Security Scan Report: thakurbabamun.gov.np

Submitted: Dec 20, 2025, 5:02:19 AMCompleted: Dec 20, 2025, 5:03:07 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 149 HTTP transactions. The main domain is thakurbabamun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators and appears to be a legitimate government website.

Safety Factors
Official government domain suffix (.gov.np)
Absence of suspicious forms or redirects to unrelated sites
Domain age information unavailable

Details

Page Title

ठाकुरबाबा नगरपालिका, नगर कार्यपालिकाकाे कार्यालय | सैनवार, बर्दिया, लुम्बिनी प्रदेश, नेपाल <br> "समुन्‍नत ठाकुरबाबा : सबल नगरवासी"

Scan Type

public

Language

🇳🇵

NE

(63% confidence)

Category

healthcare medical

(56%)

Domain Information

The domain name 'thakurbabamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) and has no subdomain. The registrable portion 'thakurbabamun' spans 13 characters split between 5 vowels and eight consonants. Tokenizing the label suggests three words: thakur, baba, mun. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

15.84s
Total Load Time
149
HTTP Requests
5
Domains
11.9 MB
Total Size

Language Analysis

Primary Language

🇳🇵NE
Code: ne
Confidence:63%
Script:Unknown
Direction:ltr

Detection Details

Language Code:ne
Detection Confidence:63%
Script Type:Unknown
Text Length:14,315 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
56%
government
48%
government public service
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33172.67.209.162United States
AS13335CLOUDFLARENET
29157.240.202.1Saint-Denis, Île-de-France, France
AS32934FACEBOOK
29142.250.186.131United States
AS15169GOOGLE
29172.217.18.10United States
AS15169GOOGLE
29103.69.127.8Nepal
AS131341Department of Information Technology, Government of Nepal
1495--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190F3FC26A7F3B121009E20E52216CA37CBCE8D35CF67C25E7B6C5A4907C5E75A5F224B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NOOdOlslzYd4M18kCbdNQDOBpNipk3LaJMSBJd/:Nlzdj7BODOBLipk3Laem

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:167025:JcaCAi3gCmCCANr5iAPihWQQMJQAo4tLwnIZoMdghEsiBoVEgoQBwgAwtIjJiwBwUgbANFJAEEsMhZRK4BXApCG07QEH1ALL

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:ffff00000fffffff
Perceptual Hash:bb3bc4c431336e46
Difference Hash:9864191b3920f8e0
Wavelet Hash:5ebf0000001f7fff
Color Hash:#2db7d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data