Security Scan Report: biokray-test3.pages.dev

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Submitted: Dec 10, 2025, 7:58:36 AMCompleted: Dec 10, 2025, 7:58:54 AMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 3 domains to perform 32 HTTP transactions. The main domain is biokray-test3.pages.dev.

Submitted URL: https://biokray-test3.pages.dev/ENG/index_ENG.html

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Page content appears nonsensical rather than targeted phishing
Domain age unknown but no other red flags
Domain age information unavailable

Details

Page Title

BioKray

Scan Type

public

Language

🇺🇦

UK

(80% confidence)

Category

government public service

(39%)

Domain Information

Domain 'biokray-test3.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'biokray-test3'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside three consonants. Word splitting yields 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://biokray-test3.pages.dev/ENG/index_ENG.html

Page Load Overview

5.45s
Total Load Time
32
HTTP Requests
3
Domains
30 KB
Total Size

Language Analysis

Primary Language

🇺🇦Ukrainian
Code: uk
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:uk
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:uk
Text Length:1,081 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service39% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
39%
adult content
38%
education learning
33%
healthcare medical
31%
phishing scam
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.18.11.207United States
AS13335CLOUDFLARENET
3104.18.10.207United States
AS13335CLOUDFLARENET
3142.251.140.170United States
AS15169GOOGLE
3188.114.96.3United States
AS13335CLOUDFLARENET
3188.114.97.3United States
AS13335CLOUDFLARENET
32a06:98c1:3120::3United States
AS13335CLOUDFLARENET
32606:4700::6812:bcfUnited States
AS13335CLOUDFLARENET
32606:4700::6812:acfUnited States
AS13335CLOUDFLARENET
32a06:98c1:3121::3United States
AS13335CLOUDFLARENET
32a00:1450:4001:831::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
3210--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A13956144F3001A115381C9AFB92B1A3BCCD017EA0FAAD576EC579C9FC7DC1A963A8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:AXDz+sJQr/+FlxRrTxaxzFmTKRcBqQLUG09Sw3LH94Ii3y:KJQCFlxFxaxzFxO9Bw83y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:45078:WBDoEcBE8IBJCBQLkj5CAdcWCRAnhghAGIAIMhMAYWAyoECKghzIYgUgUBUgg4U6hAqwwYCQSGAkECPMKYIpkwBMFoTcgAKs

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:0000000fffffffff
Perceptual Hash:a8027ffc823c7ec2
Difference Hash:25d01fffe82b2bcc
Wavelet Hash:00000007ffcbffff
Color Hash:#1f934e

Scan History

Scan history not available

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