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Moderate 59 Bitcoin

Type consistency in psbt_parse_rawtx, and some other hardenings

Public commit record

What the developer wrote

Authored by Salvatore Ingala

73/100 · Adequate
Type consistency in psbt_parse_rawtx, and some other hardenings

Change key_len and output_index to size_t for consistency with
other APIs, add some extra bounds checks.

Also adds:
- missing return value check on parser_consolidate_buffers
- reject trailing data during parsing
- zero txid_parser_outputs_t before starting parsing
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit hardens a Bitcoin transaction parser in Ledger's app. It changes some numeric fields to safer types, adds bounds checks on transaction counts and sizes, rejects extra trailing bytes after a transaction, checks a previously-ignored internal buffer operation, and zeroes out result memory before use. These are defensive fixes that could prevent memory corruption, incorrect parsing, or information leakage, but the commit does not describe a specific active exploit.

Recommended action

Treat as a security hardening patch. Review whether any prior firmware version without these checks could be exposed to malformed PSBTs or non-witness UTXO data; consider a security advisory if a concrete vulnerability (e.g., parser state confusion or information leak) can be demonstrated. Otherwise, include in normal release notes as defensive hardening.

Security signals we found

01

Integer type narrowing and sentinel change from -1 to SIZE_MAX

02

Bounds checks before uint64_t to unsigned int casts

03

Return value of parser_consolidate_buffers now checked

04

Trailing data after parsed transaction now rejected

05

Output structure zero-initialized before parsing

06

Static linkage added to internal step-count constants

Risk score

Why this scored 59/100

Our methodology →
Potential impact 18/30
Exploitability 12/25
Stealth signal 8/15
Affected reach 10/15
Confidence 7/10
Evidence quality 4/5
Human-validated context

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