Security Scan Report: netflixcustomersupport.com

Redirected to:
https://www.netflix.com/de-en/
Site favicon
Submitted: Sep 27, 2026, 11:13:20 PMCompleted: Sep 27, 2026, 11:16:29 PMpubliccompleted

This website contacted 24 IPs in 4 countries across 15 domains to perform 77 HTTP transactions. The main domain is netflix.com and was registered 18 years ago.

Submitted URL: http://netflixcustomersupport.com

Effective URL:

https://www.netflix.com/de-en/
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Vanity/redirect domain forwards to the genuine netflix.com landing page. Authentic Netflix content, email-only signup, no credential or payment capture, no threat-intel hits. Legitimate.

Safety Factors (5)
Redirect terminates on the official brand domain www.netflix.com (ranked #2280 in Cisco Umbrella top 1M)
Content is authentic Netflix marketing/landing copy with real pricing, FAQs, and content catalogue
No password or payment fields — only an email signup field for membership
All third-party script hosts and JS network targets are known/ranked legitimate services
No threat-intelligence, YARA, kit-roster or IDS findings
Domain age information unavailable

Details

Page Title

Netflix Germany - Watch TV Shows Online, Watch Movies Online

Scan Type

public

Domain Name Analysis

The domain name 'netflixcustomersupport.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'netflixcustomersupport' spans 22 characters with seven vowels and 15 consonants. Breaking it apart gives three words: netflix, customer, support. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://netflixcustomersupport.com

Page Load Overview

27.43s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,802 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media86% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
86%
technology software
28%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8207.45.72.1United States
AS40027Netflix Streaming Services Inc.
318.236.7.30Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
345.57.91.1United States
AS40027Netflix Streaming Services Inc.
345.57.90.1United States
AS40027Netflix Streaming Services Inc.
352.213.117.187Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
3104.18.32.137Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
323.246.26.149Netflix · CDNStockholm, Stockholm County, Sweden
AS2906Netflix Streaming Services Inc.
3142.251.156.119Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
3104.18.32.25Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7724--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T148F4F7937894463EC2C38ADCA8D5AE087635581FEE7C65D8F7CCC56817EEB96310138A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:CbwbVk/w3/Rgr3GcSVLcBSeBSGlAYVHwX4:5Vk/w3/9cSVKS4S7YVHwI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:770949:gECAoBAZqQaIYg3iDCkMgKEUQFDgcwGbUBPXIHqhoQmGMkYWRuAACZGAk7ACGI3TAOFANICQQAC4CAMlMlALAEUOSBBSzECL

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:ffff001800000000
Perceptual Hash:8895b5f14a6a6b6a
Difference Hash:8eee27f1b1b991d1
Wavelet Hash:ffff873d59090100
Color Hash:#d279a6

Scan History

Scan history not available

Unable to load historical scan data