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Security report for fast.ai

fast.ai · Education · N/a

Medium risk. 8 critical or high findings in Security headers, GDPR outside view and 1 other check.

Security score

60/100

Risk levelMedium

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

fast.ai is an educational organization focused on making deep learning and neural networks accessible through practical courses, open-source software libraries, and published materials. The website serves as a hub for their courses, software (fastai and nbdev), and blog content, targeting developers and learners interested in AI and machine learning. The organization is recognized in reputable media outlets, enhancing its credibility. Technically, the website uses modern frameworks such as Bootstrap and Quarto, with good mobile optimization and fast performance. Security posture is adequate with HTTPS enabled, but lacks visible security headers and formal privacy or cookie policies. WHOIS data is unavailable due to malformed responses, limiting domain trust verification. Overall, the site is professional, content-rich, and trustworthy but could improve privacy compliance and security best practices.

Scanned

NIS2 and GDPR posture

GDPR outside view
35/ 100 · High
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

8 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 X-Frame-Options header

      Prevents clickjacking attacks

      What to do: Add "X-Frame-Options: DENY" or "X-Frame-Options: SAMEORIGIN"

    • 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 Privacy Policy found

      GDPR requires a clear and accessible privacy policy

      What to do: Add a comprehensive privacy policy page and link to it prominently

    • 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

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

Keep watching fast.ai

This scan found 26 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.

Daily monitoring

Recommended

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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
75
Security headers
15
Email security
70
DNS health
65
Network security
100
GDPR outside view
35
Average
60

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

fast.ai occupies a niche in AI education with a strong open-source and community-driven approach. Their business model revolves around providing free or affordable educational content, software tools, and a published book, supported by community engagement and scholarships. The target audience includes coders, AI researchers, and learners seeking practical deep learning skills. The organization benefits from media recognition and a consistent brand presence. The lack of explicit business contact information and WHOIS transparency slightly limits external trust but does not detract from their established reputation in the AI education sector.

Security posture

The website demonstrates a baseline security posture with HTTPS enforced and no visible exposed sensitive data. However, the absence of security headers such as Content-Security-Policy and Strict-Transport-Security reduces defense-in-depth. No forms or input fields are present on the main page, minimizing attack surface. There is no evidence of published security policies, incident response contacts, or vulnerability disclosure mechanisms. The lack of privacy and cookie policies indicates potential compliance gaps with GDPR and other privacy regulations. Overall, the security maturity is moderate but could be enhanced by adopting standard security headers, formal policies, and transparency measures.

Recommendations

  1. Implement and publish comprehensive privacy and cookie policies with user consent mechanisms to improve compliance.
  2. Add standard security headers (CSP, HSTS, X-Frame-Options) to strengthen security posture.
  3. Provide clear contact information for security incidents and consider publishing a security.txt file.
  4. Enhance WHOIS data transparency or use a registrar that provides complete WHOIS information to improve domain trust.
  5. Regularly audit and update website security and privacy practices to maintain high trust and compliance.
Site observations

Automated reading of the public site. Ratings are indicative.

Business

Company
fast.ai
Description
fast.ai provides practical deep learning courses, software libraries for PyTorch, and educational resources aimed at making neural networks accessible and less intimidating.
Key services
Practical Deep Learning for Coders courses, fastai software library for PyTorch, nbdev software tool, Educational blog and publications, Published book on deep learning
Content quality
excellent
Branding
consistent

Technology

Stack
HTML5, CSS3, JavaScript, Bootstrap, Quarto, MathJax, ClipboardJS, Fuse.js
Frameworks
Bootstrap, Quarto
Performance
fast
Mobile
excellent
Accessibility
good
SEO
good

Security

Observed score
85/100
Good practices seen
  • HTTPS enabled
  • No visible exposed sensitive data
  • No forms detected to collect user input on main page

Analytics and tracking

Tracking level
minimal
Privacy practices
poor

Advertising

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 detected.
  2. No privacy, cookie, or terms of service policies found on main site.
  3. No contact emails or phone numbers explicitly provided on main page.
  4. Strong focus on AI education and open source software.
  5. No visible security headers detected in provided data.
  6. No forms present to collect user data on main page.
  7. Social media presence includes GitHub and Twitter links.
  8. Use of modern web technologies and frameworks.
  9. No explicit security or incident response policies found.
  10. WHOIS data unavailable, limiting domain trust verification.
Technical notes

Notes

The website is built using modern web technologies including Bootstrap for responsive design and Quarto for content management. It leverages JavaScript libraries such as ClipboardJS and Fuse.js for enhanced user interaction and search functionality. MathJax is used for rendering mathematical notation, indicating technical content sophistication. The site loads quickly and is mobile-optimized with clear navigation and structured content. No CMS is explicitly detected, suggesting a custom or static site generation approach. Hosting provider details are not evident from the content. Overall, the technical infrastructure supports a high-quality user experience with opportunities to improve security configurations.
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

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