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Low 34 Monero

fix: Better handle expired session and auth data for walletconnect (#3228)

Public commit record

What the developer wrote

Authored by David Adegoke

98/100 · Strong
fix: Better handle expired session and auth data for walletconnect (#3228)

* fix: Better handle expired session and auth data for walletconnect

* fix: handle dApp disconnected sessions, reflecting the state locally

* Update lib/src/screens/wallet_connect/services/walletkit_service.dart [skip ci

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Co-authored-by: Omar Hatem <omarh.ismail1@gmail.com>
✓ Specific, 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✓ Names security-relevant behavior explicitly
The short version

What changed, and why it matters

This commit fixes how Cake Wallet's WalletConnect feature handles expired or disconnected sessions. Previously, the app's local list of sessions and authentication data could become out of sync with the actual WalletConnect state, potentially leaving stale connection data around or showing outdated session information. The patch clears and refreshes these lists more reliably when sessions end, expire, or pairings are deleted, and adds retry logic for network-related event emission.

Recommended action

Review whether stale session/auth data could have led to any security-relevant behavior (e.g., reusing session topics, displaying wrong connected dApps, or missing disconnect notifications). Consider whether additional cleanup is needed for `auth` requests tied to deleted pairings. No immediate exploit is evident from the diff alone.

Security signals we found

01

State desynchronization between local MobX stores and WalletConnect engine state

02

Stale pairing topics persisted in local storage after session disconnection

03

Missing error handling in disconnect/delete flows could leave inconsistent session data

04

Retry logic added for network-dependent event emission to reduce missed session updates

Risk score

Why this scored 34/100

Our methodology →
Potential impact 8/30
Exploitability 5/25
Stealth signal 6/15
Affected reach 7/15
Confidence 5/10
Evidence quality 3/5
Human-validated context

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