Summary
This website contacted 66 IPs in 4 countries across 15 domains to perform 130 HTTP transactions. The main domain is doc.gov.np.
Submitted URL: https://www.doc.gov.np/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no apparent security risks.
Safety Factors
Details
Page Title
Department of Commerce, Supplies and Consumer Protection, Babarmahal
Scan Type
public
Language
English
Category
government public service
(89%)Domain Information
You're looking at domain 'www.doc.gov.np' on the Nepalese country-code top-level domain (.gov.np), featuring subdomain 'www'. Count 3 characters in 'doc' with one vowel and 2 consonants. Segmentation suggests one word: doc. The median word length lands at three characters. 'doc' most strongly signals German. Secondary signals appear in English and Norwegian.
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 |
|---|---|---|---|
| 53 | 103.69.124.99 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 24 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 17 | 142.250.185.227 | United States | AS15169GOOGLE |
| 8 | 142.250.185.106 | United States | AS15169GOOGLE |
| 8 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 6 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 103.69.124.8 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 104.26.4.65 | United States | AS13335CLOUDFLARENET |
| 1 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 130 | 66 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects 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
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