Security Scan Report: alecon-site.pages.dev

Redirected to:
https://api.whatsapp.com/send/?phone=5541992901633&text=Ol%C3%A1%21+Go...
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Submitted: Jun 28, 2026, 6:02:20 PMCompleted: Jun 28, 2026, 6:03:28 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is api.whatsapp.com and was registered NaN years ago.

Submitted URL: https://alecon-site.pages.dev/api/whatsapp

Effective URL: https://api.whatsapp.com/send/?phone=5541992901633&text=Ol%C3%A1%21+Gostaria+de+falar+com+um+consultor+da+Alecon.&type=phone_number&app_absent=0Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Page appears to be a WhatsApp share link hosted on a generic subdomain; no credential collection or malware detected.

Risk Factors
Unknown subdomain age on a hosting platform
Brand name in meta tags mismatched with domain
High JavaScript obfuscation score
Safety Factors
No forms collecting credentials or payment data
Redirects to legitimate WhatsApp API domain
No malicious network activity or external IoC matches
Domain age information unavailable

Details

Page Title

Share on WhatsApp

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(74%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'alecon-site.pages.dev' is registered; it also runs on subdomain 'alecon-site'. Count 5 characters in 'pages' with two vowels and three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://alecon-site.pages.dev/api/whatsapp

Page Load Overview

1.76s
Total Load Time
29
HTTP Requests
4
Domains
1.2 MB
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:1,828 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network74% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
74%
technology software
72%
download file sharing
70%
documentation technical
60%
corporate business
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
14188.114.96.3United States
AS13335Cloudflare, Inc.
292--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0142A729278D971041B27E5C631B315E4AB537FCF9867F0D0A99F70A786CB83A0358A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZffitiYfit9gbtEFJ7j20sqvqG5zwAPCfBYzcixSA2x5L5dw7tjeErzmY0Cz46jc:0mx3f6C5jPWpuFpkjvKBmaFTu9voM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:194565:ARhoIVRAIQ5JBURjbKA0iAkBRKKGhxDOKYDqAMBcQAqIgBI0JISJoABIpAAXwIkrFL9AQYLOQgIx2ACpCkCMMwgIw9hAeRAh

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:e3f448dcd072f2d0
Difference Hash:8c0c0c0c00c9d1d9
Wavelet Hash:f6e7e7e7ff000000
Color Hash:#3a7078

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data