Security Scan Report: dit.whatsapp.net

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Submitted: Nov 25, 2025, 6:55:18 AMCompleted: Nov 25, 2025, 6:57:56 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is dit.whatsapp.net.

Submitted URL: https://dit.whatsapp.net/

The Cisco Umbrella rank of the primary domain is #341 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
High Cisco Umbrella ranking (top 1K)
Subdomain of a well‑known brand (WhatsApp)
No suspicious forms or external links
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇩🇪

German

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'dit.whatsapp.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'dit'. The second-level label 'whatsapp' is 8 characters long containing two vowels alongside 6 consonants. Splitting it apart reveals 3 words: what, s, app. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dit.whatsapp.net/

Page Load Overview

0.17s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:50%
Script Type:Latin
Text Length:204 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12a03:2880:f277:1cd:face:b00c:0:167Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
22--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6E0D8B6C0D05C6702B355DDA988B24465D4A51B58351C05BA8CE15CCFCDB5FC513294

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxV/5VHHQYk/B96AAD/Y6M7r2REEOVSAve/FpWaWAEaLofTDY0YNdxELa:kxV7HfAAEn7r2RPpFp2aUHzY7xELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:35c77adfcb7490db12cc523761591822

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:003fffffffffffff
Perceptual Hash:83030307077f7e7e
Difference Hash:e0c0000000000000
Wavelet Hash:003fffff00000000
Color Hash:#409fbf

Other Hashes

Crop Resistant:e0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data