Summary
This website contacted 51 IPs in 2 countries across 12 domains to perform 110 HTTP transactions. The main domain is coogfans.com and was registered NaN years ago.
Submitted URL: https://www.coogfans.com/t/cfb-2025-week-7/64720
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate forum site with standard login; no security concerns detected.
Safety Factors
Details
Page Title
CFB 2025: Week 7 - Football - CoogFans - Houston Cougar Football, News and Forums
Scan Type
public
Language
English
Category
adult content
(31%)Domain Information
The domain 'www.coogfans.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'coogfans' is 8 characters long holding three vowels versus five consonants. Breaking it apart gives three words: coo, g, fans. Expect 3 characters per word on average. 'como' is most common in Galician usage. Secondary signals appear in Portuguese (Brazil) and Portuguese. Overall, 'www.coogfans.com' reads as Galician.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 142.250.185.142 | United States | AS15169GOOGLE |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 104.21.80.65 | United States | AS13335CLOUDFLARENET |
| 2 | 172.217.18.8 | United States | AS15169GOOGLE |
| 2 | 5.161.108.67 | Ashburn, Virginia, United States | AS213230Hetzner Online GmbH |
| 2 | 18.66.147.47 | United States | AS16509AMAZON-02 |
| 2 | 142.250.185.74 | United States | AS15169GOOGLE |
| 2 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 2 | 54.189.82.150 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 2 | 18.66.147.84 | United States | AS16509AMAZON-02 |
| 110 | 51 | - | - |
Detected Technologies4
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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