Security Scan Report: mtbnatar.shop

Submitted: Apr 10, 2026, 12:18:58 PMCompleted: Apr 10, 2026, 12:20:05 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 11 HTTP transactions. The main domain is mtbnatar.shop and was registered NaN years ago.

Submitted URL: https://mtbnatar.shop/products/placa-de-gas-bosch-pps9a6b90-serie-6-90-cm-de-vidrio-templado-negro?currency=EUR&variant_sku_code=8417281-0-0-0-0-0-0&gad_source=1&gad_campaignid=23240078809&gbraid=0AAAABB-m_xlWVNn4RicaOLsKnz9nvjdqe&gclid=CjwKCAiAjc7KBhBvEiwAE2BDOf75QVhQEVPAwL-9hRPNtFR1DwBItRH7d5Gk-R2uTwA8aLU8iDvPHhoCbcUQAvD_BwE

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 403 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

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

DNS points to prohibited IP | mtbnatar.shop | Cloudflare

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(32%)

Domain Information

Domain 'mtbnatar.shop' uses the commerce-oriented generic top-level domain (.shop) while skipping any subdomain. Its registrable label 'mtbnatar' stretches across 8 characters holding two vowels versus six consonants. Breaking it apart gives 3 words: mt, bn, atar. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mtbnatar.shop/products/placa-de-gas-bosch-pps9a6b90-serie-6-90-cm-de-vidrio-templado-negro?currency=EUR&variant_sku_code=8417281-0-0-0-0-0-0&gad_source=1&gad_campaignid=23240078809&gbraid=0AAAABB-m_xlWVNn4RicaOLsKnz9nvjdqe&gclid=CjwKCAiAjc7KBhBvEiwAE2BDOf75QVhQEVPAwL-9hRPNtFR1DwBItRH7d5Gk-R2uTwA8aLU8iDvPHhoCbcUQAvD_BwE

Page Load Overview

0.53s
Total Load Time
11
HTTP Requests
9
Domains
635 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-US
Text Length:860 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software32% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
32%
documentation technical
31%
e-commerce
15%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.26.232United States
AS13335Cloudflare, Inc.
1146.75.121.194Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
152.204.140.49Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
123.50.131.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
195.100.248.105Berlin, State of Berlin, Germany
AS20940Akamai International B.V.
1108.138.7.129United States
AS16509Amazon.com, Inc.
1104.18.31.78United States
AS13335Cloudflare, Inc.
134.111.241.208Kansas City, Missouri, United States
AS396982Google LLC
1104.17.231.54United States
AS13335Cloudflare, Inc.
119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C912A673F0F959290043C26275B9BB2D7967A01B9BB108D57E5E42725F8EF83F902388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lVa/Paael22zVIz+VO6P1G94nnE3CeNwCpNSpFPsfsds/sunsZ9Aei:Da/iP2cjVpw4nnE3Cen1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9669:A+CEFCdCoIqAJFkPICHAPksjawRrCYQAwUoDSBESESvkYDJICwCGQmTCGgYDEAnYikcwWmCMCQJAAakUHAQEAKCSHgRCgG2S

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:c7cfcfcfcfe7c7ff
Perceptual Hash:b838c7671861f339
Difference Hash:1e3c1838380c1600
Wavelet Hash:80848c848fc3033f
Color Hash:#79d284

Other Hashes

Crop Resistant:1e3c1838380c1600

Scan History

Scan history not available

Unable to load historical scan data