Is Brutesleuth Safe?
Brutesleuth — Nerq Trust Score 51.0/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Brutesleuth is a Python package with a Nerq Trust Score of 51.0/100 (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 Brutesleuth safe?
Trust Score Breakdown — Brutesleuth has a Nerq Trust Score of 51.0/100 (C-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Brutesleuth's trust score?
Brutesleuth has a Nerq Trust Score of 51.0/100, 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 Brutesleuth?
Brutesleuth's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Brutesleuth and who maintains it?
| Author | Nicholas Cottrell |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Brutesleuth
What is Brutesleuth?
Brutesleuth is a Python package — Making bruteforce wordlists smarter, not harder.
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=BruteSleuth
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Brutesleuth has a Nerq Trust Score of 51/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Brutesleuth has a Trust Score of 51/100 (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.