Real findings from real engineering stacks. Every system produces signals — the hard part is knowing whether they describe reality. Here's what CodeMinder sees when it looks.
We found nearly two-thirds of a customer's application logs were pure noise — before we touched crash reports, customer issues, or any other data source. Here's what was hiding underneath.
The signal had been building for days. No alert fired. The roadmap kept moving. This is what a silent choke looks like — and what Ground Truth would have done.
AWS keys. In plaintext. In application logs. Four times in a single day. No external attacker required. Your stack can expose you from within — invisibly.
An endpoint answered the same dead question 1,000+ times a week — and every tool called it healthy. Here's what it was actually doing.
12,759 suspicious requests. More than half were stopped at the edge. The rest reached the live app and failed only because the paths they probed didn't exist — this time.
A background job kept reporting success for days while its real output quietly collapsed by more than 90%. The upstream errors were in the logs the whole time — nothing connected them to the word "success."
In one week, three credentials failed across the enrichment layer — and every fallback worked exactly as designed. No alert fired, because the mechanism absorbing the failures was also erasing the evidence they happened.
A threshold alarm on our own production WAF fired three times in four weeks. Every firing was noise — but each one still took a manual, multi-source investigation to prove it. Then we fed the logs to our own pipeline: 565 records in, 4 findings out.
A live API key was leaking into cleartext logs — but it was never in the code. It got there at runtime, through ordinary error handling, in the space between how an API is called and how errors are logged. No secret scanner watches that space.