Security Scan Report: sundarbazarmun.gov.np

Submitted: Oct 12, 2025, 5:58:03 PMCompleted: Oct 12, 2025, 6:01:28 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 6 domains to perform 176 HTTP transactions. The main domain is sundarbazarmun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate municipal website with no detected threats.

Safety Factors
Official government domain (.gov.np)
Contains standard informational content and contact details
No suspicious forms or external links
Domain age information unavailable

Details

Page Title

sundarbazarmun.gov.np

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(88%)

Domain Information

The domain name 'sundarbazarmun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. Count 14 characters in 'sundarbazarmun' holding five vowels versus 9 consonants. Tokenizing the label suggests four words: sun, dar, bazar, mun. Average segment length settles at 3 characters. Most frequently, 'sun' shows up in Romanian. Secondary signals appear in Afrikaans and Portuguese (Brazil).

Screenshot

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

Page Load Overview

12.10s
Total Load Time
176
HTTP Requests
6
Domains
9.4 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:13,001 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

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

All Detected Categories

government public service
88%
government
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153103.69.127.8Nepal
AS131341Department of Information Technology, Government of Nepal
16142.250.185.99United States
AS15169GOOGLE
16142.250.184.202United States
AS15169GOOGLE
16157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
16142.250.185.104United States
AS15169GOOGLE
162a00:1450:4001:811::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
162a00:1450:4001:830::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
162a00:1450:4001:80f::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
162a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2172.217.23.106United States
AS15169GOOGLE
17611--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134E35225D7F3B12201AE60D621259B33CBCE8D35CE26C50ABB7D9A5A0BC5D34A4F3257

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qjPhi1qmf33q2WHvZo/Zn4AWaJYgn77iLlNMn:ULMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156150:okgKAAwEohMd0yEDxYY4gARVA0ZiEFAlAGZZFVFoG7AqAoggPAB6QICNCSEBAjEhBGorCENRDESTmAAICAShKqZBBocfcUCp

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:ffff0010302820a0
Perceptual Hash:cba0bf97c46f120c
Difference Hash:6171f1e1e0494141
Wavelet Hash:ffff39303838a0a0
Color Hash:#d2a679

Scan History

Scan history not available

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