Security Scan Report: factmatrix-v9as5ykv7a.edgeone.app

Submitted: Nov 24, 2025, 7:19:08 PMCompleted: Nov 24, 2025, 7:21:35 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is factmatrix-v9as5ykv7a.edgeone.app.

Submitted URL: https://factmatrix-v9as5ykv7a.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Advanced AI Fake News Detector Pro

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(73%)

Domain Information

Within the application-focused generic top-level domain (.app), 'factmatrix-v9as5ykv7a.edgeone.app' is registered with subdomain 'factmatrix-v9as5ykv7a'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 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://factmatrix-v9as5ykv7a.edgeone.app/

Page Load Overview

0.13s
Total Load Time
2
HTTP Requests
1
Domains
17 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:2,133 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism73% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
73%
adult content
68%
documentation technical
36%

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

T1FE7383A625F310224663A0A67F97570B7B70A803C90ACA087B9C57C44FCBE95EE6775C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vvQFzJ5FVUzStqI7R3n7FiGJkpsszROJDljUQPVzEjjuyVAGmPkz0I3fKVvwqkzR:g9VFiGJkpssF8DN6jj/A1kYafskrSC/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78965:BwlwAgBAFEBKBQCMgexESHL4WgENBUKBYwg0XpGYAEQz5EASIuAAXsGqgCoKAKBJZogAQpSAKA9C4IUAQRAAlAIAGAPYnZDE

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:3c187e7e01017f03
Perceptual Hash:80539e1e73c4739e
Difference Hash:7172d4c0eba3a0fd
Wavelet Hash:3c187e7f01037f07
Color Hash:#bf4062

Other Hashes

Crop Resistant:7172d4c0eba3a0fd

Scan History

Scan history not available

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