Security Scan Report: www.starwarsnewsnet.com

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Submitted: Oct 9, 2025, 10:58:11 AMCompleted: Oct 9, 2025, 10:59:38 AMpubliccompleted
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Summary

This website contacted 152 IPs in 5 countries across 46 domains to perform 195 HTTP transactions. The main domain is starwarsnewsnet.com and was registered NaN years ago.

Submitted URL: https://www.starwarsnewsnet.com/2025/10/frequent-star-wars-director-bryce-dallas-howard-reveals-why-she-keeps-returning-to-the-saga-hypes-up-ahsoka-season-2.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news site with no security concerns.

Safety Factors
Established domain age
Absence of malicious Indicators of Compromise
No collection of sensitive data
Page content aligns with typical news site
Domain age information unavailable

Details

Page Title

Frequent ‘Star Wars’ Director Bryce Dallas Howard Reveals Why She Keeps Returning to the Saga, Hypes up ‘Ahsoka' Season 2 - Star Wars News Net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(65%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.starwarsnewsnet.com' is registered, featuring subdomain 'www'. The second-level label 'starwarsnewsnet' is 15 characters long with 4 vowels and eleven consonants. It segments into 4 words: star, wars, news, net. Median word length comes out to four characters. Most frequently, 'star' shows up in Breton. Secondary signals appear in Afrikaans and Dutch. Overall, 'www.starwarsnewsnet.com' reads as Breton.

Screenshot

Security scan screenshot of https://www.starwarsnewsnet.com/2025/10/frequent-star-wars-director-bryce-dallas-howard-reveals-why-she-keeps-returning-to-the-saga-hypes-up-ahsoka-season-2.html

Page Load Overview

12.63s
Total Load Time
195
HTTP Requests
46
Domains
5.3 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-US
Text Length:14,498 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
65%
entertainment media
62%
news media journalism
54%
real estate property
47%
government public service
46%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44216.58.206.72United States
AS15169GOOGLE
1151.101.64.134San Francisco, California, United States
AS54113FASTLY
1104.20.22.97United States
AS13335CLOUDFLARENET
113.32.99.81New York, New York, United States
AS16509AMAZON-02
1172.66.148.159United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
1146.75.122.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13.160.150.36United States
AS16509AMAZON-02
13.77.7.116Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
13.171.214.73United States
AS16509AMAZON-02
195152--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179B3C7F3840C657E4647AEC4A920A70FB153910DCF575DCAF3B8C79C9386D64EAA324A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lE7cVVswIHxOcWHSakP15O05yRFRanRwuXm+3hUKRQI9VNvnS:lE7IsKnzkP0RanRwuXm+3hUKRQKVlS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114049:gIE0IBAgiogAStIqKaAwHABmRRwQo4wcRiYjuSBhLPwTQQDJk4wW1wATa00YwFpADAiAEgyBggSEaaggQBgQEZSmRZNCaBgA

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:00003c3c3c3c0000
Perceptual Hash:8e9935ccdb20ce93
Difference Hash:713869696961cccd
Wavelet Hash:1d0e3d3d3d3d2701
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data