Security Scan Report: unemployed-fuchsia-lvgrl6n1ab-qviwffctij.edgeone.app

Submitted: Nov 22, 2025, 8:00:31 AMCompleted: Nov 22, 2025, 8:01:52 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is unemployed-fuchsia-lvgrl6n1ab-qviwffctij.edgeone.app.

Submitted URL: https://unemployed-fuchsia-lvgrl6n1ab-qviwffctij.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 security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches
No forms collecting sensitive data
No brand impersonation on final URL
Domain age information unavailable

Details

Page Title

Jayda Souza | Portfolio

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'unemployed-fuchsia-lvgrl6n1ab-qviwffctij.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'unemployed-fuchsia-lvgrl6n1ab-qviwffctij'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unemployed-fuchsia-lvgrl6n1ab-qviwffctij.edgeone.app/

Page Load Overview

0.88s
Total Load Time
5
HTTP Requests
1
Domains
7.5 MB
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:1,696 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
education learning
54%
documentation technical
52%
entertainment media
44%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C351B2A6D4E84126035341535A93D3E66F6AC00BE74C6440B9ACC3683F83E1E9673B2F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nBrYLYvuOq/59Q0RTyZE0XdVxJXWdyNL1:Brh+/fQCTyzNL1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3100:GAABCAAoBAgAIgMIBQAAAgAACBEUACh0CAQQAAghIgJEAUAIIIAAQBAFAYAKAYAAAAkEAWABAAAAghgAQAgQAEQGEAICAAQA

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:00e7e7e7e7ffffff
Perceptual Hash:f333185c4c1e3373
Difference Hash:300c0c0e0e064000
Wavelet Hash:0000e3e3c0c0f0f0
Color Hash:#c6d279

Other Hashes

Crop Resistant:300c0c0e0e064000

Scan History

Scan history not available

Unable to load historical scan data