Is Abnf Safe?
Abnf — Nerq Trust Score 59.5/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Abnf is a npm package with a Nerq Trust Score of 59.5/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Abnf safe?
Trust Score Breakdown — Abnf has a Nerq Trust Score of 59.5/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Abnf's trust score?
Abnf has a Nerq Trust Score of 59.5/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Abnf?
Abnf's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Abnf and who maintains it?
| Author | hildjj |
| Category | npm Packages |
| Stars | 27 |
| Source | N/A |
Abnf Across Platforms
Same developer/company in other registries:
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Safety Guide: Abnf
What is Abnf?
Abnf is a Node.js package — Augmented Backus-Naur Form (ABNF) parsing. See RFC 5234..
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=abnf
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Abnf has a Nerq Trust Score of 60/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Abnf has a Trust Score of 60/100 (C).
- 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.