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Informational 19 Monero

refactor notifications setup so we can add sib notifs

Public commit record

What the developer wrote

Authored by Julian

50/100 · Thin
refactor notifications setup so we can add sib notifs
✓ Specific, descriptive subject✓ Names a concrete action or component! No meaningful explanatory body
The short version

What changed, and why it matters

This commit is a feature refactor that adds a new in-app notification system for ShopInBit support tickets. It introduces a local database table for notifications, merges those notifications into the existing notification feed, and marks tickets/notifications as read when the user views them. There is no clear security vulnerability in the diff, but the change touches notification plumbing and local database migrations, so it carries normal implementation risk.

Recommended action

Treat as a normal feature refactor. Review the migration path for users upgrading from schema version 1 (the `if (from < 2)` branch now creates three tables and two indexes, which is correct but should be tested). Verify that `markTicketRead` clamps `readAt` upward to `lastAgentMessageAt` as intended and that `viewingTicketId` visibility checks prevent spurious OS notifications without suppressing legitimate ones. No security patch or incident response is indicated by the supplied materials.

Security signals we found

01

New local database table for notifications with scope/target indexing

02

Database schema migration from version 2 to 3

03

Notification read-state now derived from comparing server-provided `lastAgentMessageAt` with local `lastReadAt`

04

OS notification id allocation race fixed by returning id synchronously before async persist

05

Visibility-aware suppression of OS banners when user is currently viewing the relevant ticket

06

No input validation, crypto, network trust, or permission changes visible in the supplied diff

Risk score

Why this scored 19/100

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

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