. Confidence: medium. Effort: consolidate with focused tests.
• LOW severity / LOW effort - Lint and type errors are ignored in CI. Evidence: checks are advisory in the sample pipeline. Confidence: high. Effort: make the checks blocking after the authorization review.

Architecture Assessment

Data flow is mostly server-rendered, but the review cannot treat that as evidence of safe authorization. Authorization decisions must be enforced and tested at the server boundary for each tenant-sensitive operation.

Nothing in this fictional sample proves that re-platforming is needed. The next decision depends on authorized code and data review, containment findings, and reproducible tests.

Recommended Plan

Start by containing and escalating any confirmed authorization or secret exposure. Then scope the smallest repair that can be tested safely, use synthetic tenants for regression coverage, and verify the result before changing production behavior.

• Containment: restrict affected access, preserve evidence, and escalate confirmed exposure before cleanup.
• Repair: define the authorized code and data changes after the investigation confirms scope.
• Regression: exercise synthetic tenants and the critical booking path before release.
• Verification: recheck the deployed behavior, rollback path, and remaining unknowns.

Assessment Summary and Recommended Next Steps

A real assessment uses direct codebase evidence and records what was reviewed, what remains unknown, and which next actions reduce risk. An automated check can support the review, but it is not release approval or a certification.

The goal of this report is a decision-ready next step: contain urgent risk, authorize the right investigation, and separate repair work from later reliability improvements.