Security Scan Report: fat-sapphire-nqpsgw7e9p-xipau8sqxe.edgeone.app

Submitted: Mar 12, 2026, 4:42:39 AMCompleted: Mar 12, 2026, 4:44:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is fat-sapphire-nqpsgw7e9p-xipau8sqxe.edgeone.app and was registered NaN years ago.

Submitted URL: https://fat-sapphire-nqpsgw7e9p-xipau8sqxe.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 to be a simple image collection, but the new subdomain warrants caution.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially brand new)
Safety Factors
No credential or payment forms detected
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(70%)

Domain Information

Domain 'fat-sapphire-nqpsgw7e9p-xipau8sqxe.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'fat-sapphire-nqpsgw7e9p-xipau8sqxe'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Tokenizing the label suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fat-sapphire-nqpsgw7e9p-xipau8sqxe.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:834 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
44%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EEA27185EFF92BDCB41F85585B7E673E2A296013E44C419CB4AE0EB0DF44989E4BB074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KrzhNK/lMHmGgdkqnCvu93km5T4PTvhYB0d:shNIMi+mCvu93km5T4PTvhYB0d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22492:YiVAE1cEDBMQtBCIDQeCSAcCQEDmDgABkAINAAApqDLUURo8AqQ8wmGoSQQKcIJEkDQ+hQEgBNXagC4oKQAmICgAEhcGBNUP

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:9c1c1c1c3c3c3c3c
Perceptual Hash:da7c286c6ca861e7
Difference Hash:3030703070707171
Wavelet Hash:dcbc3c3c3c3c1c1c
Color Hash:#1f935d

Other Hashes

Crop Resistant:3030703070707171

Scan History

Scan history not available

Unable to load historical scan data