Security Scan Report: logiclab.top

Redirected to: https://magius1.com/de/registration

Submitted: Jan 23, 2026, 7:06:16 PMCompleted: Jan 23, 2026, 7:08:02 PMpubliccompleted
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Summary

This website contacted 50 IPs in 7 countries across 49 domains to perform 231 HTTP transactions. The main domain is magius1.com and was registered NaN years ago.

Submitted URL: https://logiclab.top/MZTY9N?sub_id_3=magiuscasino

Effective URL: https://magius1.com/de/registrationRedirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain age (>180 days)
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No brand impersonation
Domain age information unavailable

Details

Page Title

Magius

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(75%)

Domain Information

The domain 'logiclab.top' uses the .top top-level domain with no subdomain. Count 8 characters in 'logiclab' holding 3 vowels versus five consonants. Segmentation suggests 2 words: logic, lab. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://logiclab.top/MZTY9N?sub_id_3=magiuscasino

Page Load Overview

3.00s
Total Load Time
231
HTTP Requests
49
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de-de
Text Length:12,678 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
gambling betting
55%
government public service
54%
corporate business
34%
documentation technical
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35206.189.5.60Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
4142.250.185.72United States
AS15169GOOGLE
435.214.136.108Groningen, Groningen, Netherlands
AS15169GOOGLE
452.49.68.250Dublin, Leinster, Ireland
AS16509AMAZON-02
4104.18.0.62United States
AS13335CLOUDFLARENET
437.157.2.250Denmark
AS198622Adform A/S
465.9.175.27United States
AS16509AMAZON-02
418.235.69.12Ashburn, Virginia, United States
AS14618AMAZON-AES
4172.67.176.149United States
AS13335CLOUDFLARENET
452.31.5.18Dublin, Leinster, Ireland
AS16509AMAZON-02
23150--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T142B4E66DB7B8593D079CD385CC30D9AD6E3E4EC1817190F4776E8657820CA64E83E2AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:HsNsqsds8scsaswsAs9sssFsfsi+TsfscscsXsFs/sPs7sG+as0sDsTs5n:U+j+z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500154:mAcuQaCGNggYiiwFAVSCskENCAQIwgBQUAEN2JQIDAOpAgBAioIKKGEGGZAAUQNC0U2wSCCWtjELXUFACW0QOVQdSiKIAeWD

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:83f3f3f3a1812434
Perceptual Hash:e76d967918163992
Difference Hash:066646424a424d6d
Wavelet Hash:c3f3e3e3e3213424
Color Hash:#a0d279

Other Hashes

Crop Resistant:066646424a424d6d

Scan History

Scan history not available

Unable to load historical scan data