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Informational 18 Bitcoin

nanobench: fix perf counter buffer init

Public commit record

What the developer wrote

Authored by Lőrinc

88/100 · Strong
nanobench: fix perf counter buffer init

The perf counter read buffer comment says the vectors start with three metadata slots, but brace initialization creates one element with value 3.
Normal benchmark construction usually hides this because successful `monitor()` calls resize the buffers before `updateResults()`, while failed setup sets `mHasError` before the indexed reads.
Initialize the vectors with the size constructor so a default-constructed `LinuxPerformanceCounters` object satisfies the `read_format` invariant instead of relying on that construction path.
Reproducer: https://godbolt.org/z/scE8rMd8Y
✓ Descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context✓ Explains rationale or failure mode✓ Links an issue, advisory, or supporting reference
The short version

What changed, and why it matters

This is a small bug fix in Bitcoin Core's internal benchmarking header (nanobench). The code intended to create three empty placeholder slots in some performance-counter buffers, but accidentally created a single slot containing the number 3. Under normal use this gets corrected before it matters, but a default-constructed object could read past the single element. It is a correctness/reliability fix in benchmark tooling, not a network-facing security vulnerability.

Recommended action

Treat as a routine code-quality/correctness fix. No urgent security action is required. Reviewers may want to confirm no other brace-initialized vectors in nanobench.h have the same semantic confusion.

Security signals we found

01

off-by-one / initialization bug in low-level performance counter buffer

02

potential out-of-bounds read if default-constructed object is used before resize

03

fix is defensive/correctness rather than reactive to an exploit

04

no mention of CVE, advisory, researcher credit, or security disclosure

Risk score

Why this scored 18/100

Our methodology →
Potential impact 2/30
Exploitability 1/25
Stealth signal 1/15
Affected reach 2/15
Confidence 8/10
Evidence quality 4/5
Human-validated context

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