Security Scan Report: mangalamun.gov.np

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Submitted: Oct 12, 2025, 2:41:05 PMCompleted: Oct 12, 2025, 2:42:29 PMpubliccompleted
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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%

0
Risk Score

The site appears to be a legitimate local government website with no detectable security threats.

Safety Factors
Official government domain (.gov.np)
Contains legitimate contact details and email addresses
Only standard search and informational forms present
Domain age information unavailable

Details

Page Title

mangalamun.gov.np

Scan Type

public

Language

🇳🇵

NE

(100% confidence)

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

Security scan screenshot of https://mangalamun.gov.np/

Page Load Overview

57.86s
Total Load Time
177
HTTP Requests
5
Domains
2.2 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:100%
Script Type:Unknown
Text Length:16,760 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service73% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
73%
education learning
60%
government
48%
adult content
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.250.185.78United States
AS15169GOOGLE
14216.58.206.67United States
AS15169GOOGLE
14157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
14142.250.185.234United States
AS15169GOOGLE
14103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
142a00:1450:4001:80f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
14142.250.185.174United States
AS15169GOOGLE
142a00:1450:4001:81d::200eFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
14142.250.185.106United States
AS15169GOOGLE
142a00:1450:4001:828::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
17712--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A144125D7F3B122019E60D661268A33CBCE9D35CF27C50ABBAC5A4A4BC9D3494F2357

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:7lfOM/pz2IEpbYD3TI4BjDJ90qxqMzWlvE9oxgrw3S+py8Rqo5/3E/QgnMn:BMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:199901:ohQA9EAoYDgHiYuGBIJRQIBH1gQCJgL8VjAgSTYEDEARIiE6QFWxLgOgNQnxAYIABYEjKQEEoESpAOgAEIBwDAAeTQEUg1CA

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

Average Hash:ffff00080000ffff
Perceptual Hash:8b8aec71bd8e0663
Difference Hash:61d1e9795b110900
Wavelet Hash:ffff20000000fdff
Color Hash:#d2a679

Scan History

Scan history not available

Unable to load historical scan data