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Low 46 Bitcoin

remove incomplete transaction entries before calculating the wallet balance and leave them out of the new transactions notification

Public commit record

What the developer wrote

Authored by Craig Raw

50/100 · Thin
remove incomplete transaction entries before calculating the wallet balance and leave them out of the new transactions notification
✓ Specific, descriptive subject✓ Names a concrete action or component! No meaningful explanatory body
The short version

What changed, and why it matters

This commit fixes a bug in the Sparrow Bitcoin wallet where the wallet could temporarily report an incorrect balance and send misleading 'new transaction' notifications. The problem happened when a transaction moving funds between two of the user's own addresses was partially known to the wallet—specifically, when the receiving side was seen before the spending side. Before this fix, the wallet would count the incoming money as new funds and notify the user, even though no actual new money had arrived. The fix delays both balance updates and notifications until the full transaction picture is available.

Recommended action

Treat this as a correctness/reliability fix rather than an exploitable vulnerability. Users and downstream integrators should upgrade to the patched version to avoid transient balance and notification inconsistencies. No immediate incident-response action is indicated unless a user has already acted on a false balance or notification. Review whether any plugins, scripts, or external systems consuming NewWalletTransactionsEvent rely on its timing, because the event now fires later and with a smaller set of transactions.

Security signals we found

01

Incorrect balance calculation from incomplete transaction state

02

Premature notification event emitted from unvalidated transaction data

03

Self-transfer / partial wallet history can produce misleading UI state

04

Fix reorders logic to validate completeness before balance and event emission

05

Regression test added for incomplete-entry exclusion behavior

Risk score

Why this scored 46/100

Our methodology →
Potential impact 12/30
Exploitability 5/25
Stealth signal 8/15
Affected reach 10/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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