Security Scan Report: ramaroshanmun.gov.np

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Submitted: Jan 3, 2026, 1:44:21 AMCompleted: Jan 3, 2026, 1:45:51 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 133 HTTP transactions. The main domain is ramaroshanmun.gov.np.

Submitted URL: https://ramaroshanmun.gov.np/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate municipal website with no evident threats

Safety Factors
Official government TLD (.gov.np)
No credential or payment collection forms
No suspicious OCR content indicating phishing lure
Domain age information unavailable

Details

Page Title

रामारोशन गाउँपालिका गाउँकार्यपालिकाकाे कार्यालय सुदूरपश्चिम प्रदेश,नेपाल | कृषि,पर्यटन प्रवर्द्धन तथा माैलिक संस्कृति हाम्राे पहिचान ! आर्थिक,सामाजिक तथा समृद्ध विकास रामाराेशन गाउँपालिकाकाे अभियान !

Scan Type

public

Language

🇳🇵

NE

(42% confidence)

Category

documentation technical

(95%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'ramaroshanmun.gov.np' is registered and has no subdomain. The registrable portion 'ramaroshanmun' spans 13 characters split between 5 vowels and eight consonants. Splitting it apart reveals three words: rama, ros, hanmun. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

21.65s
Total Load Time
141
HTTP Requests
5
Domains
13.1 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:42%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:42%
Script Type:Unknown
Text Length:9,164 chars
Detector Agreement:75%

Website Classification

Primary Category

documentation technical95% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
95%
government public service
93%
government
48%
technology software
33%
adult content
26%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
29172.217.23.99United States
AS15169GOOGLE
28146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
28157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
28142.250.186.138United States
AS15169GOOGLE
28103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
1415--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D2C3412597F3B122009E60D526269E37CBCE8D35CF27C50ABBAD694A0BC5E3494F2357

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RlyUpowVbD8cxNBAm6Lx/G39yuHaT0+BnCDNK0klAXsnMn:WMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122137:kYjw8SDAEBBAKAhhEigWOFc5Agxo0IFUyIKuJUSAgQGUGWuHSuAAMIAFiUInAvJknEbgwiJCLQAQ4eEBijEggUAAyIAwLGCs

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:ffff010f01000000
Perceptual Hash:b38cd7b7c9106658
Difference Hash:713dbddb5f4f1948
Wavelet Hash:ffff0f0f078300a0
Color Hash:#878dc5

Scan History

Scan history not available

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