Security Scan Report: gosaikundamun.gov.np

Submitted: Nov 20, 2025, 2:18:34 AMCompleted: Nov 20, 2025, 2:21:08 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 4 domains to perform 115 HTTP transactions. The main domain is gosaikundamun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Official .gov.np government domain
No forms or credential collection detected
No malicious Indicators of Compromise found
Domain age information unavailable

Details

Page Title

गोसाईकुण्ड गाउँपालिका | बागमती प्रदेश

Scan Type

public

Language

🇳🇵

NE

(42% confidence)

Category

travel tourism

(66%)

Domain Information

The domain 'gosaikundamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. The core label 'gosaikundamun' covers 13 characters containing six vowels alongside seven consonants. Word splitting yields four words: gos, aik, und, amun. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.22s
Total Load Time
115
HTTP Requests
4
Domains
1.9 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:4,972 chars
Detector Agreement:75%

Website Classification

Primary Category

travel tourism66% confidence
Type: spa
Method: ml+structural

All Detected Categories

travel tourism
66%
government public service
52%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
92103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
16172.217.23.99United States
AS15169GOOGLE
16157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
162a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
162a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
162a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
2142.250.181.234United States
AS15169GOOGLE
1157--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12983652547F3B122019E60D56522AB37C7CE9E3ACF27C609B7AD594A0BC5D3498F324B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IOOdOH96l6x6ZAArssxz128fNZoJYkfS7SRgTRoaHW07h98x657vTMn:Al6x6ZjrsG1281ZoJYkfS7SRgTRoaHWv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83386:hI0lCCFgCQgFuQMhmkEADsqMvxJhwKgBSCQ6GqDEJOEhwiPwaBiChEkWCiAh2B8hGEUIlp49AQl6yhBCwAQwAnIHAQwDMBSU

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:ffff000000007fff
Perceptual Hash:8bdef8419f7140aa
Difference Hash:6171b1544d869300
Wavelet Hash:ffff00000000ffff
Color Hash:#6ce0a8

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data