Summary
This website contacted 37 IPs in 3 countries across 32 domains to perform 119 HTTP transactions. The main domain is research.grayscale.com and was registered NaN years ago.
Submitted URL: https://research.grayscale.com/reports/polymarket
The Cisco Umbrella rank of the primary domain is #507,924 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate content with minor redirect concerns; no immediate threat.
Risk Factors
Safety Factors
Details
Page Title
Polymarket: Crypto’s Election-Year Breakout App | Grayscale
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
The domain name 'research.grayscale.com' uses the commercial generic top-level domain (.com), featuring subdomain 'research'. The second-level label 'grayscale' is 9 characters long containing 3 vowels alongside six consonants. Breaking it apart gives one word: grayscale. Average segment length settles at 9 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 |
|---|---|---|---|
| 33 | 216.58.206.40 | United States | AS15169GOOGLE |
| 1 | 34.149.250.58 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 23.36.213.194 | United States | |
| 1 | 23.36.162.14 | Unknown | |
| 1 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 1 | 104.16.160.168 | Unknown | |
| 1 | 104.17.91.187 | Unknown | |
| 1 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 23.36.162.28 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 216.239.34.36 | Unknown | Unknown |
| 69 | 37 | - | - |
Detected Technologies3
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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