Security Scan Report: api.whatsapp.com

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Submitted: Jan 9, 2026, 8:15:53 PMCompleted: Jan 9, 2026, 8:17:03 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 18 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: https://api.whatsapp.com/send?phone=447423312931

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 page is a legitimate WhatsApp API link with no security concerns.

Safety Factors
Official WhatsApp API endpoint
Well‑established domain with long registration history
High Cisco Umbrella reputation rank
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(56%)

Domain Information

The domain 'api.whatsapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'api'. The second-level label 'whatsapp' is 8 characters long holding 2 vowels versus six consonants. Segmentation suggests three words: what, s, app. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.whatsapp.com/send?phone=447423312931

Page Load Overview

2.61s
Total Load Time
18
HTTP Requests
3
Domains
312 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:3,140 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network56% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
56%
technology software
41%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
181--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3243AF25168DC61490B47E6DA317324E8BB127FDF9457F0E0A4D6B0AB8EC79B50348A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:JaulHWV+5nffNLCjyZnYgRnmjZO09epkjvCv8+Y90Iku15:guRa+5nfkiRnm9O09eejvz3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:216659:QqvDZIFCISUZ9ZACsAiTKAZECSCUASAEQxAFAIZqIAFJgwiMQchGgoIKPiyMFkADChBlAQEJaqVWh8EixExE6OoRBMAQitEN

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:e3f440dcd554d0dc
Difference Hash:8c080c0c00c9d9d9
Wavelet Hash:fee7e7e7ef000000
Color Hash:#d279a1

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data