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Security Scan Report: www.islands.com

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Submitted: Oct 22, 2025, 4:25:48 AMCompleted: Oct 22, 2025, 4:27:56 AMpubliccompleted
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Summary

This website contacted 181 IPs in 7 countries across 52 domains to perform 695 HTTP transactions. The main domain is islands.com.

Submitted URL: https://www.islands.com/1997421/lindustrie-heres-find-new-york-citys-best-bobby-flays-favorite-pizza-slice-2025/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Site shows a circular redirect but lacks other malicious signs; proceed cautiously.

Risk Factors
Circular redirect indicates possible URL manipulation or redirect abuse
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Content appears to be standard editorial material
Domain age information unavailable

Details

Page Title

Here's Where To Find New York City's Best (And Bobby Flay's Favorite) Pizza Slice In 2025

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(58%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.islands.com' is registered, featuring subdomain 'www'. The registrable portion 'islands' spans 7 characters split between 2 vowels and 5 consonants. Tokenizing the label suggests 1 word: islands. Most frequently, 'islands' shows up in English. Secondary signals appear in Sinhala and Chinese (Pinyin). Net impression: English phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://www.islands.com/1997421/lindustrie-heres-find-new-york-citys-best-bobby-flays-favorite-pizza-slice-2025/

Page Load Overview

46.97s
Total Load Time
695
HTTP Requests
52
Domains
3.6 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:23,785 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
55%
news/blog
50%
social media network
39%
adult content
36%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15518.244.18.122United States
AS16509AMAZON-02
352.212.29.202Dublin, Leinster, Ireland
AS16509AMAZON-02
399.84.152.10United States
AS16509AMAZON-02
379.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
399.84.152.114United States
AS16509AMAZON-02
335.186.253.211United States
AS396982GOOGLE-CLOUD-PLATFORM
354.192.35.95United States
AS16509AMAZON-02
354.171.163.142Dublin, Leinster, Ireland
AS16509AMAZON-02
337.252.171.21Frankfurt am Main, Hesse, Germany
AS29990ASN-APPNEX
318.66.147.120United States
AS16509AMAZON-02
695181--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D244C51E55502378EA746FAF452B34CF122D003C7950AF8FAEC63F85FE9C9A242359A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cRNZa6GhvtqZS1rfFdyQDkIpt+TDOdLnGVzmZQhSdtrLpfCj8KhyassgF:cRNZa6GhvtqZS1rfFdyUPp8Uh7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:214625:iIIMwQdAIYQBPxnqGiBFsEAoaEHBASAGXgSACn2KCiEiIvEKLIiACzYoMBgX4QgDGCUIfQSEBEDFPYIBiEKMAyY6VhRAhOSZ

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:00803e7e7e868044
Perceptual Hash:92ce393ec3334ec1
Difference Hash:393e6ce8e43c1f9a
Wavelet Hash:8181bfff7e0600c7
Color Hash:#5391ac

Other Hashes

Crop Resistant:393e6ce8e43c1f9a,e767272f0f0fcacd,0b7b7b7771fbdf4f,128585a7a4a5e7f3

Scan History

Scan history not available

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