Security Scan Report: vocational-aqua-gufrda7pts-v3fqyqvoh2.edgeone.app

Submitted: May 11, 2026, 11:49:49 AMCompleted: May 11, 2026, 11:50:59 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 vocational-aqua-gufrda7pts-v3fqyqvoh2.edgeone.app and was registered NaN years ago.

Submitted URL: https://vocational-aqua-gufrda7pts-v3fqyqvoh2.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; likely safe but subdomain age is unknown.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking without established reputation
Safety Factors
Absence of login or payment forms
No credential exfiltration or external malicious links
No IDS alerts or malware detections
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(38%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vocational-aqua-gufrda7pts-v3fqyqvoh2.edgeone.app' is registered and includes subdomain 'vocational-aqua-gufrda7pts-v3fqyqvoh2'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Tokenizing the label suggests 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://vocational-aqua-gufrda7pts-v3fqyqvoh2.edgeone.app/

Page Load Overview

0.59s
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:86 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism38% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
38%
healthcare medical
29%
government public service
26%
real estate property
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

T1C802C6CAEB9305C9A82BC4782FFB5724222DE067C448CD5DB99E1F548F4518475EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB3InIVsh1RaXQl:KrzhNK/lMHmGgdkq5IVsd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8767:YgUC1nQCDZMQPJUeAU2ElBDiSECEDQwAMlIJAgAKiDOwAIEMAMR2wwqACbcCAtbQgTi9VQAmSERaBAhJABImqToCPWaWACGh

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038580000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#2dd2b1

Other Hashes

Crop Resistant:3038580000000000

Scan History

Scan history not available

Unable to load historical scan data