Security Scan Report: watch.plex.tv

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Submitted: Oct 8, 2025, 12:27:38 PMCompleted: Oct 8, 2025, 12:28:22 PMpubliccompleted
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Summary

This website contacted 21 IPs in 2 countries across 10 domains to perform 103 HTTP transactions. The main domain is watch.plex.tv and was registered NaN years ago.

Submitted URL: https://watch.plex.tv/person/carole-bouquet

The Cisco Umbrella rank of the primary domain is #8,855 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (over 16 years old)
Top 10k Cisco Umbrella ranking
No malicious Indicators of Compromise matches found
No credential or payment forms present
Domain age information unavailable

Details

Page Title

Carole Bouquet Movies and TV Shows - Plex

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'watch.plex.tv' uses the .tv country-code top-level domain with subdomain 'watch'. The second-level label 'plex' is 4 characters long with one vowel and three consonants. Tokenizing the label suggests one word: plex. The linguistic tilt is Catalan for 'ple'. You will also see it in Indonesian and German contexts.

Screenshot

Security scan screenshot of https://watch.plex.tv/person/carole-bouquet

Page Load Overview

7.63s
Total Load Time
103
HTTP Requests
10
Domains
444 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:6,726 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: profile

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2334.254.54.72Dublin, Leinster, Ireland
AS16509AMAZON-02
4104.18.36.51United States
AS13335CLOUDFLARENET
4172.64.151.205United States
AS13335CLOUDFLARENET
4151.101.2.217San Francisco, California, United States
AS54113FASTLY
4142.250.185.163United States
AS15169GOOGLE
434.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
434.254.245.199Dublin, Leinster, Ireland
AS16509AMAZON-02
466.102.1.84United States
AS15169GOOGLE
43.248.163.211Dublin, Leinster, Ireland
AS16509AMAZON-02
454.76.243.238Dublin, Leinster, Ireland
AS16509AMAZON-02
10321--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13B54209A4740C47E1A7711D3DD362A7B61B69038DE023F8D90A853E43AD7D7622BEC8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ijbveReWeheReXeNeQelexeaedekeNe/exeVeReYeseAefeHeheDeXePeZeleHeL:45OEsgXToLZV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:284059:AJIeCZCAbafqAehA1FhCCTlQQIxibQMFCoAEQoAVAggBORqhtAoAnOhFSDMpghAhgDKRoEclcQkkeRMyARluFQFAgKiwhwJS

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:81c0c181e161ffff
Perceptual Hash:e07c8f031f0ec1fc
Difference Hash:0f9d153ddddfdb21
Wavelet Hash:01c1c181c1e1ffff
Color Hash:#9e6ce0

Scan History

Scan history not available

Unable to load historical scan data