Lucky Orange安全吗?

Lucky Orange — Nerq Trust Score 0/100 (N/A级). 基于5个信任维度的分析,被评估为被认为不安全。 最后更新:2026-05-21。

Lucky Orange存在严重的信任问题。 Lucky Orange 是一个software tool Nerq 信任分数 0/100(N/A). 低于 Nerq 验证阈值 数据来源于多个公共来源,包括包注册表、GitHub、NVD、OSV.dev和OpenSSF Scorecard。最后更新:2026-05-21。 机器可读数据(JSON).

Lucky Orange安全吗?

NO — USE WITH CAUTION — Lucky Orange has a Nerq Trust Score of 0/100 (N/A). 信任信号低于平均水平,存在重大缺口 in 安全性, 维护, or 文档. Not recommended for production use without thorough manual review and additional 安全性 measures.

安全分析 → Lucky Orange隐私报告 →

Lucky Orange的信任评分是多少?

Lucky Orange 的 Nerq 信任分数为 0/100,等级为 N/A。该分数基于 5 个独立测量的维度,包括安全性、维护和社区采用。

整体信任度
0

Lucky Orange的主要安全发现是什么?

Lucky Orange 最强的信号是 整体信任度,为 0/100。 未检测到已知漏洞。 尚未达到 Nerq 认证阈值 70+。

综合信任评分: 0/100 基于所有可用信号

Lucky Orange是什么,谁在维护它?

开发者Unknown
类别Uncategorized
来源N/A

What Is Lucky Orange?

Lucky Orange is a software tool in the uncategorized category available on unknown. Nerq Trust Score: 0/100 (N/A).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 安全性 vulnerabilities, 维护 activity, license 合规性, and 社区采用.

How Nerq Assesses Lucky Orange'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 维度: 安全性 (known CVEs, dependency vulnerabilities, 安全性 policies), 维护 (commit frequency, release cadence, issue response times), Documentation (README quality, API docs, examples), Compliance (license, regulatory alignment across 52 司法管辖区s), and Community (stars, forks, downloads, ecosystem integrations).

Lucky Orange receives an overall Trust Score of 0.0/100 (N/A), 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=hacked/lucky-orange

Each dimension is weighted according to its importance for the tool's category. For example, 安全性 and 维护 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 Lucky Orange's score reflects the risks most relevant to its actual usage patterns. The final score is a weighted average across all five 维度, normalized to a 0-100 scale with letter grades from A (highest) to F (lowest).

Who Should Use Lucky Orange?

Lucky Orange is designed for:

Risk guidance: We recommend caution with Lucky Orange. The low trust score suggests potential risks in 安全性, 维护, or community support. Consider using a more established alternative for any production or sensitive workload.

How to Verify Lucky Orange's Safety Yourself

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

  1. Check the source code — 查看 repository 安全性 policy, open issues, and recent commits for signs of active 维护.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Lucky Orange's dependency tree.
  3. 评论 permissions — Understand what access Lucky Orange requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Lucky Orange 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=hacked/lucky-orange
  6. 查看 license — Confirm that Lucky Orange'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 安全性 concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Lucky Orange

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

Data handling

Understand how Lucky Orange processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency 安全性

Check Lucky Orange's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.

Update frequency

Regularly check for updates to Lucky Orange. 安全性 patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Lucky Orange 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 合规性

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

Best Practices for Using Lucky Orange Safely

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

Conduct regular audits

Periodically review how Lucky Orange is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.

Keep dependencies updated

Ensure Lucky Orange and all its dependencies are running the latest stable versions to benefit from 安全性 patches.

Follow least privilege

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

Monitor for 安全性 advisories

Subscribe to Lucky Orange's 安全性 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 Lucky Orange is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Lucky Orange?

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

For each scenario, evaluate whether Lucky Orange's trust score of 0.0/100 meets your organization's risk tolerance. We recommend running a manual 安全性 assessment alongside the automated Nerq score.

How Lucky Orange 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. Lucky Orange's score of 0.0/100 is below the category average of 62/100.

This suggests that Lucky Orange trails behind many comparable uncategorized tools. Organizations with strict 安全性 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 中等 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 Lucky Orange 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 维护 patterns change, Lucky Orange'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 安全性 and quality. Conversely, a downward trend may signal reduced 维护, growing technical debt, or unresolved vulnerabilities. To track Lucky Orange's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=hacked/lucky-orange&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 — 安全性, 维护, 文档, 合规性, and community — has evolved independently, providing granular visibility into which aspects of Lucky Orange are strengthening or weakening over time.

主要结论

Lucky Orange收集哪些数据?

隐私 assessment for Lucky Orange is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Lucky Orange安全吗?

安全分数: 正在评估中. Review 安全性 practices and consider alternatives with higher 安全性 scores for sensitive use cases.

Nerq 对照 NVD、OSV.dev 和注册表特定漏洞数据库监控此实体 以进行持续安全评估.

完整分析: Lucky Orange安全报告

我们如何计算此评分

Lucky Orange's trust score of 0/100 (N/A) 由以下内容计算得出 多个公共来源,包括包注册表、GitHub、NVD、OSV.dev和OpenSSF Scorecard. 该评分反映了 0 独立维度: . 每个维度被同等加权以产生综合信任评分.

Nerq 在 26 个注册表中分析超过 750 万个实体 使用相同的方法,实现实体间的直接比较. 评分会在新数据可用时持续更新.

本页面最近审查于 May 21, 2026. 数据版本: 1.0.

完整方法论文档 · 机器可读数据(JSON API)

常见问题

Lucky Orange安全吗?
存在严重的信任问题。 hacked/lucky-orange Nerq 信任分数 0/100(N/A). 最强信号: 整体信任度 (0/100). 基于multiple trust 维度的评分。
Lucky Orange的信任评分是多少?
hacked/lucky-orange: 0/100 (N/A). 基于multiple trust 维度的评分。 新数据可用时分数会更新. API: GET nerq.ai/v1/preflight?target=hacked/lucky-orange
Lucky Orange有哪些更安全的替代品?
在Uncategorized类别中, 更多software tool正在分析中 — 稍后再来查看。 hacked/lucky-orange scores 0/100.
Lucky Orange的安全评分多久更新一次?
Nerq continuously monitors Lucky Orange and updates its trust score as new data becomes available. Current: 0/100 (N/A), last 已验证 2026-05-21. API: GET nerq.ai/v1/preflight?target=hacked/lucky-orange
我可以在受监管的环境中使用Lucky Orange吗?
Lucky Orange未达到Nerq验证阈值70。建议进行额外审查。
API: /v1/preflight Trust Badge API Docs

另请参阅

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。

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