ScanMalware.com

Security Scan Report: whatsapp.radclub-eibiswald.at

Redirected to:
https://chat.whatsapp.com/EZhYO3can3YAEbhBSyrKv5
Site favicon
Submitted: Jun 11, 2026, 2:57:57 PMCompleted: Jun 11, 2026, 2:59:07 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is chat.whatsapp.com and was registered NaN years ago.

Submitted URL: https://whatsapp.radclub-eibiswald.at/

Effective URL: https://chat.whatsapp.com/EZhYO3can3YAEbhBSyrKv5Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site mimics WhatsApp branding but contains no phishing forms or malware; low risk overall.

Risk Factors
Brand impersonation (major brand name used on unrelated domain)
Domain not listed in Cisco Umbrella top 1 M (unranked)
High JavaScript obfuscation score (critical) – though no malicious payload
Safety Factors
Very old domain (≈18 years)
No forms or credential collection
No malicious network activity or external IoC matches
Final redirect points to legitimate WhatsApp domain
Domain age information unavailable

Details

Page Title

WhatsApp Group Invite

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(80%)

Domain Information

The domain name 'whatsapp.radclub-eibiswald.at' uses the Austrian country-code top-level domain (.at) and includes subdomain 'whatsapp'. The registrable portion 'radclub-eibiswald' spans 17 characters with 6 vowels and ten consonants; it also includes one hyphen. It segments into 5 words: rad, club, e, ibis, wald. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whatsapp.radclub-eibiswald.at/

Page Load Overview

2.46s
Total Load Time
31
HTTP Requests
4
Domains
1.2 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
Text Length:1,791 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network80% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
80%
technology software
78%
documentation technical
68%
corporate business
66%
adult content
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1683.169.0.163Strasbourg, Grand Est, France
AS8972Host Europe GmbH
15157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
312--

Detected Technologies2

Plesk
40%
Arkose Labs
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103142B72A27CD936040B27D9D631B319A49B537FDFD867F0D0699FB0A286CB83903496

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EuHFwgbt1eF08320283kwA4YPCfkryrxsixSA2xKOMdg7tjeErzmY0Cz46jPWkwb:Jwf2sC5jPWpS6pkjvFFbGCmaFZf9yUq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194442:cJCJQKAgkBJZQVdACjABgyBABxwkiCmqglQNQJDJqG5hjYYWbAJSwMgDpAUoSQEG2ZwgUV8EFkEgE4MBRSBlgoIulRxgAhZA

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:ffffffffff000000
Perceptual Hash:e3f448dcd272d0d8
Difference Hash:84080c0c00d1d1d9
Wavelet Hash:feefe7e7e7000000
Color Hash:#6c75e0

Other Hashes

Crop Resistant:84080c0c00d1d1d9,4121d9c129d1d1cd

Scan History

Scan history not available

Unable to load historical scan data