Security Scan Report: netflix-github-com.vercel.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 3 domains to perform 26 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://netflix-github-com.vercel.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Page shows informational content about Netflix open source, lacks forms or malicious indicators, and is low risk.

Safety Factors (3)
Physical address visible in page content
Content appears to be informational about open source projects
Hosted on reputable platform (Vercel) with no malicious signals
Domain age information unavailable

Details

Page Title

Netflix Open Source Software Center

Scan Type

public

Domain Name Analysis

You're looking at domain 'netflix-github-com.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'netflix-github-com'. The second-level label 'vercel' is 6 characters long split between 2 vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://netflix-github-com.vercel.app/

Page Load Overview

1.79s
Total Load Time
396 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:11,748 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software43% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.251.20.95Google · CDNUnited States
AS15169Google LLC
6216.198.79.3United States
AS16509Amazon.com, Inc.
664.29.17.3United States
AS16509Amazon.com, Inc.
645.57.90.1United States
AS40027Netflix Streaming Services Inc.
264--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T124C2D837A2E1213B070391C276B1A7ADEFA6844BD6064B5571FC0684AFC3E56C67B38D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:OxAmrDQtNx1yN5lmAwP0IYmUhbS3LiGKdnxLKls81qqpCYppeTHauIn:SJDQf+l97HmUhWVW2qqUaYauIn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26216:SgdQys0ZYgqASDIaiOyAkCE4TMQKACTA2WaMMwUBQYJAEsgBxDsiQZgkCSYEE3AcFIYXEELDCJQBxJWZA0i0ABlkNBShIQJD

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

Average Hash:00040400ffffdf20
Perceptual Hash:921243ed4f3c93ec
Difference Hash:cd8d8d0df31f2fc9
Wavelet Hash:000c0404ffffff3c
Color Hash:#55bf40

Scan History

Scan history not available

Unable to load historical scan data