Is Server Auth Safe?
Server Auth — Nerq Trust Score 49.5/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-22
Server Auth is a npm package with a Nerq Trust Score of 49.5/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-22 Security: 90/100. Popularity: 15/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-22. Machine-readable data (JSON).
Is Server Auth safe?
Trust Score Breakdown — Server Auth has a Nerq Trust Score of 49.5/100 (D). Measured across 2 independent trust signals (as of 2026-03-22).
What is Server Auth's trust score?
Server Auth has a Nerq Trust Score of 49.5/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Server Auth?
Server Auth's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Server Auth and who maintains it?
| Author | malex |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Server Auth
What is Server Auth?
Server Auth is a Node.js package — Server auth plugin for Hapi.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=server-auth
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Server Auth has a Nerq Trust Score of 50/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Server Auth has a Trust Score of 50/100 (D).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.