Security Scan Report: vin-decoder-trustedcarpart-rlf7pov60f.edgeone.app

Submitted: Feb 24, 2026, 11:09:02 PMCompleted: Feb 24, 2026, 11:10:26 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-trustedcarpart-rlf7pov60f.edgeone.app and was registered NaN years ago.

Submitted URL: https://vin-decoder-trustedcarpart-rlf7pov60f.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: 93%

0
Risk Score

No malicious activity detected; the site appears to be a legitimate VIN decoder tool.

Safety Factors
Page contains only informational VIN decoding functionality
Hosted on a standard platform (edgeone.app) without suspicious scripts
No credential or payment collection mechanisms
No known malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

TrustedCarPart1 - VIN Decoder (USA)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(80%)

Domain Information

The domain name 'vin-decoder-trustedcarpart-rlf7pov60f.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vin-decoder-trustedcarpart-rlf7pov60f'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. It segments into 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://vin-decoder-trustedcarpart-rlf7pov60f.edgeone.app/

Page Load Overview

0.37s
Total Load Time
2
HTTP Requests
1
Domains
11 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:523 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical80% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
80%
government public service
40%

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

T139B2D7716073103268B7A0DD2BEB530B75B0E213E809CA84BFDC96958FCBC52C957A9C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:1rznn7G6fvS7bA2SGg3Iyx92MyroBcXYEoWdzuMov3yFyIy9wLyAroKlEs2ya7LW:BnnCaq7bA2SGg3Iyx92MyragYEoWdzuw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23799:i0BQCoADDIEnEiEQJEAxCNirhRCgAgZQESAIA6YpLmDHEErTYZAawsVQJBz3RXEABBjQqAYEIgaDpBAAARAGxijCpGCBYpMQ

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:98ba1e7e3c187e3c
Perceptual Hash:9c3c3d3d1d9838b2
Difference Hash:326234707020e060
Wavelet Hash:183e187e3c387e3c
Color Hash:#ac536b

Other Hashes

Crop Resistant:326234707020e060

Scan History

Scan history not available

Unable to load historical scan data