Безопасен ли Backoff Func?
Backoff Func — Nerq Trust Score 57.8/100 (Оценка D). На основе анализа 1 измерений доверия, считается имеющим заметные проблемы безопасности. Последнее обновление: 2026-06-02.
Используйте Backoff Func с осторожностью. Backoff Func — это software tool с рейтингом доверия Nerq 57.8/100 (D), based on 3 независимых показателей данных. Ниже верифицированного порога Nerq Данные из множественные публичные источники, включая реестры пакетов, GitHub, NVD, OSV.dev и OpenSSF Scorecard. Последнее обновление: 2026-06-02. Машинночитаемые данные (JSON).
Безопасен ли Backoff Func?
CAUTION — Backoff Func has a Nerq Trust Score of 57.8/100 (D). Умеренные сигналы доверия, но есть отдельные области, требующие внимания that warrant attention. Suitable for development use — review безопасность and обслуживание signals before production deployment.
Каков рейтинг доверия Backoff Func?
Backoff Func имеет Nerq Trust Score 57.8/100 с оценкой D. Этот балл основан на 1 независимо измеренных параметрах, включая безопасность, обслуживание и принятие сообществом.
Каковы основные выводы по безопасности Backoff Func?
Самый сильный сигнал Backoff Func — соответствие на уровне 100/100. Известных уязвимостей не обнаружено. It has not yet reached the Nerq Verified threshold of 70+.
Что такое Backoff Func и кто его поддерживает?
| Разработчик | samuelg |
| Категория | Uncategorized |
| Источник | https://www.npmjs.com/package/backoff-func |
Соответствие нормативам
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Backoff Func?
Backoff Func is a software tool in the uncategorized category: Eventually call a function based on an exponential backoff. Nerq Trust Score: 58/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including безопасность vulnerabilities, обслуживание activity, license соответствие, and принятие сообществом.
How Nerq Assesses Backoff Func's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five показателей. Here is how Backoff Func performs in each:
- Compliance (100/100): Backoff Func is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 57.8/100 (D) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Backoff Func?
Backoff Func is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Backoff Func is suitable for development and testing environments. Before production deployment, conduct a thorough review of its безопасность posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Backoff Func's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Проверьте repository безопасность policy, open issues, and recent commits for signs of active обслуживание.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Backoff Func's dependency tree. - Отзыв permissions — Understand what access Backoff Func requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Backoff Func in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=backoff-func - Проверьте license — Confirm that Backoff Func'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.
- 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 безопасность concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Backoff Func
When evaluating whether Backoff Func is safe, consider these category-specific risks:
Understand how Backoff Func processes, stores, and transmits your data. Проверьте tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Backoff Func's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher безопасность risk.
Regularly check for updates to Backoff Func. Безопасность patches and bug fixes are only effective if you're running the latest version.
If Backoff Func 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.
Verify that Backoff Func's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Backoff Func in violation of its license can expose your organization to legal liability.
Best Practices for Using Backoff Func Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Backoff Func while minimizing risk:
Periodically review how Backoff Func is used in your workflow. Check for unexpected behavior, permissions drift, and соответствие with your безопасность policies.
Ensure Backoff Func and all its dependencies are running the latest stable versions to benefit from безопасность patches.
Grant Backoff Func only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Backoff Func's безопасность advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Backoff Func is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Backoff Func?
Even promising tools aren't right for every situation. Consider avoiding Backoff Func in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional соответствие review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Backoff Func's trust score of 57.8/100 meets your organization's risk tolerance. We recommend running a manual безопасность assessment alongside the automated Nerq score.
How Backoff Func 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. Backoff Func's score of 57.8/100 is near the category average of 62/100.
This places Backoff Func in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks умеренный 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 Backoff Func 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 обслуживание patterns change, Backoff Func'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 безопасность and quality. Conversely, a downward trend may signal reduced обслуживание, growing technical debt, or unresolved vulnerabilities. To track Backoff Func's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=backoff-func&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 — безопасность, обслуживание, документация, соответствие, and community — has evolved independently, providing granular visibility into which aspects of Backoff Func are strengthening or weakening over time.
Основные выводы
- Backoff Func has a Trust Score of 57.8/100 (D) and is not yet Nerq Verified.
- Backoff Func shows умеренный trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Backoff Func scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Какие данные собирает Backoff Func?
Конфиденциальность assessment for Backoff Func is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Безопасен ли Backoff Func?
Безопасность score: на стадии оценки. Review безопасность practices and consider alternatives with higher безопасность scores for sensitive use cases.
Nerq отслеживает эту сущность по базам NVD, OSV.dev и реестровым базам уязвимостей для непрерывной оценки безопасности.
Полный анализ: Отчёт о безопасности Backoff Func
Как мы рассчитали этот рейтинг
Backoff Func's trust score of 57.8/100 (D) вычисляется из множественные публичные источники, включая реестры пакетов, GitHub, NVD, OSV.dev и OpenSSF Scorecard. Рейтинг отражает 0 независимых показателей: . Каждый показатель имеет равный вес в сводном рейтинге доверия.
Nerq анализирует более 7,5 миллиона сущностей в 26 реестрах используя единую методологию, что позволяет проводить прямое сравнение между сущностями. Рейтинги обновляются непрерывно по мере поступления новых данных.
Эта страница последний раз проверена: June 02, 2026. Версия данных: 1.0.
Полная документация методологии · Машинночитаемые данные (JSON API)
Часто задаваемые вопросы
Безопасен ли Backoff Func?
Каков рейтинг доверия Backoff Func?
Какие более безопасные альтернативы Backoff Func?
Как часто обновляется оценка безопасности Backoff Func?
Могу ли я использовать Backoff Func в регулируемой среде?
См. также
Disclaimer: Рейтинги доверия Nerq — это автоматические оценки, основанные на публично доступных сигналах. Они не являются рекомендацией или гарантией. Всегда проводите собственную проверку.