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Security Scan Report: driver-file-edmundohuertaolvera-sm9lmscjwj.edgeone.app

Submitted: Mar 10, 2026, 1:15:39 AMCompleted: Mar 10, 2026, 1:16:58 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-edmundohuertaolvera-sm9lmscjwj.edgeone.app and was registered NaN years ago.

Submitted URL: https://driver-file-edmundohuertaolvera-sm9lmscjwj.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: 92%

1
Risk Score

No malicious activity detected; site appears to be an informational driver file.

Safety Factors
No malicious Indicators of Compromise matches
No forms collecting sensitive data
No JavaScript malware or suspicious scripts detected
Domain age unknown but no phishing or scam indicators present
Domain age information unavailable

Details

Page Title

Driver File — Edmundo Huerta Olvera

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'driver-file-edmundohuertaolvera-sm9lmscjwj.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'driver-file-edmundohuertaolvera-sm9lmscjwj'. The core label 'edgeone' covers 7 characters containing four vowels alongside three consonants. Word splitting yields 2 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-file-edmundohuertaolvera-sm9lmscjwj.edgeone.app/

Page Load Overview

0.57s
Total Load Time
2
HTTP Requests
1
Domains
185 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:3,175 chars
Detector Agreement:50%

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
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10944F23182B0703E937B81D0F869DF1A3ED4B907D1865B2676EE8780CF4A9C5CA5F589

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:eysB12NmdV1wXhcm6hEDy2dOpdCHa1k5Wd0mwgT/FbY:5AmowxUYFOiHa1kUrVT9k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:267785:xgcBACDgoKKAMCYBIAHgq8ghmFDd8cgUHBEnIngAgNg6ACTIJBBF2wMgFDFtJgBP4QoKisAYqA1PAAhAwEQFUWkMEEAiQAMA

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:01313131013c3010
Perceptual Hash:c7c738383831c3e7
Difference Hash:5d45414961696121
Wavelet Hash:27313939393d3d31
Color Hash:#c5bf87

Other Hashes

Crop Resistant:8c96332387170727,5d45414961696121

Scan History

Scan history not available

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