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Security Scan Report: bakaiyamun.gov.np

Submitted: Oct 12, 2025, 3:43:25 PMCompleted: Oct 12, 2025, 3:45:14 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 4 domains to perform 160 HTTP transactions. The main domain is bakaiyamun.gov.np.

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

AI Security Verdict

Low Risk

Confidence: 75%

3
Risk Score

Site appears legitimate but circular redirect is a minor security concern.

Risk Factors
Circular redirect detected indicating possible URL manipulation or redirect loop
Safety Factors
Content is in Nepali and matches a local government entity (बकैया गाउँपालिका)
Contact information (phone, email) appears legitimate
Forms are standard search and grievance submission without credential collection
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

bakaiyamun.gov.np

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(81%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'bakaiyamun.gov.np' is registered without a subdomain. The core label 'bakaiyamun' covers 10 characters with five vowels and 5 consonants. Breaking it apart gives three words: ba, kaiya, mun. Median word length comes out to 3 characters. Most frequently, 'ba' shows up in Tagalog. You may catch it in Icelandic and Vietnamese as well. Overall, 'bakaiyamun.gov.np' reads as Tagalog.

Screenshot

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

Page Load Overview

84.55s
Total Load Time
160
HTTP Requests
4
Domains
843 KB
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:10,236 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

government public service81% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
81%
education learning
80%
documentation technical
49%
government
48%
adult content
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2057.144.244.128Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
20216.58.212.131United States
AS15169GOOGLE
20103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
20172.217.23.106United States
AS15169GOOGLE
202a03:2880:f37a:80:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
202a00:1450:4001:813::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
20142.250.186.163United States
AS15169GOOGLE
202a00:1450:4001:82b::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
1608--

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

T129C3621897F3B122009D64C662259B33CBCEDD35CE6BC506BBAC9A9A0BC5D3494E3357

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:DleuMjpDv7kv7chv7bv7pv7KMOksrEUNElDwhAFgDUrfzNygx6clXTw7UtnMn:E+gh3dhVMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:129189:CgUO2pSEyGCgIgJNEABqWAMAcSEA0AxLEQgxULbwQBCcHCAFBnQDQ9QEswoQ3RQMQTDEeYBAVBUKCPwphJGLAOQE3iAAzKgF

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:8796f6f7f7f7f7f7
Perceptual Hash:a61f1f3aaae1c1c1
Difference Hash:2c64042404040404
Wavelet Hash:0282f2f202020202
Color Hash:#87abc5

Other Hashes

Crop Resistant:2c64042404040404

Scan History

Scan history not available

Unable to load historical scan data