Security Scan Report: bmwofsanantonio.com

Redirected to:
https://www.bmwofsanantonio.com/
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Submitted: Sep 26, 2026, 4:17:16 AMCompleted: Sep 26, 2026, 4:18:35 AMpubliccompleted

This website contacted 134 IPs in 5 countries across 96 domains to perform 455 HTTP transactions. The main domain is bmwofsanantonio.com and was registered 30 years ago.

Submitted URL: https://bmwofsanantonio.com

Effective URL:

https://www.bmwofsanantonio.com/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established 2004 BMW dealership site with self-branding, no credential/payment forms, no malware or threat-intel hits; medium IDS alerts are informational hosting references only.

Safety Factors (5)
Established domain age over 22 years
Self-branding consistent with domain ownership
No credential or payment collection on the page
No malicious JavaScript or malware indicators detected
Business legitimacy indicators present (contact, about, legal pages)
Domain age information unavailable

Details

Page Title

New & Used BMW Car Dealer | Principle BMW of San Antonio

Scan Type

public

Domain Name Analysis

Domain 'bmwofsanantonio.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'bmwofsanantonio' is 15 characters long holding 6 vowels versus nine consonants. Splitting it apart reveals 4 words: bmw, of, san, antonio. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bmwofsanantonio.com

Page Load Overview

16.33s
Total Load Time
31.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:37,138 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping57% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
57%
technology software
32%
corporate
25%
forum
20%

Detected Features

Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5692.123.104.21Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
392.123.104.19Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.241.202Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.241.214Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
32.16.204.146Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
318.223.56.5Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
392.123.104.66Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.251.150.119Google · CDNUnited States
AS15169Google LLC
3142.250.154.148Google · CDNUnited States
AS15169Google LLC
455134--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F60120DEBC1540AB0991292232F3B40CBCE2202451085DD697C7A8CD692AFEB4C8748C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kx/XzVKOuKtD2Fbj0VjfYsjNaQ/XABSRW44G/63UYwyRpedgpvuKz1UZ4d/Aj:kWOPGjsjAsjQ2fRW4D/oVMg0OBdoj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:760:AIAAAAAAAAAAAAGAIAQAAAAAAAAAAAAAAAAAAgAAAACAIEAAAAAACIgCACAAAAAAAAACAAAgAAAAAQAAAAAAAAAAAEEIAAAA

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:1f3fffffffffffff
Perceptual Hash:870707070707fbf9
Difference Hash:e040000000000000
Wavelet Hash:1030f0f0f0f0f0f0
Color Hash:#1f9331

Other Hashes

Crop Resistant:e040000000000000

Scan History

Scan history not available

Unable to load historical scan data