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Low 41 Bitcoin

Use `next_splice_out_maximum_sat` to validate `funding_contributed`

Public commit record

What the developer wrote

Authored by Leo Nash

73/100 · Adequate
Use `next_splice_out_maximum_sat` to validate `funding_contributed`

This is equivalent to the previous commit, see the debug assertions
added in the previous commit. We now also get to communicate the
exact maximum back to the user, instead of some "balance is lower
than our reserve" message, which is hard to react to.
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Provides detailed explanatory context
The short version

What changed, and why it matters

This commit changes how a Lightning channel validates splice-out funding contributions. Instead of a more general reserve check, it now uses a dedicated 'next splice-out maximum' calculation to decide whether a proposed splice-out is too large, and reports a clearer error message to the user. The change appears to be a refinement of validation logic rather than a fix for a known exploit, but the commit message references a previous commit with added debug assertions, suggesting it hardens an earlier correction.

Recommended action

Review the previous commit referenced in the message to understand what the debug assertions were protecting against, and confirm that `get_next_splice_out_maximum` enforces equivalent or stronger guarantees than the removed `validate_splice_contributions` call. Consider whether the new error message exposes any internal state that could aid an attacker.

Security signals we found

01

Replaces a broader reserve validation with a specific splice-out maximum check

02

Uses `checked_add_signed` to prevent signed-amount overflow when validating contributions

03

Commit message references a prior commit with added debug assertions, implying a hardening or follow-up fix

04

Error message now exposes the exact splice-out maximum to the caller

05

No explicit CVE, security advisory, or researcher attribution in commit or supplied references

Risk score

Why this scored 41/100

Our methodology →
Potential impact 12/30
Exploitability 8/25
Stealth signal 5/15
Affected reach 7/15
Confidence 6/10
Evidence quality 3/5
Human-validated context

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