Security Scan Report: increasing-sapphire-9kfuvmnmlc-pacyelzbp7.edgeone.app

Submitted: Feb 27, 2026, 12:37:37 PMCompleted: Feb 27, 2026, 12:38:45 PMpubliccompleted
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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 increasing-sapphire-9kfuvmnmlc-pacyelzbp7.edgeone.app and was registered NaN years ago.

Submitted URL: https://increasing-sapphire-9kfuvmnmlc-pacyelzbp7.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%

1
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
No JavaScript malware patterns detected
Subdomain on a reputable hosting platform
No external domains or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(86% confidence)

Category

news media journalism

(26%)

Domain Information

The domain 'increasing-sapphire-9kfuvmnmlc-pacyelzbp7.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'increasing-sapphire-9kfuvmnmlc-pacyelzbp7'. The second-level label 'edgeone' is 7 characters long with four vowels and 3 consonants. Word splitting yields two 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://increasing-sapphire-9kfuvmnmlc-pacyelzbp7.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:86%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:86%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism26% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
26%

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

T12A02C5CAEBA306C9A81BC06C2FFF5724222DE057C448CD5DB99E5F548F4518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBWh1RaXQl:KrzhNK/lMHmGgdkq5d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8711:KCUS1nBKRQMQPhUcA82AhABiSAGEDQQAMFIpCCALiDKRCIEYiMR0wwKAiYcGINaSgTi8VYSmSFBapAhBkAIGCG4COCaWAYED

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87c5c5

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data