Security Scan Report: driver-file-alonsovallesrocha-frczcesm2q.edgeone.app

Submitted: Mar 15, 2026, 6:40:10 AMCompleted: Mar 15, 2026, 6:41:37 AMpubliccompleted
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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-alonsovallesrocha-frczcesm2q.edgeone.app and was registered NaN years ago.

Submitted URL: https://driver-file-alonsovallesrocha-frczcesm2q.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Moderate suspicion due to new subdomain on edgeone.app and low ranking, but no malicious content observed.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
No password, email, or payment fields present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

Driver File — Alonso Valles Rocha

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(52%)

Domain Information

Domain 'driver-file-alonsovallesrocha-frczcesm2q.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'driver-file-alonsovallesrocha-frczcesm2q'. The registrable portion 'edgeone' spans 7 characters with four vowels and three consonants. Tokenizing the label 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://driver-file-alonsovallesrocha-frczcesm2q.edgeone.app/

Page Load Overview

0.92s
Total Load Time
2
HTTP Requests
1
Domains
199 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:2,076 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical52% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
52%
adult content
49%
government public service
46%
documentation technical
30%
corporate business
29%

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

T1CF54023093B1B2BE133A51E0F89ADE5E3ED27A07D1C45721B7ED4A85C3DE8D1851A6C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:9ysB12NmNAEgryqp3dytW+ify3bn16m8qMUEpdj8l1M:IAmgI3dyty06m8fUYdj84

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:279198:jJETAMUDIzAoM4C4SB4IZWiUiIMRIbkiYq0BJAUCvUBR0CQAR5ADdCgtSBTQlSGAggkIwEIBERgDBwSORwCimGYBcpBsCE7Q

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:05313131203d3810
Perceptual Hash:c7c738383831c7c7
Difference Hash:5d45414961696961
Wavelet Hash:27313939393d3d31
Color Hash:#ac5368

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data