Security Scan Report: caixin-design-docs.pages.dev

Redirected to:
https://caixin-design-docs.pages.dev/infrastructure-cloudflare
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://caixin-design-docs.pages.dev/infrastructure-cloudflare.html

Effective URL:
https://caixin-design-docs.pages.dev/infrastructure-cloudflare
Redirected

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Technical documentation for a Cloudflare-based tutor-management system on a pages.dev subdomain. No forms, no credential or payment collection, no impersonation, and no threat-intel, hunting rule or phishing/malware IDS hits; only unranked/unknown-age hosting-platform signals.

Risk Factors (1)
Hosted on a shared pages.dev subdomain whose actual creation date is unknown, so the platform apex age cannot be attributed to this page and it is unranked in Cisco Umbrella
Safety Factors (5)
No forms, no password or payment fields, and no disguised fields on the page
No Indicators of Compromise, no malware/JS hunting-rule hits, no Safe Browsing or phishing/malware IDS alerts
No brand impersonation — the page documents its own project and references Cloudflare only as a technology provider
Content is substantive, internally consistent technical documentation, not a lure or credential-capture page
External resources are limited to standard public CDNs (cdn.jsdelivr.net, cdnjs.cloudflare.com)
Domain age information unavailable

Details

Page Title

Cloudflare 伺服器與雲端架構規劃書 - 家教中心老師管理系統

Scan Type

public

Domain Name Analysis

You're looking at domain 'caixin-design-docs.pages.dev' on the developer-focused generic top-level domain (.dev), featuring subdomain 'caixin-design-docs'. Count 5 characters in 'pages' holding two vowels versus three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://caixin-design-docs.pages.dev/infrastructure-cloudflare.html

Page Load Overview

0.77s
Total Load Time
760 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-Hant
Text Length:3,827 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software99% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
99%
documentation technical
94%
government public service
49%
education learning
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.66.44.238Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.66.47.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
54--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123031A01D627153AD422628ED7F22F9925F8E40BC24598C8FF9D937A1FC2D9528F1F49

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:O7wRKnIcL8QRrFSM8bSkdW8l1HSpvP1/9:YIcJrMThk8l1G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40062:0YOgAgFQggGBQFCDBIFQBMDIukXQaJAwALyPCSgCEABLEEMAjFAsiFSqkA5AsG12zHAA0UIyZQsHiiACJAwCAoAgJwACsCiA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:7e828fd9e1e7f7f7
Perceptual Hash:e41946c7cb8a9bc3
Difference Hash:e4269cb3c6c4e4c4
Wavelet Hash:7c02067961737773
Color Hash:#3a784b

Other Hashes

Crop Resistant:e4269cb3c6c4e4c4

Scan History

Scan history not available

Unable to load historical scan data