Security Scan Report: decent-fuchsia-8v4gkn9fda-zibncq51n1.edgeone.app

Submitted: Feb 22, 2026, 11:17:47 AMCompleted: Feb 22, 2026, 11:18:57 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 decent-fuchsia-8v4gkn9fda-zibncq51n1.edgeone.app and was registered NaN years ago.

Submitted URL: https://decent-fuchsia-8v4gkn9fda-zibncq51n1.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

decent-fuchsia-8v4gkn9fda-zibncq51n1.edgeone.app

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(30%)

Domain Information

The domain name 'decent-fuchsia-8v4gkn9fda-zibncq51n1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'decent-fuchsia-8v4gkn9fda-zibncq51n1'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. Word splitting yields 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://decent-fuchsia-8v4gkn9fda-zibncq51n1.edgeone.app/

Page Load Overview

1.00s
Total Load Time
2
HTTP Requests
1
Domains
3 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:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism30% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
30%

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

T12A048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszW2bMy8OldO:7hoC9JSqzzbs6o3Sj3gcrsi2eAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184631:A1wEqRLEATBACGwQQAFsMoC5fAmXUWlDQBEqwh8qAqQBcGFBCASDgCDEgc+ALJE5InFAkMDgBQCYSEwVkClkgRDJYIAjiCYg

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:fcdcc0c4f0f0f0f0
Color Hash:#ae87c5

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data