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Low 28 Bitcoin

improve implementation of adding dns payment information from psbt

Public commit record

What the developer wrote

Authored by Craig Raw

50/100 · Thin
improve implementation of adding dns payment information from psbt
✓ Specific, descriptive subject✓ Names a concrete action or component! No meaningful explanatory body
The short version

What changed, and why it matters

This commit refines how Sparrow Wallet stores DNS payment details extracted from a Bitcoin PSBT (a transaction template). The old code tried to cache DNS payment info for both regular addresses and silent payment addresses in one combined flow, using helper methods like hasAddress() and hasSilentPaymentAddress(). The new code separates the two cases and, importantly, validates that the DNS payment record actually matches the address/silent payment address before caching it. This looks like a hardening change: it reduces the chance that a malicious or malformed PSBT could trick the wallet into caching a DNS payment entry for an unrelated address.

Recommended action

Review the implementation of DnsPayment.bitcoinURI().getAddress() and getSilentPaymentAddress() to confirm they are robust and cannot be spoofed by a crafted PSBT. Consider whether the DNSSEC proof itself is validated before this code runs, since the check only gates on the proof being non-empty. No immediate user action is indicated beyond applying the update.

Security signals we found

01

Added explicit address-binding validation before caching DNS payment data

02

Removed silent-payment-address inference from open wallets as the primary path; now uses PSBT-provided silent payment address first

03

Reduced code complexity by separating regular address and silent payment address handling

04

Potential fix for caching DNS payment info for an address that does not actually match the PSBT output

Risk score

Why this scored 28/100

Our methodology →
Potential impact 6/30
Exploitability 5/25
Stealth signal 4/15
Affected reach 5/15
Confidence 5/10
Evidence quality 3/5
Human-validated context

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