Security Scan Report: www.google.com

Redirected to:
https://help.netflix.com/en?g=7eb08b39-23d8-4a28-8ba7-56899f0b6b7b&lki...
Submitted: Apr 10, 2026, 7:49:23 AMCompleted: Apr 10, 2026, 7:49:45 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 4 domains to perform 31 HTTP transactions. The main domain is help.netflix.com and was registered NaN years ago.

Submitted URL: https://www.google.com/url?q=https://help.netflix.com/help?g%3D7eb08b39-23d8-4a28-8ba7-56899f0b6b7b%26lkid%3DURL_HELP_QUESTIONS%26lnktrk%3DEVO

Effective URL: https://help.netflix.com/en?g=7eb08b39-23d8-4a28-8ba7-56899f0b6b7b&lkid=URL_HELP_QUESTIONS&lnktrk=EVORedirected

The Cisco Umbrella rank of the primary domain is #1 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

The page is a legitimate Netflix Help Center page with no phishing or malware indicators.

Safety Factors
Official brand domain (help.netflix.com)
Top‑ranked domain with long registration history
No credential or payment collection elements
No malicious JavaScript or IDS alerts
No suspicious redirects beyond a standard Google URL shortener
Domain age information unavailable

Details

Page Title

Netflix Help Center

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(74%)

Domain Information

The domain name 'www.google.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'google' covers 6 characters with 3 vowels and three consonants. Breaking it apart gives 1 word: google. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.google.com/url?q=https://help.netflix.com/help?g%3D7eb08b39-23d8-4a28-8ba7-56899f0b6b7b%26lkid%3DURL_HELP_QUESTIONS%26lnktrk%3DEVO

Page Load Overview

1.32s
Total Load Time
31
HTTP Requests
4
Domains
629 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:8,377 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
74%
technology software
65%
documentation technical
53%
social media network
42%
adult content
37%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.18.32.137United States
AS13335Cloudflare, Inc.
454.194.82.94Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
445.57.90.1United States
AS40027Netflix Streaming Services Inc.
499.81.174.244Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
445.57.91.1United States
AS40027Netflix Streaming Services Inc.
4104.18.32.25United States
AS13335Cloudflare, Inc.
479.125.89.59Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
317--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A214409B79A4631EEAD78758EA627AD57411988FFE3708ECF14C53784F8C7E24C1420A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:H9QQqYnpWziceZrO3Bdjj8H1xz9JAdXQGDZjPqMtlgONpMoN6ptFClC8+/dyM:H9QQXoPN36ptFCKdX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:205165:EQQcBg8VGoSESgBQBD3AgCBACANAJBLCQEFoi6ACHEwHC4gOmjAACAqqAZgIRBDlEQQJUFgQMKoKqF8eInQIHJcEhBj6EAFB

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:800282c7e7ffffff
Perceptual Hash:f37bc8c86262caca
Difference Hash:29160e0e0c000808
Wavelet Hash:000000c3e7ffffe7
Color Hash:#84862d

Other Hashes

Crop Resistant:29160e0e0c000808

Scan History

Scan history not available

Unable to load historical scan data