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Informational 20 Bitcoin

refactor(bitcoin_client_js): bump bitcoinjs-lib to v7 and keep Buffer/number API via internal adapters

Public commit record

What the developer wrote

Authored by José Luis Landabaso Díaz

62/100 · Adequate
refactor(bitcoin_client_js): bump bitcoinjs-lib to v7 and keep Buffer/number API via internal adapters
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope! No meaningful explanatory body
The short version

What changed, and why it matters

This is a routine JavaScript library upgrade. The project moved its bitcoinjs-lib dependency from version 6 to version 7, which changed some internal return types from Buffer to Uint8Array and from number to bigint. The commit adds small adapter functions (like Buffer.from(...) and a bigint-to-number helper) so the rest of the code keeps working without wider rewrites. There is no direct evidence in the commit that this fixes an active security vulnerability; it reads as a compatibility/refactoring change.

Recommended action

Treat as a maintenance/refactor commit. Review the adapter functions (asBuffer, asSatoshiNumber, sha256AsBuffer) for correct handling of Uint8Array views and large satoshi values. Run the existing test suite and PSBT signing tests against a Ledger device or simulator to confirm no regressions in transaction serialization or Merkle hashing. Monitor bitcoinjs-lib v7 release notes for any security advisories, but do not assume this commit itself resolves a known vulnerability.

Security signals we found

01

Dependency upgrade of a core cryptographic library (bitcoinjs-lib v6 → v7)

02

API-adapter pattern wrapping Uint8Array/bigint returns back to Buffer/number

03

No explicit security fix, CVE reference, or vulnerability description in commit message or diff

04

Potential for subtle type-conversion bugs if adapters mishandle endianness, length, or large bigint values

Risk score

Why this scored 20/100

Our methodology →
Potential impact 3/30
Exploitability 2/25
Stealth signal 2/15
Affected reach 4/15
Confidence 6/10
Evidence quality 3/5
Human-validated context

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