Security Scan Report: www.eweek.com

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Submitted: Oct 8, 2025, 2:59:29 PMCompleted: Oct 8, 2025, 3:01:38 PMpubliccompleted
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Summary

This website contacted 249 IPs in 5 countries across 67 domains to perform 284 HTTP transactions. The main domain is eweek.com and was registered NaN years ago.

Submitted URL: https://www.eweek.com/news/news-sora-update-copyright/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page appears legitimate with no security concerns.

Safety Factors
Long‑standing reputable domain
No credential or payment collection
Content aligns with known tech news outlet
Domain age information unavailable

Details

Page Title

OpenAI Is Going To Let Copyright Holders Opt Out of Sora 2

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(89%)

Domain Information

You're looking at domain 'www.eweek.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The core label 'eweek' covers 5 characters with three vowels and 2 consonants. Segmentation suggests two words: e, week. Average segment length settles at 2.5 characters. The linguistic tilt is Italian for 'e'. Usage also turns up in Albanian and Portuguese contexts.

Screenshot

Security scan screenshot of https://www.eweek.com/news/news-sora-update-copyright/

Page Load Overview

63.38s
Total Load Time
284
HTTP Requests
67
Domains
1.8 MB
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:9,016 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software89% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
89%
documentation technical
42%
news/blog
35%
corporate
35%
social media network
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.77.7.116Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
134.250.61.88Dublin, Leinster, Ireland
AS16509AMAZON-02
113.248.160.219United States
AS16509AMAZON-02
135.153.24.50Ashburn, Virginia, United States
AS14618AMAZON-AES
118.66.112.45United States
AS20940Akamai International B.V.
135.158.142.41Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
123.59.88.238Seattle, Washington, United States
AS20940Akamai International B.V.
1192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
13.160.150.117United States
AS16509AMAZON-02
175.2.108.141United States
AS16509AMAZON-02
284249--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10B54B47392F3052A156F76A1E660F3489997F30FC5E29FC075BC92611B8AE9C7037988

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QUMjqynQv25BfHbIG3pK5ilmX0q8v18XqlWmHQAYGLm/gplHjv:Mqc5BzI6pNu6nlWmHQhGL4QNv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:299572:AA2CNTa7XjXAAaqJCOBEFUZBDRo2FBOwyVhgMDAMBMg3ARVAgMoBNAMQTEATAsEQMSAortRMSRBeAH0MdvxogCGUAwDIy4oM

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:99c3e7df8b8b9bd9
Perceptual Hash:bc66411c4f9ec33c
Difference Hash:220e0f2a3b3333b3
Wavelet Hash:00c3bf87838b9bd9
Color Hash:#78663a

Scan History

Scan history not available

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