Security Scan Report: flixnet-videos.vercel.app

Submitted: Jul 17, 2026, 7:51:58 PMCompleted: Jul 17, 2026, 7:53:29 PMpubliccompleted

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 6 years ago.

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

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(58%)

Domain Information

Domain 'flixnet-videos.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'flixnet-videos'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Segmentation suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of flixnet-videos.vercel.app

Page Load Overview

0.31s
Total Load Time
2
HTTP Requests
1
Domains
2 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:92 chars
Detector Agreement:50%

Website Classification

Primary Category

cryptocurrency blockchain58% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
58%
government public service
57%
news media journalism
54%
real estate property
53%
healthcare medical
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131United States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
2.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1143154B745B1702EF23B88FE34D637646244911BC0920F59B658FBB8E2C7CA65123785

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz79U0:TGi9ScnwEY9U0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAF

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:e6998c9966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:f0f0fce4e0f0f0e0
Color Hash:#5374ac

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data