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Low 29 Monero

fix(shopinbit): retry 429s with backoff at the request chokepoint

Public commit record

What the developer wrote

Authored by sneurlax

85/100 · Strong
fix(shopinbit): retry 429s with backoff at the request chokepoint

All ShopinBit requests funnel through _send, which treated 429 like any other error and let callers re-fire immediately. Add 429-aware retry there: respect a server Retry-After when present, else exponential backoff with jitter, capped at 30s. Widen the http Response to carry headers so Retry-After is readable.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit fixes a reliability issue in the Stack Wallet app's integration with ShopinBit. Previously, when the ShopinBit server was overwhelmed and returned a '429 Too Many Requests' error, the app would immediately give up and let the caller retry right away, potentially hammering the server even harder. Now, the app automatically waits and retries up to three times, respecting the server's 'Retry-After' instruction or using a sensible backoff delay. This is a defensive improvement that reduces accidental denial-of-service behavior and improves request success rates under load.

Recommended action

No immediate action required; this is a defensive hardening patch. Reviewers may want to verify that the 3-retry/30s-cap policy aligns with ShopinBit API terms, and confirm that callers above `_send` do not implement their own uncoordinated retry loops that could reintroduce thundering-herd behavior.

Security signals we found

01

Adds rate-limit retry/backoff at centralized API client chokepoint

02

Exposes HTTP response headers to enable Retry-After parsing

03

Caps maximum backoff and retry count to prevent unbounded delays

04

Uses jittered exponential backoff to avoid thundering-herd retries

05

Treats negative or malformed Retry-After values defensively

Risk score

Why this scored 29/100

Our methodology →
Potential impact 5/30
Exploitability 4/25
Stealth signal 3/15
Affected reach 6/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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