Security Scan Report: bhotkholamun.gov.np

Submitted: Jan 22, 2026, 7:14:11 PMCompleted: Jan 22, 2026, 7:20:00 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 101 HTTP transactions. The main domain is bhotkholamun.gov.np.

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk government site with no suspicious activity.

Safety Factors
Government .gov.np domain
Absence of credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

भोटखोला गाउँपालिका, गाउँ कार्यपालिकाको कार्यालय | हटिया, संखुवासभा, कोशी प्रदेश,नेपाल

Scan Type

public

Language

🇳🇵

NE

(42% confidence)

Category

government

(48%)

Domain Information

Domain 'bhotkholamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. The core label 'bhotkholamun' covers 12 characters with 4 vowels and eight consonants. Splitting it apart reveals five words: b, hot, kho, la, mun. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

95.18s
Total Load Time
99
HTTP Requests
2
Domains
13.7 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:6,235 chars
Detector Agreement:75%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
healthcare medical
28%
government public service
27%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
94103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
27172.217.18.3United States
AS15169GOOGLE
24216.58.206.74United States
AS15169GOOGLE
24157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
994--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E683652197F37023009E60D626219B33DBCDDE35CE57C519BAAD5A5E0BC6E35A8E3207

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qOOdOvP0lsV/n+iiEIi6UIiYOj2POTKzbGU49MhOgMunAY:6lsVW7EIi6UIiYOjbTKzbGU49MhOgMut

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86609:IAlpAgipJYK2J4hbUWVRIINlhMJAFME4jMmACiYAA4GAAo1ECRBTcEZGnBqTF8YQgLYkggIAUUASMkRAUksFbU4ApQDaogEG

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:ffff010000000000
Perceptual Hash:8aea9fd37d0a3007
Difference Hash:7171e7633b997132
Wavelet Hash:fffffffb00000002
Color Hash:#932f1f

Scan History

Scan history not available

Unable to load historical scan data