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Security Scan Report: bagmatimunsarlahi.gov.np

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Submitted: Oct 7, 2025, 11:24:06 PMCompleted: Oct 7, 2025, 11:25:05 PMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 4 domains to perform 154 HTTP transactions. The main domain is bagmatimunsarlahi.gov.np.

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

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

Site appears legitimate but contains suspicious spam text; monitor for possible compromise.

Risk Factors
Potential content injection of spam keywords indicating possible site compromise
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Uses a government TLD (.gov.np) which is typically restricted
Domain age information unavailable

Details

Page Title

बागमती नगरपालिका नगर कार्यपालिकाको कार्यालय | कर्मैया, मधेश प्रदेश , सर्लाही

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

social media network

(74%)

Domain Information

The domain 'bagmatimunsarlahi.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The second-level label 'bagmatimunsarlahi' is 17 characters long containing 7 vowels alongside ten consonants. Tokenizing the label suggests six words: bag, mati, mun, sar, la, hi. Average segment length settles at three characters. Most frequently, 'bang' shows up in Esperanto. It also appears in Catalan and Italian contexts. Taken together, it feels Esperanto.

Screenshot

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

Page Load Overview

33.88s
Total Load Time
154
HTTP Requests
4
Domains
3.3 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:9,532 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

social media network74% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
74%
government public service
55%
government
48%
education learning
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
17142.250.185.74United States
AS15169GOOGLE
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
17142.250.181.227United States
AS15169GOOGLE
17142.250.186.163UnknownUnknown
17142.250.181.234UnknownUnknown
172a03:2880:f084:105:face:b00c:0:3UnknownUnknown
172a00:1450:4001:812::200aUnknownUnknown
172a00:1450:4001:811::2003UnknownUnknown
1549--

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

T13BC3A41487F3B122005E78C66120CA37CBCE9E36CF63C509BBAD569A5BC9D7458E624B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rfZ94v7d9L8doT4avNATyPkAKUMyJlpZoJpkmvKvEgSEZn+L9K0o1kH+nMn:od9ZMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126724:LAEVhQrAomJiIaBe5iFiMohoxQgVgR7L0QCCEANYAHJgmA8RFoMShpjQpAkxUGLR3hMIUDJQAV2CCgoVAEHVxMJwrUxDxHQQ

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:ffff181c98000000
Perceptual Hash:da9aa7e5dd862811
Difference Hash:6339b13131b1c48c
Wavelet Hash:ffff1c1cf8d03000
Color Hash:#b5e06c

Other Hashes

Crop Resistant:6339b13131b1c48c,ecd08088d0cc60f2,8cd1583274e34e38,19b121e0c02cbe2f,561cda5b13b3b300,b9b13131b0e1c42f

Scan History

Scan history not available

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