Azure Header Analyzer

The Azure Header Analyzer parses a raw header block and returns a structured view of HTTP-like headers used by Azure services. It extracts standard fields such as Date, Content-Type, Content-Length, Host, Authorization, User-Agent, and Azure-specific headers like x-ms-request-id and traceparent. It normalizes header names and highlights deviations from expected formats.
Conceptually, parsing follows RFC 7230 rules: tokenization, folding, and case-insensitive matching. The tool emits a list of parsed headers, a derived signals object (e.g., content_length_int, date_iso8601), and an issues log that flags malformations, duplicates, or unsupported constructs.
Who benefits includes developers, SREs, security engineers, and API integrators who need quick, actionable insight from header data. The tool's value lies in deterministic normalization, explicit anomaly tagging, and outputs that are exportable to logs, traces, and monitoring dashboards.
Core features include parsing, normalization, multi-value header support, folding detection, redaction suggestions for sensitive headers, and structured outputs. Common use cases are debugging failed requests, verifying header conformance during Azure service integration, and performing post-incident header audits.