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Security Scan Report: bungalmun.gov.np

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Submitted: Oct 7, 2025, 1:47:48 AMCompleted: Oct 7, 2025, 1:48:28 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 4 domains to perform 117 HTTP transactions. The main domain is bungalmun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Official government domain (.gov.np)
Absence of suspicious forms or data collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

बुङ्गल नगरपालिका | नगरकार्यपालिकाको कार्यालयखिरातडी, बझाङ्गसुदुरपश्चिम प्रदेश, नेपाल

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

healthcare medical

(99%)

Domain Information

The domain 'bungalmun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) with no subdomain. The second-level label 'bungalmun' is 9 characters long with 3 vowels and 6 consonants. Splitting it apart reveals 3 words: bung, al, mun. Median word length comes out to 3 characters. Most frequently, 'bug' shows up in Spanish. Secondary signals appear in Italian and Esperanto. Overall, 'bungalmun.gov.np' reads as Spanish.

Screenshot

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

Page Load Overview

15.90s
Total Load Time
117
HTTP Requests
4
Domains
4.0 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:4,447 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

healthcare medical99% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
99%
government public service
83%
government
48%
adult content
36%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21142.250.185.234United States
AS15169GOOGLE
16142.250.186.67United States
AS15169GOOGLE
1657.144.248.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
16103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
162a00:1450:4001:811::200aUnknownUnknown
162a03:2880:f37c:80:face:b00c:0:3UnknownUnknown
162a00:1450:4001:829::2003UnknownUnknown
1177--

Detected Technologies6

X-UA-Compatible
100%
MetaGenerator
100%
Drupalv7
100%
PHP
50%
HSTS
40%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10F8353259BF3B122019E60C561119B33C7CEDE36CE27CA09FBAC595A0BC5E3598F3256

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SOOdOCIFlbF5mTyH11pOFWfKCMX6D+jcIpV/eNDGUkn071i7vTMn:3lbFMTyV1pOFWfKCMX6D+jc2V/eNDGUR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85259:pimBQAApEASDpknIQCEQVAXGRCBB3KKhEUxwYQtAkBAltJEKEHYSiAQAAQegKckkBF4iH1oAIUcQEggCwigABg2XMIFAAaII

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:ffff00000000ffff
Perceptual Hash:ea8a9f6db7c248a0
Difference Hash:6131a5c547939100
Wavelet Hash:ffff00000000ffff
Color Hash:#4d2d86

Other Hashes

Crop Resistant:6131a5c547939100,819180d0c0c1e1c1,b1a1edd483479292

Scan History

Scan history not available

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