Security Scan Report: profound-sapphire-wpujmfmmyn-mjoqffqwsq.edgeone.app

Submitted: Feb 28, 2026, 10:45:56 AMCompleted: Feb 28, 2026, 10:47:08 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is profound-sapphire-wpujmfmmyn-mjoqffqwsq.edgeone.app and was registered NaN years ago.

Submitted URL: https://profound-sapphire-wpujmfmmyn-mjoqffqwsq.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: 92%

2
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware signatures
Hosted on a reputable platform (edgeone.app) without suspicious activity
Low risk due to lack of user interaction elements
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(73% confidence)

Category

social media network

(38%)

Domain Information

Domain 'profound-sapphire-wpujmfmmyn-mjoqffqwsq.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'profound-sapphire-wpujmfmmyn-mjoqffqwsq'. Its registrable label 'edgeone' stretches across 7 characters 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://profound-sapphire-wpujmfmmyn-mjoqffqwsq.edgeone.app/

Page Load Overview

0.39s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:73%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:73%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network38% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
38%
gambling betting
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

T12A02C5CAEBA305C8A82BC4782FFB5725222DE057C449CD5DB99E0F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBGh1RaXQl:KrzhNK/lMHmGgdkqxd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8739:ICUC1noCBQc0NBUcAU2whAAiSASGDQRBMFALAAACiHKQJIEMAcR0wxLAKYdCgPaAgzicVQCmSkBahCjFGAIOSCoCOCaWIBEF

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c5b7

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data