Is C3Sign Safe?
C3Sign — Nerq Trust Score 57.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
C3Sign is a Python package with a Nerq Trust Score of 57.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is C3Sign safe?
Trust Score Breakdown — C3Sign has a Nerq Trust Score of 57.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is C3Sign's trust score?
C3Sign has a Nerq Trust Score of 57.0/100, 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 C3Sign?
C3Sign's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is C3Sign and who maintains it?
| Author | Beau Butler |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: C3Sign
What is C3Sign?
C3Sign is a Python package — Compact Crypto Certs (C3) is a mini-PKI signer/verifier with full chain functionality and compact binary and friendly text cert formats.
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=c3sign
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
C3Sign has a Nerq Trust Score of 57/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- C3Sign has a Trust Score of 57/100 (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.