Security Scan Report: dasbordgbd-7ed10ohj53.edgeone.app

Submitted: May 14, 2026, 5:59:28 AMCompleted: May 14, 2026, 6:01:34 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 12 HTTP transactions. The main domain is dasbordgbd-7ed10ohj53.edgeone.app and was registered NaN years ago.

Submitted URL: https://dasbordgbd-7ed10ohj53.edgeone.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

GBD - Dashboard Marchand

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

education learning

(64%)

Domain Information

The domain name 'dasbordgbd-7ed10ohj53.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dasbordgbd-7ed10ohj53'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Splitting it apart reveals 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://dasbordgbd-7ed10ohj53.edgeone.app/

Page Load Overview

N/A
Total Load Time
12
HTTP Requests
0
Domains
N/A
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:456 chars
Detector Agreement:50%

Website Classification

Primary Category

education learning64% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
64%
government public service
31%
e-commerce shopping
30%
download file sharing
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.13.95United States
AS15169Google LLC
3142.251.127.94United States
AS15169Google LLC
3101.33.10.57Frankfurt am Main, Hesse, Germany
3142.251.20.94United States
AS15169Google LLC
04--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD32A36320B250316D63A0A57FE3976D3524D203F682CA907EDC4650CF8DED68ABB79C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sO9Q330ZEti5f6BvZMbxtIVGjd5odumbxPd01JCRC+nDQWbhNGTnPQLonbCnsKOf:+FEeDQWtCPQLonbCnG5hwY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11461:iUVgWADU2aBoKweGuKnPYIgaiPADVGVKnGIuKCCBFAACAHwHNAYzFoVCJjgADQAEPwpt5RIagWOPoqBAqJIFQVYOCzEbm8EQ

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:fc3c3000203c3c00
Perceptual Hash:c76438db30b8ce65
Difference Hash:51606c4c4c696906
Wavelet Hash:ff3c3c3c3c3c3c00
Color Hash:#8479d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data