Security Scan Report: babaimun.gov.np

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Submitted: Oct 9, 2025, 9:53:24 PMCompleted: Oct 9, 2025, 9:55:03 PMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 6 domains to perform 151 HTTP transactions. The main domain is babaimun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate local government website with no apparent security threats

Safety Factors
Government domain (.gov.np) typically reserved for official entities
Absence of malicious Indicators of Compromise
Only standard informational and service forms without sensitive data
Domain age information unavailable

Details

Page Title

बबई गाउँपालिका गाउँकार्यपालिकाकाे कार्यालय <br> लुम्बिनी प्रदेश हापुरे, दाङ | "हाम्रो उत्पादन हाम्रो वजार समृद्धिको आधार, सन्तुलित कर अनुशासित जनता आत्मनिर्भर स्थानीय सरकार"

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government

(95%)

Domain Information

The domain name 'babaimun.gov.np' uses the Nepalese country-code top-level domain (.gov.np) while skipping any subdomain. The second-level label 'babaimun' is 8 characters long with four vowels and 4 consonants. Tokenizing the label suggests 2 words: babai, mun. Median word length is 4 characters. The linguistic tilt is Albanian for 'babai'. Usage also turns up in Malay and Icelandic contexts. Net impression: Albanian phrase.

Screenshot

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

Page Load Overview

70.87s
Total Load Time
151
HTTP Requests
6
Domains
2.9 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:10,539 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

government95% confidence
Type: spa
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21142.250.186.170United States
AS15169GOOGLE
10142.250.185.163United States
AS15169GOOGLE
10103.69.127.8Nepal
AS131341Department of Information Technology, Government of Nepal
10157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
10172.67.209.162United States
AS13335CLOUDFLARENET
10202.45.146.148Nepal
AS45353NITC: IT Agency of Government of Nepal
102a00:1450:4001:831::200aUnknownUnknown
102606:4700:3037::ac43:d1a2UnknownUnknown
10142.250.185.195UnknownUnknown
102606:4700:3033::6815:4599UnknownUnknown
15114--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T123D3512597F3B122009E60D661219B37DBCE9E35CE23C50AFBAD5A5A0BC5D34A4F2317

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zlx57K2QDcWGr2IO0nX3Imj/nSwAqefy5SE7+h7sZAdgHYT1eo5GsxHXAn0FNMn:qMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:133697:ABckhAL9GZ0YQImANaohKQ5VwCglUIKmDNQkCIpKQSaCqVUCQSBwS2AQi2I7AIhuwAwAAKAGfACuygkNuhEIMZAQAG9VQ2Z+

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:ffffffef61000000
Perceptual Hash:a3bfdc4bb3d12c00
Difference Hash:7169cdc9cfe3c0a7
Wavelet Hash:ffffff6761000000
Color Hash:#1f2d93

Scan History

Scan history not available

Unable to load historical scan data