Summary
This website contacted 11 IPs in 4 countries across 8 domains to perform 351 HTTP transactions. The main domain is rohinimun.gov.np.
Submitted URL: https://rohinimun.gov.np/
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate government website with no detected threats.
Safety Factors
Details
Page Title
रोहिणी गाउँपालिका गाउँ कार्यपालिकाको कार्यालय | धकधई, रुपन्देही लुम्बिनी प्रदेश
Scan Type
public
Language
NE
Category
healthcare medical
(84%)Domain Information
The domain name 'rohinimun.gov.np' uses the Nepalese country-code top-level domain (.gov.np). Count 9 characters in 'rohinimun' split between four vowels and five consonants. Breaking it apart gives 4 words: roh, in, i, mun. The median word length lands at 2.5 characters. Most frequently, 'roth' shows up in English. Usage also turns up 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 |
|---|---|---|---|
| 41 | 216.58.206.67 | United States | AS15169GOOGLE |
| 31 | 146.75.88.157 | Lisbon, Lisbon, Portugal | AS54113FASTLY |
| 31 | 103.69.124.140 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 31 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 31 | 142.250.186.138 | United States | AS15169GOOGLE |
| 31 | 142.250.185.67 | United States | AS15169GOOGLE |
| 31 | 103.69.127.8 | Nepal | AS131341Department of Information Technology, Government of Nepal |
| 31 | 2a00:1450:4001:803::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2a00:1450:4001:80e::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 351 | 11 | - | - |
Detected Technologies7
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
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