Security Scan Report: ebookers.de

Redirected to:
https://www.ebookers.de/
Submitted: Apr 12, 2026, 8:16:31 PMCompleted: Apr 12, 2026, 8:17:42 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 27 HTTP transactions. The main domain is ebookers.de.

Submitted URL: https://ebookers.de

Effective URL: https://www.ebookers.de/Redirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 429 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

Bot oder Mensch?

Scan Type

public

Language

🇩🇪

German

(53% confidence)

Category

unknown

(0%)

Domain Information

The domain 'ebookers.de' uses the German country-code top-level domain (.de) while skipping any subdomain. The core label 'ebookers' covers 8 characters holding four vowels versus four consonants. Tokenizing the label suggests 3 words: e, booker, s. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ebookers.de

Page Load Overview

2.22s
Total Load Time
34
HTTP Requests
6
Domains
530 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:53%
Script Type:Latin
Text Length:157 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1092.123.104.25Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8184.86.251.15France
892.123.104.22Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
83.78.137.250UnknownUnknown
344--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154B3A6696E1D38B62A2720FFD065C92BA72C4183643D3EE1376EC95CF1C93924969DC3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wQ9Y2QGoFF8qtwKDBK7TKoCLgK92nTOaEOD9xH9V5uSaFtN:zHcR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115171:AcMAGCAso8BABiDwIXSEINAUCWREAjwqsxxFAwHUEIPBpIAY2IHUG6LAYkUAzQl2CkKcMuKMeBKGgLBAIEaJnYIA4FPcJEGh

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:00ffffe7e7efffff
Perceptual Hash:b3734c33334c4c73
Difference Hash:0c08200c4c0c0808
Wavelet Hash:00e3f0e0e7e7e700
Color Hash:#d2799e

Other Hashes

Crop Resistant:0c08200c4c0c0808

Scan History

Scan history not available

Unable to load historical scan data