Security Scan Report: api.whatsapp.com

Submitted: Jan 20, 2026, 3:11:00 PMCompleted: Jan 20, 2026, 3:12:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 19 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: https://api.whatsapp.com/send?phone=551140043535

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

Legitimate WhatsApp share link; no security concerns detected.

Safety Factors
Official brand domain
Long‑standing registration
High reputation ranking
No suspicious forms or content
No Indicators of Compromise
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(56%)

Domain Information

Within the commercial generic top-level domain (.com), 'api.whatsapp.com' is registered; it also runs on subdomain 'api'. Its registrable label 'whatsapp' stretches across 8 characters holding two vowels versus 6 consonants. Word splitting yields three 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://api.whatsapp.com/send?phone=551140043535

Page Load Overview

1.79s
Total Load Time
19
HTTP Requests
3
Domains
299 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:3,136 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
19157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
191--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181243BF31168DC61490B57E6DA317324E8BB127FDF9457F0E064DAB0AB8AC79B50348A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:sPlHWV+5nffNLQnegRnmjZO0925pkjvTvjDp9DWku1Y:ERa+5nfqRnm9O09iejv3z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:211937:QD5FsULGoqgyGSGVxHHIQmAAgFUwAAAuiAJiOJigBTgBIjBMD5GuDEYRKogAxESCgBoqBIRQgxQciGBHHEXVBQVgSpjDmQXA

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:#53ac99

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data