Summary
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is uni-lab-rosy.vercel.app and was registered NaN years ago.
Submitted URL: https://uni-lab-rosy.vercel.app/explore/pools/ethereum/0x4585FE77225b41b697C938B018E2Ac67Ac5a20c0
AI Security Verdict
High Risk
Confidence: 99%
AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.
Details
Page Title
404: NOT_FOUND
Scan Type
public
Language
English
Category
documentation technical
(77%)Domain Information
Domain 'uni-lab-rosy.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'uni-lab-rosy'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at three 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 |
|---|---|---|---|
| 2 | 64.29.17.67 | United States | AS16509Amazon.com, Inc. |
| 2 | 1 | - | - |
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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