Security Scan Report: kaywat-codes.pages.dev

Redirected to:
https://kaywat-codes.pages.dev/views/tiktok-dupefinder
Submitted: May 10, 2026, 8:07:21 PMCompleted: May 10, 2026, 8:08:41 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 5 domains to perform 17 HTTP transactions. The main domain is kaywat-codes.pages.dev and was registered NaN years ago.

Submitted URL: https://kaywat-codes.pages.dev/views/tiktok-dupefinder.html

Effective URL: https://kaywat-codes.pages.dev/views/tiktok-dupefinderRedirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

Moderate risk site; no clear malicious activity but unknown subdomain age and unranked domain warrant caution.

Risk Factors
Unknown subdomain age on a free hosting platform
Unranked domain reputation
Presence of a form on a newly‑created subdomain
Safety Factors
Self‑branding matches the subdomain (no brand impersonation)
No malicious IoC matches
No JavaScript malware patterns detected
No credential exfiltration or suspicious network alerts
Domain age information unavailable

Details

Page Title

TikTok DupeFinder | KayWat Codes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

The domain name 'kaywat-codes.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'kaywat-codes'. The registrable portion 'pages' spans 5 characters split between 2 vowels and 3 consonants. Word splitting yields 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kaywat-codes.pages.dev/views/tiktok-dupefinder.html

Page Load Overview

0.66s
Total Load Time
16
HTTP Requests
5
Domains
301 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
Text Length:1,352 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
71%
government public service
29%
social media network
25%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.20.94United States
AS15169Google LLC
4172.217.208.95United States
AS15169Google LLC
4188.114.97.3United States
AS13335Cloudflare, Inc.
4104.17.24.14United States
AS13335Cloudflare, Inc.
164--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BC2945395F321632813D19A6FF7A71AB7B5D003C44AC9697AEC0298CFCEED5985328C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:CY8Y9TvjsJ22S6MNup5O0W/G1FEDd//9/eDCD/JMWf2KVlhNNV5nbJtjwDN2ELHO:CO9TQM0KhT8OP8xOvnfQLJ4SBpSa6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27268:DEjoaXE4VAOEDADlSjwAuFmIRGIDSQjAcoCPw9KJqAUsJYYthQEaYO1CGABMSKhgGUJUBUhqzhwAwIOiUYiEjBsAgoR4BFCz

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:023c3e2604043c38
Perceptual Hash:92b4696969b6b694
Difference Hash:85edeccccdcdc9c1
Wavelet Hash:073d3f3705153d31
Color Hash:#c587a7

Other Hashes

Crop Resistant:84ececcccdcdc9c3

Scan History

Scan history not available

Unable to load historical scan data