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Informational 16 Bitcoin

input: switch to using new txscript.ScriptTemplate function

Public commit record

What the developer wrote

Authored by Olaoluwa Osuntokun

73/100 · Adequate
input: switch to using new txscript.ScriptTemplate function

In this commit, we switch to using the new txscript.ScriptTemplate
function. This allows us to write the script in plain text, using some
hidden template operations to swap in items like keys or sigs.

This reduces in less code and boiler plate over all, the code that
defines the script now reads as if it was a comment.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit is a code cleanup: it rewrites many Bitcoin script-building helpers in LND to use a new text-based template function instead of manually assembling script pieces. The scripts themselves appear unchanged in behavior; only the way they are written in source code changed. There is no indication this fixes a security bug or introduces a known vulnerability.

Recommended action

Treat as a routine refactor. Review the new txscript.ScriptTemplate implementation in the dependency to confirm it encodes opcodes and data pushes identically to the replaced builder calls, especially for variable-length data pushes and numeric encoding. Run existing script/transaction unit tests and consider adding regression tests that compare generated script bytes before and after the change.

Security signals we found

01

Large refactor of script generation code touching HTLC, commitment, anchor, and taproot scripts

02

No explicit security fix or vulnerability mention in commit message

03

Generated scripts appear functionally equivalent to prior builder-based versions

04

Relies on new external txscript.ScriptTemplate behavior; correctness depends on upstream implementation

Risk score

Why this scored 16/100

Our methodology →
Potential impact 0/30
Exploitability 0/25
Stealth signal 0/15
Affected reach 5/15
Confidence 8/10
Evidence quality 3/5
Human-validated context

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