Security Scan Report: tavoner.shop

Submitted: Oct 29, 2025, 7:43:49 PMCompleted: Oct 29, 2025, 7:44:38 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 4 domains to perform 22 HTTP transactions. The main domain is tavoner.shop.

Submitted URL: http://tavoner.shop/qilix.tavoner.shop/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low risk directory listing with a circular redirect; monitor but no immediate threat

Risk Factors
Circular redirect indicates possible URL manipulation or redirect loop
Safety Factors
No forms collecting credentials or payment information
No malicious Indicators of Compromise matches found
No brand impersonation or trademark misuse detected
Page is a simple directory listing without interactive elements
Domain age information unavailable

Details

Page Title

Index of /qilix.tavoner.shop/

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

e-commerce

(28%)

Domain Information

Within the commerce-oriented generic top-level domain (.shop), 'tavoner.shop' is registered and has no subdomain. Count 7 characters in 'tavoner' containing 3 vowels alongside 4 consonants. Breaking it apart gives three words: t, avon, er. Median word length is 2 characters. 't' most strongly signals Danish. Usage also turns up in Norwegian and Icelandic contexts. Overall, 'tavoner.shop' reads as Danish.

Screenshot

Security scan screenshot of http://tavoner.shop/qilix.tavoner.shop/

Page Load Overview

16.35s
Total Load Time
22
HTTP Requests
4
Domains
769 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:190 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce28% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
623.94.181.5Los Angeles, California, United States
AS36352AS-COLOCROSSING
2142.250.185.227United States
AS15169GOOGLE
2172.217.18.3United States
AS15169GOOGLE
2142.250.186.67United States
AS15169GOOGLE
2142.251.140.163United States
AS15169GOOGLE
22a00:1450:4001:810::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
2142.250.181.227United States
AS15169GOOGLE
22a00:1450:4001:827::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:830::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
229--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1153144A2F0C5903F121761A98018BBD9E0C494B8CB285E7C7DE555DBD7D0EB08C1EED1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kHkMfACZCL+8MAVGMLVWJRA3ZOhXetj7iuQ2u36DqscyMy6QX3myMkajSbIwPwWN:ifpIAhXIj7iuQ2u36msz6QHBMKr4GrD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:AAABAAAQAACAAAAQShAKABAAkAAEAAAAAgEAQAAQAQAgAAAAgAEBAYARAAAAAQBEAAAQAAAEAAAAAgKAIBAAAAEAIJQAFAAg

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:0c3e002000000000
Perceptual Hash:9a9a9a3939393939
Difference Hash:1868140000000000
Wavelet Hash:0e7e80e0f0f0f0f0
Color Hash:#d28279

Other Hashes

Crop Resistant:1868140000000000

Scan History

Scan history not available

Unable to load historical scan data