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Security Scan Report: disgusted-silver-7vudrasbel-lga9th6nya.edgeone.app

Submitted: Apr 28, 2026, 12:23:03 PMCompleted: Apr 28, 2026, 12:24:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is disgusted-silver-7vudrasbel-lga9th6nya.edgeone.app and was registered NaN years ago.

Submitted URL: https://disgusted-silver-7vudrasbel-lga9th6nya.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: 80%

2
Risk Score

Low risk site with no malicious indicators; unknown subdomain age but no forms or suspicious activity.

Risk Factors
Domain ranking is low (#455,732) indicating limited reputation
Subdomain creation date is unknown, could be newly registered
Safety Factors
No malicious indicators (IoCs, YARA, IDS) found
No credential collection or payment forms present
Content appears minimal and non‑interactive
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

government public service

(51%)

Domain Information

The domain 'disgusted-silver-7vudrasbel-lga9th6nya.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'disgusted-silver-7vudrasbel-lga9th6nya'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 consonants. Splitting it apart reveals 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://disgusted-silver-7vudrasbel-lga9th6nya.edgeone.app/

Page Load Overview

0.49s
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:50 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

government public service51% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
51%
education learning
48%
news media journalism
46%
documentation technical
43%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E102C6CAEBA306C8682BC0682FFF5324222DE057C448CD5DB99E1F548F0518875EB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBFh1RaXQl:KrzhNK/lMHmGgdkqkd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8710:IAUC3nAyhQMQNBUeAU2AhgAj3ACEDQQwNFAJCAEDiLLUBKMIAMR9wwKgTYeCINaBgTicVSAmSEBaBAhBYAI2CCoCOCaeAAUB

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:de9a9838686563c7
Difference Hash:3030600000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#482dd2

Other Hashes

Crop Resistant:3030600000000000

Scan History

Scan history not available

Unable to load historical scan data