Security Scan Report: mtraf.pages.dev

Redirected to: https://mtraf.pages.dev/fa-duotone-901

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Submitted: Jan 5, 2026, 10:30:03 PMCompleted: Jan 5, 2026, 10:31:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is mtraf.pages.dev and was registered NaN years ago.

Submitted URL: https://mtraf.pages.dev/fa-duotone-901.html

Effective URL: https://mtraf.pages.dev/fa-duotone-901Redirected

AI Security Verdict

High Risk

Confidence: 95%

7
Risk Score

Site flagged malicious due to primary domain Indicator of Compromise; treat as high risk and do not use.

Risk Factors
Primary domain matches malicious Indicator of Compromise
Domain pages.dev flagged as malicious
Unranked/low reputation in Cisco Umbrella
Domain age information unavailable

Details

Page Title

404 Not Found

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'mtraf.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'mtraf'. Count 5 characters in 'pages' with 2 vowels and three consonants. Segmentation suggests 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mtraf.pages.dev/fa-duotone-901.html

Page Load Overview

19.67s
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

T1BC31953ED282024788139251FF81EB983A1C8292A50A0FE03B4D71AFF5CC0F696533C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hVi4bxlD69ejNQCRtgoLY95Mu56+eMHLFCOXAkRcfRrzd0oj9O72rKPS4bxi:bi4bz69ej2CZLY5Mc6NMLYzkYKoUOX4A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1514:AAACICgAAAAAIAABAEAEIIgAAAQAAAABAAAAICIAABCgkAAAAAAAAAAgEABAAAMEAAAAJJAAAQEABEBQAAAAAEAAAgCAQEAA

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:#e0d06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data