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Security report for huggingface.co

Hugging Face · Technology · United States

Medium risk. 4 critical or high findings in Security headers and GDPR outside view.

Security score

75/100

Risk levelMedium

0–100, higher is better. How it is calculated

Hugging Face is a leading AI platform and community focused on advancing and democratizing artificial intelligence through open source and open science. The company provides a collaborative platform where machine learning practitioners and enterprises can share and deploy models, datasets, and AI applications. Their market position is strong, supported by a large user base and partnerships with major technology companies. Technically, the website employs modern frameworks such as Svelte, integrates with Stripe for payments, and uses AWS WAF for security, reflecting a mature and scalable infrastructure. The site is well-optimized for performance, mobile responsiveness, and accessibility, providing an excellent user experience. Security posture is solid with HTTPS and WAF protection, though there is room for improvement in explicit security headers and published security policies. Privacy compliance is good with clear privacy and terms pages, but lacks a visible cookie consent mechanism. Overall, Hugging Face presents a professional, trustworthy, and technically advanced online presence suitable for its enterprise and community audience.

Scanned

NIS2 and GDPR posture

GDPR outside view
58/ 100 · Medium
Checks completed
7of 7

NIS2 Art. 21(2)

  1. (a) Risk analysis and security policies: Not visible from outside
  2. (b) Incident handling: One indicator
  3. (c) Business continuity, backups and crisis management: Not visible from outside
  4. (d) Supply chain security: Not visible from outside
  5. (e) Secure acquisition, development and maintenance, including vulnerability handling: Partly checked
  6. (f) Assessing the effectiveness of security measures: Not visible from outside
  7. (g) Cyber hygiene and security training: Not visible from outside
  8. (h) Cryptography and encryption: Partly checked
  9. (i) HR security, access control and asset management: One indicator
  10. (j) Multi-factor authentication and secured communications: Not visible from outside

This scan rated NIS2 with an earlier keyword method that is no longer shown; rescan for the per-article view. Risk management, continuity, supply chain, training, MFA, management oversight (Art. 20) and incident reporting (Art. 23) need internal evidence, and Guard cannot tell whether NIS2 applies to this organisation.

GDPR is indicative only, based on publicly visible signals: Articles 7, 12, 13 and 32 of Regulation (EU) 2016/679 and Article 5(3) of the ePrivacy Directive. Not a certification or legal assessment.

Priority findings

4 findings rated critical or high. Fix these first.

  1. Security headers

    Security headers are instructions your web server sends to every visitor’s browser. Missing ones leave visitors more exposed to attacks such as clickjacking and injected scripts.

    • High

      Missing Strict-Transport-Security header

      Forces HTTPS connections

      What to do: Add "Strict-Transport-Security: max-age=31536000; includeSubDomains; preload"

      • CWE-319
      • OWASP A04:2025
      • ASVS V3.4.1
    • High

      Missing Content-Security-Policy header

      Controls resources the browser is allowed to load

      What to do: Implement a Content-Security-Policy appropriate for your application

      • ASVS V3.4.3
      • OWASP Secure Headers: OWASP Secure Headers Project recommends Content-Security-Policy: default-src 'self'; form-action 'self'; base-uri 'self'; object-src 'none';…

  2. GDPR outside view

    These are the privacy signals visitors and data protection authorities look for under GDPR.

    • High

      No Cookie Policy found

      GDPR requires clear information about cookie usage

      What to do: Add a dedicated cookie policy explaining cookie usage and purposes

    • High

      No Cookie Consent Banner found

      GDPR requires explicit consent for non-essential cookies

      What to do: Implement a cookie consent banner that appears on first visit

Need hands-on remediation? Email guard@offseq.com

Keep watching huggingface.co

This scan found 19 issues across 6 checks. Monitoring re-runs those checks daily, emails you when something material changes and records each fix, so you can show progress.

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  • TLS certificates and expiry
  • DNS records
  • SPF, DKIM and DMARC
  • Security headers
  • GDPR and NIS2 posture
  • Exposed services
  • Third-party trackers
  • Security score drift

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Results by check

Each check with its score, findings and the evidence it collected.

How this score is calculated

The security score runs 0–100, higher is better. It is the plain average of the security checks that completed in this scan, each counted equally. A check that could not run is left out: it counts neither as a pass nor as a fail.

Counted in this score

SSL/TLS
100
Security headers
35
Email security
75
DNS health
80
Network security
100
GDPR outside view
58
Average
75

Not counted

  • NIS2 outside view: Re-weights evidence from the TLS, email, DNS, network and hygiene checks, so counting it would count that evidence twice. Shown on its own.
  • OffSeq Observations: An AI reading of the site, useful context but not reproducible evidence. Shown on its own.

Findings that cap the score at 49

Each of these is serious on its own, so while any is present the site cannot rate better than high risk, however good the other checks are.

