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Security Scan Report: saluran-wa-islami.pages.dev

Redirected to:
https://www.whatsapp.com/channel/0029VbDHBp51NCrbHpmGsU1W
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Submitted: Jun 22, 2026, 10:47:40 PMCompleted: Jun 22, 2026, 10:48:50 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is whatsapp.com and was registered NaN years ago.

Submitted URL: https://saluran-wa-islami.pages.dev/

Effective URL: https://www.whatsapp.com/channel/0029VbDHBp51NCrbHpmGsU1WRedirected

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Page impersonates WhatsApp brand on an unknown subdomain without collecting data; moderate risk.

Risk Factors
Brand impersonation (WhatsApp) on mismatched domain
Unknown subdomain age on pages.dev
Highly obfuscated JavaScript
Safety Factors
No forms collecting credentials or payments
No IoC or YARA malware matches
Final URL redirects to official WhatsApp domain
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

MOTIVASI ISLAMI 🕋 - WhatsApp channel

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(65%)

Domain Information

Domain 'saluran-wa-islami.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'saluran-wa-islami'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields one word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://saluran-wa-islami.pages.dev/

Page Load Overview

2.10s
Total Load Time
33
HTTP Requests
5
Domains
1.3 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:3,498 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network65% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
65%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.66.44.241United States
AS13335Cloudflare, Inc.
16157.240.0.60Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
332--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E04FAB3D168E422050BABE590B0B314E47B737FEE982AF4E058DEF8E799C757202455

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LVTUgbtEWE3Z20Y6fiI5zixwASAPCf2xyrBYQt3SnUnPVGzjz2Tzwzfozj7zIzye:IpfjVnagRnmjZO0G/Frxd/9sQOq1U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187236:XCUC7OAkwCEAAIFTLoiksgBIIodCAABTYEIppYAiAABCipHBq4faiECgiYrKABLBWEMAnAdYipMLBJLAaYBnUhACpVwYW2UI

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:ffffefffffff0000
Perceptual Hash:f3f748dc4cd45052
Difference Hash:94080c0e0e080dd1
Wavelet Hash:fee6e6e6e6c30000
Color Hash:#2d3c86

Other Hashes

Crop Resistant:94080c0e0e080dd1,19582578bbfb730b,01010103a9d9d729

Scan History

Scan history not available

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