Summary
This website contacted 4 IPs in 3 countries across 4 domains to perform 77 HTTP transactions. The main domain is hupsekotmun.gov.np.
Submitted URL: https://hupsekotmun.gov.np/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate government site with low risk
Safety Factors
Details
Page Title
हुप्सेकोट गाउँपालिका, गाउँकार्यपालिकाको कार्यालय | सुन्दर, सुखी र उद्यमी हुप्सेकोट
Scan Type
public
Language
NE
Category
education learning
(95%)Domain Information
Within the Nepalese country-code top-level domain (.gov.np), 'hupsekotmun.gov.np' is registered and has no subdomain. The registrable portion 'hupsekotmun' spans 11 characters containing four vowels alongside seven consonants. It segments into five words: h, up, seko, t, mun. Average segment length settles at two 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 |
|---|---|---|---|
| 51 | 104.21.33.9 | United States | AS13335CLOUDFLARENET |
| 49 | 142.250.184.195 | United States | |
| 49 | 142.251.141.106 | Finland | |
| 49 | 103.69.124.140 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 198 | 4 | - | - |
Detected Technologies8
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
Unable to load historical scan data