Security Scan Report: hazel-finch-9be5-2e27e655.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 2 domains to perform 58 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://hazel-finch-9be5-2e27e655.pages.dev/fr-fr

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

Replica of Cloudflare's speed test on a random pages.dev subdomain with Cloudflare branding. No forms, no credential or payment capture, no threat-intel or YARA hits — brand mismatch only, so moderate risk; prefer speed.cloudflare.com.

Risk Factors (3)
Brand mismatch: a Cloudflare-branded speed-test replica hosted on an arbitrary, unranked pages.dev subdomain whose actual creation date is unknown (the apex registration is the platform's, not this page's)
Unranked domain claiming to be a major brand's service
OCR shows the test failing ('Unable to connect to website'), indicating an incomplete clone rather than the genuine Cloudflare tool
Safety Factors (5)
No login, password, or payment fields anywhere on the page
No forms at all, therefore no credential or card data collection
No Indicators of Compromise, no YARA malware matches, no known-kit roster hits
All outbound script destinations belong to Cloudflare's own ranked infrastructure
Content is informational (speed-test UI plus privacy/measurement notices), with no download, purchase, or signup funnel
Domain age information unavailable

Details

Page Title

Test de vitesse Internet - Mesurer les performances réseau | Cloudflare

Scan Type

public

Domain Name Analysis

The domain 'hazel-finch-9be5-2e27e655.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'hazel-finch-9be5-2e27e655'. The core label 'pages' covers 5 characters containing two vowels alongside 3 consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hazel-finch-9be5-2e27e655.pages.dev/fr-fr

Page Load Overview

2.15s
Total Load Time
540 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:fr-FR
Text Length:2,378 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.18.5.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.18.10.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
586--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C983B873C29261DD54DBCF8866A4631C321AB205F07680F4ABB96E66DCC7DF315F4A88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:WiO/MOJhsM9dYBRhGmVcccccccccccccccccccc77777777766ZZZZZZZZggfff7:WjLmVcccccccccccccccccccc7777777

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83016:AEOiGKkASUy7EoOJKQoQB2h4sIx7JoAM6AADIJApSIqcobolGArIMm4MgQIIgFmBgAhxQAESETCPRTFCAJCcEAcGExIVEQ6w

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:8783c98983fbfff9
Perceptual Hash:bb3f86863b324b84
Difference Hash:69621b1b12230043
Wavelet Hash:818b818183fbffb1
Color Hash:#35d22d

Other Hashes

Crop Resistant:69621b1b12230043

Scan History

Scan history not available

Unable to load historical scan data