Security Scan Report: navysports.evenue.net

Site favicon
Submitted: Dec 12, 2025, 2:28:57 PMCompleted: Dec 12, 2025, 2:29:36 PMpubliccompleted
Loading additional data...

Summary

This website contacted 25 IPs in 2 countries across 9 domains to perform 25 HTTP transactions. The main domain is navysports.evenue.net and was registered NaN years ago.

Submitted URL: https://navysports.evenue.net/list/F

The Cisco Umbrella rank of the primary domain is #48,412 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain with long registration history
No malicious Indicators of Compromise matches
No credential or payment collection forms
Cisco Umbrella ranking within top 100k (not low‑ranking for brand impersonation)
Access denied response suggests no phishing or malware activity
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

Access to this page has been denied.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(33%)

Domain Information

The domain 'navysports.evenue.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'navysports'. The second-level label 'evenue' is 6 characters long containing four vowels alongside two consonants. Splitting it apart reveals 2 words: e, venue. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://navysports.evenue.net/list/F

Page Load Overview

5.36s
Total Load Time
25
HTTP Requests
9
Domains
923 KB
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:165 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical33% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
33%
documentation technical
28%
news media journalism
28%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.58.206.67United States
AS15169GOOGLE
113.226.244.15United States
AS16509AMAZON-02
123.207.210.139Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
134.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
134.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1104.18.38.117United States
AS13335CLOUDFLARENET
1216.177.87.133United States
AS40422PACIOLAN
123.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.226.244.114United States
AS16509AMAZON-02
1142.250.185.234United States
AS15169GOOGLE
2525--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F311CC7A6C848625A8E705532A32F748E1A81068FE34A1557CC8D9AC17B1EEFDD03DE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nfgUdYWweX9p5gqlYAm95uqkEuDAmz9CG:npBbzgqlc9FkFz9X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1068:AIAMAAIAgAAUAACAQAAgAAAAAgABAAABCAAAAQAAAAAAAAAACIAABAAAAAAACACACEAACAIAAAAAEQAEAAABCAAAAAEAQAAA

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#931f33

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data