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Low 31 Bitcoin

routing: allow misson control manager to startup despite errors

Public commit record

What the developer wrote

Authored by ziggie

73/100 · Adequate
routing: allow misson control manager to startup despite errors

We now allow the mission control manager to skip over deserializable
errors. We cannot repair this these results but we just skip over
it so we can startup properly.

When fetchAll() encounters entries that fail to deserialize, in
addition to skipping them, now also:

- Delete the corrupted entries from the database
- Remove them from the in-memory keysMap and keys tracking structures

This prevents corrupted entries from:
- Being counted toward maxRecords, which would cause valid entries
to be pruned prematurely
- Persisting in the database indefinitely
- Causing inaccurate entry counts in startup logs
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This change makes LND's routing memory (mission control) more resilient: if the database contains damaged or unreadable entries, the node now starts up anyway instead of crashing, and it cleans out the bad entries. The patch itself is defensive and does not introduce an obvious vulnerability, but it silently deletes data, which could hide underlying corruption or, in theory, allow a subtle attacker to manipulate routing history if they could already write corrupt records to the database.

Recommended action

Treat as a reliability/hardening patch. Review whether deserialization failures should be logged at higher severity or archived before deletion. Ensure backups of mission-control data exist so corrupted entries can be inspected offline. No immediate exploit mitigation is indicated, but monitor for any future issue where an attacker can write to the mission control store.

Security signals we found

01

Behavior change from fail-fast to skip-and-delete on data corruption

02

Silent deletion of database records that fail deserialization

03

Potential for data-loss or audit-trail gaps if corruption is attacker-induced

04

Defensive hardening against startup failure due to on-disk corruption

Risk score

Why this scored 31/100

Our methodology →
Potential impact 8/30
Exploitability 3/25
Stealth signal 4/15
Affected reach 5/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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