Security Scan Report: call.whatsapp.com

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Submitted: Nov 23, 2025, 9:48:04 PMCompleted: Nov 23, 2025, 9:49:33 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 31 HTTP transactions. The main domain is call.whatsapp.com and was registered NaN years ago.

Submitted URL: https://call.whatsapp.com/

The Cisco Umbrella rank of the primary domain is #1,182 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official brand subdomain
Long-established domain
High Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

WhatsApp Voice Call

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(40%)

Domain Information

You're looking at domain 'call.whatsapp.com' on the commercial generic top-level domain (.com), featuring subdomain 'call'. Count 8 characters in 'whatsapp' with two vowels and 6 consonants. Word splitting yields three words: what, s, app. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://call.whatsapp.com/

Page Load Overview

0.56s
Total Load Time
31
HTTP Requests
2
Domains
307 KB
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:3,098 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network40% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
40%
technology software
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
152a03:2880:f277:1cd:face:b00c:0:167Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E5042BF25064E561020BABE6A431A318F4B7633FDFA55BF0E254DAB4A78DC7CB603485

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ITlHWV+5nffNLCjR+zegwPH0Zb1jWEW2K8F+JL9outu11:wRa+5nfkqwPHyb1jwiF+8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:180514:PBC2FkwQBEShumxFWApSIIyoAIHAhJRE0Aow5kQnABUBLkQnbAUoC4aoGg8YCBpOFAAsgBlDCFAgqi8SbASYQnbIijCEoEBQ

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:e3f440dcd554d4d4
Difference Hash:9408080800d1d9d9
Wavelet Hash:fee6e6e6fe000000
Color Hash:#409fbf

Other Hashes

Scan History

Scan history not available

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