Summary
This website contacted 5 IPs in 3 countries across 5 domains to perform 62 HTTP transactions. The main domain is dccbaitadi.gov.np.
Submitted URL: https://dccbaitadi.gov.np/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate government site with no detected threats.
Safety Factors
Details
Page Title
जिल्ला समन्वय समिति बैतडी
Scan Type
public
Language
NE
Category
government public service
(71%)Domain Information
You're looking at domain 'dccbaitadi.gov.np' on the Nepalese country-code top-level domain (.gov.np). The registrable portion 'dccbaitadi' spans 10 characters containing 4 vowels alongside six consonants. Word splitting yields four words: dc, cba, it, adi. Expect 2.5 characters per word on average. 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 |
|---|---|---|---|
| 21 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 21 | 142.250.184.227 | United States | AS15169GOOGLE |
| 21 | 103.69.127.119 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 21 | 216.58.206.46 | Unknown | Unknown |
| 21 | 142.251.141.106 | United States | AS15169GOOGLE |
| 105 | 5 | - | - |
Detected Technologies2
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
Scan History
Scan history not available
Unable to load historical scan data