Security Scan Report: labour-purple-kqnogqbohx-1t7j074rs2.edgeone.app

Submitted: Mar 6, 2026, 2:48:27 AMCompleted: Mar 6, 2026, 2:49:37 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 labour-purple-kqnogqbohx-1t7j074rs2.edgeone.app and was registered NaN years ago.

Submitted URL: https://labour-purple-kqnogqbohx-1t7j074rs2.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

news media journalism

(32%)

Domain Information

Domain 'labour-purple-kqnogqbohx-1t7j074rs2.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'labour-purple-kqnogqbohx-1t7j074rs2'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Segmentation suggests two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://labour-purple-kqnogqbohx-1t7j074rs2.edgeone.app/

Page Load Overview

0.50s
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:69 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

news media journalism32% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
32%
healthcare medical
27%

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

T1B002C6CAEB9705C9A82BC0682FFB5724222DE057C848CD5DB99F1F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBSOah1RaXQl:KrzhNK/lMHmGgdkqXd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8731:IgUC3nACJQNQPDUdAc2AtAAiaACEDYwAMlALSAgSiDKQAIEoAMR0w1KASYdOAPaAgTy83QAmSERaBAjBAEIGiDpCOiaWAWEB

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:d89a983c6c6567c3
Difference Hash:3030100000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#862d37

Other Hashes

Crop Resistant:3030100000000000

Scan History

Scan history not available

Unable to load historical scan data