Security Scan Report: horrible-beige-fmea4wfbmt-v5hvjdnetm.edgeone.app

Submitted: Apr 29, 2026, 4:57:02 PMCompleted: Apr 29, 2026, 4:58:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is horrible-beige-fmea4wfbmt-v5hvjdnetm.edgeone.app and was registered NaN years ago.

Submitted URL: https://horrible-beige-fmea4wfbmt-v5hvjdnetm.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: 72%

2
Risk Score

The site shows no malicious indicators and lacks credential collection; it is low risk.

Safety Factors
Absence of credential or payment forms
No malicious code or behavior observed
Hosted on a standard development hosting platform
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

news media journalism

(53%)

Domain Information

The domain 'horrible-beige-fmea4wfbmt-v5hvjdnetm.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'horrible-beige-fmea4wfbmt-v5hvjdnetm'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Splitting it apart reveals 2 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://horrible-beige-fmea4wfbmt-v5hvjdnetm.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:58 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism53% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
53%
documentation technical
45%
healthcare medical
41%
government public service
39%
education learning
31%

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

T10702C5CAEBA305C8A82BC0682FFF5324222DE053C449C95DB99E5F548F4518875EB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBer65h1RaXQl:KrzhNK/lMHmGgdkq6d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8716:JAUC1nAGBQMQNBccIU2gxACiSQGkDZQANFAJSABKyDKQAYEIQMT0wwKACYcCANaCgTicVQAmSEhaBAhBCCIGCCsGOCaWAMED

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030200000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#a253ac

Other Hashes

Crop Resistant:3030200000000000

Scan History

Scan history not available

Unable to load historical scan data