Security Scan Report: starken.courses

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Submitted: Jul 2, 2026, 7:24:18 AMCompleted: Jul 2, 2026, 7:25:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is starken.courses and was registered NaN years ago.

Submitted URL: https://starken.courses/

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: Error page title: 'Error 524 - A timeout occurred' with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Error 524 - A timeout occurred

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(29%)

Domain Information

The domain 'starken.courses' uses the .courses top-level domain and has no subdomain. Count 7 characters in 'starken' holding two vowels versus 5 consonants. Word splitting yields two words: star, ken. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://starken.courses/

Page Load Overview

0.89s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:289 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software29% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.164.196.67São Paulo, São Paulo, Brazil
AS132203Tencent Building, Kejizhongyi Avenue
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A051020BA3E6015EBCC5A42C2BE3114536D8D943E12AD6E87F9D6208CF9D6E0DD5934D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T4zUnCGEDaaH9hRJ67+UfFyclV3VYdLh1ku4vLnprMvMyzad:T4DGoBJ6iQFyYFYP1pmLKMCad

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3040:AAQAABaAAAYGhIADCjABRIAAAAACAAADEEECIAEIBMAAEgAAAAYKgAoAgRABABgCAAGCAAQClAEIBABkQCEETAABAxRRAAgA

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:201c0c3c00000000
Perceptual Hash:9a986c6767633139
Difference Hash:6031996920000000
Wavelet Hash:3c3c0c3c03033333
Color Hash:#e0b96c

Other Hashes

Crop Resistant:6031996920000000

Scan History

Scan history not available

Unable to load historical scan data