Security Scan Report: www.abz-bau-saar.de

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Submitted: Jan 7, 2026, 10:48:24 AMCompleted: Jan 7, 2026, 10:51:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 39 HTTP transactions. The main domain is abz-bau-saar.de and was registered NaN years ago.

Submitted URL: https://www.abz-bau-saar.de/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with over 7 years of registration
Unranked status not a concern due to long domain age and lack of suspicious activity
Domain age information unavailable

Details

Page Title

Ausbildungszentrum AGV Bau Saar - Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(54%)

Domain Information

Within the German country-code top-level domain (.de), 'www.abz-bau-saar.de' is registered and includes subdomain 'www'. The core label 'abz-bau-saar' covers 12 characters containing 5 vowels alongside five consonants, plus 2 hyphens. Tokenizing the label suggests 4 words: a, bz, bau, saar. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.abz-bau-saar.de/

Page Load Overview

59.81s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:4,286 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning54% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
54%
government public service
47%
documentation technical
35%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2217.160.0.123Germany
AS8560IONOS SE
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB03981284CE363F0217A6C0F9302BAEF193C57AC71B8E51B3BE465E9FD6E86095605D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6pRhoUk+CF6IId02LxfU+cuBClqUx25m3KKxJb:6+UvCkIIxU+fBClqUx25m3KKxh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39780:EDBBRCRgUNDxghfLCkQEMA04JnCkkDIAQIiTCYWsgITqloB7rSIEAYD0JiHEHp0kEPAhIkEBSWBgApALRKAgZyUOlhmJAUR6

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:ff40c0000000ffff
Perceptual Hash:f453861fa1a32ce9
Difference Hash:8484809290363c34
Wavelet Hash:fff4c0400000ffff
Color Hash:#93351f

Scan History

Scan history not available

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