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
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Summary

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 NaN 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=leonajo01Redirected

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
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

Language

🇺🇸

English

(65% confidence)

Category

adult content

(78%)

Domain Information

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
25
HTTP Requests
1
Domains
157 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
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