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Informational 23 Bitcoin

onionmessage: add BFS pathfinding for onion messages

Public commit record

What the developer wrote

Authored by Abdullahi Yunus

95/100 · Strong
onionmessage: add BFS pathfinding for onion messages

In this commit we add FindPath, a BFS-based shsortest-path
algorithm that finds routes through the channel graph for
onion messages. The search filters nodes by the
OnionMessage feature bits (38/39).

We also add a unit tests covering: direct neighbor routing,
multi-hop paths, feature-bit filtering, missing destination
nodes, destination without onion support, max hop limits,
cycle handling, and shortest-path selection.
choice of BFS is because there isn't any weight involve.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Explains rationale or failure mode✓ Mentions testing or verification
The short version

What changed, and why it matters

This commit adds a new pathfinding feature for onion messages in the Lightning Network Daemon (LND). It is a routine feature addition: it finds the shortest route through nodes that support a specific messaging capability. There is no direct evidence in the commit that it fixes a security vulnerability; it appears to be new functionality with tests.

Recommended action

No immediate security action required. Review as normal feature code; ensure maxHops and feature-bit checks are enforced consistently when this helper is later integrated into message sending logic.

Security signals we found

01

New feature implementation, not a patch for a known vulnerability

02

BFS pathfinding with feature-bit filtering and hop limits

03

Context cancellation propagated; non-fatal feature-fetch errors logged and skipped

04

Cycle handling via visited map

05

No input from external security researchers or CVE references in commit materials

Risk score

Why this scored 23/100

Our methodology →
Potential impact 2/30
Exploitability 2/25
Stealth signal 3/15
Affected reach 4/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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