Security Scan Report: gay-sapphire-kfhgvyuq1j-4bq5c119fj.edgeone.app

Submitted: Feb 23, 2026, 4:52:11 AMCompleted: Feb 23, 2026, 4:53:20 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 gay-sapphire-kfhgvyuq1j-4bq5c119fj.edgeone.app and was registered NaN years ago.

Submitted URL: https://gay-sapphire-kfhgvyuq1j-4bq5c119fj.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

gay-sapphire-kfhgvyuq1j-4bq5c119fj.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'gay-sapphire-kfhgvyuq1j-4bq5c119fj.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'gay-sapphire-kfhgvyuq1j-4bq5c119fj'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. It segments into two 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://gay-sapphire-kfhgvyuq1j-4bq5c119fj.edgeone.app/

Page Load Overview

0.47s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:48 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T142048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Olda:ChoC9JSqzzbs6o3Sj3gcrsA2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184621:EkBhmEAEIXAVmBHMlGGFOCAEQQJgJokMAVAgNGCJQmKwGZgEBKUBCIiiwHxRgQmAQPIGqqAgoCWg4iSBiErIagIbmQmDBnAA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f0307f0f0f0f0
Color Hash:#2dd29e

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data