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Informational 23 Bitcoin

refactor: Avoid UB in SpanReader::ignore

Public commit record

What the developer wrote

Authored by MarcoFalke

92/100 · Strong
refactor: Avoid UB in SpanReader::ignore

Currently std::span::subspan is called without checking the size first.

This is UB, unless the std lib is hardened.

With a hardened stdlib, the program aborts:

> include/c++/v1/span:512: libc++ Hardening assertion __offset <= size()
> failed: span<T>::subspan(offset, count): offset out of range

Fix the UB and the abort by using the implementation from DataStream,
which throws when hitting end-of-data.

This commit should not change any behavior, because the UB is currently
unreachable. Also, the newly added throw should properly be caught by
any code that calls any streams function.
✓ Descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope✓ Provides detailed explanatory context✓ Explains rationale or failure mode
The short version

What changed, and why it matters

This is a small defensive code cleanup in Bitcoin Core. A function called SpanReader::ignore could previously call a standard-library span operation with an oversized offset, which is undefined behavior and, with hardening enabled, causes the program to crash. The fix adds a bounds check that throws a normal end-of-data exception instead. The commit message says this bad path was not reachable in practice, so the change is mainly about removing undefined behavior rather than fixing an exploitable bug.

Recommended action

Treat as a low-risk hardening/refactor commit. Review whether any callers of SpanReader::ignore rely on non-throwing behavior, and consider adding a regression test for the oversized-ignore path. No urgent security response is indicated by the commit itself.

Security signals we found

01

Undefined behavior in span bounds operation

02

Hardened standard-library abort path removed

03

Exception-based end-of-data handling added

04

Author states the bad path is currently unreachable

Risk score

Why this scored 23/100

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

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