Security Scan Report: www.coshoctontribune.com

Redirected to: https://eu.coshoctontribune.com/story/sports/ncaaf/2025/11/01/miami-at-smu-odds-picks-and-predictions/87014517007/

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Submitted: Nov 1, 2025, 6:43:20 PMCompleted: Nov 1, 2025, 6:44:23 PMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 7 domains to perform 76 HTTP transactions. The main domain is eu.coshoctontribune.com and was registered NaN years ago.

Submitted URL: https://www.coshoctontribune.com/story/sports/ncaaf/2025/11/01/miami-at-smu-odds-picks-and-predictions/87014517007/

Effective URL: https://eu.coshoctontribune.com/story/sports/ncaaf/2025/11/01/miami-at-smu-odds-picks-and-predictions/87014517007/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (registered since 1998)
No malicious Indicators of Compromise detected
No forms collecting sensitive data
No known phishing or malware activity associated with the site
Domain age information unavailable

Details

Page Title

Miami at SMU odds, picks and predictions

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'www.coshoctontribune.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'coshoctontribune' is 16 characters long with 6 vowels and 10 consonants. Tokenizing the label suggests 5 words: co, sh, oct, on, tribune. Median word length is two characters. 'co' most often appears in Estonian. Secondary signals appear in Finnish and Czech.

Screenshot

Security scan screenshot of https://www.coshoctontribune.com/story/sports/ncaaf/2025/11/01/miami-at-smu-odds-picks-and-predictions/87014517007/

Page Load Overview

23.55s
Total Load Time
76
HTTP Requests
7
Domains
664 KB
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:18,915 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
news/blog
40%
news
30%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.18.87.42United States
AS13335CLOUDFLARENET
5146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
5104.18.86.42United States
AS13335CLOUDFLARENET
5151.101.1.91San Francisco, California, United States
AS54113FASTLY
52a04:4e42:400::347United States
AS54113FASTLY
5151.101.65.91San Francisco, California, United States
AS54113FASTLY
52a04:4e42:600::347United States
AS54113FASTLY
52a04:4e42:200::347United States
AS54113FASTLY
52606:4700::6812:562aUnited States
AS13335CLOUDFLARENET
5151.101.193.91San Francisco, California, United States
AS54113FASTLY
7613--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C964E66B3954233EE6D78749A6A23A893520885FFD335CDDF58C53384BCDBE20D2164A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Kc3HxeWdnXBSoUBS5eUo/o6AkxG36yrtHyrYhp6tYvy3jdm2mHMlz9JAxFTe/CXJ:VHxeWdnXhUBjxCEAdTe0tkhIPAikA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:315851:YAQCAgDEYKYMkxjKQITJgpLAEBBWSsgCsTWUREsoZKCABDggpiRjZwiCaGyQTxAaU4BVIUCqEtAaQAQAiIlMMDYRkYEI0URh

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:e7c3c3c3c3ffffff
Perceptual Hash:e5309e8f999a8c99
Difference Hash:8e8e8e8e8e46cec6
Wavelet Hash:42c2c3c3c3e3e3e3
Color Hash:#40bfae

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data