Summary
This website contacted 86 IPs in 3 countries across 14 domains to perform 223 HTTP transactions. The main domain is mohap.gov.ae.
Submitted URL: https://mohap.gov.ae/en/home
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Primary Scan Blocked — Fallback Capture Shown
The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.
Page Title
Home | Ministry of Health and Prevention - UAE
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the Emirati country-code top-level domain (.gov.ae), 'mohap.gov.ae' is registered and has no subdomain. The core label 'mohap' covers 5 characters holding 2 vowels versus three consonants. Word splitting yields 2 words: mo, hap. Expect 2.5 characters per word on average. 'mo' most strongly signals Tagalog. You will also see it in Albanian and Galician contexts. Taken together, it feels Tagalog.
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 |
|---|---|---|---|
| 117 | 185.54.16.190 | Dubai, Dubai, United Arab Emirates | AS202024Telecommunications And Digital Government Regulatory Authority |
| 53 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 20 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 15 | 142.250.184.227 | United States | AS15169GOOGLE |
| 9 | 142.250.186.163 | United States | AS15169GOOGLE |
| 6 | 142.250.186.131 | United States | AS15169GOOGLE |
| 6 | 142.250.186.36 | United States | AS15169GOOGLE |
| 6 | 13.107.213.45 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 79.127.216.204 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 4 | 52.41.171.41 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 223 | 86 | - | - |
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
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