Security Scan Report: fat-orange-lu1mucsyq7-2twbizo5dn.edgeone.app

Submitted: Mar 4, 2026, 3:31:15 PMCompleted: Mar 4, 2026, 3:32:48 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 fat-orange-lu1mucsyq7-2twbizo5dn.edgeone.app and was registered NaN years ago.

Submitted URL: https://fat-orange-lu1mucsyq7-2twbizo5dn.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: 85%

2
Risk Score

No malicious activity detected; site appears benign but is a newly created subdomain on a free hosting platform.

Risk Factors
Subdomain on a free hosting platform (edgeone.app) with unknown creation date
Safety Factors
HTTPS connection used
No credential or payment forms present
No malicious Indicators of Compromise matches
No JavaScript malware detected
No network IDS alerts detected
Domain age information unavailable

Details

Page Title

Special Card

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

corporate business

(44%)

Domain Information

Domain 'fat-orange-lu1mucsyq7-2twbizo5dn.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fat-orange-lu1mucsyq7-2twbizo5dn'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fat-orange-lu1mucsyq7-2twbizo5dn.edgeone.app/

Page Load Overview

0.33s
Total Load Time
2
HTTP Requests
1
Domains
1 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
Text Length:124 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business44% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
44%

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

T17D21209162F510256417D1803CF10B1621ADE513D50FC839B3EA35AD4FC968E893379D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hay09CM+R0Yv9i4Dbp2+XsTk9CMqOBrYWijMvE1YyGtfqaMUj:8CMHYvBDbp98mCM3rrbv0G1V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1287:CCAAgQAQAAAAQAAgAAEQAAAAAgAgABAAAAAAAQAAQAIgAQAAAAAIABCAAAACBAAkAAAACCAQAABAAAIBIAAAAAAAQAACAAAA

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:fefefee6e6e6fefe
Perceptual Hash:f799996626998926
Difference Hash:0202124c4c0c120a
Wavelet Hash:3c3c362626263e3e
Color Hash:#79a9d2

Other Hashes

Crop Resistant:0202124c4c0c120a

Scan History

Scan history not available

Unable to load historical scan data