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Low 27 Monero

implement optional import of flutter_libsparkmobile

Public commit record

What the developer wrote

Authored by julian

50/100 · Thin
implement optional import of flutter_libsparkmobile
✓ Specific, descriptive subject✓ Names a concrete action or component! No meaningful explanatory body
The short version

What changed, and why it matters

This commit refactors how the Stack Wallet app uses the Firo Spark cryptography library. Instead of directly importing flutter_libsparkmobile everywhere, it introduces a generated interface wrapper so the library can be optionally included or excluded at build time. Most of the diff is code reformatting and replacing direct library calls with calls through the new wrapper. There is no obvious security bug in the diff itself, but the change touches sensitive wallet code (address generation, transaction signing, coin identification, fee estimation) and the generated template has placeholder error paths when Firo is not enabled.

Recommended action

Reviewers should verify that the generated wrapper faithfully forwards all parameters and return values to flutter_libsparkmobile without mutation, that the stub fallback cannot be reached in production builds, and that the moved logging bridge does not drop or misclassify security-relevant Spark library errors. Because the diff is dominated by formatting changes, a side-by-side functional-only comparison is recommended.

Security signals we found

01

Refactor of cryptographic library integration for Firo Spark (address generation, transaction creation, fee estimation, coin identification/recovery, tag hashing)

02

Introduction of build-time conditional implementation via code generation template with stub fallback that throws exceptions

03

Removal of direct flutter_libsparkmobile imports from wallet core and UI files; routing through generated interface

04

Logging bridge for Spark library logs moved into generated template

05

Large formatting-only changes make functional diffs harder to review

Risk score

Why this scored 27/100

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

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