Security Scan Report: docvdo.netlify.app

Redirected to:
https://docvdo.netlify.app/
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Submitted: Aug 22, 2026, 2:45:14 AMCompleted: Aug 22, 2026, 2:46:33 AMpubliccompleted

This website contacted 2 IPs in 2 countries across 3 domains to perform 10 HTTP transactions. The main domain is docvdo.netlify.app and was registered 8 years ago.

Submitted URL: http://docvdo.netlify.app/

Effective URL:

https://docvdo.netlify.app/
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site mimics Netflix branding on an unknown‑age Netlify subdomain with heavily obfuscated scripts but no credential collection; treat as moderate risk.

Risk Factors
Brand impersonation without legitimate branding
Unranked / unknown‑age subdomain
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

netflix-clonesecondary capture

Scan Type

public

Domain Name Analysis

The domain name 'docvdo.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'docvdo'. The registrable portion 'netlify' spans 7 characters split between two vowels and five consonants. Breaking it apart gives 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://docvdo.netlify.app/

Page Load Overview

4.71s
Total Load Time
288 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:418 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media99% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
99%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
5142.251.110.94Google · CDNUnited States
AS15169Google LLC
102--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCF0DC83C454C80EC52047606CE5F9088087D868E668ADE035CA143BA8E8F43C8E3BD8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YUwntctALBrAMMJApAoywfAbpli7v8sPBHMH4ALLjCLB3QF9a0tvcKd0x:hRBuctAiMAR5y70dXLjCKTa0tJWP2ddG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:948d1a48fcbd4d88edfd00db1130eeec

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:e0f0f0f0e000007f
Perceptual Hash:e6ee031be11c0fe1
Difference Hash:4dc5c40486268aea
Wavelet Hash:e0f3f7f4f000007f
Color Hash:#64783a

Scan History

Scan history not available

Unable to load historical scan data