Apakah Lobe Chat Aman?

Lobe Chat — Nerq Trust Score 63.4/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-12.

Gunakan Lobe Chat dengan hati-hati. Lobe Chat adalah software tool dengan Skor Kepercayaan Nerq sebesar 63.4/100 (C), based on 5 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Keamanan: 0/100. Pemeliharaan: 0/100. Popularitas: 1/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-12. Data yang dapat dibaca mesin (JSON).

Apakah Lobe Chat Aman?

CAUTION — Lobe Chat has a Nerq Trust Score of 63.4/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.

Analisis Keamanan → Laporan Privasi Lobe Chat →

Berapa skor kepercayaan Lobe Chat?

Lobe Chat memiliki Skor Kepercayaan Nerq 63.4/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
81
Pemeliharaan
0
Dokumentasi
0
Popularitas
1

Apa temuan keamanan utama untuk Lobe Chat?

Sinyal terkuat Lobe Chat adalah kepatuhan pada 81/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 0/100 — aktivitas pemeliharaan rendah
Kepatuhan: 81/100 — covers 42 of 52 jurisdictions
Dokumentasi: 0/100 — dokumentasi terbatas
Popularitas: 1/100 — 160 bintang di docker hub

Apa itu Lobe Chat dan siapa yang mengelolanya?

Pembuatlobehub
KategoriCommunication
Bintang160
Sumberhttps://hub.docker.com/r/lobehub/lobe-chat
Protocolsdocker

Kepatuhan Regulasi

EU AI Act Risk ClassMINIMAL
Compliance Score81/100
JurisdictionsAssessed across 52 jurisdictions

Alternatif Populer di communication

CorentinJ/Real-Time-Voice-Cloning
71.3/100 · B
github
lencx/ChatGPT
73.8/100 · B
github
janhq/jan
73.8/100 · B
github
2noise/ChatTTS
73.8/100 · B
github
chatboxai/chatbox
73.8/100 · B
github

What Is Lobe Chat?

Lobe Chat is a software tool in the communication category: An extensible chatbot framework for deploying private ChatGPT/LLM web apps.. It has 160 GitHub stars. Nerq Trust Score: 63/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses Lobe Chat's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Lobe Chat performs in each:

The overall Trust Score of 63.4/100 (C) 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 Lobe Chat?

Lobe Chat is designed for:

Risk guidance: Lobe Chat is suitable for development and testing environments. Before production deployment, conduct a thorough review of its keamanan posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Lobe Chat's Safety Yourself

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

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

Common Safety Concerns with Lobe Chat

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

Data handling

Understand how Lobe Chat processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

Check Lobe Chat's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.

Update frequency

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

Third-party integrations

If Lobe Chat 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 kepatuhan

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

Lobe Chat and the EU AI Act

Lobe Chat is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.

Best Practices for Using Lobe Chat Safely

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

Conduct regular audits

Periodically review how Lobe Chat is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.

Keep dependencies updated

Ensure Lobe Chat and all its dependencies are running the latest stable versions to benefit from keamanan patches.

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Lobe Chat's keamanan 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 Lobe Chat is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Lobe Chat?

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

For each scenario, evaluate whether Lobe Chat's trust score of 63.4/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.

How Lobe Chat Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Lobe Chat's score of 63.4/100 is above the category average of 62/100.

This positions Lobe Chat favorably among communication tools. While it outperforms the average, there is still room for improvement in certain trust dimensi.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks sedang 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 Lobe Chat 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 pemeliharaan patterns change, Lobe Chat'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track Lobe Chat's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=lobe-chat&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of Lobe Chat are strengthening or weakening over time.

Lobe Chat vs Alternatif

In the communication category, Lobe Chat scores 63.4/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Lobe Chat Aman?
Gunakan dengan hati-hati. lobe-chat dengan Skor Kepercayaan Nerq sebesar 63.4/100 (C). Sinyal terkuat: kepatuhan (81/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (0/100), Popularitas (1/100), Dokumentasi (0/100).
Berapa skor kepercayaan Lobe Chat?
lobe-chat: 63.4/100 (C). Skor berdasarkan Keamanan (0/100), Pemeliharaan (0/100), Popularitas (1/100), Dokumentasi (0/100). Compliance: 81/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=lobe-chat
Apa alternatif yang lebih aman dari Lobe Chat?
Dalam kategori Communication, higher-rated alternatives include CorentinJ/Real-Time-Voice-Cloning (71/100), lencx/ChatGPT (74/100), janhq/jan (74/100). lobe-chat scores 63.4/100.
Seberapa sering skor keamanan Lobe Chat diperbarui?
Nerq continuously monitors Lobe Chat and updates its trust score as new data becomes available. Current: 63.4/100 (C), last terverifikasi 2026-04-12. API: GET nerq.ai/v1/preflight?target=lobe-chat
Bisakah saya menggunakan Lobe Chat di lingkungan yang diatur?
Lobe Chat belum mencapai ambang verifikasi Nerq 70. Tinjauan tambahan disarankan.
API: /v1/preflight Trust Badge API Docs

Lihat juga

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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