Security Scan Report: independent-azure-ey5jrcuq8n-5hsy3bcrkp.edgeone.app

Submitted: Feb 10, 2026, 4:07:57 PMCompleted: Feb 10, 2026, 4:09:09 PMpubliccompleted
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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 independent-azure-ey5jrcuq8n-5hsy3bcrkp.edgeone.app and was registered NaN years ago.

Submitted URL: https://independent-azure-ey5jrcuq8n-5hsy3bcrkp.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 but is currently unreachable.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Site currently unreachable but not flagged as malicious
Domain age information unavailable

Details

Page Title

independent-azure-ey5jrcuq8n-5hsy3bcrkp.edgeone.app

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

news media journalism

(50%)

Domain Information

Domain 'independent-azure-ey5jrcuq8n-5hsy3bcrkp.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'independent-azure-ey5jrcuq8n-5hsy3bcrkp'. Count 7 characters in 'edgeone' with four vowels and 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://independent-azure-ey5jrcuq8n-5hsy3bcrkp.edgeone.app/

Page Load Overview

3.22s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:61 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism50% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
50%
healthcare medical
42%
adult content
42%
documentation technical
42%
government public service
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8OldK:+hoC9JSqzzbs6o3Sj3gcrsQ2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:GxoBQgGQoxREhUjcaoQneSFnBQIZKrEAgACnAJQggm8UqgymUiy4IQUlwCgVBFkCFCQAmEiUaTcyAoRAcEkJiIgYsNQqTnJC

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:3f1f030700000000
Color Hash:#d279b0

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data