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Logging

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Cybersecurity 11 Sep 2026 8 min read

Encode Untrusted Data Before Writing Security Logs

Security logs often contain values that originated outside the trust boundary: usernames, request paths, HTTP headers, device names, search terms, object identifiers, and error details. Those values can be useful during incident response, but they can also become an attack surface when an application inserts them into log records without safe encoding. A malicious value containing line breaks or terminal control data can distort a text log, create a record that appears to come from the application, or make an analyst misread the sequence of events. The same input can also cause trouble farther downstream when collectors and parsers disagree about record boundaries.

Go 09 Sep 2026 8 min read

Control Structured Log Output in Go with slog.LogValuer

Passing a struct directly to slog is convenient until that struct grows a field that should never appear in logs. An access token, session secret, internal note, or large payload can turn an ordinary diagnostic line into a security problem or an expensive blob of noise. Go’s slog.LogValuer interface gives a type control over its own structured log representation. Instead of teaching every call site which fields are safe, you can define that representation next to the type and let slog use it wherever the value is logged.

Go 01 Sep 2026 7 min read

Structured Logging in Go with slog

Plain text logs are easy to print but difficult to query reliably. Once an application runs across multiple processes or containers, operators usually need to filter events by fields such as HTTP status, request path, customer ID, or latency rather than search arbitrary strings. Go’s standard library includes log/slog for structured logging. It was added in Go 1.21, so the examples in this article require Go 1.21 or newer. What structured logging changes A traditional log message often embeds data inside prose: