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Security Scan Report: bidehamun.gov.np

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Submitted: Nov 17, 2025, 6:12:15 AMCompleted: Nov 17, 2025, 6:12:55 AMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 4 domains to perform 110 HTTP transactions. The main domain is bidehamun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Government TLD (.gov.np) suggests official affiliation
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

विदेह नगरपालिका | मधेश प्रदेश ,धनुषा नेपाल सरकार “ कृषि,शिक्षा,स्वास्थ्य,पर्यटन,र व्यापारको अभिभारा आत्मनिर्भर र सुन्दर विदेहको मुल नारा ”

Scan Type

public

Language

🇳🇵

NE

(35% confidence)

Category

government public service

(88%)

Domain Information

Domain 'bidehamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. The second-level label 'bidehamun' is 9 characters long holding four vowels versus 5 consonants. Breaking it apart gives three words: bide, h, amun. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

21.47s
Total Load Time
110
HTTP Requests
4
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:35%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:35%
Script Type:Unknown
Text Length:5,636 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service88% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
88%
healthcare medical
66%
government
48%
education learning
33%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12142.250.186.99United States
AS15169GOOGLE
7142.250.181.227United States
AS15169GOOGLE
7157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
7142.250.185.99United States
AS15169GOOGLE
7142.250.185.131United States
AS15169GOOGLE
7216.58.212.131United States
AS15169GOOGLE
7103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
7216.58.206.74United States
AS15169GOOGLE
7142.250.184.227United States
AS15169GOOGLE
7142.250.186.131United States
AS15169GOOGLE
11015--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1379343268BF3B122005E50D66521DB37CBCE9E35CE17C64ABBAC594A0BC5E3498F3257

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lOOdOzWLJleycw92W3lO0Cun+xAfwG5DKHSzg9lA6X4GjJF6leVD7vTMn:xleEp3s0CDxAfwG5DKHSzg9lA6X4GjJu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90998:BgOSEYjCUJgIFGGkAI7ARIUBRFoMy4BECJCSDkAjCbSA4CqIQQl4xBAqAAxHhSRiaS2VSAOoVn1WJCFQBSEjAQjCyAEcgQoM

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:ffff83808080c098
Perceptual Hash:fea380e3df643d00
Difference Hash:61393f3b31081470
Wavelet Hash:ffffbf808080d098
Color Hash:#3a5c78

Other Hashes

Crop Resistant:61393f3b31081470,98b09252e2e4444c,24342d2aaaacccce,e5e4e070f9f9f039,67672f272766a5e9,7f3f332139041470

Scan History

Scan history not available

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