Summary
This website contacted 20 IPs in 2 countries across 6 domains to perform 27 HTTP transactions. The main domain is opendatacommons.org and was registered NaN years ago.
Submitted URL: https://opendatacommons.org/licenses/odbl/1-0/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Open Data Commons Open Database License (ODbL) v1.0 — Open Data Commons: legal tools for open data
Scan Type
public
Language
English
Category
government public service
(72%)Domain Information
Domain 'opendatacommons.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. The core label 'opendatacommons' covers 15 characters with 6 vowels and 9 consonants. Segmentation suggests three words: open, data, commons. Average segment length settles at four characters. 'open' is most common in English usage. You may catch it in Chinese (Pinyin) and Catalan as well.
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 |
|---|---|---|---|
| 8 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 104.21.73.34 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.184.158 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.157.113 | United States | AS13335CLOUDFLARENET |
| 1 | 104.26.8.111 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 104.21.72.124 | United States | AS13335CLOUDFLARENET |
| 1 | 172.67.69.41 | United States | AS13335CLOUDFLARENET |
| 1 | 104.26.9.111 | United States | AS13335CLOUDFLARENET |
| 1 | 185.111.111.155 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 27 | 20 | - | - |
Detected Technologies7
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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