Security Scan Report: www.gsies.eu

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Submitted: Dec 30, 2025, 10:34:14 AMCompleted: Dec 30, 2025, 10:36:17 AMpubliccompleted
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Summary

This website contacted 6 IPs in 4 countries across 11 domains to perform 122 HTTP transactions. The main domain is gsies.eu.

Submitted URL: https://www.gsies.eu/de/Eigenverwaltung_B_N_R_St_Magdalena_Niedertal

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Hidden password field on an unranked, unknown-age domain suggests credential harvesting – treat as high‑risk phishing.

Risk Factors
Hidden password field (credential harvesting)
Unranked domain with no reputation
No visible indication of legitimate ownership or age
Domain age information unavailable

Details

Page Title

Gemeinde Gsies - Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(99%)

Domain Information

Within the .eu country-code top-level domain, 'www.gsies.eu' is registered, featuring subdomain 'www'. Count 5 characters in 'gsies' holding two vowels versus 3 consonants. Segmentation suggests two words: g, sies. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.gsies.eu/de/Eigenverwaltung_B_N_R_St_Magdalena_Niedertal

Page Load Overview

68.95s
Total Load Time
104
HTTP Requests
11
Domains
2.2 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
Text Length:5,541 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service99% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
99%
real estate property
54%
education learning
42%

Detected Features

Login Form
Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1920.107.132.93Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
17146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
17185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
1785.31.14.36Wels, Upper Austria, Austria
AS21013eww ag
1762.101.0.189Bolzano, Trentino-Alto Adige, Italy
AS15584Informatica Alto Adige Spa
1752.155.171.125Dublin, Leinster, Ireland
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1046--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DE3D82179AD083F103362D0E169DF9666A3E237D25B4DA077BC83E26FC1D45991E23E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vGgSG2jdaHjXoX2lh56roFWvqoNpFgXAlKuuRG9YR0TmlmqJNAJfN9a9La6dDg5i:vGw0J1hi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151607:LoZCAgEDIBHIYEYjGkQJ0AtpEARDVRE2CCVGEAcDMzYYqCBIqBJhRVQB6RCzhyGiAo8gIlAYQFoOhQQQBsYygMCMRjaIE5CX

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:0000007c01ffffff
Perceptual Hash:ba43f13e80c07e3b
Difference Hash:ccc9c1e1672f103e
Wavelet Hash:0000007d03ffffff
Color Hash:#2d45d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data