Summary
This website contacted 34 IPs in 5 countries across 14 domains to perform 151 HTTP transactions. The main domain is tourismdepartment.gov.np.
Submitted URL: https://www.tourismdepartment.gov.np/
AI Security Verdict
High Risk
Confidence: 80%
Potential phishing site impersonating a tourism department; high risk.
Risk Factors
Details
Page Title
Department of Tourism
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'www.tourismdepartment.gov.np' uses the Nepalese country-code top-level domain (.gov.np) with subdomain 'www'. The second-level label 'tourismdepartment' is 17 characters long holding 6 vowels versus 11 consonants. Segmentation suggests two words: tourism, department. Expect 8.5 characters per word on average. 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 |
|---|---|---|---|
| 4 | 103.69.124.99 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 4 | 103.69.124.8 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 4 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 157.240.205.11 | Helsinki, Uusimaa, Finland | AS32934FACEBOOK |
| 4 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 4 | 216.58.209.168 | United States | AS15169GOOGLE |
| 4 | 216.58.209.195 | United States | AS15169GOOGLE |
| 4 | 13.107.246.53 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 151 | 34 | - | - |
Detected Technologies5
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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