Summary
This website contacted 12 IPs in 3 countries across 9 domains to perform 103 HTTP transactions. The main domain is rauzulusstreet.com and was registered NaN years ago.
Submitted URL: https://www.rauzulusstreet.com/football/profootball/nflldirectory.htm
The Cisco Umbrella rank of the primary domain is #710,313 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 85%
Site mimics the NFL directory on an unrelated, low‑rank domain; likely phishing.
Risk Factors
Details
Page Title
National Football League (NFL) Team Directory
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'www.rauzulusstreet.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 14 characters in 'rauzulusstreet' holding six vowels versus 8 consonants. Segmentation suggests three words: rau, zulus, street. Average segment length settles at 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 |
|---|---|---|---|
| 15 | 216.58.209.206 | United States | AS15169GOOGLE |
| 8 | 34.111.60.239 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 66.96.149.32 | United States | AS29873BIZLAND-SD |
| 8 | 142.251.38.66 | United States | AS15169GOOGLE |
| 8 | 35.214.213.192 | Groningen, Groningen, Netherlands | AS15169GOOGLE |
| 8 | 216.58.209.193 | United States | AS15169GOOGLE |
| 8 | 35.208.249.213 | Council Bluffs, Iowa, United States | AS15169GOOGLE |
| 8 | 34.54.226.84 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 2a00:1450:4026:800::2002 | Ireland | AS15169GOOGLE |
| 8 | 2a00:1450:4026:804::2002 | Ireland | AS15169GOOGLE |
| 103 | 12 | - | - |
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
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