Security Scan Report: zaar.uomsf.xyz

Redirected to: https://zaar.uomsf.xyz/static/404.html

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Submitted: Dec 26, 2025, 10:23:01 AMCompleted: Dec 26, 2025, 10:24:04 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 5 domains to perform 0 HTTP transactions. The main domain is zaar.uomsf.xyz and was registered NaN years ago.

Submitted URL: https://zaar.uomsf.xyz/u0zjxgis/fa8334ee3e11b8e1bf59753165?_t1766726819931&p=w

Effective URL: https://zaar.uomsf.xyz/static/404.htmlRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; the URL simply serves a 404 page.

Safety Factors
No credential or payment forms present
No external links or redirects to suspicious sites
Content is a standard 404 page
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

cryptocurrency blockchain

(78%)

Domain Information

The domain 'zaar.uomsf.xyz' uses the open generic top-level domain (.xyz), featuring subdomain 'zaar'. Count 5 characters in 'uomsf' split between 2 vowels and 3 consonants. It segments into 3 words: u, o, msf. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zaar.uomsf.xyz/u0zjxgis/fa8334ee3e11b8e1bf59753165?_t1766726819931&p=w

Page Load Overview

2.05s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:327 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain78% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
78%
gambling betting
64%
healthcare medical
61%
finance banking
57%
technology software
56%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9F0AB77CCD022AFA2A2201384B90C9412E5B6AACB2FDC92E304731C3C4D4DC8928920

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:NIa3v71rDgbB1YYAczTvsmtKv/Xs1Ow4ElK3Jd4Cu2:NIORZYAIsm4KuElKZd4I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:596:AQBAAAAAAAAAAAAAAAAAAAAAAAAgACAAAAAAAgAAAAAAAAAAAAAAAAAAAAAAAAAAAYAACAAAAAAAwIAAAAAAAAAAAAAAAAAA

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:0000000000000000
Perceptual Hash:83030303070fffff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#4a783a

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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