ScanMalware.com

Security Scan Report: www.zalf.de

Redirected to:
https://www.zalf.de/en/Pages/ZALF.aspx
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Submitted: Jun 16, 2026, 8:13:33 AMCompleted: Jun 16, 2026, 8:14:00 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is zalf.de.

Submitted URL: http://www.zalf.de

Effective URL: https://www.zalf.de/en/Pages/ZALF.aspxRedirected

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

Site appears to be a legitimate research institute; no phishing or malware signs, but unknown age and obfuscated scripts warrant caution.

Risk Factors
Form present on a domain with unknown creation date
Highly obfuscated JavaScript (eval, Function constructor, base64 concatenation)
Safety Factors
Self‑branding aligns with domain (no impersonation)
No password or payment fields in the form
No external malicious links or IoC matches
No network‑level IDS alerts
Domain age information unavailable

Details

Page Title

ZALF-Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(47%)

Domain Information

The domain name 'www.zalf.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www'. The second-level label 'zalf' is 4 characters long holding 1 vowel versus three consonants. Tokenizing the label suggests 2 words: zal, f. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.zalf.de

Page Load Overview

5.44s
Total Load Time
171
HTTP Requests
4
Domains
4.1 MB
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-GB
Text Length:25,896 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service47% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
47%
education learning
35%
documentation technical
27%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57148.251.5.29Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
57193.175.153.60Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
5782.165.167.77Germany
AS8560IONOS SE
1713--

Detected Technologies6

X-UA-Compatible
100%
MetaGenerator
100%
JQueryv1.11.1
100%
ZURB Foundation
30%
Microsoft ASP.NET
30%
Lightbox
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C244C5734846083F7177A2DA74B9AB16E1E6857BD58D0408F3FD277E0782F487C26629

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:xdT92jT9XTecdaUJsG0rOV/OLfe5s/9u8KFuMy8Z:xdT92jT9jda8sZruUm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:277736:JEioGiIATMjBCxAkhQEAQQWJFApA+GFAAgIEkAQAACliICVHMeQRJySeBtiSm4wuncA1YwAgAtmccDQsIJAQ5xMgSA4GACIr

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:ff00000041ffffff
Perceptual Hash:ed0e96b17998c466
Difference Hash:2271e1f2cf0e0c0c
Wavelet Hash:ff00000000ffffff
Color Hash:#c5bc87

Other Hashes

Crop Resistant:2271e1f2cf0e0c0c,72f9e5e2f25bc74e

Scan History

Scan history not available

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