Security Scan Report: api.whatsapp.com

Site favicon
Submitted: Dec 2, 2025, 9:41:00 PMCompleted: Dec 2, 2025, 9:43:01 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 20 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: https://api.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: 98%

0
Risk Score

Legitimate WhatsApp page with no security concerns.

Safety Factors
Official WhatsApp brand domain
Long‑standing registration date (2008‑09‑04)
High reputation ranking
Standard hosting without suspicious redirects
Domain age information unavailable

Details

Page Title

Open WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(67%)

Domain Information

The domain 'api.whatsapp.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'api'. Count 8 characters in 'whatsapp' split between 2 vowels and 6 consonants. Tokenizing the label suggests three words: what, s, app. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.60s
Total Load Time
20
HTTP Requests
2
Domains
274 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:3,103 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network67% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
67%
technology software
61%
corporate business
36%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
102a03:2880:f277:1cd:face:b00c:0:167Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
202--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T187041AF36164E861051B5BF99431A314F8BB227FDF946BF0E098DAB4ABCDC787602485

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ObdtlbWV+5nffNLCjVqz6gwPH0Zb1+r4Gm9Rvfu1H:cNa+5nfkOwPHyb1+t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184880:EHhQQxKQuIBMA9iwiuvRBwZKMABmIgOuRCxwYkwQcBQRSIGYAoEUlgUyhI0MARAICEQEAohhoEPytAtgIDEQmQaAYRWXog8M

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:66fee6e7ffe7ffff
Perceptual Hash:f755dcc8023372cc
Difference Hash:8c140c4c110c0800
Wavelet Hash:66fee6e600c0e2f2
Color Hash:#5d3a78

Other Hashes

Crop Resistant:8c140c4c110c0800

Scan History

Scan history not available

Unable to load historical scan data