Security Scan Report: www.catchplay.com

Redirected to:
https://edsays.catchplay.com/sg/article-4042-jw46h3rg
Site favicon
Submitted: Completed: publiccompleted
This website contacted 51 IPs in 3 countries across 29 domains to perform 115 HTTP transactions. The main domain is catchplay.com and was registered 20 years ago.

Submitted URL: https://www.catchplay.com/sg/ed-says/article-4042-jw46h3rg

Effective URL:
https://edsays.catchplay.com/sg/article-4042-jw46h3rg
Redirected

The Cisco Umbrella rank of the primary domain is #390,265 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate CATCHPLAY+ editorial article about actor Sebastian Stan. Self-branded, 20-year-old domain, no forms, no threat-intel or malware signals. Safe.

Safety Factors (6)
Established domain 20 years old (registered 2006-09-03)
Domain ranked inside Cisco Umbrella top 1M (#390,265)
Self-branding — meta/title match the domain, no impersonation of another entity
Zero forms, no credential or payment capture
Clean threat intelligence, YARA, and IDS results
Cross-origin requests are standard analytics/CDN (Google, Facebook, DoubleClick, Hotjar)
Domain age information unavailable

Details

Page Title

A Look at the Life and Career of Sebastian Stan - Ed. Says - CATCHPLAY+|HD Streaming‧Watch Movies and TV Series Online

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'www.catchplay.com' is registered and includes subdomain 'www'. The core label 'catchplay' covers 9 characters split between two vowels and seven consonants. Word splitting yields 2 words: catch, play. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.catchplay.com/sg/ed-says/article-4042-jw46h3rg

Page Load Overview

5.79s
Total Load Time
5.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:7,383 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1554.192.35.37Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
254.192.35.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
265.9.130.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2192.0.77.3San Francisco, California, United States
AS2635Automattic, Inc
218.245.46.67Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.66.102.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11551--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T122933B3B08D02A77A3374584ECF3765DA105802FE2E55FA948F8CE39F7879A4056359E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Wjhj5kAIaL2J6z+mdhz+JE8ngetaOU6t3p7zUrzH/A:ZCz+YE7RkXY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92878:D5IKuhoBITHAEQiRTESaAFMVQEBlUsQIQADAig2AhKQVigBYSxgHNlEFJAYYAVBp09AABGgyDB8kFTEwBsYiwqPQIoGgNAGP

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:00e7efe7e7c7dfdf
Perceptual Hash:b3474c337b1c6d18
Difference Hash:2d0c0c4c4c0cbeb6
Wavelet Hash:00c7c7c7c787c3c3
Color Hash:#8c40bf

Scan History

Scan history not available

Unable to load historical scan data