Security Scan Report: api.whatsapp.com

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Submitted: Dec 25, 2025, 3:08:58 PMCompleted: Dec 25, 2025, 3:09:34 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 21 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: https://api.whatsapp.com/send/?phone=905414160808&text&type=phone_number&app_absent=0

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

The URL points to a legitimate WhatsApp share link with no security concerns.

Safety Factors
Official WhatsApp API endpoint
Long‑standing domain registration
High Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(55%)

Domain Information

The domain 'api.whatsapp.com' uses the commercial generic top-level domain (.com) and includes subdomain 'api'. The registrable portion 'whatsapp' spans 8 characters with two vowels and 6 consonants. Splitting it apart reveals three words: what, s, app. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api.whatsapp.com/send/?phone=905414160808&text&type=phone_number&app_absent=0

Page Load Overview

20.22s
Total Load Time
21
HTTP Requests
3
Domains
302 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:3,141 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network55% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
55%
technology software
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21157.240.30.54Prague, Prague, Czech Republic
AS32934FACEBOOK
211--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE242AF21168DC61490B47E5DA31B324E8BB127FDF9457F0E064D6B0AB8ECB9B50358A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kZlHWV+5nffNLCjxzzzgwPH0Zb1VepkjvAGsf69Shku1i:uRa+5nfkawPHyb1Veejv0o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:217034:4aos4lgeghSIaEgNQoZ4BlgiKuMKRIEBMaCg2USHaINwQcJlBmEIAQIFSgoXpgDBIBQgpCjD20NUkc47AEQoEWmQGoAE8Byy

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data