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Security Scan Report: bangalachulimun.gov.np

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Submitted: Oct 12, 2025, 4:37:48 PMCompleted: Oct 12, 2025, 4:39:21 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 5 domains to perform 209 HTTP transactions. The main domain is bangalachulimun.gov.np.

Submitted URL: http://bangalachulimun.gov.np/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site shows minor risk due to circular redirect but otherwise appears legitimate.

Risk Factors
Circular redirect detected (potential URL manipulation)
Unranked domain (low reputation)
Safety Factors
Uses a .gov.np TLD indicating government affiliation
No credential or payment collection forms
No malicious Indicators of Compromise detected
Content appears to be standard municipal information
Domain age information unavailable

Details

Page Title

bangalachulimun.gov.np

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(87%)

Domain Information

The domain 'bangalachulimun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) without a subdomain. The core label 'bangalachulimun' covers 15 characters with six vowels and 9 consonants. It segments into 4 words: banga, lach, uli, mun. Average segment length settles at 3.5 characters. Most frequently, 'bang' shows up in German. Secondary signals appear in Malay and Dutch. Taken together, it feels German.

Screenshot

Security scan screenshot of http://bangalachulimun.gov.np/

Page Load Overview

73.46s
Total Load Time
209
HTTP Requests
5
Domains
1.6 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:12,204 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

government public service87% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
87%
government
48%
documentation technical
44%
adult content
44%
education learning
36%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27103.69.127.8Nepal
AS131341Department of Information Technology, Government of Nepal
26103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
26142.250.185.106United States
AS15169GOOGLE
26157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
26142.250.181.227United States
AS15169GOOGLE
262a00:1450:4001:810::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
262a00:1450:4001:82b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
262a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2098--

Detected Technologies5

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

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128E3711897F3B122019DB4C665119E33CBCE9E31CF23C649FABC9A465BC9D3494E225B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jZd+pA7ICcSg7bPvkl40Vqqwqyku3we4hJBQxvMhIU1EFmg8z6Iv9wZbUGCzWN3Y:jhuMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:146280:4ThEDAjE0zxVDLorkJSgATxJTwDGAQCIJ4HLANCiAzIk1RHBAOA2wGyQR4iAkIiYAMQQIWQBAFBxGFhQieYxiBj8RSAoAQBo

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:ff9f00000000ffff
Perceptual Hash:aa0bdd94e7892c63
Difference Hash:6179950d0d353b2b
Wavelet Hash:ffff00000000ffff
Color Hash:#783a4c

Other Hashes

Crop Resistant:6179950d0d353b2b,020792aeaca6ce4e,cd150d0d0d0d3530

Scan History

Scan history not available

Unable to load historical scan data