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Security Scan Report: driver-ontario-gu8j9gqjmj.edgeone.app

Submitted: Jan 17, 2026, 8:21:20 PMCompleted: Jan 17, 2026, 8:22:28 PMpubliccompleted
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Summary

This website contacted 27 IPs in 5 countries across 23 domains to perform 38 HTTP transactions. The main domain is driver-ontario-gu8j9gqjmj.edgeone.app and was registered NaN years ago.

Submitted URL: https://driver-ontario-gu8j9gqjmj.edgeone.app/online_viewer_net%20(80).html

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain (>365 days)
No credential or payment collection fields
No malicious Indicators of Compromise
Informational content without deceptive branding
HTTPS connection (assumed from standard hosting)
Domain age information unavailable

Details

Page Title

Ontario Driver’s Handbook – Digital Literacy Project

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(87%)

Domain Information

Within the application-focused generic top-level domain (.app), 'driver-ontario-gu8j9gqjmj.edgeone.app' is registered and includes subdomain 'driver-ontario-gu8j9gqjmj'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Breaking it apart gives 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://driver-ontario-gu8j9gqjmj.edgeone.app/online_viewer_net%20(80).html

Page Load Overview

1.50s
Total Load Time
38
HTTP Requests
23
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:29,888 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
87%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12185.15.59.240United States
AS14907WIKIMEDIA
1172.67.203.64United States
AS13335CLOUDFLARENET
1188.114.96.3United States
AS13335CLOUDFLARENET
1142.250.184.238United States
AS15169GOOGLE
1142.250.185.110United States
AS15169GOOGLE
1104.16.133.24United States
AS13335CLOUDFLARENET
1104.20.37.211United States
AS13335CLOUDFLARENET
1142.250.74.206United States
AS15169GOOGLE
1104.21.60.232United States
AS13335CLOUDFLARENET
1142.250.185.118United States
AS15169GOOGLE
3827--

Detected Technologies2

WordPress
75%
YouTube
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CA3F817A1F61532458350A13B63471F7E74C00BE74A86E539AC83A46FDAC99CAB7BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tv4znXoOHKFQoPknheoxEfPmuB0pY61Q+na1B55AB/wwmp:tSnXa24bfOK0lQ+aH3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103892:iCNcJVlEKogXCQCIYQhsxMmsAjgQAhAj4YEFMVkQkHoT0RwWiApAkxwUEGoAGlkCWgQQp4BEsBJHvEqgjdUQK1QAEMECiI4T

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:c383c3ffffffffff
Perceptual Hash:b86d6d65c383c383
Difference Hash:16161ed89e969eb8
Wavelet Hash:808082ffc7c3c3df
Color Hash:#783a5b

Other Hashes

Crop Resistant:16161ed89e969eb8,a6a441b5d4d42b40

Scan History

Scan history not available

Unable to load historical scan data