Security Scan Report: ai-disease-prediction.pages.dev

Redirected to:
https://ai-disease-prediction.pages.dev/
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Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://ai-disease-prediction.pages.dev/

Effective URL:
https://ai-disease-prediction.pages.dev/
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AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Self-branded AI health/insurance lead-gen form on free pages.dev. No credential/payment fields or threat-intel hits, but it collects sensitive PII and a signature via FormSubmit to Gmail; unverified and privacy-risky.

Risk Factors (4)
Sensitive personal and insurance-related data, including a signature, is collected through an external FormSubmit endpoint and emailed to a Gmail address.
Meal-coupon gifts are offered as an incentive to submit personal and insurance information.
The site lacks verifiable business identity, and its free pages.dev subdomain has an unknown creation date.
Privacy and data-handling assurances rely only on page text, with no independent verification of the operator.
Safety Factors (5)
Self-branding detected: the page title/meta name matches the domain's own brand, not an impersonated third party.
No password, payment, or disguised credential fields are present.
No Indicators of Compromise, hunting rule malware matches, Safe Browsing hits, or malicious JavaScript behavior were found.
FormSubmit is a legitimate form-backend service, and no cross-origin credential exfiltration was detected.
The page warns users not to enter resident registration numbers or health/diagnosis information.
Domain age information unavailable

Details

Page Title

AI Disease Prediction Application Form

Scan Type

public

Domain Name Analysis

You're looking at domain 'ai-disease-prediction.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'ai-disease-prediction'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ai-disease-prediction.pages.dev/

Page Load Overview

0.64s
Total Load Time
15 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

HTML Lang Attribute:ko
Text Length:1,205 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical42% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
42%
technology software
34%
adult content
27%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.182Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.44.74Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11DF1C760F0EADC7A67278CEC9996AB405297C225FB025408DBEC9D6D4EF9C4417268F8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:59k3SGbhggMcWdYpYCZAFnFoP56mW/7N+y1GIV1Coy0I734Syyh90tdZymCp7GUp:5HGgdcWF4IX67995Nkrl/xpq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7867:IAk0A5EQK0MgxpJAZMCCYCHzICAwkNAEAmC5ERVCGAhDgwQJBoQhgkicEsABrgCoBOHBHQBBCIAAyQYqoUKMxIyhzcCIIMFI

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:c3e7ffffffffe7e7
Perceptual Hash:b3766632333233c6
Difference Hash:4c4e2a1018104c4c
Wavelet Hash:c2c2eece0d0d2525
Color Hash:#783a3f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data