Security Scan Report: flixwatch.co

Submitted: Oct 8, 2025, 12:48:06 PMCompleted: Oct 8, 2025, 12:48:28 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is flixwatch.co.

Submitted URL: https://flixwatch.co/person/carole-bouquet-10500

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No forms collecting sensitive data
No external links or scripts flagged as malicious
Domain age unknown but no suspicious activity observed
Domain age information unavailable

Details

Page Title

Vercel Security Checkpoint

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

documentation technical

(52%)

Domain Information

Domain 'flixwatch.co' uses the Colombian country-code top-level domain (.co). The second-level label 'flixwatch' is 9 characters long containing two vowels alongside 7 consonants. Breaking it apart gives three words: f, lix, watch. Expect 3 characters per word on average. 'f' is most common in Vietnamese usage. You may catch it in Portuguese (Brazil) and Portuguese as well. Taken together, it feels Vietnamese.

Screenshot

Security scan screenshot of https://flixwatch.co/person/carole-bouquet-10500

Page Load Overview

0.64s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:en
Text Length:285 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical52% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
52%
technology software
43%
news media journalism
35%
cryptocurrency blockchain
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
376.76.21.21Walnut, California, United States
AS16509AMAZON-02
31--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145E2F680D70CFC617242498E20FF1C295214F9A2750ADAA9FF91DEF6FAA98C05417F5E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ctGS7WZTzapwp54zRyN2C9y97Jd545xDc2Rl9Q5A9rLvV1dHAPY:ctGzZTzYwp54kN2C9y/d545xg2R0Atvv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:32816:ABMWiZGgKhUClbCELwCAaizFC2L+RwoASMAiyGcAgAAMYhCgBPJVIK0gBF1dy1UyTIECWkpHoAAmLAIhQVUIBDJhCB4CAJQo

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:ffffffe7e7ffffe3
Perceptual Hash:e6994c9966934cd9
Difference Hash:0000000c08000004
Wavelet Hash:3c3c3c242c3c3c00
Color Hash:#78663a

Other Hashes

Crop Resistant:0000000c08000004

Scan History

Scan history not available

Unable to load historical scan data