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Security Scan Report: vin-decoder-pro-fxi0ydf0lt.edgeone.app

Submitted: Feb 24, 2026, 7:07:32 PMCompleted: Feb 24, 2026, 7:09:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vin-decoder-pro-fxi0ydf0lt.edgeone.app and was registered NaN years ago.

Submitted URL: https://vin-decoder-pro-fxi0ydf0lt.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: 92%

2
Risk Score

The site appears to be a VIN decoder tool with no malicious activity, but the subdomain is newly created on a hosting platform, so treat cautiously.

Risk Factors
Subdomain on a hosting platform with unknown creation date (potentially newly registered)
Safety Factors
No password, email, or payment fields present
JavaScript shows low obfuscation score and no malware patterns
No redirects detected
Page served over HTTPS (secure connection)
Meta tags do not claim affiliation with any major brand
Domain age information unavailable

Details

Page Title

TrustedCarPart1 - VIN Decoder (USA)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

Within the application-focused generic top-level domain (.app), 'vin-decoder-pro-fxi0ydf0lt.edgeone.app' is registered, featuring subdomain 'vin-decoder-pro-fxi0ydf0lt'. The second-level label 'edgeone' is 7 characters long split between four vowels and three consonants. Word splitting yields two 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://vin-decoder-pro-fxi0ydf0lt.edgeone.app/

Page Load Overview

5.55s
Total Load Time
2
HTTP Requests
1
Domains
13 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:1,017 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
63%
documentation technical
61%
technology software
43%

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

T1BFF2D975607321322577A4ED2B9B530BB574E203A80DC5887FCC9688CFCAD61D97AE9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ADSTKBabA2SGd3IyK9E4y+tchPA9cWYKDzm1OqmDfTSX7P8RnNkT1vDAf:1KBkhODzm1hmDbSX7P8RnNkT2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34839:SVBJAAKCEAhBggABAIZTmAAID3HMLQAACAElptLNQKylg9wACoBLQIkxIQUpJjAsQgFjDkKE+JigkgABBAEAkqRBFgAMpBDj

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:98ba02007e3c0000
Perceptual Hash:8d1d3c9d3d393892
Difference Hash:3262120270600000
Wavelet Hash:1a3e1a007f7f3c30
Color Hash:#931f78

Other Hashes

Crop Resistant:3262120270600000

Scan History

Scan history not available

Unable to load historical scan data