Apakah 79592 Aman?

79592 — Nerq Trust Score 37.9/100 (Nilai E). Berdasarkan analisis 5 dimensi kepercayaan, dianggap memiliki risiko keamanan yang signifikan. Terakhir diperbarui: 2026-03-31.

Berhati-hatilah dengan 79592. 79592 is a software tool dengan Skor Kepercayaan Nerq sebesar 37.9/100 (E). Di bawah ambang batas yang direkomendasikan yaitu 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. Data yang dapat dibaca mesin (JSON).

Apakah 79592 Aman?

TIDAK — GUNAKAN DENGAN HATI-HATI — 79592 memiliki Skor Kepercayaan Nerq sebesar 37.9/100 (E). Memiliki sinyal kepercayaan di bawah rata-rata dengan celah signifikan di keamanan, pemeliharaan, atau dokumentasi. Tidak direkomendasikan untuk penggunaan produksi tanpa tinjauan manual menyeluruh dan langkah keamanan tambahan.

Analisis Keamanan → Laporan Privasi {name} →

Berapa skor kepercayaan 79592?

79592 memiliki Skor Kepercayaan Nerq 37.9/100 dengan nilai E. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Kepercayaan Keseluruhan
37.9

Apa temuan keamanan utama untuk 79592?

Sinyal terkuat 79592 adalah kepercayaan keseluruhan pada 37.9/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Skor kepercayaan komposit: 37.9/100 dari semua sinyal yang tersedia

Apa itu 79592 dan siapa yang mengelolanya?

Pembuat0x42ce8df4c5abe6f8a669132a65e0db71ecfecb4e
Kategoriuncategorized
Sumberhttps://8004scan.io/agents/79592

What Is 79592?

79592 is a software tool in the uncategorized category: 6037401272077940206311336093339260798757429297092129896852864919567252613. Nerq Trust Score: 38/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.

How Nerq Assesses 79592's Safety

Nerq evaluates every software tool across 13+ independent trust signals drawn from public sources including GitHub, NVD, OSV.dev, OpenSSF Scorecard, and package registries. These signals are grouped into five core dimensions: Keamanan (known CVEs, dependency vulnerabilities, security policies), Pemeliharaan (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 jurisdictions), and Community (stars, forks, downloads, ecosystem integrations).

79592 receives an overall Trust Score of 37.9/100 (E), which Nerq considers low. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.

Nerq updates trust scores continuously as new data becomes available. To get the latest assessment, query the API: GET nerq.ai/v1/preflight?target=79592

Each dimension is weighted according to its importance for the tool's category. For example, Security and Maintenance carry higher weight for tools that handle sensitive data or execute code, while Community and Documentation are weighted more heavily for developer-facing libraries and frameworks. This ensures that 79592's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five dimensions, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use 79592?

79592 is designed for:

Risk guidance: We recommend caution with 79592. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify 79592's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in 79592's dependency tree.
  3. Ulasan permissions — Understand what access 79592 requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run 79592 in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=79592
  6. Tinjau license — Confirm that 79592's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
  7. Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with 79592

When evaluating whether 79592 is safe, consider these category-specific risks:

Data handling

Understand how 79592 processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency security

Check 79592's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.

Update frequency

Regularly check for updates to 79592. Security patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If 79592 connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.

License and IP compliance

Verify that 79592's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using 79592 in violation of its license can expose your organization to legal liability.

Best Practices for Using 79592 Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from 79592 while minimizing risk:

Conduct regular audits

Periodically review how 79592 is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

Ensure 79592 and all its dependencies are running the latest stable versions to benefit from security patches.

Follow least privilege

Grant 79592 only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for security advisories

Subscribe to 79592's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how 79592 is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid 79592?

Even promising tools aren't right for every situation. Consider avoiding 79592 in these scenarios:

Skor kepercayaan

For each scenario, evaluate whether 79592 sebesar 37.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How 79592 Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. 79592's score of 37.9/100 is below the category average of 62/100.

This suggests that 79592 trails behind many comparable uncategorized tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderate in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.

Trust Score History

Nerq continuously monitors 79592 and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or maintenance patterns change, 79592's score is updated within 24 hours.

Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track 79592's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=79592&include=history

Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of 79592 are strengthening or weakening over time.

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah 79592 aman digunakan?
Berhati-hatilah. 79592 memiliki Skor Kepercayaan Nerq sebesar 37.9/100 (E). Sinyal terkuat: kepercayaan keseluruhan (37.9/100). Skor berdasarkan beberapa dimensi kepercayaan.
Berapa skor kepercayaan 79592?
79592: 37.9/100 (E). Skor berdasarkan: beberapa dimensi kepercayaan. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=79592
Apa alternatif yang lebih aman dari 79592?
Dalam kategori uncategorized, more software tools are being analyzed — kunjungi kembali segera. 79592 mendapat skor 37.9/100.
How often is 79592's safety score updated?
Nerq continuously monitors 79592 and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 37.9/100 (E), last verified 2026-03-31. API: GET nerq.ai/v1/preflight?target=79592
Bisakah saya menggunakan 79592 di lingkungan teregulasi?
79592 has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.

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