Security Scan Report: driver-file-dixonleninchavezsanchez-e6dvr0uduq.edgeone.app

Submitted: Mar 15, 2026, 3:26:57 AMCompleted: Mar 15, 2026, 3:28:22 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-dixonleninchavezsanchez-e6dvr0uduq.edgeone.app and was registered NaN years ago.

Submitted URL: https://driver-file-dixonleninchavezsanchez-e6dvr0uduq.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Site shows no malicious activity but is a newly created subdomain on a hosting platform; treat cautiously.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (outside top 100k)
Safety Factors
No forms or password fields present
No malicious Indicators of Compromise
No JavaScript malware detected
Standard hosting platform without known malicious activity
Domain age information unavailable

Details

Page Title

Driver File — Dixon Lenin Chavez Sanchez

Scan Type

public

Language

🇩🇪

German

(28% confidence)

Category

unknown

(0%)

Domain Information

The domain 'driver-file-dixonleninchavezsanchez-e6dvr0uduq.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'driver-file-dixonleninchavezsanchez-e6dvr0uduq'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://driver-file-dixonleninchavezsanchez-e6dvr0uduq.edgeone.app/

Page Load Overview

0.69s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:28%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:28%
Script Type:Latin
HTML Lang Attribute:en
Text Length:3,474 chars
Detector Agreement:75%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T17D740230E7B4706F53B951E2B8A7DF1F3FD1AA03C49A871576DD0A8087CACC58A4669C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:AysB12NmLlDPerGfjWdfZ0yZHZtmcJ873glE7hMgoxO9wqj8Y:jAm0DPsGfidf5tmlgyt4OLh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:364642:gAAQtfeFM4ojIABfAKooVARAoAFZAEAhmVscCBAVSC8dkADQNSJiEABARATeAeQgqSAJECCCCQIhYGrFCmIURU0Ir8mUGKks

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:01313131213c0010
Perceptual Hash:c7c73c383830d3c7
Difference Hash:5d45494961696121
Wavelet Hash:27393d39393d3131
Color Hash:#932d1f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data