Security Scan Report: mj-filer-til-mata-1g-bot-43k356dxxp.edgeone.app

Submitted: Mar 21, 2026, 8:44:58 AMCompleted: Mar 21, 2026, 8:46:05 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is mj-filer-til-mata-1g-bot-43k356dxxp.edgeone.app and was registered NaN years ago.

Submitted URL: https://mj-filer-til-mata-1g-bot-43k356dxxp.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

No malicious activity detected; low risk.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware patterns detected
Low JavaScript obfuscation score (standard minification)
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

education learning

(36%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mj-filer-til-mata-1g-bot-43k356dxxp.edgeone.app' is registered with subdomain 'mj-filer-til-mata-1g-bot-43k356dxxp'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Breaking it apart gives two 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://mj-filer-til-mata-1g-bot-43k356dxxp.edgeone.app/

Page Load Overview

0.44s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:140 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

education learning36% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
36%
government public service
34%
documentation technical
29%

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

T16812C6CAEBE306C8681BC0692FFF5725222DE053D449C95DB99E0F648F0518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB0hWxexwh1RaXQl:KrzhNK/lMHmGgdkqH8xexwd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9736:IScK13BABSPwtB1UAUWAxAAiKgGkKQQgc1gJgAACqDUaQJk8AMQ0wxGQTYcCJMbAwTjcVQAubEheFA5BOApGyCsTuCaGAIER

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030780000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#1f9323

Other Hashes

Crop Resistant:3030780000000000

Scan History

Scan history not available

Unable to load historical scan data