Summary
This website contacted 17 IPs in 2 countries across 8 domains to perform 105 HTTP transactions. The main domain is canyon-news.com and was registered NaN years ago.
Submitted URL: https://www.canyon-news.com/thanksgiving-day-2025/
AI Security Verdict
Safe Website
Confidence: 85%
Site appears legitimate with no actionable security threats.
Safety Factors
Details
Page Title
Thanksgiving Day 2025! - Canyon News
Scan Type
public
Language
English
Category
other
(60%)Domain Information
Domain 'www.canyon-news.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'canyon-news' covers 11 characters split between 3 vowels and seven consonants, plus 1 hyphen. Splitting it apart reveals two words: canyon, news. Average segment length settles at 5 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 |
|---|---|---|---|
| 88 | 103.72.78.65 | United States | AS55293A2HOSTING |
| 9 | 142.250.185.74 | United States | AS15169GOOGLE |
| 7 | 142.250.185.99 | United States | AS15169GOOGLE |
| 6 | 185.111.111.158 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 2a00:1450:4001:829::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 6 | 2a00:1450:4001:81c::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a00:1450:4001:810::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2400:52e0:1e00:2::1330:1 | Germany | AS60068Datacamp Limited |
| 105 | 17 | - | - |
Detected Technologies8
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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