Summary
This website contacted 10 IPs in 3 countries across 6 domains to perform 197 HTTP transactions. The main domain is badimalikamun.gov.np.
Submitted URL: https://badimalikamun.gov.np/
AI Security Verdict
Safe Website
Confidence: 88%
Legitimate municipal website with no apparent security threats.
Safety Factors
Details
Page Title
बडीमालिका नगरपालिका , नगर कार्यपालिकाको कार्यालय ,सुदुर पश्चिम प्रदेश | "समृद्द नगर : खुसी नगरबासी "
Scan Type
public
Language
NE
Category
government public service
(68%)Domain Information
Domain 'badimalikamun.gov.np' uses the Nepalese country-code top-level domain (.gov.np). The core label 'badimalikamun' covers 13 characters holding six vowels versus seven consonants. Splitting it apart reveals 4 words: bad, i, malik, amun. Median word length is 3.5 characters. Most frequently, 'bad' shows up in English. You will also see it in Chinese (Pinyin) and Bosnian contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 26 | 142.250.185.232 | United States | AS15169GOOGLE |
| 19 | 142.250.185.138 | United States | AS15169GOOGLE |
| 19 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 19 | 103.69.127.8 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 19 | 142.250.74.195 | United States | AS15169GOOGLE |
| 19 | 202.45.146.148 | Nepal | AS45353NITC: IT Agency of Government of Nepal |
| 19 | 2a00:1450:4001:810::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 19 | 2a03:2880:f084:105:face:b00c:0:3 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 19 | 2a00:1450:4001:830::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 19 | 2a00:1450:4001:803::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 197 | 10 | - | - |
Detected Technologies8
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data