Security Scan Report: knsks.cfd

Redirected to:
https://help.netflix.com/legal/termsofuse
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 6 domains to perform 30 HTTP transactions. The main domain is netflix.com and was registered 29 years ago.

Submitted URL: http://knsks.cfd/

Effective URL:
https://help.netflix.com/legal/termsofuse
Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Site mimics Netflix on an unranked domain and redirects to the official page; likely a phishing/typosquatting attempt.

Risk Factors (3)
Brand impersonation on an unranked, non‑official domain
Typo‑squatting in displayed brand name
Suspicious redirect chain from a random domain to the official site
Domain age information unavailable

Details

Page Title

Netflix Terms of Use | Netflix Help Center

Scan Type

public

Domain Name Analysis

You're looking at domain 'knsks.cfd' on the .cfd top-level domain without a subdomain. The registrable portion 'knsks' spans 5 characters with zero vowels and 5 consonants. Breaking it apart gives three words: k, nsk, s. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

INETELD ocrecrneg ‘Back to Help Home* Ee >: Netflix Termis:of Use Nettix’provides'a féisondlizéd subscription service that allows our members to access entértainiient content (’Nettlix content’) o...

Page Load Overview

3.33s
Total Load Time
686 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:21,165 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
82%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6157.254.223.103United States
AS213186Yanoor Islam Khan
6192.0.78.27San Francisco, California, United States
AS2635Automattic, Inc
645.57.91.1United States
AS40027Netflix Streaming Services Inc.
699.81.174.244United States
AS14618Amazon.com, Inc.
6157.254.223.104United States
AS213186Yanoor Islam Khan
305--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15453A56795501C3790B159E3F0D7AE823181064B1780586AB7FC8E682FCAF2E7B37399

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:k9HnCqoUw14Nu/eehJ4bLeeOmeerUeedAeeAKeeheeqiRS2ozteeVKKNquoNQ:k9HCDLThtUQ/NK1Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63039:iQwVsiQBFPTVCAAxPApIQAGEUIMICSjAqV1BAGggOjBGkEgsAVaghRAIiAAORFgFFIJwLwEYQQIYLkjRAijopREIYngUkIAB

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:00ffdfffdfffffff
Perceptual Hash:bc1647436367653c
Difference Hash:c4203f2f332b2b2b
Wavelet Hash:009f83cf83c383df
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data