Security Scan Report: didtheylikeit.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 23 IPs in 2 countries across 12 domains to perform 67 HTTP transactions. The main domain is didtheylikeit.com and was registered 8 years ago.

Submitted URL: https://didtheylikeit.com/shows/john-proctor-is-the-villain/sadie-sink-shines-in-a-feminist-spin-on-the-crucible/

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Established 8-year-old theatre review site publishing an article; self-branded, no credential or payment forms, only a legitimate Mailchimp newsletter signup, and no threat-intel or malware evidence.

Safety Factors (5)
Well-established domain (over 8 years old)
Self-branding consistent with domain (no impersonation of a different entity)
No credential or payment forms — only a newsletter email signup via Mailchimp
Cross-origin requests limited to ranked analytics/CDN hosts (Google Analytics, DoubleClick, Typekit, AdTrafficQuality)
No Indicators of Compromise, no YARA malware, no IDS alerts
Domain age information unavailable

Details

Page Title

Sadie Sink shines in a feminist spin on ‘The Crucible’ - Did They Like It?

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'didtheylikeit.com' is registered with no subdomain. Count 13 characters in 'didtheylikeit' split between 5 vowels and eight consonants. Segmentation suggests 4 words: did, they, like, it. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://didtheylikeit.com/shows/john-proctor-is-the-villain/sadie-sink-shines-in-a-feminist-spin-on-the-crucible/

Page Load Overview

4.48s
Total Load Time
5.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,581 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media77% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
77%
adult content
36%
corporate
35%
social media network
27%
blog personal website
26%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23141.193.213.10Cloudflare · CDNUnited States
AS209242Cloudflare London, LLC
2184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2192.178.183.157Google · CDNUnited States
AS15169Google LLC
2142.251.14.97Google · CDNUnited States
AS15169Google LLC
2142.251.14.139Google · CDNUnited States
AS15169Google LLC
2192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
2184.24.77.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2142.251.127.154Google · CDNUnited States
AS15169Google LLC
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
6723--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2232973644D1E37529A82D0B216BA4EE18AA426DF93C4E6F5FD811C53C0EC32FB3665

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EDSl/BESWpidal+6+Xhlmd6IVrCznHXlJ+b0vLBAsx/5:KuuSNU+6++d6IVrenHXlRAsx/5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49163:IapChJywYDmCAIEojggAhEBDIu2KOJYgYCIgFMLAooJFUBCpGjYFjAAOkSAeA8YoQpAxDqiZYEJWRQg7YYEyhChAUVwRSCmB

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:6c6c2c3c3e002434
Perceptual Hash:c3c1303c94ce6f37
Difference Hash:99c9e9e96c61696d
Wavelet Hash:5e6c6c7c3e003d35
Color Hash:#86492d

Scan History

Scan history not available

Unable to load historical scan data