go-vuln-info-disclosure

To detect information disclosure vulnerabilities in Go applications, you analyze data flow from sensitive sources like K8s Secrets to exposed sinks such as logs or API responses, verifying proper sanitization measures are implemented.

Preventing credential leaks in Go web services involves tracking sensitive data origins like API keys to potential leakage points, ensuring protective measures such as log scrubbing or `json:"-"` tags are correctly applied to avoid exposure.

Auditing a Go codebase for unredacted API responses and log exposure requires sink analysis to track data flow to error messages and API responses, checking if sensitive data is inadvertently exposed without proper redaction.

Yes, information disclosure detection covers Kubernetes Secrets by pinpointing their origins as sensitive sources, and it references real-world CVEs to provide context for identifying and mitigating insecure credential handling patterns.

Verifying sanitization checks like `json:"-"` tags in Go involves analyzing the data flow from sensitive sources to sinks, confirming that protective measures are actively preventing credentials and private data from being logged or returned.

Your Go application returns sensitive data in error messages because improper logging or insecure credential handling allows data flow from sensitive sources to exposed sinks without adequate sanitization checks or log scrubbing.