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Security report for liblib.art

Technology · China

Medium risk. 8 critical or high findings in Email security, Security headers and 2 other checks.

Security score

61/100

Risk levelMedium

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

LiblibAI is a Chinese AI art creation platform offering a comprehensive suite of AI-powered tools including image and video generation, model sharing, and training capabilities. Positioned as a leading domestic platform, it targets AI creators, designers, and content producers with a business model centered on providing free and premium AI models and online creative tools. The platform integrates modern web technologies such as React, Next.js, and Ant Design, hosted primarily on Alibaba Cloud infrastructure, and employs multiple analytics and tracking services for performance and user behavior monitoring. Security posture is solid with HTTPS enforcement and bot protection via Aliyun Captcha, though explicit security policies and comprehensive security headers are lacking. Privacy compliance is minimal with no visible privacy or cookie policies, which is a notable gap. Overall, the platform is functional, professionally designed, and moderately trustworthy but would benefit from enhanced transparency and compliance documentation.

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. Email security

    SPF, DKIM and DMARC stop others sending email that looks like it comes from your domain, a common route to phishing and invoice fraud.

    • Critical

      No email authentication configured

      Domain is vulnerable to email spoofing

      What to do: Implement SPF, DKIM, and DMARC immediately

  2. 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 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';…
  3. 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 liblib.art

This scan found 23 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
62
Security headers
35
Email security
60
DNS health
75
Network security
100
GDPR outside view
35
Average
61

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

Breach exposure

Leaked credentials and lookalike domains from OffSeq Breach. The counts are free; the detailed lists are paid add-ons.

Dark web exposure

Add-on

Leaked records that mention liblib.art, from OffSeq Breach.

No leaked records found

Breach holds no records for liblib.art right now. New leaks arrive continuously, so monitoring on Breach alerts you if that changes.

Monitor on Breach (opens in a new tab)

Brand lookalikes

Add-on

Domains that imitate liblib.art and could be used for phishing or spoofed email, tracked in OffSeq Breach.

Tracked
1
Registered
1
Resolving
1
High or critical
0

Last checked 2026-07-12

Masked preview

  • li•••••••.comLowvarious

See the full lookalike list

A one-off add-on that lists up to 20 of the highest-risk lookalikes of liblib.art with registration, mail-server, certificate and DNS signals.

Select it in the checkout above.

Lookalike data refreshes continuously. Monitoring on Breach alerts you when a variant is registered, gains a mail server or starts serving HTTPS.

Technical appendix

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

Business context

Business profile

The platform holds a strong market position in the Chinese AI creative technology sector, offering over 100,000 downloadable AI models and online tools for AI-generated art and video. Its revenue streams likely include membership subscriptions, premium model access, and API services. The target audience includes AI artists, developers, and creative professionals seeking advanced AI tools. The partnership with www.liblib.tv suggests an ecosystem approach to content creation and distribution. Growth indicators include active user engagement features like invitation rewards and a broad service portfolio. However, the lack of public contact and corporate registration details limits full business transparency.

Security posture

LiblibAI demonstrates a moderate security maturity level with HTTPS enforced and use of bot mitigation technologies. The presence of multiple analytics and monitoring tools indicates active performance and security monitoring. However, the absence of explicit privacy, cookie, and security policies, as well as minimal security headers, reveals compliance gaps. No vulnerabilities or exposed sensitive data were detected in the analyzed content. Incident response readiness and security culture indicators are not publicly documented, which could impact trust and regulatory compliance.

Recommendations

  1. Publish comprehensive privacy and cookie policies with clear consent mechanisms to improve GDPR and privacy compliance.
  2. Implement and document a formal security policy and incident response plan accessible to users.
  3. Enhance HTTP security headers including Content-Security-Policy, X-Frame-Options, and X-Content-Type-Options.
  4. Provide verified contact information including support and security incident contacts to improve business credibility.
  5. Conduct regular security audits and vulnerability assessments of third-party libraries and dependencies.
Site observations

Automated reading of the public site. Ratings are indicative.

Business

Description
AI绘画原创模型分享社区,10万+模型免费下载;原汁原味的webUI、comfyUI,在线AI绘图工具免费使用;还可在线进行模型训练。欢迎每一位创作者加入,共同探索AI绘画
Key services
AI绘画模型分享, 在线AI绘图工具, 模型训练, 视频生成, 图片生成, API服务
Content quality
good
Branding
consistent

Technology

Stack
React, Next.js, Ant Design, Aliyun RUM, Google Tag Manager, Bing UET, Baidu Analytics, Howxm SDK, Aliyun Captcha
Frameworks
Next.js, Ant Design
Platforms
Web
Performance
moderate
Mobile
good
Accessibility
basic
SEO
basic

Security

Observed score
80/100
Good practices seen
  • HTTPS enforced
  • Use of Aliyun Captcha for bot protection
  • Use of Aliyun RUM for monitoring
  • No exposed sensitive data in HTML

Analytics and tracking

Services
Google Analytics, Baidu Analytics, Aliyun RUM, Bing UET
Tracking level
moderate
Privacy practices
poor

Advertising

Ad networks
Bing Ads
Tracking pixels
Baidu Analytics, Bing UET, Aliyun RUM
Marketing tools
Baidu Analytics, Aliyun RUM
Transparency
basic

Site quality

Design
good
User experience
good
Content relevance
good
Navigation
good
Professionalism
good
Trustworthiness
moderate

Key observations

  1. Website is a Chinese AI art creation platform with multiple AI tools and model sharing
  2. No explicit privacy, cookie, or terms of service policies found on homepage
  3. Uses modern web technologies and multiple analytics/tracking services
  4. No direct contact emails or phone numbers found in HTML content
  5. Security headers are minimal but HTTPS is enforced
  6. No WAF or blocking detected
  7. Content is safe and suitable for general audiences
  8. Business information is limited but consistent with a tech platform
  9. Multiple external domains used for static content and analytics
  10. Login modal offers incentives for registration
Technical notes

Notes

The website is built on a modern React and Next.js framework with Ant Design UI components, ensuring a responsive and user-friendly interface. Hosting on Alibaba Cloud provides robust infrastructure support. The site uses multiple third-party analytics and tracking services, which may impact privacy compliance. Performance is moderate with preloading and deferred script loading techniques observed. Accessibility features are basic and could be improved. The technical stack is current but would benefit from enhanced security configurations and privacy-focused implementations.
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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