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Informational 23 Monero

fix: Already Known Error (#2606)

Public commit record

What the developer wrote

Authored by David Adegoke

88/100 · Strong
fix: Already Known Error (#2606)

* fix: Already made error and update transactions two seconds after successful send for evm, tron and sol

* feat: Add updateTransactionsHistory method on WalletBase to handle transaction update immediately after sending

* Update lib/view_model/send/send_view_model.dart [skip ci]

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Co-authored-by: Omar Hatem <omarh.ismail1@gmail.com>
✓ Descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope✓ Provides detailed explanatory context✓ Links an issue, advisory, or supporting reference
The short version

What changed, and why it matters

This commit fixes a user-facing bug where sending cryptocurrency through EVM chains (Ethereum, Polygon, Base), Solana, or Tron could produce an 'Already Known' error or fail to show the new transaction promptly. It adds a new method to refresh transaction history and calls it a few seconds after a successful send. The code also includes unrelated formatting cleanups and a small refactor of how EVM wallet types are detected. There is no direct evidence in the commit of a security vulnerability being patched.

Recommended action

Treat as a routine bug-fix/UX improvement. Review in normal development workflow; no urgent security response required based on this commit alone. If the 'Already Known' error had security implications (e.g., transaction replay or fee manipulation), additional vendor or incident references would be needed to justify a security classification.

Security signals we found

01

No security-relevant keywords in commit title or message

02

No changes to cryptography, key handling, authentication, or authorization

03

No input validation or boundary checks added

04

Adds delayed async transaction-history refresh after send

05

Refactors EVM wallet-type detection helper

06

No vendor security disclosure or CVE references present

Risk score

Why this scored 23/100

Our methodology →
Potential impact 4/30
Exploitability 3/25
Stealth signal 2/15
Affected reach 5/15
Confidence 6/10
Evidence quality 3/5
Human-validated context

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