Security Scan Report: empty-azure-wmec77e2rx-uls6y98o0f.edgeone.app

Submitted: Mar 25, 2026, 12:29:39 AMCompleted: Mar 25, 2026, 12:31:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 6 HTTP transactions. The main domain is empty-azure-wmec77e2rx-uls6y98o0f.edgeone.app and was registered NaN years ago.

Submitted URL: https://empty-azure-wmec77e2rx-uls6y98o0f.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: 92%

0
Risk Score

No malicious activity detected; site appears to be a legitimate promotional page.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
Hosted on a known platform (edgeone.app) without suspicious activity
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(57%)

Domain Information

You're looking at domain 'empty-azure-wmec77e2rx-uls6y98o0f.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'empty-azure-wmec77e2rx-uls6y98o0f'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. It segments into 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://empty-azure-wmec77e2rx-uls6y98o0f.edgeone.app/

Page Load Overview

0.91s
Total Load Time
6
HTTP Requests
2
Domains
434 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,452 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning57% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
57%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.35.58.78United States
AS16509Amazon.com, Inc.
343.152.26.58Singapore
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2B25000C7892C1E85756062C1B1EE85A75F4F7EAB2246B5FD371232E54CEA0493EAFD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lBzju+97ymZjuW1ZjuELZju14ZjuSyKBZjuw4ZjuO1ZjuNhZjuv4ZjuqmJNBo9y9:T5NgA1TRcXD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24806:0FCjIGlCkmpE+GAjoGCpym1BI2QAIygTAwi2zXDGA5CS3qSUMIJhWoEBOVgCAYAAIAUIPGYBoqAwBsfShCbVGPjBREIBUpRC

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:e7efefe7c7c7ffef
Perceptual Hash:b3ccc93366cc3331
Difference Hash:0c0c0c4c4d4d181c
Wavelet Hash:e6c6c6c2c2c2c6ce
Color Hash:#79d288

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data