Security Scan Report: formulair304-ipwdniohnl.edgeone.app

Submitted: Mar 17, 2026, 7:31:01 PMCompleted: Mar 17, 2026, 7:32:22 PMpubliccompleted
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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 formulair304-ipwdniohnl.edgeone.app and was registered NaN years ago.

Submitted URL: https://formulair304-ipwdniohnl.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: 85%

0
Risk Score

No malicious activity detected; the page appears to be a legitimate class questionnaire.

Safety Factors
Hosted on a known free hosting platform (edgeone.app) with no suspicious scripts
Absence of credential or payment collection fields
No cross‑origin credential exfiltration observed
Page content appears to be legitimate educational material
Domain age information unavailable

Details

Page Title

Bilan du 2e trimestre — Classe de 3e4

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

adult content

(65%)

Domain Information

You're looking at domain 'formulair304-ipwdniohnl.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'formulair304-ipwdniohnl'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals 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://formulair304-ipwdniohnl.edgeone.app/

Page Load Overview

0.56s
Total Load Time
3
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:603 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content65% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
65%
education learning
50%
government public service
49%
news media journalism
41%
cryptocurrency blockchain
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10231DC3354F41437C09681E28D529F3B3E949B4BE24B675072ED5AA41FC7DC2D937948

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:he5C0NARSgv2M6ShXA7ub9Mqt62djHDJUR+mPh04BM3KVD7gMWj:orKh2MPXY4M468j1SvPhS3vV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1706:ACAAQAEACCIAIAAAgAAIAAAAAAAAAAEIAAAgQAgABAAEECBAABEAIBABACCCAACAAQCAAAAAIgBgAIEACBJEAAAAAAAAEAAA

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:c0fc7c3000000000
Perceptual Hash:c7c3f07c6c6c3898
Difference Hash:0c4949466a100000
Wavelet Hash:e0fcff3108000cff
Color Hash:#7cd279

Other Hashes

Crop Resistant:0c4949466a100000

Scan History

Scan history not available

Unable to load historical scan data