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Security Scan Report: driver-file-hectoralejandrovillegaszapata-qw7811hcs2.edgeone.app

Submitted: Mar 11, 2026, 11:57:31 PMCompleted: Mar 11, 2026, 11:58:51 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is driver-file-hectoralejandrovillegaszapata-qw7811hcs2.edgeone.app and was registered NaN years ago.

Submitted URL: https://driver-file-hectoralejandrovillegaszapata-qw7811hcs2.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 site appears to be a legitimate informational page.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious scripts
Hosted on edgeone.app, a standard hosting platform without known abuse
Informational content (driver file) with no phishing or scam elements
Domain age information unavailable

Details

Page Title

Driver File — Hector Alejandro Villegas Zapata

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(39%)

Domain Information

The domain name 'driver-file-hectoralejandrovillegaszapata-qw7811hcs2.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'driver-file-hectoralejandrovillegaszapata-qw7811hcs2'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. Breaking it apart gives 2 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://driver-file-hectoralejandrovillegaszapata-qw7811hcs2.edgeone.app/

Page Load Overview

0.70s
Total Load Time
2
HTTP Requests
1
Domains
145 KB
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:2,828 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service39% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
39%
adult content
34%
corporate business
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C424E03296B2B0AE433B11F4F85A8F2A3ED5A90390C5076176DD0785CF8E9C9C95B78D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:EysB12Nm80LpLuj9Yrpgb0yX/aFmhh6pCCM:vAm10LpLnVg3/0mGS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:214215:VTij0jrIAYngFXgkIAIHPxQg3RBCMEAQgLeH2ABANJVQDYAAgAARJIBZIZwhNQBDCks7HCAAEatgRKOrEAFSwGLyHCEADj4o

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:01393131213c3810
Perceptual Hash:c7c73838383897c7
Difference Hash:4d41416161594171
Wavelet Hash:25393939313d3d39
Color Hash:#3a6878

Other Hashes

Crop Resistant:4e96b632360e3666,4d41416161694171

Scan History

Scan history not available

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