Security Scan Report: awful-sapphire-emxbs89bh7-tyj2bpkxsg.edgeone.app

Submitted: Apr 10, 2026, 8:06:29 AMCompleted: Apr 10, 2026, 8:07:36 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is awful-sapphire-emxbs89bh7-tyj2bpkxsg.edgeone.app and was registered NaN years ago.

Submitted URL: https://awful-sapphire-emxbs89bh7-tyj2bpkxsg.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 malicious activity detected; the site appears benign.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Page appears to be a simple file collection
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(70%)

Domain Information

You're looking at domain 'awful-sapphire-emxbs89bh7-tyj2bpkxsg.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'awful-sapphire-emxbs89bh7-tyj2bpkxsg'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. It segments into 2 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://awful-sapphire-emxbs89bh7-tyj2bpkxsg.edgeone.app/

Page Load Overview

0.75s
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:214 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical70% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
70%
news media journalism
49%
healthcare medical
27%

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

T13E9295C1DFF51FDCB41F85546BBD6B3A2A29A003E44C859CB5AE0EB09F4548AE0BB174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBhhghmhWhkhYhUhCh+hohohKhqhLXhn:KrzhNK/lMHmGgdkq8ukUKW6Qk2+oYVd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20236:IBTA2pYwCANAlpCaaEyg7AIagAGuGARoFMoNEQhLSDc0RYGIR4SmQkAwEY5GYKQCEDF4lwEiKAEqBC0PYSAGiC0ANxGYAN0H

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:9c1c3c3c3c3c3c3c
Perceptual Hash:de3c283c2865e3e3
Difference Hash:3030707070707070
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#862d2d

Other Hashes

Crop Resistant:3030707070707070

Scan History

Scan history not available

Unable to load historical scan data