Security Scan Report: www.mysanantonio.com

Submitted: Oct 9, 2025, 9:16:51 PMCompleted: Oct 9, 2025, 9:17:33 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 7 domains to perform 28 HTTP transactions. The main domain is mysanantonio.com and was registered NaN years ago.

Submitted URL: https://www.mysanantonio.com/entertainment/article/cody-johnson-tickets-san-antonio-19953663.php

The Cisco Umbrella rank of the primary domain is #155,099 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security threats detected.

Safety Factors
Established news domain (mysanantonio.com)
Low risk ranking but no malicious activity observed
No external links or redirects
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

(53% confidence)

Category

healthcare medical

(32%)

Domain Information

The domain 'www.mysanantonio.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'mysanantonio' is 12 characters long holding 5 vowels versus seven consonants. Tokenizing the label suggests 3 words: my, san, antonio. Median word length is 3 characters. 'my' most strongly signals Afrikaans. It also appears in English and Chinese (Pinyin) contexts. Overall, 'www.mysanantonio.com' reads as Afrikaans.

Screenshot

Security scan screenshot of https://www.mysanantonio.com/entertainment/article/cody-johnson-tickets-san-antonio-19953663.php

Page Load Overview

5.81s
Total Load Time
28
HTTP Requests
7
Domains
763 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en
Text Length:142 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical32% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
32%
documentation technical
32%
adult content
31%
news media journalism
31%
finance banking
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6146.75.120.200Frankfurt am Main, Hesse, Germany
AS54113FASTLY
234.36.73.246Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.185.67United States
AS15169GOOGLE
2142.250.185.106United States
AS15169GOOGLE
234.120.250.63Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
223.207.210.139Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22a00:1450:4001:80e::2003GermanyUnknown
2142.250.185.163GermanyUnknown
2146.75.121.40GermanyUnknown
2812--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183F1B7370D1A101BE59B415D36736A48A6668002BB0792B83CEEF138DFEEBD49D52F74

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nYi4fIGbnpBjpt5grJxTyFoTepRNZdWeIYlmoC9EsIgNdH2tEml87zn:Yrrn9ter/qVpZdWXoC9EW5Lj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7535:ACAEQCQJCCIAAEHYgVUAA1DIEQCCm0CAKTSB0y+CwCSRrx6ZQPCETEhAEAVIiMIRXAAggeoFBADBCCBAEgRGAA7DtoGjEgYg

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:ffffffe7e7ffffff
Perceptual Hash:b326cc993366cc99
Difference Hash:0000282848080000
Wavelet Hash:c0c0fce4ecc0f0f0
Color Hash:#78663a

Other Hashes

Crop Resistant:0000282848080000

Scan History

Scan history not available

Unable to load historical scan data