Security Scan Report: mmg.whatsapp.net

Submitted: Dec 4, 2025, 5:29:35 AMCompleted: Dec 4, 2025, 5:32:18 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.

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

Safe Website

Confidence: 95%

0
Risk Score

Legitimate WhatsApp error page with no security concerns.

Safety Factors
Official brand subdomain
No credential or payment collection
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

WhatsApp Error

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

unknown

(0%)

Domain Information

The domain 'mmg.whatsapp.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'mmg'. The second-level label 'whatsapp' is 8 characters long split between two vowels and 6 consonants. Word splitting yields 3 words: what, s, app. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.20s
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:#40bf59

Other Hashes

Crop Resistant:6000000000000000

Scan History

Scan history not available

Unable to load historical scan data