Security Scan Report: wannorauto.com

Redirected to: https://wannorauto.com/

Submitted: Apr 7, 2026, 12:11:55 AMCompleted: Apr 7, 2026, 12:13:36 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 wannorauto.com and was registered NaN years ago.

Submitted URL: http://wannorauto.com/

Effective URL: https://wannorauto.com/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

wannorauto.com

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(67%)

Domain Information

Within the commercial generic top-level domain (.com), 'wannorauto.com' is registered with no subdomain. Count 10 characters in 'wannorauto' split between 5 vowels and five consonants. Breaking it apart gives three words: wan, nor, auto. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://wannorauto.com/

Page Load Overview

0.45s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:86 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
67%
documentation technical
55%
cryptocurrency blockchain
47%
phishing scam
42%
news media journalism
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
372.18.200.122Santa Clara, California, United States
AS26277ServerPoint.com
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:afQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsza2bMy8Old6:hhoC9JSqzzbs6o3Sj3gcrs22eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184461:ABMQgygARTlQgBto6gAJKBGIUMGdAoQPABZEI0jAkhgREIBqJRAljOZEAQMjrAIaMAIiAAA0cqA3MBZBAA4SoBg3EBQJElAj

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:ffcfc3cfffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1800000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#bdc587

Other Hashes

Crop Resistant:00180c1800000000

Scan History

Scan history not available

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