Security Scan Report: bindabasinimun.gov.np

Submitted: Oct 14, 2025, 12:11:57 AMCompleted: Oct 14, 2025, 12:14:53 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 5 domains to perform 167 HTTP transactions. The main domain is bindabasinimun.gov.np.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected security threats.

Safety Factors
Official .gov.np domain indicating government affiliation
No external links or third‑party resources
No suspicious redirects or URL manipulation
Domain age information unavailable

Details

Page Title

बिन्दबासिनी गाउँपालिका | मधेश प्रदेश , नेपाल सरकार

Scan Type

public

Language

🇳🇵

NE

(50% confidence)

Category

government public service

(92%)

Domain Information

Within the Nepalese country-code top-level domain (.gov.np), 'bindabasinimun.gov.np' is registered with no subdomain. The second-level label 'bindabasinimun' is 14 characters long holding 6 vowels versus eight consonants. Segmentation suggests 4 words: binda, basin, i, mun. Expect 4 characters per word on average. 'bind' most often appears in Chinese (Pinyin). It also appears in English and Serbian contexts. Net impression: Chinese (Pinyin) phrase.

Screenshot

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

Page Load Overview

10.36s
Total Load Time
167
HTTP Requests
5
Domains
2.3 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:10,284 chars
Detector Agreement:50%

All Detected Languages

🇳🇵ne(100%)🇮🇳hi(0%)

Website Classification

Primary Category

government public service92% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
92%
education learning
85%
documentation technical
67%
government
48%
finance banking
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
145103.69.124.140Nepal
AS131341Department of Information Technology, Government of Nepal
23157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
18142.250.185.67United States
AS15169GOOGLE
18142.250.186.74United States
AS15169GOOGLE
18146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
182a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
182a00:1450:4001:812::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
182a00:1450:4001:81d::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
2216.58.206.74United States
AS15169GOOGLE
1679--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D6E3612597F3B122008E64D66221DB37CBCE8E35CF63C50ABBAC565A4BC9D7484F2257

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:plynlQHDCeM4tGihc5wHgDrxghd8xWiryb8gaxQ29DO/JCcIxszPnMn:fMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:151744:BaCA4QA6RapiSgVYEkkGw9A6lBpICchFAQgFR5lCdJRQzFEWRYYIAkgECABJQCsUwIWBkUtQBABQgYeBdQgAxZAKoASCLAah

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:ff0000100001ffff
Perceptual Hash:8b4afcb297cc6862
Difference Hash:61d3d3f2ecab3222
Wavelet Hash:ff280038000dffff
Color Hash:#9e6ce0

Scan History

Scan history not available

Unable to load historical scan data