Summary
This website contacted 3 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is english.almaaref.org and was registered NaN years ago.
Submitted URL: https://english.almaaref.org/post/132/What-is-Islam
AI Security Verdict
Safe Website
Confidence: 94%
The site shows no malicious activity, has an old reputable domain, and contains no phishing or malware indicators.
Safety Factors
Details
Page Title
::Al-Maaref:: Islamic Organization | What is Islam?
Scan Type
public
Language
English
Category
education learning
(54%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'english.almaaref.org' is registered and includes subdomain 'english'. Count 8 characters in 'almaaref' containing 4 vowels alongside four consonants. Breaking it apart gives three words: alma, are, f. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 13 | 142.251.14.95 | United States | AS15169Google LLC |
| 12 | 142.251.13.97 | United States | AS15169Google LLC |
| 12 | 207.182.130.18 | United States | AS10297eNET Inc. |
| 37 | 3 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data