Summary
This website contacted 21 IPs in 2 countries across 6 domains to perform 73 HTTP transactions. The main domain is snl.no and was registered NaN years ago.
Submitted URL: https://snl.no/Bangladesh
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate encyclopedia page with no security concerns.
Safety Factors
Details
Page Title
Bangladesh – les om historie, språk, politikk – Store norske leksikon
Scan Type
public
Language
Norwegian
Category
news/blog
(50%)Domain Information
Domain 'snl.no' uses the Norwegian country-code top-level domain (.no). Its registrable label 'snl' stretches across 3 characters split between 0 vowels and 3 consonants. It segments into 1 word: snl. 'snl' most strongly signals Portuguese (Brazil). Secondary signals appear in Chinese (Simplified) and Dutch.
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 |
|---|---|---|---|
| 13 | 34.102.242.9 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 34.36.52.100 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 18.157.122.248 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 3 | 142.250.184.200 | United States | AS15169GOOGLE |
| 3 | 18.195.235.189 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 3 | 34.120.43.127 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 18.173.205.120 | United States | AS16509AMAZON-02 |
| 3 | 2600:9000:2724:6000:c:7d55:b3c0:93a1 | United States | AS16509AMAZON-02 |
| 3 | 2600:9000:2724:8a00:c:7d55:b3c0:93a1 | United States | AS16509AMAZON-02 |
| 3 | 2600:9000:2724:0:c:7d55:b3c0:93a1 | United States | AS16509AMAZON-02 |
| 73 | 21 | - | - |
Detected Technologies4
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
Scan history not available
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