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Security Scan Report: kidoz.shop

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Submitted: May 10, 2026, 11:04:23 AMCompleted: May 10, 2026, 11:06:07 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 10 domains to perform 31 HTTP transactions. The main domain is kidoz.shop and was registered NaN years ago.

Submitted URL: https://kidoz.shop/collection/new-arrivals

AI Security Verdict

Confirmed Scam

Confidence: 88%

10
Risk Score

New, unranked site exhibiting critical malware‑related IDS alerts; treat as malicious and avoid interaction.

Risk Factors
Very new, unranked domain
Critical IDS alerts for data exfiltration
Potential command‑and‑control beacon
Large number of malicious POST requests
Domain age information unavailable

Details

Page Title

KIDOZ NIVI AND ME New Arrivals - Buy New Arrivals from https://kidoz.shop online at best prices

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(37%)

Domain Information

The domain 'kidoz.shop' uses the commerce-oriented generic top-level domain (.shop) with no subdomain. Count 5 characters in 'kidoz' split between 2 vowels and three consonants. Word splitting yields two words: kid, oz. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kidoz.shop/collection/new-arrivals

Page Load Overview

7.48s
Total Load Time
176
HTTP Requests
17
Domains
2.2 MB
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-IN
Text Length:5,135 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping37% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
37%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23142.251.110.94United States
AS15169Google LLC
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
17142.251.13.95United States
AS15169Google LLC
1715.207.158.57Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
17142.250.154.97United States
AS15169Google LLC
1718.64.16.65United States
AS16509Amazon.com, Inc.
17151.101.66.217United States
AS54113Fastly, Inc.
17142.251.110.95United States
AS15169Google LLC
1752.222.232.50United States
AS16509Amazon.com, Inc.
1720.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
17610--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A343B570174367964177899CFB73F5961ABB02FDA4188CB966E0B28CFC7EC06E222C5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FzZyKXmLSkFgGDgcNNjP6T7ar7Jkdj/D9UCxo4iHf97gigaWdTpoiBTT5fbvGmXm:xmPDtd7KiVWtM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:238722:oAAFOECCBKUZvU5tA0QMQHUMwKWAqUYUgkIQDASBECLljeUAGHQkEMCI0wIMIXisOWPjgBSIhxELCGAAJAnoI3qUmEbIGJTi

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:a7ef83c3c38383c3
Perceptual Hash:fdd78332423d2d48
Difference Hash:4a0e2a2a2b2b2323
Wavelet Hash:a2ff83c3c381c3c3
Color Hash:#bbd279

Other Hashes

Crop Resistant:4a0e2a2a2b2b2323

Scan History

Scan history not available

Unable to load historical scan data