Security Scan Report: ausopen.com

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Submitted: Oct 7, 2025, 10:06:34 AMCompleted: Oct 7, 2025, 10:07:37 AMpubliccompleted
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Summary

This website contacted 75 IPs in 1 country across 22 domains to perform 183 HTTP transactions. The main domain is ausopen.com and was registered NaN years ago.

Submitted URL: https://ausopen.com/players/france/giovanni-mpetshi-perricard

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain with minimal risk rating
Legitimate brand presence and official content
Domain age information unavailable

Details

Page Title

Giovanni Mpetshi Perricard [FRA] | AO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'ausopen.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'ausopen' spans 7 characters split between four vowels and 3 consonants. Breaking it apart gives 3 words: a, us, open. Average segment length settles at 2 characters. The linguistic tilt is Hungarian for 'a'. Usage also turns up in Portuguese and Galician contexts. Net impression: Hungarian phrase.

Screenshot

Security scan screenshot of https://ausopen.com/players/france/giovanni-mpetshi-perricard

Page Load Overview

16.52s
Total Load Time
183
HTTP Requests
22
Domains
13.3 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:6,340 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.172.112.55United States
AS16509AMAZON-02
218.245.31.68United States
AS16509AMAZON-02
218.172.112.93United States
AS16509AMAZON-02
213.32.121.55New York, New York, United States
AS16509AMAZON-02
2142.250.184.194United States
AS15169GOOGLE
2142.250.185.65United States
AS15169GOOGLE
218.245.31.31United States
AS16509AMAZON-02
213.32.121.126New York, New York, United States
AS16509AMAZON-02
2142.250.186.138United States
AS15169GOOGLE
213.107.253.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
18375--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16124925B79A0232EE6D79759EA627A887911994FFD330DDCF10D53B84BCDBE14C0220A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Z76BULYypktPi4+3yb8fciUzbz9JA5jCNws2RL/SKyz9jSowCRdd2Lj2BSiSaPSp:ZIU74+Ctit/S79ciSBrsg+kZK/sJRx3t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:209403:ZyAmwkAAggEAkCKkIUACQiFiIhIMCpBihIB8T1iAmWggAgQYsAR6McSAJaJa4EEKHUgzJBodhE9kTuyEAAyDCABHXVKQCFQC

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:bf99818183ffffe3
Perceptual Hash:af1f858137339594
Difference Hash:7923233333c00f8e
Wavelet Hash:1991818181ffffc3
Color Hash:#9ed22d

Scan History

Scan history not available

Unable to load historical scan data