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Moderate 57 Bitcoin

discovery: add panic recovery for serial announce signatures processing

Public commit record

What the developer wrote

Authored by Olaoluwa Osuntokun

73/100 · Adequate
discovery: add panic recovery for serial announce signatures processing

In this commit, we extend the panic recovery mechanism to cover the
serial processing path for AnnounceSignatures1 messages. Unlike other
gossip messages which are processed in parallel goroutines, announcement
signatures are processed serially in the main networkHandler loop.

A panic during this serial processing would previously crash the entire
gossiper. This change wraps the processing in an anonymous function with
a deferred panic recovery, ensuring resilience without changing the
serial processing semantics.

Since AnnounceSignatures bypass the validation barrier, we pass nil for
the jobID parameter.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This update adds a safety net around a specific message-handling path in LND's gossip subsystem. Previously, a crash while handling an AnnounceSignatures1 message could bring down the whole gossip component; now the code catches such crashes and keeps running. The change is defensive hardening rather than a fix for a known active attack.

Recommended action

Treat as routine defensive hardening. Review whether other serial message paths lack panic recovery, and monitor for any future crash reports in this code path. No immediate incident response is indicated by the commit alone.

Security signals we found

01

panic recovery added to serial message-processing path

02

prevents gossiper crash from unhandled panic in AnnounceSignatures1 handling

03

defensive hardening, no logic change to validation or state transitions

Risk score

Why this scored 57/100

Our methodology →
Potential impact 18/30
Exploitability 12/25
Stealth signal 8/15
Affected reach 10/15
Confidence 6/10
Evidence quality 3/5
Human-validated context

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