Security Scan Report: mmg.whatsapp.net

Submitted: Dec 4, 2025, 5:28:52 AMCompleted: Dec 4, 2025, 5:31:56 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 mmg.whatsapp.net and was registered NaN years ago.

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

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

WhatsApp Error

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

unknown

(0%)

Domain Information

Within the network infrastructure generic top-level domain (.net), 'mmg.whatsapp.net' is registered; it also runs on subdomain 'mmg'. Its registrable label 'whatsapp' stretches across 8 characters with two vowels and 6 consonants. Segmentation suggests 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://mmg.whatsapp.net/

Page Load Overview

0.11s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:29 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

T105B0125A43233226BC3552504CD231C02DC42375084B8EA90D81D097D1C9025DD022D0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxwvNNwVFgXXnRSAEtvAUzUb/VFgXXnNAv1qz:qzxwwvczEdAV/vAK1qz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:e9ec1a45ae27dfeafd80940af36ce3c3

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:1fffffffffffffff
Perceptual Hash:8f0f0f0f0f0f0f0e
Difference Hash:6000000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#3a7778

Other Hashes

Crop Resistant:6000000000000000

Scan History

Scan history not available

Unable to load historical scan data