  • The certificate is not trusted by browsers
  • The website is not served over HTTPS
  • A database, remote desktop, file-sharing or Telnet service is reachable from the internet
  • The page loads a script from a compromised source
  • The domain registration has expired
  • SPF authorises every server to send mail as the domain

Partial scans

When the site blocks Guard or most checks cannot run, the score covers only the checks that ran (usually DNS and email), is capped at 75 and is shown as partial, without a risk level.

Risk levels

  • Critical0–25
  • High26–49
  • Medium50–75
  • Low76–100

Technical appendix

Business context, site observations and technical notes gathered during the scan, and the standards behind each reference.

Business context

Business profile

Hugging Face operates a platform business model centered on open source AI tooling and community collaboration, supplemented by paid compute and enterprise services. Their competitive advantage lies in their extensive model and dataset repository, strong community engagement, and enterprise-grade offerings. Revenue streams include compute usage fees and enterprise subscriptions. The target customers range from individual AI researchers to large organizations. Growth indicators include a large number of hosted models and datasets, active community applications, and partnerships with major tech companies. The company maintains a robust ecosystem with integrations and partnerships, enhancing its market reach and credibility.

Security posture

The website demonstrates a mature security posture with enforced HTTPS, use of AWS WAF, and integration of CAPTCHA mechanisms (though disabled on signup). No sensitive data exposure or vulnerable libraries were detected in the HTML content. However, the absence of explicit security headers (e.g., CSP, HSTS) and lack of publicly available security policies or incident response contacts represent gaps. The site does not publish a vulnerability disclosure or security.txt file, which could improve transparency and trust. Overall, the security maturity is good but could be enhanced by formalizing security documentation and improving header configurations.

Recommendations

  1. Implement and display a cookie consent banner to comply with privacy regulations and improve user transparency.
  2. Add explicit security headers such as Content Security Policy (CSP), HTTP Strict Transport Security (HSTS), and X-Frame-Options to strengthen browser security.
  3. Publish a dedicated security policy page and provide clear incident response contact channels to enhance trust and preparedness.
  4. Consider publishing a vulnerability disclosure policy or security.txt file to encourage responsible reporting and improve security posture.
  5. Regularly audit third-party scripts and dependencies to ensure no vulnerable libraries are included and maintain secure integrations.
Site observations

Automated reading of the public site. Ratings are indicative.

Business

Company
Hugging Face
Description
The platform where the machine learning community collaborates on models, datasets, and applications. They advance and democratize artificial intelligence through open source and open science.
Key services
Model hosting and sharing, Dataset hosting and sharing, Spaces (AI applications), Compute services (Inference endpoints, GPU upgrades), Enterprise solutions (security, support, access control)
Content quality
excellent
Branding
consistent

Technology

Stack
JavaScript, Svelte, Stripe, KaTeX, Google Fonts, AWS WAF
Frameworks
Svelte
Platforms
Web
Performance
fast
Mobile
excellent
Accessibility
good
SEO
good

Security

Observed score
85/100
Good practices seen
  • HTTPS enforced
  • Use of AWS WAF for protection
  • Captcha disabled on signup but captcha API key present
  • No exposed sensitive data in HTML

Analytics and tracking

Services
Plausible Analytics
Tracking level
minimal
Privacy practices
good

Advertising

Tracking pixels
Plausible Analytics
Marketing tools
Stripe (payment processing)
Transparency
basic

Site quality

Design
excellent
User experience
excellent
Content relevance
excellent
Navigation
excellent
Professionalism
excellent
Trustworthiness
high

Key observations

  1. Website is fully accessible with rich content and no blocking.
  2. Strong focus on AI community and open source collaboration.
  3. Enterprise-grade offerings with clear pricing and support.
  4. Use of modern web technologies and good performance.
  5. Limited explicit security policy or incident response info publicly available.
  6. No visible cookie consent banner despite cookie usage.
  7. Clear and comprehensive privacy and terms of service pages.
  8. Multiple trusted enterprise customers showcased.
Technical notes

Notes

The website uses a modern tech stack with Svelte framework, integrates third-party services like Stripe for payments, and uses AWS WAF for web application firewall protection. Performance is optimized with preloading of scripts and styles, and mobile optimization is excellent. The site uses Google Fonts and KaTeX for rendering math, indicating support for technical content. The infrastructure appears robust and scalable, suitable for a large enterprise platform. Technical risks are minimal but could include dependency on third-party services and the need for continuous security header improvements.
Standards and sources

Reference chips under each finding point to the standard, regulation or specification the finding relates to. They are taken from the official datasets below and mapped conservatively: a finding with no defensible link shows none. NIS2 and GDPR references mark where a finding is relevant evidence, not a compliance verdict. Implementing Regulation (EU) 2024/2690 binds digital infrastructure and digital service providers; for other entities it is the most detailed public reading of the Article 21 measures. WCAG, EN 301 549, European Accessibility Act and Web Accessibility Directive references name the requirement an automated accessibility rule relates to; they are not a conformance verdict.

Retrieved 2026-10-25

Earlier scans of this domain

  1. 75/100Medium27 findingsView report
  2. 75/100 +3Medium27 findingsView report
  3. 72/100Medium28 findingsView report
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