39172安全吗?
39172 — Nerq 信任评分 37.9/100 (E级). 基于5个信任维度的分析,被评估为存在重大安全风险。 最后更新:2026-03-31。
请对39172保持警惕。 39172 is a software tool Nerq 信任评分为 37.9/100 (E). 低于推荐阈值 70。 Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-31. 机器可读数据(JSON).
39172安全吗?
否——请谨慎使用 — 39172 Nerq 信任评分为 37.9/100 (E). 信任信号低于平均水平,在安全性、维护或文档方面存在重大缺口. 未经彻底手动审查和额外安全措施,不建议用于生产环境.
39172的信任评分是多少?
39172 Nerq 信任评分为 37.9/100, earning a E grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
39172的主要安全发现是什么?
39172's strongest signal is 整体信任度 at 37.9/100. No 已知漏洞 have been detected. It has not yet reached the Nerq Verified threshold of 70+.
39172是什么,谁在维护它?
| 开发者 | 0x496cff0faf97e590a397dd2139a78be44aa683ec |
| 类别 | uncategorized |
| 来源 | https://8004scan.io/agents/39172 |
What Is 39172?
39172 is a software tool in the uncategorized category: 176883883572324389797170787070074036681720780104758865. Nerq 信任评分: 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 39172'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: 安全性 (known CVEs, dependency vulnerabilities, security policies), 维护 (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).
39172 receives an overall 信任评分 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=39172
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 39172'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 39172?
39172 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: We recommend caution with 39172. 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 39172's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for 已知漏洞 in 39172's dependency tree. - 评论 permissions — Understand what access 39172 requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run 39172 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=39172 - 查看 license — Confirm that 39172'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with 39172
When evaluating whether 39172 is safe, consider these category-specific risks:
Understand how 39172 processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check 39172's dependency tree for 已知漏洞. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to 39172. Security patches and bug fixes are only effective if you're running the latest version.
If 39172 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 39172's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using 39172 in violation of its license can expose your organization to legal liability.
Best Practices for Using 39172 Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from 39172 while minimizing risk:
Periodically review how 39172 is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure 39172 and all its dependencies are running the latest stable versions to benefit from security patches.
Grant 39172 only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to 39172's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how 39172 is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid 39172?
Even promising tools aren't right for every situation. Consider avoiding 39172 in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether 39172的信任评分为 37.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How 39172 Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average 信任评分 is 62/100. 39172's score of 37.9/100 is below the category average of 62/100.
This suggests that 39172 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.
信任评分 History
Nerq continuously monitors 39172 and recalculates its 信任评分 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, 39172'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 39172's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=39172&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 39172 are strengthening or weakening over time.
主要结论
- 39172 has a 信任评分 of 37.9/100 (E) and is not yet Nerq Verified.
- 39172 has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among uncategorized tools, 39172 scores below 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.
常见问题
39172可以安全使用吗?
39172's trust score是什么?
39172有哪些更安全的替代品?
How often is 39172's safety score updated?
我可以在受监管环境中使用39172吗?
Disclaimer: Nerq 信任评分是基于公开信号的自动评估。它们不构成建议或保证。请始终进行自己的验证。