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Informational 23 Bitcoin

Make payment-request memo names scrollable

Public commit record

What the developer wrote

Authored by benma's agent

78/100 · Adequate
Make payment-request memo names scrollable

Show the memo attribution and recipient on one scrollable line so long
authenticated recipient names remain reviewable.

Bump the firmware version to v9.27.2 and gate the updated test vectors
at that version, preserving historical transcripts. Regenerate the
canonical JSON and document the compatibility rule. Record scrollability
in the test UI and cover long SWAPKIT names.
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Mentions testing or verification
The short version

What changed, and why it matters

This firmware update changes how long merchant or recipient names are shown when approving Bitcoin payments. Instead of breaking the name across two lines, which could be cut off or hidden, the name now appears on a single line that the user can scroll through. This helps users actually see and verify long names like 'SWAPKIT (...)' during payment approval. The change is a usability and anti-spoofing improvement, not a vulnerability fix in the traditional sense, but it does close a small security gap where truncated or wrapped names might mislead a user.

Recommended action

No immediate action required. Treat as a routine firmware update improving payment-request review clarity. Users who sign payment requests with long recipient names should upgrade to v9.27.2 to benefit from the scrollable display. Developers should ensure client simulators respect the new scrollable flag and updated test-vector transcripts.

Security signals we found

01

UI truncation/spoofing risk reduced by making long authenticated recipient names reviewable

02

Test vectors version-gated to preserve historical behavior

03

New unit test covers long recipient name scrollability

04

No changes to signature verification, memory allocation, or input parsing

Risk score

Why this scored 23/100

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

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