Summary
This website contacted 86 IPs in 2 countries across 23 domains to perform 128 HTTP transactions. The main domain is stage.mytalk1071.com and was registered NaN years ago.
Submitted URL: https://stage.mytalk1071.com/lea-michele-reflects-on-going-from-broadway-to-glee/
The Cisco Umbrella rank of the primary domain is #659,014 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate site with no apparent security concerns.
Safety Factors
Details
Page Title
Lea Michele reflects on going from Broadway to Glee – myTalk 107.1
Scan Type
public
Language
English
Category
entertainment media
(47%)Domain Information
Domain 'stage.mytalk1071.com' uses the commercial generic top-level domain (.com) with subdomain 'stage'. The second-level label 'mytalk1071' is 10 characters long with 1 vowel and five consonants, notching four digits. Word splitting yields 3 words: my, talk, 1071. The median word length lands at four 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 |
|---|---|---|---|
| 64 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 7 | 142.250.186.99 | United States | AS15169GOOGLE |
| 6 | 142.250.185.168 | United States | AS15169GOOGLE |
| 6 | 52.223.40.198 | United States | AS16509AMAZON-02 |
| 6 | 216.58.206.78 | United States | AS15169GOOGLE |
| 4 | 216.58.206.35 | United States | AS15169GOOGLE |
| 4 | 142.250.186.36 | United States | AS15169GOOGLE |
| 4 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 34.197.167.38 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 128 | 86 | - | - |
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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