Summary
This website contacted 9 IPs in 3 countries across 9 domains to perform 1 HTTP transaction. The main domain is fieldstforum.com and was registered NaN years ago.
Submitted URL: https://www.fieldstforum.com/2025/08/01/uga-football-meet-georgias-new-ol-assistant-coach-phil-rauscher/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate informational article; no security concerns detected.
Safety Factors
Details
Page Title
UGA Football: Meet Georgia’s New OL Assistant Coach Phil Rauscher – Field Street Forum
Scan Type
public
Language
English
Category
news media journalism
(61%)Domain Information
You're looking at domain 'www.fieldstforum.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'fieldstforum' stretches across 12 characters with four vowels and eight consonants. Breaking it apart gives three words: field, st, forum. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 16 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 15 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 15 | 142.251.140.168 | United States | AS15169GOOGLE |
| 15 | 67.20.76.199 | Phoenix, Arizona, United States | AS46606UNIFIEDLAYER-AS-1 |
| 15 | 142.251.141.66 | United States | AS15169GOOGLE |
| 15 | 192.0.77.37 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 15 | 172.217.18.8 | United States | AS15169GOOGLE |
| 15 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 15 | 185.3.92.76 | London, England, United Kingdom | AS63949Akamai Connected Cloud |
| 136 | 9 | - | - |
Detected Technologies5
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
Scan History
Scan history not available
Unable to load historical scan data