Security Scan Report: mta-sts.sbsbelgium.be

Submitted: Mar 7, 2026, 7:39:22 AMCompleted: Mar 7, 2026, 7:41:02 AMpubliccompleted
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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 mta-sts.sbsbelgium.be and was registered NaN years ago.

Submitted URL: https://mta-sts.sbsbelgium.be

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

MTA-STS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(34%)

Domain Information

The domain 'mta-sts.sbsbelgium.be' uses the Belgian country-code top-level domain (.be) with subdomain 'mta-sts'. The core label 'sbsbelgium' covers 10 characters containing three vowels alongside 7 consonants. Tokenizing the label suggests two words: sbs, belgium. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mta-sts.sbsbelgium.be

Page Load Overview

0.47s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:66 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical34% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
34%
cryptocurrency blockchain
28%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220.105.232.39Amsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DD0970FA4E2080A46F097C00DC0F6610DC527562A836D103B823150EF5D016CA873D0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7Y2qF+WEdxqrWi+5EF7k5ZUotsiFMzfsz:hRk+W4xqSiaEF7WpsSH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:daf6dcea4a7b16e34c4b2d9c2ba2209a

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:c000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#3a6878

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

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