Summary
This website contacted 12 IPs in 3 countries across 5 domains to perform 177 HTTP transactions. The main domain is mangalamun.gov.np.
Submitted URL: https://mangalamun.gov.np/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears to be a legitimate local government website with no detectable security threats.
Safety Factors
Details
Page Title
mangalamun.gov.np
Scan Type
public
Language
NE
Category
government public service
(73%)Domain Information
The domain 'mangalamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np). Its registrable label 'mangalamun' stretches across 10 characters with four vowels and 6 consonants. Tokenizing the label suggests 2 words: mangal, amun. Median word length is 5 characters. Most frequently, 'mangal' shows up in English. You may catch it in Malay and Indonesian as well.
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 |
|---|---|---|---|
| 14 | 142.250.185.78 | United States | AS15169GOOGLE |
| 14 | 216.58.206.67 | United States | AS15169GOOGLE |
| 14 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 14 | 142.250.185.234 | United States | AS15169GOOGLE |
| 14 | 103.69.124.140 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 14 | 2a00:1450:4001:80f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 14 | 142.250.185.174 | United States | AS15169GOOGLE |
| 14 | 2a00:1450:4001:81d::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 14 | 142.250.185.106 | United States | AS15169GOOGLE |
| 14 | 2a00:1450:4001:828::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 177 | 12 | - | - |
Detected Technologies7
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
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