Security Scan Report: maximum-azure-6ulesylffi-22ytl6beae.edgeone.app

Submitted: Feb 17, 2026, 3:15:05 AMCompleted: Feb 17, 2026, 3:16:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is maximum-azure-6ulesylffi-22ytl6beae.edgeone.app and was registered NaN years ago.

Submitted URL: https://maximum-azure-6ulesylffi-22ytl6beae.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No malicious Indicators of Compromise
No credential or payment forms
No external links or redirects
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

maximum-azure-6ulesylffi-22ytl6beae.edgeone.app

Scan Type

public

Language

🇹🇷

Turkish

(50% confidence)

Category

healthcare medical

(46%)

Domain Information

The domain name 'maximum-azure-6ulesylffi-22ytl6beae.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'maximum-azure-6ulesylffi-22ytl6beae'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 3 consonants. Breaking it apart gives two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://maximum-azure-6ulesylffi-22ytl6beae.edgeone.app/

Page Load Overview

3.07s
Total Load Time
3
HTTP Requests
2
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇹🇷Turkish
Code: tr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:tr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:en
Text Length:117 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as tr

Website Classification

Primary Category

healthcare medical46% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
46%
adult content
46%
news media journalism
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Oldw:DhoC9JSqzzbs6o3Sj3gcrsU2eAu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184626:kgBqqsA1UEwQiG0QUEFowSAASBCGoqShAUKSIMCxCAOQ6iAARgAyAYANIogdFHCeLAdNYMDtOCUBxAaMSaCIIljXKCCA0IJD

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:fcdcc0c4f0f0f0f0
Color Hash:#2d865c

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data