Security Scan Report: netflixbymanoj.vercel.app

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://netflixbymanoj.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Netflix-branded clone on a Vercel subdomain with a Google Safe Browsing Social Engineering flag and a single-source phishing report. No verified credential form was detected, but brand impersonation and threat intelligence support HIGH_RISK.

Risk Factors (4)
Google Safe Browsing Social Engineering threat
Single-source phishing threat-intel report on the primary domain
Netflix brand impersonation on a non-official domain
Hosted on a free/shared Vercel subdomain with unknown actual creation date
Domain age information unavailable

Details

Page Title

Netflix

Scan Type

public

Domain Name Analysis

You're looking at domain 'netflixbymanoj.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'netflixbymanoj'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

DISCLAIM! MADE AS A PE A NOT the official site of the company or brand identified on the The creator of this NOT affiliated with the company or brand in any pa P Unlimited movies, TV shows and more...

Other pages on this site

Page Load Overview

1.55s
Total Load Time
966 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,328 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(97%)🇫🇷fr(3%)

Website Classification

Primary Category

entertainment media85% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
85%
education learning
80%
corporate business
78%
technology software
70%
documentation technical
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
345.57.90.1United States
AS40027Netflix Streaming Services Inc.
245.57.91.1United States
AS40027Netflix Streaming Services Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1112.196.177.74Jodhpur, Rajasthan, India
AS45184Den Digital Entertainment Pvt. Ltd. AS ISP india
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1112.196.177.75Jodhpur, Rajasthan, India
AS45184Den Digital Entertainment Pvt. Ltd. AS ISP india
1212--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB22846123F8852A652382C3B7A637B73EA79253E6491304B57D0E701FD6C89D83F8D9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nOB/e2Z990H1uNaqU4yDITYak1zeT/j6hf2K576zkV9m/aatVSbtVutV5tVCtVNo:Ah9k4/Ozg6h2KB6zkV9mCawmRaOVzj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10390:gCoAAAFFQGCECBA1ARqkNsFslEDZkJABFQoAjMHCGAC9EHTBgDBEBAYAKGlCA0gDFAwEFgmWEQZSAgBCCIDAChkgKgJwaHQQ

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:ff00303c00000006
Perceptual Hash:86cfb0b994cecae0
Difference Hash:4c8765616b6bc4c4
Wavelet Hash:ff033dbf39180066
Color Hash:39c00010000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data