Secrets in Logs Check — Is Your Token in the Log Store?
DevMeth checks the 48 known AI-code failure patterns — not a penetration test or a security guarantee.
What the issue is
Tokens and emails written to logs land in aggregators, retention buckets, and support tooling — a session token in a log line is a hijack key with a 30-day shelf life.
Why AI tools generate it
AI scaffolds log liberally because printed values make the demo work; the cleanup pass that removes them before production never happens.
How DevMeth detects it
A code scan flags logging calls that receive secret- or PII-named values (tokens, keys, passwords, OTPs, emails) — masked last-4 shapes are not flagged. Flagged as review: the scan sees the name, the review confirms the value.
Secrets and user data are written to logs
WHAT WE FOUND
C40 — masked sample
The fix, in three steps
Log a correlation ID or the masked last 4 instead of the value, add a logger redact rule for defense in depth, and rotate what already shipped to logs.
Run a free scan and each finding carries a paste-ready fix prompt you can act on.
Try a free scanFAQ
It's just a debug log — who reads it?
Log aggregators, retention buckets, support tooling, and whoever opens a bug report with the line pasted in. Logs replicate far more widely than your database — that's the exposure.
Why is this advisory instead of certain?
The scan sees a value NAMED like a secret reaching a log call — a variable called token might hold a UI label. That's exactly what the review confirms: is the runtime value sensitive?
What's the fix?
Log the correlation ID or the masked last 4, add a logger redact rule, and rotate anything already logged — logged secrets are disclosed secrets.
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.