Security Scan Report: mj-filer-til-mata-1g-bot-uu6avy2j5p.edgeone.app

Submitted: Mar 24, 2026, 2:37:48 PMCompleted: Mar 24, 2026, 2:39:03 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 mj-filer-til-mata-1g-bot-uu6avy2j5p.edgeone.app and was registered NaN years ago.

Submitted URL: https://mj-filer-til-mata-1g-bot-uu6avy2j5p.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: 82%

1
Risk Score

No malicious activity detected; site appears low risk.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
Standard hosting platform (edgeone.app) without known abuse
Page title indicates a simple file collection page
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇩🇰

Danish

(56% confidence)

Category

education learning

(82%)

Domain Information

The domain 'mj-filer-til-mata-1g-bot-uu6avy2j5p.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mj-filer-til-mata-1g-bot-uu6avy2j5p'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus three consonants. It segments into 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://mj-filer-til-mata-1g-bot-uu6avy2j5p.edgeone.app/

Page Load Overview

0.87s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:56%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:305 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as da

Website Classification

Primary Category

education learning82% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
82%
government public service
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

T13752A6C9EFE61ACC781FC0695FBE6725262AA003D44DC95CB59E0F609F44185B0FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB0hWxexwhRphbh5M3hXh1RaXQl:KrzhNK/lMHmGgdkqH8xexwVNGRd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13544:cQcCFXJAFSPytDyEAQGAwAACIgkkKYQAU4ALhQiCiKUYIJk8hIA0qxkQTScIJMbAgWzUTQAsxOleBApEKCpGzCtBOCcCAIEB

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:dcfcfcfcfc800000
Perceptual Hash:da9a6c6d98686783
Difference Hash:3030383078400000
Wavelet Hash:dcfcfcfcfc808080
Color Hash:#87c5aa

Other Hashes

Crop Resistant:3030383078400000

Scan History

Scan history not available

Unable to load historical scan data