Security Scan Report: www.ilovethebronx.com

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Submitted: Nov 22, 2025, 3:52:57 PMCompleted: Nov 22, 2025, 3:54:49 PMpubliccompleted
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Summary

This website contacted 67 IPs in 2 countries across 20 domains to perform 108 HTTP transactions. The main domain is ilovethebronx.com and was registered NaN years ago.

Submitted URL: https://www.ilovethebronx.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Long‑standing domain registration (1996)
Official‑sounding page title matching the domain
Only email newsletter signup form (non‑sensitive data)
Domain age information unavailable

Details

Page Title

The Bronx Tourism Council | I Love The Bronx

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

travel tourism

(57%)

Domain Information

You're looking at domain 'www.ilovethebronx.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'ilovethebronx' covers 13 characters holding five vowels versus eight consonants. Tokenizing the label suggests four words: i, love, the, bronx. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ilovethebronx.com/

Page Load Overview

1.29s
Total Load Time
108
HTTP Requests
20
Domains
10.1 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:10,771 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
57%
entertainment media
43%

Detected Features

Search
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37104.18.95.41United States
AS13335CLOUDFLARENET
19104.18.160.117United States
AS13335CLOUDFLARENET
12172.67.71.102United States
AS13335CLOUDFLARENET
823.32.238.210Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8142.250.185.99United States
AS15169GOOGLE
799.84.152.117United States
AS16509AMAZON-02
3104.20.33.75United States
AS13335CLOUDFLARENET
2172.66.147.250United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
1142.250.185.202United States
AS15169GOOGLE
10867--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A04843D02780F2E4D4653CD674C105EA5A0F113E8C34EE4BBBD2F1EAB57DE0666A626

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Mf0a0Nfzw8ChgZOfpdZSrl5Yr5upeN+CvhSIN55JbxYkNLvsLFxctyBeeK+Hg:Mf0aQfIfYq7LLVVoRxcFb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185482:QcJEwKO3QUNVOEKSJCSSigECECSqeHHCFyAiwhgAIOJoYgAUBgE4ulGUcERIIBRAMLasNAOCFKMUEQYlZYeMqlCkIEgIJBUA

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:ffff3218180020f1
Perceptual Hash:cc9ee1719925a64e
Difference Hash:51b86422e18ec6e7
Wavelet Hash:ffff3600384020fb
Color Hash:#c6d279

Scan History

Scan history not available

Unable to load historical scan data