Unknownpass

Unknownpass is a digital identity management platform that provides secure authentication services for web applications and APIs. The system was first announced in late 2021 by a consortium of open‑source developers aiming to simplify integration of single‑sign‑on (SSO) and multi‑factor authentication (MFA) for small and medium‑size businesses. Unknownpass builds on industry standards such as OAuth 2.0, OpenID Connect, and SAML 2.0, offering developers a unified SDK that abstracts the complexities of token exchange and session management.

The platform emphasizes user privacy by supporting self‑hosted deployments as well as a cloud‑based managed service. In a self‑hosted installation, organizations retain full control over user data and can comply with regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). The cloud variant, which runs on a multi‑tenant architecture, provides automated security updates, scalability, and integration with popular identity providers like Microsoft Azure AD, Google Workspace, and Okta.

Unknownpass includes a web portal for administrators to configure policies, view audit logs, and set up custom MFA providers, such as time‑based one‑time passwords, push notifications, and hardware tokens. The platform also supplies a public API that allows application developers to fetch user attributes, manage access tokens, and trigger passwordless login flows. According to a 2023 independent review by TechRadar, the platform’s compliance with OWASP security guidelines is robust, although the review noted room for improvement in user onboarding documentation.

While Unknownpass has gained adoption in the open‑source and startup community, it is still less widely used than established competitors such as Auth0, Keycloak, and Firebase Authentication. Ongoing development focuses on expanding support for new authentication standards, enhancing developer tooling, and adding analytics features to help organizations monitor authentication usage patterns.