Security Scan Report: magyarkoltok-com.pages.dev

Redirected to: https://magyarkoltok-com.pages.dev/feed/

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Submitted: Jan 12, 2026, 9:57:02 PMCompleted: Jan 12, 2026, 9:58:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is magyarkoltok-com.pages.dev and was registered NaN years ago.

Submitted URL: https://magyarkoltok-com.pages.dev/feed/index.html

Effective URL: https://magyarkoltok-com.pages.dev/feed/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age reduces suspicion
Absence of malicious Indicators of Compromise
No suspicious content or phishing indicators
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'magyarkoltok-com.pages.dev' is registered with subdomain 'magyarkoltok-com'. The registrable portion 'pages' spans 5 characters split between 2 vowels and three consonants. Tokenizing the label suggests 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://magyarkoltok-com.pages.dev/feed/index.html

Page Load Overview

1.58s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:267 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.47.173United States
AS13335CLOUDFLARENET
31--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15321353EC2C1520AE0271164FB91F798265D825291670F713A9EB1BAF6CC0F752936C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hVGD6FJRA3ZsjNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0Ll72rKv:b669j2CZLY5Mc6NMLYzkYKLlOy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1245:AQAAhggIEQAAAEAAAAAAAgBgAAAAAAAAAQEAAAACAABFABAAAgAAAAAQACAAAAAAAAAQAAAEAAIAQAgRECIAAAAAAAAACAQA

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:ffffe7e7ffffff00
Perceptual Hash:e6a25d9966b26698
Difference Hash:08000c0c14000008
Wavelet Hash:3c3c2424041c9f00
Color Hash:#3a931f

Other Hashes

Scan History

Scan history not available

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