Är Agentlisa säker?

Agentlisa — Nerq Trust Score 41.5/100 (Betyg E). Poäng baserad på 3 independent trust signals.

Agentlisa är en programvara med ett Nerq-förtroendepoäng på 41.5/100 (E), baserat på 3 oberoende datadimensioner. Underhåll: 0/100. Popularitet: 0/100. Data hämtad från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Senast uppdaterad: n/a. Maskinläsbar data (JSON).

Är Agentlisa säker?

Förtroendepoäng i detalj — Agentlisa has a Nerq Trust Score of 41.5/100 (E). Measured across 3 independent trust signals.

Säkerhetsanalys → Agentlisa integritetsrapport →

Vad är Agentlisas förtroendepoäng?

Agentlisa har ett Nerq-förtroendepoäng på 41.5/100 med betyget E. Denna poäng baseras på 3 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.

Underhåll
0
Dokumentation
0
Popularitet
0

Vilka är de viktigaste säkerhetsresultaten för Agentlisa?

Agentlisas starkaste signal är underhåll på 0/100. Inga kända sårbarheter har upptäckts.

⚠Underhåll: 0/100 — låg underhållsaktivitet
⚠Dokumentation: 0/100 — begränsad dokumentation
⚠Popularitet: 0/100 — 1 stjärnor på erc8004

Vad är Agentlisa och vem underhåller det?

Utvecklare0xb5051843ea5de8815d16c40fdfdeecd8c7afa677
KategoriSäkerhet
Stjärnor1
Källahttps://8004scan.io/agents/agentlisa
Protocolsx402

Populära alternativ inom säkerhet

bee-san/Ciphey
63.4/100 · C
github
usestrix/strix
64.4/100 · C
github
SWE-agent/SWE-agent
76.9/100 · B
github
promptfoo/promptfoo
82.0/100 · A
github
TecharoHQ/anubis
62.9/100 · C
github

What Is Agentlisa?

Agentlisa is a säkerhet tool: AgentLISA secures smart contracts at the speed of modern development.. It has 1 GitHub-stjärnor. Nerq Trust Score: 42/100 (E).

Nerq independently analyzes every programvara, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.

How Nerq Assesses Agentlisa's Safety

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

The overall Trust Score of 41.5/100 (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 Agentlisa?

Agentlisa is commonly evaluated by:

How to read the signals: Agentlisa's measured signals (underhåll 0/100, dokumentation 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 Agentlisa's Safety Yourself

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

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

Common Safety Concerns with Agentlisa

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

Data handling

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

Dependency säkerhet

Check Agentlisa's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.

Update frequency

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

Third-party integrations

If Agentlisa 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 regelefterlevnad

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

Best Practices for Using Agentlisa Safely

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

Conduct regular audits

Periodically review how Agentlisa is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.

Keep dependencies updated

Ensure Agentlisa and all its dependencies are running the latest stable versions to benefit from säkerhet patches.

Follow least privilege

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

Monitor for säkerhet advisories

Subscribe to Agentlisa's säkerhet 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 Agentlisa is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Oberoende Review of Agentlisa

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

For each situation, compare Agentlisa's measured trust score of 41.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Agentlisa is suitable for any particular use.

How Agentlisa Compares to Industry Standards

Nerq indexes over 6 million programvaras, apps, and packages across dozens of categories. Among säkerhet tools, the average Trust Score is 67/100. Agentlisa's score of 41.5/100 is below the category average of 67/100.

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

Agentlisa vs Alternativ

In the säkerhet category, Agentlisa scores 41.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Viktigaste slutsatser

Vanliga frågor

Är Agentlisa säker?
AgentLISA med ett Nerq-förtroendepoäng på 41.5/100 (E). Starkaste signalen: underhåll (0/100). Poäng baserad på Underhåll (0/100), Popularitet (0/100), Dokumentation (0/100).
Vad är Agentlisas förtroendepoäng?
AgentLISA: 41.5/100 (E). Poäng baserad på Underhåll (0/100), Popularitet (0/100), Dokumentation (0/100). Poäng uppdateras när ny data finns tillgänglig. API: GET nerq.ai/v1/preflight?target=AgentLISA
Vilka är säkrare alternativ till Agentlisa?
I kategorin Säkerhet, higher-rated alternatives include bee-san/Ciphey (63/100), usestrix/strix (64/100), SWE-agent/SWE-agent (77/100). AgentLISA scores 41.5/100.
Hur ofta uppdateras Agentlisas säkerhetspoäng?
Nerq recomputes Agentlisa's trust score as new data becomes available. Current: 41.5/100 (E). API: GET nerq.ai/v1/preflight?target=AgentLISA
Kan jag använda Agentlisa i en reglerad miljö?
Agentlisa: 41.5/100 (E). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Se även

Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.

Vi använder cookies för analys och cachelagring. Integritet