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Low 41 Bitcoin

fixup! Add API methods to spend funds sent to taproot channel addresses (#3220) (#3228)

Public commit record

What the developer wrote

Authored by pm47

58/100 · Thin
fixup! Add API methods to spend funds sent to taproot channel addresses (#3220) (#3228)
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Links an issue, advisory, or supporting reference! No meaningful explanatory body
The short version

What changed, and why it matters

This is a tiny one-line bugfix in Eclair's code for spending funds sent to Lightning channel addresses. The change corrects which Bitcoin script is checked to decide whether a channel uses the newer taproot format. Previously it checked the script of the destination address the user provided; now it checks the script of the actual output being spent from the funding transaction. Using the wrong script could cause the code to choose the wrong spending path or signature scheme, potentially making it impossible to recover funds sent to a taproot channel address or, in the worst case, constructing an invalid or insecure transaction. There is no claim in the commit that this is a security issue, and the fix is a follow-up to a recently added feature, so it likely fixes a functional bug rather than an active vulnerability.

Recommended action

Treat as a routine bugfix follow-up. Review the full PR #3220/#3228 for related correctness issues in taproot channel address spending, and add regression tests that verify taproot detection uses the actual UTXO script rather than the user-provided address. No emergency response is indicated absent further evidence.

Security signals we found

01

Incorrect input used for taproot script-type detection

02

MuSig2 nonce generation depends on the corrected taproot flag

03

Potential for invalid or unspendable taproot channel recovery transactions

04

No explicit security framing by the vendor

Risk score

Why this scored 41/100

Our methodology →
Potential impact 12/30
Exploitability 8/25
Stealth signal 6/15
Affected reach 7/15
Confidence 5/10
Evidence quality 3/5
Human-validated context

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