Security Scan Report: www.miamidolphins.com

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Submitted: Oct 11, 2025, 5:35:31 PMCompleted: Oct 11, 2025, 5:38:30 PMpubliccompleted
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Summary

This website contacted 101 IPs in 4 countries across 34 domains to perform 1089 HTTP transactions. The main domain is miamidolphins.com and was registered NaN years ago.

Submitted URL: https://www.miamidolphins.com/video/tua-tagovailoa-october-5-postgame-press-conference

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

Legitimate official site with minimal risk; safe for normal browsing.

Risk Factors
Circular redirect detected (final URL points back to a URL earlier in the redirect chain)
Domain not listed in Cisco Umbrella top 1 M (unranked)
Safety Factors
Official brand domain with verified NFL team ownership
Long domain age (> 10 years) indicating established presence
No malicious Indicators of Compromise detected
No forms collecting passwords, payment, or personal identifiers
Content matches official press‑conference video from the Miami Dolphins
Domain age information unavailable

Details

Page Title

Tua Tagovailoa - October 5 | Postgame Press Conference

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(31%)

Domain Information

Domain 'www.miamidolphins.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 13 characters in 'miamidolphins' containing 5 vowels alongside eight consonants. Tokenizing the label suggests two words: miami, dolphins. Average segment length settles at 6.5 characters. 'miami' most often appears in Chinese (Pinyin). It also appears in Danish and English contexts. Taken together, it feels Chinese (Pinyin).

Screenshot

Security scan screenshot of https://www.miamidolphins.com/video/tua-tagovailoa-october-5-postgame-press-conference

Page Load Overview

1.74s
Total Load Time
1089
HTTP Requests
34
Domains
28.2 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:22,255 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism31% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
31%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
93146.75.121.153Frankfurt am Main, Hesse, Germany
AS54113FASTLY
89143.204.98.24United States
AS16509AMAZON-02
22142.250.185.226United States
AS15169GOOGLE
19146.75.121.152Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13104.18.87.42United States
AS13335CLOUDFLARENET
1052.49.73.218Dublin, Leinster, Ireland
AS16509AMAZON-02
10151.101.1.91San Francisco, California, United States
AS54113FASTLY
1052.208.68.40Dublin, Leinster, Ireland
AS16509AMAZON-02
1064.233.176.120United States
AS15169GOOGLE
1054.77.168.119Dublin, Leinster, Ireland
AS16509AMAZON-02
1089101--

Detected Technologies2

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5840AB36188596F050F27E5E3633E08F05292EBF5498185F7ED5AE0D7A6CF2212AF50

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LcuQF6bi2lZEUvrej7XdNbGYJQbqb/zD2N/ssz11YfUANJgG7v/uQ+PnR9+bLi8o:l+bLi8+yYkOCqSi+dfs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:398095:Ew0xMQQkMqJpIom8WABBCAENwAAeCCQUCRGQRGpjLAgVAJaizFFeQIRcCFFAAEgE2BmJAEgIZGQYYHIAUiQIk0AQYJUAhDAK

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:0000fff3e3c3ffff
Perceptual Hash:e44b5b6466d991c6
Difference Hash:c0d13806a68695ed
Wavelet Hash:0000ffc3c3c3c3ff
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data