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Security Scan Report: www.fruitnet.com

Redirected to: https://www.fruitnet.com/asiafruit/afl-peru-meet-up-attracts-leading-names-to-lima/269301.article

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Submitted: Oct 15, 2025, 8:46:56 AMCompleted: Oct 15, 2025, 8:50:16 AMpubliccompleted
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Summary

This website contacted 59 IPs in 2 countries across 15 domains to perform 78 HTTP transactions. The main domain is fruitnet.com and was registered NaN years ago.

Submitted URL: https://www.fruitnet.com/afl-peru-meet-up-attracts-leading-names-to-lima/269301.article

Effective URL: https://www.fruitnet.com/asiafruit/afl-peru-meet-up-attracts-leading-names-to-lima/269301.articleRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with decades of operation
Content is typical news article without suspicious elements
Domain age information unavailable

Details

Page Title

AFL Peru Meet Up attracts leading names to Lima | Article | Fruitnet

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(50%)

Domain Information

You're looking at domain 'www.fruitnet.com' on the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'fruitnet' stretches across 8 characters holding three vowels versus five consonants. It segments into two words: fruit, net. Average segment length settles at four characters. 'ruit' most strongly signals Afrikaans. You may catch it in Dutch and Catalan as well. Net impression: Afrikaans phrase.

Screenshot

Security scan screenshot of https://www.fruitnet.com/afl-peru-meet-up-attracts-leading-names-to-lima/269301.article

Page Load Overview

3.28s
Total Load Time
78
HTTP Requests
15
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:7,298 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business50% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
50%

Detected Features

Search
OG: Article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20142.250.186.136United States
AS15169GOOGLE
1535.71.136.153United States
AS16509AMAZON-02
13142.250.185.162United States
AS15169GOOGLE
13104.18.32.137United States
AS13335CLOUDFLARENET
1099.84.149.84United States
AS16509AMAZON-02
6216.239.32.36United States
AS15169GOOGLE
5142.250.185.200United States
AS15169GOOGLE
4142.250.184.194United States
AS15169GOOGLE
3216.58.206.33United States
AS15169GOOGLE
3184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7859--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18134A5AB3AA4572EE6D38748ABA179887515AC5FFD3308DCF24E53348FC97E24C14609

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9/5/nA0EavmJVdfgz1n18nsr0vMz9JArj1OCDkNpFsJcc/arntIFh9u9aFhtod+p:9/5/nAKzmVIFsJcg7CYX7JXIM7Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:233357:KDwHMIUIyDyFi1wcwogGOoQDeglBXJBCFlYaAAUsEmOMpAgZpQwjTRhGcAgCtkFcATKJgQAxiFBQDiAKCZB5Qhm5sYQRBfQI

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:870081ffd7fff8eb
Perceptual Hash:fc24689ab0cba97c
Difference Hash:2f252b2c24233102
Wavelet Hash:810081ff87fff8c1
Color Hash:#e06cac

Other Hashes

Crop Resistant:2f252b2c24233102,42504ed292584540

Scan History

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