Security Scan Report: eldest-aquamarine-fyluroufk7-2my7gzwyzf.edgeone.app

Submitted: May 16, 2026, 8:52:52 AMCompleted: May 16, 2026, 8:55:19 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 1 domain to perform 2 HTTP transactions. The main domain is eldest-aquamarine-fyluroufk7-2my7gzwyzf.edgeone.app and was registered NaN years ago.

Submitted URL: https://eldest-aquamarine-fyluroufk7-2my7gzwyzf.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

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Low domain reputation (rank >100k)
Subdomain age unknown on a hosting platform
Safety Factors
No login or payment forms
No credential exfiltration observed
No malicious JavaScript or external links
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(48%)

Domain Information

Domain 'eldest-aquamarine-fyluroufk7-2my7gzwyzf.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'eldest-aquamarine-fyluroufk7-2my7gzwyzf'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Word splitting yields two 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://eldest-aquamarine-fyluroufk7-2my7gzwyzf.edgeone.app/

Page Load Overview

1.25s
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:88 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism48% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
48%
healthcare medical
45%
government public service
43%
documentation technical
42%
real estate property
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1101.33.10.10Frankfurt am Main, Hesse, Germany
143.152.26.58Singapore
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16902C5CAEBA305C9A81BC07C2FFF5724222DE027C448CD5DB99E5F548F0518875EA2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:GrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBoh1RaXQl:GrzhNK/lMHmGgdkqTd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8758:hpQCEIRwTCIVEtKhAQAYA7FpKIQAABblgFYEJBA6ElFFyQBwcgQSQkEkidcMk1HGhBjEEQDMGwyoLSAIYMhUKiRkQQMAMAym

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:dcfcfce0e0c0c080
Perceptual Hash:da9a98bc6c6561c3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#2d8673

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data