Summary
This website contacted 3 IPs in 3 countries across 3 domains to perform 2 HTTP transactions. The main domain is dcckaski.gov.np.
Submitted URL: http://dcckaski.gov.np
Effective URL: https://dcckaski.gov.np/Redirected
AI Security Verdict
Safe Website
Confidence: 75%
The site appears to be a legitimate Nepal government page with no malicious indicators, forms, or brand impersonation.
Safety Factors
Details
Page Title
जिल्ला समन्वय समिति कास्की
Scan Type
public
Language
NE
Category
government
(48%)Domain Information
You're looking at domain 'dcckaski.gov.np' on the Nepalese country-code top-level domain (.gov.np). The registrable portion 'dcckaski' spans 8 characters containing two vowels alongside six consonants. Tokenizing the label suggests four words: dc, ck, a, ski. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 48 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 46 | 103.69.127.119 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 46 | 192.178.183.190 | United States | AS15169Google LLC |
| 140 | 3 | - | - |
Detected Technologies3
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