AI-generated analysisPublished automatically and not human-verified. Validated context appears in community notes below.
← Watch feed
Informational 17 Bitcoin

feat: improve payment requests listing, filters and reporting

Public commit record

What the developer wrote

Authored by thgO.O

62/100 · Adequate
feat: improve payment requests listing, filters and reporting
✓ Specific, descriptive subject✓ Names a concrete action or component✓ Uses a recognizable type or scope! No meaningful explanatory body
The short version

What changed, and why it matters

This commit adds new UI filters, a label system, and a reporting provider for payment requests. It also changes the search query to use a hand-written SQL statement. The change is described as a feature improvement, not a security fix. The SQL query uses Entity Framework's parameterized raw SQL, which generally protects against SQL injection, but the code mixes raw SQL with LINQ and introduces a new label-filtering path. There is no direct evidence in the commit of a vulnerability being fixed or introduced, but the raw SQL and label-filtering logic are worth reviewing carefully because mistakes in those areas can lead to security bugs.

Recommended action

Treat this as a routine feature commit, but perform a focused security review of the new raw SQL query and label-filtering path. Verify that FromSqlRaw parameters are correctly translated by EF Core in the deployed version, that LabelFilter values are validated or parameterized, and that the reporting provider enforces store-scoped authorization. No emergency action is warranted based solely on this diff.

Security signals we found

01

Raw SQL introduced via FromSqlRaw in PaymentRequestRepository.FindPaymentRequests

02

User-supplied SearchText, LabelFilter, startdate/enddate values flow into repository queries

03

New label filtering joins WalletObjectLinks by WalletId/AType/BType/AId

04

New reporting provider reads payment requests, invoices, and payments for a store

05

No explicit security fix, advisory, CVE, or researcher attribution in commit metadata

Risk score

Why this scored 17/100

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

Community notes

Notes can correct, qualify, or add evidence to the AI analysis. Every note shown here has been validated by a human moderator.

No validated notes yet.

The AI analysis stands alone for now. Submit a note if you can add evidence or important context.