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Moderate 61 Bitcoin

Fix read bug in io::decode_from_read_unbuffered_with

Public commit record

What the developer wrote

Authored by Mitchell Bagot

85/100 · Strong
Fix read bug in io::decode_from_read_unbuffered_with

In decode_from_read_unbuffered_with, the clamped buffer is pushed into
the decoder after a successful read. Some decoders do not completely
consume all provided bytes in a single push_bytes call, which can lead
to parts of the buffer being dropped. Like encoding::decode_from_hex,
the push_bytes should instead be called in a loop until the buffer is
empty, or the error case occurs.

Call push_bytes in a loop to prevent buffer bug in
io::decode_from_read_unbuffered_with.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Explains rationale or failure mode
The short version

What changed, and why it matters

This commit fixes a bug in a Rust Bitcoin library function that reads and decodes data. Previously, when reading data in chunks, the code would pass a chunk to the decoder once and then discard any leftover bytes the decoder did not fully consume. This could cause incomplete decoding, corrupted results, or unexpected failures when processing Bitcoin data streams. The fix repeatedly feeds the same chunk to the decoder until it is fully consumed.

Recommended action

Treat this as a correctness fix with possible security implications. Review callers of decode_from_read_unbuffered_with to determine whether truncated input could lead to consensus-relevant parsing errors, transaction malleability, or denial-of-service. Apply the patch and add regression tests covering decoders that consume input in multiple push_bytes calls.

Security signals we found

01

Data truncation / loss of unconsumed decoder input

02

Inconsistent decoding behavior across decoder implementations

03

Potential for malformed parsed structures or denial-of-service via incomplete reads

04

Fix pattern mirrors a prior fix in encoding::decode_from_hex, suggesting same bug class

Risk score

Why this scored 61/100

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

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