Security Scan Report: wa.me

Redirected to:
https://api.whatsapp.com/send/?phone=6285218821259&text=Assalamu%27ala...
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 4 domains to perform 26 HTTP transactions. The main domain is wa.me and was registered 17 years ago.

Submitted URL: https://wa.me/6285218821259?text=Assalamu%27alaikum%20%0A%0ASaya%20%28Tulis%20Nama%20Anda%29%20%23%20Mau%20E-book%20GRATIS%20%2A%22Bangun%20...akah%20bisa%20dibantu%20dapatkan%20E-book%20Gratis-Nya%3F%2A

Effective URL:
https://api.whatsapp.com/send/?phone=6285218821259&text=Assalamu%27ala...
Redirected

The Cisco Umbrella rank of the primary domain is #33,354 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Genuine WhatsApp click-to-chat share page on api.whatsapp.com after a wa.me redirect. No forms, no credential collection, no malware or threat-intel hits; the spammy e-book text is user-supplied message content.

Safety Factors (4)
Redirect terminates on the brand owner's own ranked domain (api.whatsapp.com), which rules out brand impersonation
No forms, credential fields, payment fields, or cross-origin credential exfiltration
No Indicators of Compromise, hunting rule, Safe Browsing, or network IDS findings
Only WhatsApp-owned third-party script hosts (static.whatsapp.net, pps.whatsapp.net)
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Domain Name Analysis

The domain name 'wa.me' uses the Montenegrin country-code top-level domain (.me) while skipping any subdomain. Its registrable label 'wa' stretches across 2 characters holding 1 vowel versus one consonant. It segments into one word: wa. No strong language cues emerged from the frequency lists.

Screenshot

Features ¥ Privacy Blog Apps «HelpCenter @ For Business. (‘eain >) Kang Ari Assalamu'alaikum Saya (Tulis Nama Anda) # Mau E-book GRATIS *"Bangun ...akah bisa dibantu dapatkan E-book Gratis-Nya?* Co...

Page Load Overview

1.78s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,603 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing78% confidence
Type: spa
Method: ml+structural

All Detected Categories

download file sharing
78%
social media network
73%
technology software
63%
government public service
59%
education learning
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26157.240.0.60Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
261--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1025409B29278D971081F23EAD531F328E497936FDF9867F0D1A98A70A786C787903447

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Uh3gbz4N3620bUMTu6c6vZZMmVZVdyJeLj034dZjPWkwm4++Pc5nUnx87tjejiLL:2qfIf0jPWpeGpkjvhUquOFSBW59X9auZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:281247:QB1LlOGhpAiBjBgQNq8NASAISSgAEBLqIC6hIBDHjDIQUQRQAIjQEeISCxAQRQABCmA6oBgAApAiCg3HQ0mBQjAbIG5cExrI

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:e3f648dcc31cc89c
Difference Hash:8c080c4c0804c9d1
Wavelet Hash:fee7efe7e7000000
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data