Security Scan Report: uuid-generator-fce0ue126z.edgeone.app

Submitted: Mar 20, 2026, 5:07:05 AMCompleted: Mar 20, 2026, 5:08:22 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is uuid-generator-fce0ue126z.edgeone.app and was registered NaN years ago.

Submitted URL: https://uuid-generator-fce0ue126z.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: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Standard minified JavaScript only
Hosted on a known platform (edgeone.app) without malicious activity
Domain age information unavailable

Details

Page Title

UUID Pro | Generator

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(41%)

Domain Information

Within the application-focused generic top-level domain (.app), 'uuid-generator-fce0ue126z.edgeone.app' is registered and includes subdomain 'uuid-generator-fce0ue126z'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. It segments into 2 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://uuid-generator-fce0ue126z.edgeone.app/

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
2 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:127 chars
Detector Agreement:50%

Website Classification

Primary Category

news media journalism41% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
41%
healthcare medical
40%
documentation technical
36%
government public service
35%
technology software
30%

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

T1A281952533A200256963B9B13BF7E71C3538F107D543CAAC3A8C6684CF4DB6989A7B58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TCulByio0oGgl8Eop16TJUA7hkD/gRDpz:HByio0Lgl8EopETJ7m4bz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3949:AACAKEAqQQAAsAgQsAABCBJAEAgCCCsAAASICGAEkAAAYAEAATpV4AAjAgIBAAAgCgNkABCC5QFEAMEBUAIACCBRIGkAAhAk

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:0000181818180000
Perceptual Hash:cc3333cccc3333cc
Difference Hash:00083032b2300400
Wavelet Hash:0000183c3c180c0c
Color Hash:#50862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data