Unvalidated Input Check — Does Request Data Flow Straight Into Writes or Shell?
DevMeth checks the 48 known AI-code failure patterns — not a penetration test or a security guarantee.
What the issue is
When request data flows straight into a database write or a shell command without validation, a crafted value can corrupt data or run unintended commands on your server.
Why AI tools generate it
AI tools often pass request values directly into a write or exec() to save a step, skipping the schema check that would catch hostile shapes.
How DevMeth detects it
A code scan traces request-originated data into database writes or shell sinks and flags any path that reaches the sink unvalidated.
Request data flows straight into database writes or shell commands unvalidated
WHAT WE FOUND
src/admin.ts — exec(body.command) — unvalidated
The fix, in three steps
Validate and schema-check request data before it reaches any DB-write or shell sink, and never feed raw input to exec(). Three steps.
Run a free scan and each finding carries a paste-ready fix prompt you can act on.
Try a free scanFAQ
What's the difference between this and SQL injection?
This is broader: unvalidated request data reaching any dangerous sink (DB writes, shell commands), not just SQL query strings.
How is a 'sink' detected?
A code scan traces request-originated values into database writes and shell-exec calls and flags paths that reach the sink without a validation step.
What's the fix?
Validate and schema-check all request data at the boundary before it reaches any write or shell sink, and never pass raw input to exec().
DevMeth checks the 48 known AI-code failure patterns — not 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.