Is Azure Keyvault Secrets Safe?
Azure Keyvault Secrets — Nerq Trust Score 74.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-04-12
Azure Keyvault Secrets is a Python package with a Nerq Trust Score of 74.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-04-12 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-12. Machine-readable data (JSON).
Is Azure Keyvault Secrets safe?
Trust Score Breakdown — Azure Keyvault Secrets has a Nerq Trust Score of 74.2/100 (B). Measured across 2 independent trust signals (as of 2026-04-12).
What is Azure Keyvault Secrets's trust score?
Azure Keyvault Secrets has a Nerq Trust Score of 74.2/100, earning a B grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Azure Keyvault Secrets?
Azure Keyvault Secrets's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Azure Keyvault Secrets and who maintains it?
| Author | Microsoft Corporation |
| Category | Python Packages |
| Source | N/A |
Azure Keyvault Secrets Across Platforms
Same developer/company in other registries:
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Safety Guide: Azure Keyvault Secrets
What is Azure Keyvault Secrets?
Azure Keyvault Secrets is a Python package — Microsoft Corporation Key Vault Secrets Client Library for Python.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=azure-keyvault-secrets
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Azure Keyvault Secrets has a Nerq Trust Score of 74/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Azure Keyvault Secrets has a Trust Score of 74/100 (B).
- 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 74/100 |
| Popularity | 100/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Azure Keyvault Secrets collect?
Azure Keyvault Secrets is a Python package maintained by Microsoft Corporation. It receives approximately 10,569,997 weekly downloads. Licensed under MIT License.
As a development package, Azure Keyvault Secrets does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Azure Keyvault Secrets Privacy Report · Privacy review
Is Azure Keyvault Secrets secure?
Security score: 90/100. Azure Keyvault Secrets has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT License, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Azure Keyvault Secrets Security Report
Azure Keyvault Secrets Across Platforms
Same developer/company in other registries:
How we calculated this score
Azure Keyvault Secrets's trust score of 74.2/100 (B) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (74/100), popularity (100/100), quality (65/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
Signals last measured on April 12, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON 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.