Security Scan Report: kidoz.shop

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Submitted: May 12, 2026, 7:47:00 AMCompleted: May 12, 2026, 7:48:34 AMpubliccompleted
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Summary

This website contacted 23 IPs in 4 countries across 18 domains to perform 46 HTTP transactions. The main domain is kidoz.shop and was registered NaN years ago.

Submitted URL: https://kidoz.shop/login?from=%2Forders

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

The site is a newly created, unranked domain with critical IDS alerts for malware and C2 activity, indicating a high‑risk malicious site.

Risk Factors
Newly registered domain (<7 days)
Unranked domain reputation
Critical IDS alerts indicating malware activity and command‑and‑control
Form collecting mobile number without clear purpose
Multiple external script sources (cloudfront, Google services)
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(85%)

Domain Information

You're looking at domain 'kidoz.shop' on the commerce-oriented generic top-level domain (.shop). The registrable portion 'kidoz' spans 5 characters holding two vowels versus 3 consonants. Tokenizing the label suggests two words: kid, oz. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kidoz.shop/login?from=%2Forders

Page Load Overview

2.36s
Total Load Time
46
HTTP Requests
18
Domains
777 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-IN
Text Length:89 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network85% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
85%
e-commerce shopping
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
257.144.244.128Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
213.200.128.116Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
2192.178.183.97United States
AS15169Google LLC
220.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
257.144.244.1Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
215.207.158.57Mumbai, Maharashtra, India
AS16509Amazon.com, Inc.
252.222.232.36United States
AS16509Amazon.com, Inc.
2142.250.154.95United States
AS15169Google LLC
2142.251.110.94United States
AS15169Google LLC
265.8.102.123United States
AS16509Amazon.com, Inc.
4623--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FBF22AA70864B470027717D69FF77F29426EA02BD552CC9BB25E8F288BD68C44E0315E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:y467LJVg4yYJHjVc+HyVYwiwM/M7P4LZ1bvFyrP3nsSfhZwSBWTT5HxaQW5H7zGp:6LvZy4HjV5HyV93OTT5RavGmXm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36261:IbAYlIAIAqCENpvsAIBkIrENAdiQ8IAEARgMBsABA0XJINWhGgIgCqJMCWwSALoQSGEHEoIEgEMxMagBgaRACUUcSQngTUZC

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:fff1f1f1ff7f7fff
Perceptual Hash:c96d92926f48f692
Difference Hash:0203031300828000
Wavelet Hash:0f010101f07070f0
Color Hash:#c72dd2

Other Hashes

Crop Resistant:0203031300828000

Scan History

Scan history not available

Unable to load historical scan data