Security Scan Report: azure-pine-bb96-a38f7c99.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 2 domains to perform 63 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://azure-pine-bb96-a38f7c99.pages.dev/ru-ru

AI Security Verdict

Moderate Risk

Confidence: 62%

4
Risk Score

Look-alike Cloudflare speed test hosted on a pages.dev subdomain using another company's branding, but it has no forms, no credential collection, no malware and no threat-intel hits. Use caution; do not enter data.

Risk Factors (3)
Third-party subdomain on a shared hosting platform reproduces Cloudflare's speed test branding while not being Cloudflare's official speed test site
Subdomain creation date unknown behind the platform apex; unranked in Cisco Umbrella
Potential to be used as a look-alike service that collects IP/network metadata under another company's name
Safety Factors (5)
No forms of any kind — no password, payment or email collection
No Indicators of Compromise, no YARA malware, no Safe Browsing or phishing/malware IDS alerts
No credential exfiltration and no cross-origin form submissions
Content matches Cloudflare's publicly available open-source speed test tool, a common legitimate deployment pattern
Off-site links are limited to Cloudflare's own domains
Domain age information unavailable

Details

Page Title

Тест скорости интернета — измерение производительности сети | Cloudflare

Scan Type

public

Domain Name Analysis

You're looking at domain 'azure-pine-bb96-a38f7c99.pages.dev' on the developer-focused generic top-level domain (.dev); it also runs on subdomain 'azure-pine-bb96-a38f7c99'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. It segments into 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 https://azure-pine-bb96-a38f7c99.pages.dev/ru-ru

Page Load Overview

1.47s
Total Load Time
680 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru-RU
Text Length:2,163 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.
10104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10104.18.5.50Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10104.18.10.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
10104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
636--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13583C872C29221DD559BCF88A2A8730C311AB245F17740F46B796E7AACC3DF355F4A88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:7FoVik583OJpWPRzq6RXDmVcccccccccccccccccccc77777777766ZZZZZZZZgT:7FoV55CmVcccccccccccccccccccc77C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85179:Rxh0GQoCyOSlDEJDAiD1WwwogIpbFii7aIKcSKAYBYQCkZwCACgI2SwMzAAA1gTIdb1oNAQUI4Pw4DJQhJDJSRXAjkBAQqEQ

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:8383c98983fbfff9
Perceptual Hash:bb3f86863b124b86
Difference Hash:65661b1b12030043
Wavelet Hash:8193818183fbffb1
Color Hash:#931f3c

Other Hashes

Crop Resistant:65661b1b12030043

Scan History

Scan history not available

Unable to load historical scan data