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Informational 16 Monero

fix(shopinbit): migrate car research flow to API v1.0.6

Public commit record

What the developer wrote

Authored by sneurlax

77/100 · Adequate
fix(shopinbit): migrate car research flow to API v1.0.6

docs(shopinbit): tighten car research v1.0.6 comments
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope✓ Provides an explanatory body
The short version

What changed, and why it matters

This commit updates the Stack Wallet app's 'ShopinBit car research' feature to work with a newer version of the partner API (v1.0.6). It mainly changes how the app checks whether a customer has paid the car-research fee and how it finds the resulting support ticket. The old code relied on a separate 'log payment' API call that is being removed; the new code reads the payment/ticket status directly from a status endpoint. There is no obvious security bug being fixed, but the change removes a workaround where payment confirmation was partly driven by the client calling a logging endpoint.

Recommended action

Treat as a routine API-migration commit. Reviewers should verify that the new status polling correctly handles all terminal states and that removing the log-payment endpoint does not create a race condition where a paid invoice is never marked finalized. No immediate security response is indicated by the diff alone.

Security signals we found

01

Removes client-side 'log payment' call that previously triggered server-side finalization/receipt creation

02

Adds typed status model with nullable ticket IDs and defensive int parsing

03

Makes CarResearchRequest required when creating the invoice, preventing a previously optional parameter that caused a 422

04

Adds fallback by-customer ticket lookup with explicit exclusion of the receipt ticket id

05

No explicit security advisory, CVE, or researcher attribution in commit or supplied references

Risk score

Why this scored 16/100

Our methodology →
Potential impact 2/30
Exploitability 1/25
Stealth signal 1/15
Affected reach 2/15
Confidence 7/10
Evidence quality 3/5
Human-validated context

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