Security Scan Report: visitfalseriver.com

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Submitted: Nov 23, 2025, 9:11:14 AMCompleted: Nov 23, 2025, 9:15:00 AMpubliccompleted
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Summary

This website contacted 35 IPs in 3 countries across 11 domains to perform 392 HTTP transactions. The main domain is visitfalseriver.com and was registered NaN years ago.

Submitted URL: https://visitfalseriver.com/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate tourism site with no security concerns.

Safety Factors
Standard newsletter signup form
No malicious Indicators of Compromise
No credential or payment collection
Domain not flagged for phishing
Domain age information unavailable

Details

Page Title

Visit False River

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(50%)

Domain Information

The domain name 'visitfalseriver.com' uses the commercial generic top-level domain (.com) and has no subdomain. Its registrable label 'visitfalseriver' stretches across 15 characters with 6 vowels and 9 consonants. Splitting it apart reveals 3 words: visit, false, river. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://visitfalseriver.com/

Page Load Overview

110.61s
Total Load Time
392
HTTP Requests
11
Domains
23.0 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:3,267 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning50% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
50%
travel tourism
40%
adult content
31%
government public service
31%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
307192.124.249.164Menifee, California, United States
AS30148SUCURI-SEC
26142.250.184.196United States
AS15169GOOGLE
18216.58.206.67United States
AS15169GOOGLE
1118.66.112.3United States
11104.17.24.14United States
AS13335CLOUDFLARENET
11184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11216.239.34.36United States
AS15169GOOGLE
1123.32.239.51Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11172.64.147.103United States
AS13335CLOUDFLARENET
1123.32.239.67Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
39235--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BE3E772B849153E211F13CEA017E20CA18BFFA6CB71A6E1F1FA4014A7E5EE472D3655

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rZixvob4laMme19NCNdd93vOaY29CscRZ1UyP461AqXmRukr9RjXXh6A6j/XCSdH:0Wb4laMme19NCNdRouw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:143031:CIRIhKEQlEioiQKotDyOQYCLhCURiq0pspGgAA1QXoIQYAgQGEUiOEShSZMIo4mAoEQcEzuSCQQYkAlDICChUBMHUEg5ngMI

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:9bbd383c1c181800
Perceptual Hash:88f5278f32557253
Difference Hash:6733b1b131717329
Wavelet Hash:bfff383c3c381801
Color Hash:#78753a

Scan History

Scan history not available

Unable to load historical scan data