Security Scan Report: mtraf.pages.dev

Redirected to: https://mtraf.pages.dev/boxicons

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Submitted: Jan 10, 2026, 6:03:41 AMCompleted: Jan 10, 2026, 6:05:18 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mtraf.pages.dev and was registered NaN years ago.

Submitted URL: https://mtraf.pages.dev/boxicons.html

Effective URL: https://mtraf.pages.dev/boxiconsRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Established domain (>5 years)
No login, payment, or hidden sensitive fields
Unranked status not coupled with any suspicious indicators
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'mtraf.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'mtraf'. Its registrable label 'pages' stretches across 5 characters holding 2 vowels versus 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mtraf.pages.dev/boxicons.html

Page Load Overview

13.60s
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
3188.114.97.3United 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

T13131873AD2C6064784139254FFC0EB943A188291A50B0FE1774D719BF5CD0F696533C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hVi4fxlD69ejNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0oj9O72rKPS4fxi:bi4fz69ej2CZLY5Mc6NMLYzkYKoUOX4k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1502:CAAAAAAAgAIAIAABAQACAIAIAAQAAAAACACASAAAgAAAACAABAEAACAAAAQAAACAAgBAAsAAABAAAAAAAAEEAEAAEAoAAICA

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:f6a35c8966a26699
Difference Hash:08000c0c14000008
Wavelet Hash:0c0c0000040c4f00
Color Hash:#e0bd6c

Other Hashes

Scan History

Scan history not available

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