Security Scan Report: www.tennisnerd.net

Submitted: Oct 7, 2025, 10:12:39 AMCompleted: Oct 7, 2025, 10:14:17 AMpubliccompleted
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Summary

This website contacted 71 IPs in 2 countries across 21 domains to perform 146 HTTP transactions. The main domain is tennisnerd.net and was registered NaN years ago.

Submitted URL: https://www.tennisnerd.net/betting-blog/giovanni-mpetshi-perricard-vs-holger-rune-predictions-and-preview-shanghai-masters/60013

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with long registration history
Only standard comment, search, and newsletter forms
Domain age information unavailable

Details

Page Title

Giovanni Mpetshi Perricard vs Holger Rune, Predictions and Preview, Shanghai Masters - Tennisnerd.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(91%)

Domain Information

The domain name 'www.tennisnerd.net' uses the network infrastructure generic top-level domain (.net) with subdomain 'www'. The registrable portion 'tennisnerd' spans 10 characters split between three vowels and seven consonants. Breaking it apart gives 2 words: tennis, nerd. Median word length is five characters. 'tennis' most often appears in Danish. It also appears in English and Italian contexts.

Screenshot

Security scan screenshot of https://www.tennisnerd.net/betting-blog/giovanni-mpetshi-perricard-vs-holger-rune-predictions-and-preview-shanghai-masters/60013

Page Load Overview

50.86s
Total Load Time
146
HTTP Requests
21
Domains
1.6 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:8,575 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting91% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
91%
news/blog
50%
entertainment media
40%
documentation technical
39%
corporate
35%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3United States
AS13335CLOUDFLARENET
218.157.198.94Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2172.217.18.104United States
AS15169GOOGLE
2104.18.94.41United States
AS13335CLOUDFLARENET
2212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2146.75.122.49Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.185.131United States
AS15169GOOGLE
264.233.184.157United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
2142.250.186.98United States
AS15169GOOGLE
14671--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FE374F2188D74390267F6C4F128F22CA6A36106CF058AD1B3FD6588DF42F9564A736E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Cid+Gk5V1/19ANekxfSethXNgc0hAn0XAVbE08E0tD37Nxs5I8k+kwHVh:Z5XNtbE08EzRPh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:155485:ysoTECiaqDIIkRBhygJgCQRtCeMYDcNRgLgGIgpLKCKAwxMAHhQhuJNQBVkkRhY2QIIgAAIoiJSVIhBBeFVsEDBh4hAlgBIh

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:00f9b99d9f9fffff
Perceptual Hash:9e4b6134157b1e74
Difference Hash:b90969696465292d
Wavelet Hash:00f9999d9f978187
Color Hash:#4d2d86

Scan History

Scan history not available

Unable to load historical scan data