Security Scan Report: w.rauzulusstreet.com

Redirected to:
http://w.rauzulusstreet.com/hockey/nhl/players/player?name=leonajo01
Submitted: Dec 21, 2025, 8:58:30 PMCompleted: Dec 21, 2025, 9:00:44 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 25 HTTP transactions. The main domain is w.rauzulusstreet.com and was registered 24 years ago.

Submitted URL: http://w.rauzulusstreet.com/hockey/nhl/players/player.php?name=leonajo01

Effective URL:

http://w.rauzulusstreet.com/hockey/nhl/players/player?name=leonajo01
Redirected

The Cisco Umbrella rank of the primary domain is #710,313 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected security threats.

Safety Factors (4)
Well‑established domain (>20 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Standard hosting environment
Domain age information unavailable

Details

Page Title

John Leonard Career Statistics

Scan Type

public

Domain Name Analysis

The domain name 'w.rauzulusstreet.com' uses the commercial generic top-level domain (.com) and includes subdomain 'w'. Count 14 characters in 'rauzulusstreet' split between 6 vowels and eight consonants. Breaking it apart gives three words: rau, zulus, street. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://w.rauzulusstreet.com/hockey/nhl/players/player.php?name=leonajo01

Page Load Overview

97.49s
Total Load Time
166 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Text Length:1,765 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content78% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
78%
documentation technical
50%
government public service
38%
entertainment media
30%
technology software
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2566.96.131.75United States
AS29873BIZLAND-SD
251--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ABF132A6A4F4759E9D56664085023DEE8FF1047E33022E08384D99BBEBD74CE09B36DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:F3WpymhuYOk8VCKCG12kylMvMaMHM5MaMUM6pMfmMj/M8R3L0NGELRzk0NyYxN8h:F3WpBuF1yWUxsixv6SfVjk8JiNTuGo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7913:AYUVcnCoYkBgLBWB2IiQIjGCgkocARqJpkQSgUdiBBDKhUAI0AYRkGABJcJNREkQ0iI4CQAgNAIiK2QhUImQgNijQfFUIVRB

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:7f3f3f3f3f3f3f3f
Perceptual Hash:8178f8fcf8e470e0
Difference Hash:c4f8ececd6fce0f8
Wavelet Hash:001f0717071f3f3f
Color Hash:#743a78

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data