Security Scan Report: bidehamun.gov.np

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Submitted: Oct 5, 2025, 4:43:25 PMCompleted: Oct 5, 2025, 4:43:58 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 4 domains to perform 109 HTTP transactions. The main domain is bidehamun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate municipal website with no evident malicious activity.

Safety Factors
.gov.np TLD indicates official government usage
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Static informational content with official contact details
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

(50% confidence)

Category

government public service

(88%)

Domain Information

The domain 'bidehamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The second-level label 'bidehamun' is 9 characters long containing four vowels alongside five consonants. Splitting it apart reveals three words: bide, h, amun. Average segment length settles at 4 characters. 'h' most strongly signals Breton. Usage also turns up in Vietnamese and English contexts. Taken together, it feels Breton.

Screenshot

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

Page Load Overview

13.80s
Total Load Time
109
HTTP Requests
4
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:50%
Script Type:Unknown
Text Length:5,644 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

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
13142.250.186.131United States
AS15169GOOGLE
12103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
12157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12142.250.181.234United States
AS15169GOOGLE
122a00:1450:4001:82a::200aUnknownUnknown
12142.250.185.195UnknownUnknown
12172.217.18.10UnknownUnknown
122a03:2880:f084:105:face:b00c:0:3UnknownUnknown
122a00:1450:4001:813::2003UnknownUnknown
1099--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD9342268BF3B122009E50D66521DB37C7CE9E35CE17C64ABBAC594A0BC5E3498F3257

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lOOdOuWLcle086w99m3lu0CGn+xAfwG5DKHSzg9lA6X4GjJF6leYD7vTMn:RleDw3k0CbxAfwG5DKHSzg9lA6X4GjJR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90920:RAWQGGEMYwAHBI8LgXwAAIZBqQgSdciwSiQGFZBgmWQimDKdEkBACYEVlKaij4QxBEYYLC0H7rgqMDnCGEYKDoAMPQL5oAAM

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:ffff010101010105
Perceptual Hash:aaf5d0ebed0f3010
Difference Hash:61297d6313555575
Wavelet Hash:ffff9f818101011d
Color Hash:#5375ac

Scan History

Scan history not available

Unable to load historical scan data