Security Scan Report: flixnet-videos.vercel.app

Submitted: Jul 3, 2026, 3:52:21 PMCompleted: Jul 3, 2026, 3:53:57 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is flixnet-videos.vercel.app and was registered NaN years ago.

Submitted URL: https://flixnet-videos.vercel.app/

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

No malicious activity detected; the site shows no phishing, malware, or credential‑harvesting elements and is assessed as low risk.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date unknown
Safety Factors
No forms or data collection elements
No malicious JavaScript behavior
No external malicious links
Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Within the application-focused generic top-level domain (.app), 'flixnet-videos.vercel.app' is registered and includes subdomain 'flixnet-videos'. Count 6 characters in 'vercel' containing 2 vowels alongside 4 consonants. Word splitting yields 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://flixnet-videos.vercel.app/

Page Load Overview

8.10s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:771 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
51%
entertainment media
48%
adult content
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A13174B746B1702EF23788FE34E633682244911BC0820F99B658ABF8E2C7CA75023645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz760:TGi9ScnwEY60

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgCCIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQBBEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699999966999989
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce420383820
Color Hash:#d279b2

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data