Er Filesize Parser sikker?
Filesize Parser — Nerq Trust Score 60.5/100 (Karakter C). Baseret på analyse af 1 tillidsdimensioner vurderes det som generelt sikkert men med visse bekymringer. Sidst opdateret: 2026-04-09.
Brug Filesize Parser med forsigtighed. Filesize Parser er en software tool med en Nerq Tillidsscore på 60.5/100 (C), based on 3 uafhængige datadimensioner. Under Nerqs verificerede tærskel Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: 2026-04-09. Maskinlæsbare data (JSON).
Er Filesize Parser sikker?
CAUTION — Filesize Parser has a Nerq Trust Score of 60.5/100 (C). Har moderat tillidssignaler, men viser nogle bekymrende områder that warrant attention. Suitable for development use — review sikkerhed and vedligeholdelse signals before production deployment.
Hvad er Filesize Parsers tillidsscore?
Filesize Parser har en Nerq Trust Score på 60.5/100 med karakteren C. Denne score er baseret på 1 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Filesize Parser?
Filesize Parsers stærkeste signal er overholdelse på 100/100. Ingen kendte sårbarheder er fundet. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Filesize Parser og hvem vedligeholder det?
| Udvikler | patrickkettner |
| Kategori | Uncategorized |
| Kilde | https://www.npmjs.com/package/filesize-parser |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Filesize Parser på andre platforme
Samme udvikler/virksomhed i andre registre:
What Is Filesize Parser?
Filesize Parser is a software tool in the uncategorized category: Takes human readable filesystem size strings and gives you an int representing that many bytes.. Nerq Trust Score: 60/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.
How Nerq Assesses Filesize Parser's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Filesize Parser performs in each:
- Compliance (100/100): Filesize Parser is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 60.5/100 (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 Filesize Parser?
Filesize Parser 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: Filesize Parser is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhed posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Filesize Parser's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gennemgå repository sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Filesize Parser's dependency tree. - Anmeldelse permissions — Understand what access Filesize Parser requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Filesize Parser 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=filesize-parser - Gennemgå license — Confirm that Filesize Parser'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 sikkerhed concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Filesize Parser
When evaluating whether Filesize Parser is safe, consider these category-specific risks:
Understand how Filesize Parser processes, stores, and transmits your data. Gennemgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Filesize Parser's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.
Regularly check for updates to Filesize Parser. Sikkerhed patches and bug fixes are only effective if you're running the latest version.
If Filesize Parser 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 Filesize Parser's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Filesize Parser in violation of its license can expose your organization to legal liability.
Best Practices for Using Filesize Parser Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Filesize Parser while minimizing risk:
Periodically review how Filesize Parser is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.
Ensure Filesize Parser and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.
Grant Filesize Parser only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Filesize Parser's sikkerhed advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Filesize Parser is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Filesize Parser?
Even promising tools aren't right for every situation. Consider avoiding Filesize Parser in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional overholdelse review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Filesize Parser's trust score of 60.5/100 meets your organization's risk tolerance. We recommend running a manual sikkerhed assessment alongside the automated Nerq score.
How Filesize Parser 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. Filesize Parser's score of 60.5/100 is near the category average of 62/100.
This places Filesize Parser in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks moderat 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 Filesize Parser 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 vedligeholdelse patterns change, Filesize Parser'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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, growing technical debt, or unresolved vulnerabilities. To track Filesize Parser's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=filesize-parser&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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Filesize Parser are strengthening or weakening over time.
Vigtigste pointer
- Filesize Parser has a Trust Score of 60.5/100 (C) and is not yet Nerq Verified.
- Filesize Parser shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Filesize Parser scores near 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.
Ofte stillede spørgsmål
Er Filesize Parser sikker?
Hvad er Filesize Parsers tillidsscore?
Hvad er sikrere alternativer til Filesize Parser?
Hvor ofte opdateres Filesize Parsers sikkerhedsscore?
Kan jeg bruge Filesize Parser i et reguleret miljø?
Se også
Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.