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Security Scan Report: myislam.org

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Submitted: Sep 24, 2026, 3:50:35 AMCompleted: Sep 24, 2026, 3:52:28 AMpubliccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/fb8fca42-1aa1-4e37-acd2-f823b055919bDomain and IP registration (RDAP)/api/v1/rdap/fb8fca42-1aa1-4e37-acd2-f823b055919bCertificate Transparency/api/v1/ct/myislam.orgHow often this domain was scanned/api/v1/domain/stats/myislam.orgScan history for this domain/api/v1/domain/history/myislam.org?limit=15

This website contacted 27 IPs in 4 countries across 20 domains to perform 129 HTTP transactions. The main domain is myislam.org and was registered 18 years ago.

Submitted URL: https://myislam.org

The Cisco Umbrella rank of the primary domain is #812,752 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Established self-branded Islamic resource site with a legitimate Sendfox newsletter form; no threat intel, malware, or phishing indicators.

Safety Factors (6)
Established domain (>7 years old)
Self-branding matches the domain
No Indicators of Compromise
No JavaScript malware or IDS alerts
Legitimate newsletter form via Sendfox, not credential phishing
Cloudflare protection and reputable third-party resources
Domain age information unavailable

Details

Page Title

My Islam - A Place Where Muslim's Go To Grow

Scan Type

public

Domain Name Analysis

You're looking at domain 'myislam.org' on the non-profit oriented generic top-level domain (.org). Count 7 characters in 'myislam' holding two vowels versus five consonants. It segments into 2 words: my, islam. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://myislam.org

Page Load Overview

3.56s
Total Load Time
7.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:12,589 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning59% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
59%
corporate
25%
forum
20%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25104.26.2.179Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4138.68.34.161United States
AS14061DigitalOcean, LLC
4142.251.127.94Google · CDNUnited States
AS15169Google LLC
4172.64.145.29Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4172.67.71.183Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4192.178.183.94Google · CDNUnited States
AS15169Google LLC
4104.26.3.179Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
4172.66.0.96Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12927--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F23D62A133B34F6BA079B8939DEB3389A9D9123253101B2F874D4588FD6277017B75D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:V9payelJ5ddLu4O1zKYG1XAuOmfLtPxMa8bZga+q/HPNlYXCwRZdapzmlWw//:V9payelJ5ddLu4O1zKYG1XAuOmfLtPxR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48652:LMBCgoakGCFABHpqHCk+ADBLCyAy5k3ABABApOAZowi9HCdoIgCGMRWCI0AZwVJQDmqQ1MaEQUWCJAwNQTFAgQDUUAhSaBBg

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:cfc3c3ffffffffe7
Perceptual Hash:b03830cfc6cec6ce
Difference Hash:109e16100000000c
Wavelet Hash:ffc3cfff00003c00
Color Hash:#1f6793

Other Hashes

Crop Resistant:109e16100000000c

Scan History

Scan history not available

Unable to load historical scan data