Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is meechum.prod.netflix.net and was registered NaN years ago.
Submitted URL: https://cdn-studio.prod.netflixstudios.com
Effective URL: https://meechum.prod.netflix.net/u/login/identifier?state=hqFo2SBmcWV2d2pvaGtXenc2MkR3NXFQNHZXd3FLTFJPRmpBS6Fur3VuaXZlcnNhbC1sb2dpbqN0aWTZIHVYUGFEdHZ2V0VObFg5elZqNV9hYno4V2xsU3R5LXNro2NpZKljZG5zdHVkaW-lb3JnaWS0b3JnX2pFTGRUZ0VzRXpYNFFoS1Gnb3JnbmFtZahwcm9kLW9yZwRedirected
The Cisco Umbrella rank of the primary domain is #218,348 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 80%
The site mimics Netflix login on an unrelated domain, uses dev‑tool blocking and external calls, indicating a high‑risk credential phishing attempt.
Risk Factors
Safety Factors
Details
Page Title
Netflix Authentication
Scan Type
public
Language
English
Category
entertainment media
(92%)Domain Information
You're looking at domain 'cdn-studio.prod.netflixstudios.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'cdn-studio.prod'. The registrable portion 'netflixstudios' spans 14 characters with five vowels and nine consonants. Segmentation suggests 2 words: netflix, studios. Expect 7 characters per word on average. 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 |
|---|---|---|---|
| 4 | 18.64.195.35Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 2 | 3.221.228.214Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 2 | 3.174.51.199Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 8 | 3 | - | - |
Page Statistics
Detected Technologies6
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
Unable to load historical scan data