Summary
This website contacted 10 IPs in 4 countries across 6 domains to perform 214 HTTP transactions. The main domain is baijanathmun.gov.np.
Submitted URL: http://baijanathmun.gov.np/
AI Security Verdict
Low Risk
Confidence: 85%
Minor risks due to redirect loop and unknown domain age; otherwise appears legitimate.
Risk Factors
Safety Factors
Details
Page Title
baijanathmun.gov.np
Scan Type
public
Language
NE
Category
government public service
(96%)Domain Information
Within the Nepalese country-code top-level domain (.gov.np), 'baijanathmun.gov.np' is registered with no subdomain. The core label 'baijanathmun' covers 12 characters with 5 vowels and 7 consonants. Breaking it apart gives 4 words: bai, jana, th, mun. Average segment length settles at three characters. 'bai' most strongly signals Basque. Usage also turns up in Vietnamese and English contexts.
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 |
|---|---|---|---|
| 21 | 103.69.124.140 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 21 | 142.250.185.67 | United States | AS15169GOOGLE |
| 21 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 21 | 142.250.185.234 | United States | AS15169GOOGLE |
| 21 | 37.187.129.45 | France | AS16276OVH SAS |
| 21 | 142.250.185.163 | United States | AS15169GOOGLE |
| 21 | 2a00:1450:4001:813::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 21 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 21 | 2a00:1450:4001:811::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 21 | 142.250.74.202 | United States | AS15169GOOGLE |
| 214 | 10 | - | - |
Detected Technologies6
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