Lazy Mobile é seguro?

Lazy Mobile — Nerq Trust Score 42.5/100 (Grau E). Pontuação baseada em 3 independent trust signals.

Lazy Mobile é um software tool com um Nerq Trust Score de 42.5/100 (E), com base em 3 dimensões de dados independentes. Manutenção: 0/100. Popularidade: 0/100. Dados obtidos de múltiplas fontes públicas incluindo registros de pacotes, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Última atualização: n/a. Dados legíveis por máquina (JSON).

Lazy Mobile é seguro?

Detalhamento da Pontuação de Confiança — Lazy Mobile has a Nerq Trust Score of 42.5/100 (E). Measured across 3 independent trust signals.

Análise de Segurança → Relatório de Privacidade →

Qual é a pontuação de confiança de Lazy Mobile?

Lazy Mobile tem uma Pontuação de Confiança Nerq de 42.5/100, obtendo grau E. Esta pontuação é baseada em 3 dimensões medidas independentemente.

Manutenção
0
Documentação
0
Popularidade
0

Quais são as principais descobertas de segurança de Lazy Mobile?

O sinal mais forte de Lazy Mobile é manutenção com 0/100. Nenhuma vulnerabilidade conhecida foi detectada.

⚠Manutenção: 0/100 — baixa atividade de manutenção
⚠Documentação: 0/100 — documentação limitada
⚠Popularidade: 0/100 — 1 estrelas em pulsemcp

O que é Lazy Mobile e quem o mantém?

Autorhttps://github.com/leaf76/lazy_mobile_mcp
CategoriaDevops
Stars1
Sourcehttps://github.com/leaf76/lazy_mobile_mcp

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What Is Lazy Mobile?

Lazy Mobile is a DevOps tool: Local Android and iOS mobile automation with performance telemetry.. It has 1 GitHub stars. Nerq Trust Score: 42/100 (E).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including segurança vulnerabilities, manutenção activity, license conformidade, and adoção pela comunidade.

How Nerq Assesses Lazy Mobile's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensões. Here is how Lazy Mobile performs in each:

The overall Trust Score of 42.5/100 (E) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates Lazy Mobile?

Lazy Mobile is commonly evaluated by:

How to read the signals: Lazy Mobile's measured signals (manutenção 0/100, documentação 0/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify Lazy Mobile's Safety Yourself

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

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

Common Safety Concerns with Lazy Mobile

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

Data handling

Understand how Lazy Mobile processes, stores, and transmits your data. Revise o/a tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency segurança

Check Lazy Mobile's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher segurança risk.

Update frequency

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

Third-party integrations

If Lazy Mobile 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 conformidade

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

Best Practices for Using Lazy Mobile Safely

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

Conduct regular audits

Periodically review how Lazy Mobile is used in your workflow. Check for unexpected behavior, permissions drift, and conformidade with your segurança policies.

Keep dependencies updated

Ensure Lazy Mobile and all its dependencies are running the latest stable versions to benefit from segurança patches.

Follow least privilege

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

Monitor for segurança advisories

Subscribe to Lazy Mobile's segurança 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 Lazy Mobile is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Lazy Mobile

Nerq's signals are one input. In the following situations, evaluate Lazy Mobile's measured signals against your own requirements before making a decision:

For each situation, compare Lazy Mobile's measured trust score of 42.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Lazy Mobile is suitable for any particular use.

How Lazy Mobile Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Lazy Mobile's score of 42.5/100 is below the category average of 63/100.

This suggests that Lazy Mobile trails behind many comparable DevOps tools. Organizations with strict segurança 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 moderado 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 Lazy Mobile 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 manutenção patterns change, Lazy Mobile'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 segurança and quality. Conversely, a downward trend may signal reduced manutenção, growing technical debt, or unresolved vulnerabilities. To track Lazy Mobile's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Lazy Mobile&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 — segurança, manutenção, documentação, conformidade, and community — has evolved independently, providing granular visibility into which aspects of Lazy Mobile are strengthening or weakening over time.

Lazy Mobile vs Alternativas

In the devops category, Lazy Mobile scores 42.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Pontos Principais

Perguntas Frequentes

Lazy Mobile é seguro?
Lazy Mobile com um Nerq Trust Score de 42.5/100 (E). Sinal mais forte: manutenção (0/100). Pontuação baseada em Manutenção (0/100), Popularidade (0/100), Documentação (0/100).
Qual é a pontuação de confiança de Lazy Mobile?
Lazy Mobile: 42.5/100 (E). Pontuação baseada em Manutenção (0/100), Popularidade (0/100), Documentação (0/100). As pontuações são atualizadas quando novos dados estão disponíveis. API: GET nerq.ai/v1/preflight?target=Lazy Mobile
Quais são alternativas mais seguras ao Lazy Mobile?
In the Devops category, higher-rated alternatives include ansible/ansible (75/100), FlowiseAI/Flowise (68/100), shareAI-lab/learn-claude-code (72/100). Lazy Mobile scores 42.5/100.
Com que frequência o score de segurança do Lazy Mobile é atualizado?
Nerq recomputes Lazy Mobile's trust score as new data becomes available. Current: 42.5/100 (E). API: GET nerq.ai/v1/preflight?target=Lazy Mobile
Posso usar Lazy Mobile em um ambiente regulado?
Lazy Mobile: 42.5/100 (E). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Veja também

Disclaimer: As pontuações de confiança da Nerq são avaliações automatizadas baseadas em sinais publicamente disponíveis. Não são endossos ou garantias. Sempre realize sua própria verificação.

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