References and resources

Support passive fingerprinting, correlation, and enrichment activities within the Fingerprint Forge. This page focuses on datasets, reference material, and internal discipline required to turn raw artefacts into stable identifiers.

Passive datasets and observation sources

Large-scale, passive or quasi-passive datasets used for correlation, prevalence analysis, and historical comparison. These are used for lookups and pattern matching, not active discovery.

  • Shodan: internet-wide scan data for banners, services, certificates, and metadata

  • Censys: structured scan datasets with strong TLS and service fingerprinting support

  • Shadowserver public datasets: community-driven measurements and reports

  • Common Crawl: large-scale web crawl data, useful for historical UI assets and web fingerprints

  • Vendor firmware mirrors and archives (when available): used for version correlation and artefact comparison

These sources are observational. If it requires you to send packets, it is out of scope for the Forge.

Asset hash databases and fingerprint libraries

Resources for matching extracted artefacts against known fingerprints. Hashes and signatures are treated as signals, not proof.

Hash matches inform hypotheses. They do not end them.

Protocol references for fingerprinting

Protocol documentation used to identify stable fields, version markers, optional features, and implementation quirks that can be fingerprinted passively.

Focus is on banners and greetings, default headers and ordering, optional capability advertisements, protocol misuse and edge cases

TLS and certificate analysis references

TLS artefacts are often the most stable passive identifiers available.

Serial numbers, issuer quirks, key reuse, and certificate lifetimes are all fingerprint material.