insidetrust/statistically-likely-usernames resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1386 stars · 163 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of wordlists for generating statistically likely usernames for use in password attacks, username enumeration, and authorized security testing. Lists are derived from US Census and Facebook name data and ordered by statistical likelihood.

Use cases

• generate likely username lists for password spraying
• enumerate valid usernames during a pentest
• run horizontal password attacks against a network
• build custom username wordlists in specific formats
• guess default service and test account names

When to choose

• you are performing an authorized penetration test and need efficient username guesses
• you want to prioritize username candidates by statistical likelihood
• you need pre-built lists covering common username formats like jsmith or john.smith

When to avoid

• you need general-purpose password wordlists rather than usernames
• your use case is not authorized security testing
• you need a tool rather than static wordlist data

Facets

dataset · maturity stable

security data-generation security penetration-testing cross-platform wordlists username-enumeration password-attacks pentesting osint

Member repositories

For agents

markdown · JSON · MCP: product_card(name="insidetrust/statistically-likely-usernames")