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Security Scan Report: many-azure-fexba3bg5o-i8ceak4kmx.edgeone.app

Submitted: Feb 7, 2026, 10:10:49 AMCompleted: Feb 7, 2026, 10:12:05 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 many-azure-fexba3bg5o-i8ceak4kmx.edgeone.app and was registered NaN years ago.

Submitted URL: https://many-azure-fexba3bg5o-i8ceak4kmx.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 despite being currently unreachable.

Safety Factors
Established domain (>365 days)
No credential or payment collection forms
No external links or redirects
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

many-azure-fexba3bg5o-i8ceak4kmx.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

documentation technical

(58%)

Domain Information

Within the application-focused generic top-level domain (.app), 'many-azure-fexba3bg5o-i8ceak4kmx.edgeone.app' is registered, featuring subdomain 'many-azure-fexba3bg5o-i8ceak4kmx'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://many-azure-fexba3bg5o-i8ceak4kmx.edgeone.app/

Page Load Overview

7.11s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:55 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
technology software
57%
news media journalism
45%
government public service
42%
real estate property
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszk2bMy8Old6:AhoC9JSqzzbs6o3Sj3gcrsw2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184611:IDUxlCtBSQggE0xRIAKoDLWiEQiCGQoNLcNwFAIEiiAhxBANjAZgJJARTBEUACJpgApsgEJE8kBrQixXgJJAAaaQAUCAGhxK

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:f3d3c3c700000000
Color Hash:#e0af6c

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data