DevMeth
C18

Input handling

SQL Injection Check — Is User Input Concatenated Into Your Queries?

DevMeth checks the 48 known AI-code failure patternsnot a penetration test or a security guarantee.

What the issue is

Building SQL by string-concatenating user input lets a crafted value alter the query, potentially reading, editing, or deleting data it shouldn't touch.

Why AI tools generate it

AI tools reach for template-literal SQL to 'just get the query working', and string interpolation of request values is the common failure that results.

How DevMeth detects it

A code scan looks for SQL sinks fed by request data through interpolation or concatenation and flags them as injection candidates.

C18
What a finding looks like
Critical

Your SQL is built by string-concatenating user input

WHAT WE FOUND

src/db.tsquery(`SELECT * FROM users WHERE id = ${id}`)

Sample — illustrative and masked exactly as a real report shows it. Run a free scan to see your own results.

The fix, in three steps

Use parameterized queries or an ORM and never interpolate request values into SQL. Three steps with a verification line.

Run a free scan and each finding carries a paste-ready fix prompt you can act on.

Try a free scan

FAQ

What does SQL injection actually let an attacker do?

A crafted input can change the query's meaning, letting an attacker read, modify, or delete database rows it wasn't meant to touch.

Is template-literal SQL always unsafe?

It's unsafe when any part comes from user/request input. Use parameterized queries or a safe ORM for anything request-influenced.

What's the fix?

Replace string-built SQL with parameterized queries or an ORM so input is treated as data, never as query structure.

DevMeth checks the 48 known AI-code failure patternsnot a penetration test or a security guarantee. A clear result means each known pattern was checked and found clear or not applicable for your app; it is not a guarantee of security.