Security Scan Report: clement-test.pages.dev

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Submitted: Jul 7, 2026, 1:26:18 PMCompleted: Jul 7, 2026, 1:27:26 PMpubliccompleted
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Summary

This website contacted 10 IPs in 3 countries across 8 domains to perform 63 HTTP transactions. The main domain is clement-test.pages.dev and was registered NaN years ago.

Submitted URL: https://clement-test.pages.dev/

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site appears to be a legitimate real‑estate service with self‑branding, but unknown subdomain age and external form submission warrant moderate caution.

Risk Factors
Unknown creation date of subdomain
Hosted on a generic PaaS subdomain (.pages.dev)
External form submission to a third‑party email endpoint
Safety Factors
No password or payment fields
No malicious JavaScript or obfuscation
No threat‑intel matches
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Clement TEST - Gestion Premium à Marrakech

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

real estate property

(99%)

Domain Information

The domain 'clement-test.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'clement-test'. Count 5 characters in 'pages' containing two vowels alongside three consonants. Tokenizing the label suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://clement-test.pages.dev/

Page Load Overview

1.67s
Total Load Time
63
HTTP Requests
8
Domains
3.9 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:10,103 chars
Detector Agreement:80%

Website Classification

Primary Category

real estate property99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
99%
download file sharing
92%
cryptocurrency blockchain
91%
social media network
91%
adult content
91%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.44.182Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.66.47.74Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6172.67.154.150Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6192.178.183.95Google · CDNUnited States
AS15169Google LLC
6146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
6142.251.13.94Google · CDNUnited States
AS15169Google LLC
6104.21.6.24Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.65United States
AS16509Amazon.com, Inc.
688.223.92.199Paris, Île-de-France, France
AS47583Hostinger International Limited
6310--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191635F7061F95537519382D5BBA6672F6EE0F603DA465200B6FC0BE80FD7CEAD823168

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:NdNRO+DvE0Ul9DjLQ4xn90gY11LPdAisZ0iBR0isnbOCuu44c/pYuzspR7lFIk9L:9uupc/pLzsnIk9IT6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70624:cYAQAEWhkHCHUJKwULAGaAAYRBADMsFQnEVWOQ5B0RT5hVQNBZB5GIoAiAiAkmIQi8dDUobIwqIQqZAKZgHgDqAkQWpgHMAI

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:bd80bd988c8c84ff
Perceptual Hash:9a4b8533b14e8d6b
Difference Hash:7979713119393575
Wavelet Hash:3d013d99898c85ff
Color Hash:#862d55

Scan History

Scan history not available

Unable to load historical scan data