Summary
This website contacted 52 IPs in 3 countries across 33 domains to perform 113 HTTP transactions. The main domain is tuscaloosathread.com and was registered NaN years ago.
Submitted URL: https://tuscaloosathread.com/ixp/531/p/kalen-deboer-alabama-rose-bowl-cfp/
AI Security Verdict
High Risk
Confidence: 88%
Page impersonates Facebook/Twitter on an unrelated domain, posing a high‑risk phishing threat.
Risk Factors
Details
Page Title
DeBoer has Opportunity to Reintroduce Alabama to World
Scan Type
public
Language
English
Category
entertainment media
(56%)Domain Information
The domain name 'tuscaloosathread.com' uses the commercial generic top-level domain (.com) without a subdomain. The registrable portion 'tuscaloosathread' spans 16 characters holding seven vowels versus nine consonants. Segmentation suggests two words: tuscaloosa, thread. The median word length lands at eight 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 |
|---|---|---|---|
| 31 | 172.64.146.226 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.185.66 | United States | AS15169GOOGLE |
| 2 | 18.245.64.167 | United States | AS16509AMAZON-02 |
| 2 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.184.234 | United States | AS15169GOOGLE |
| 2 | 23.36.162.216 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.36.162.202 | Unknown | |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 2 | 34.253.84.14 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 2 | 23.36.162.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 133 | 52 | - | - |
Detected Technologies16
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