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⚡ tsecurity.de Intelligence

From idea to gift: 🎁 Wish list application with KendoReact 🤺, KI 🤖 & Firebase 💾

This is a submission for the KendoReact Free Components Challenge. What I Built I built a Wishlist App that allows users to: ✅ Create and manage wishlists. ✅ Add, edit, and remove wishlist items. ✅ Mark items as favorites ❤️. ✅ …

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This is a submission for the KendoReact Free Components Challenge.






What I Built



I built a Wishlist App that allows users to:

✅ Create and manage wishlists.

✅ Add, edit, and remove wishlist items.

✅ Mark items as favorites ❤️.

✅ Share their wishlist via a unique link.

✅ Reserve items from shared wishlists.

✅ Get AI-powered gift recommendations 🎯.






Demo






Start page



Start page






Wishlist



Start page






Get AI Recommendations



Get AI Recommendations






Wishlist with AI Response



Wish list





share link






Shared wishlist for guests



Shared wishlist








Running the Project Locally




  1. 1️⃣ Clone the Repository




git clone https://github.com/YOUR_USERNAME/YOUR_REPO.git
cd YOUR_REPO







  1. 2️⃣ Setup the Environment Variables

  2. Frontend:
    Rename .env.example to .env and fill in your Firebase credentials:




REACT_APP_FIREBASE_API_KEY=your_api_key
REACT_APP_FIREBASE_APP_DOMAIN=your_app_domain
REACT_APP_FIREBASE_PROJECT_NAME=your_project_name
REACT_APP_FIREBASE_STORAGE_BUCKET=your_storage_bucket
REACT_APP_FIREBASE_MESSAGING_SENDER_ID=your_messaging_sender_id
REACT_APP_FIREBASE_APP_ID=your_app_id







  • Backend:
    Rename .env.example to .env and add your Cloudflare credentials:




CLOUDFLARE_ACCOUNT=your_account_id
CLOUDFLARE_TOKEN=your_api_token







  1. Install Dependencies

  2. Frontend:




cd frontend
npm install
npm start







  • Backend:




cd backend
npm install
npm start






Your app should now be running! 🎉






KendoReact Experience



KendoReact played a major role in making this wishlist app functional. I used:



✔ KendoReact Buttons: Stylish buttons for adding, sharing, and reserving wishlist items.

✔ KendoReact Inputs: Clean form controls for entering item details.

✔ KendoReact Checkbox: Used for category selection

✔ KendoReact TextArea: Entering some additional text.

✔ KendoReact DropDownList: Easy item categorization.

✔ KendoReact Avatar: Enhancing UI with user-friendly elements.

✔ KendoReact Chip: UI Component for favorite icon

✔ KendoReact Notification: Displaying alerts and updates.

✔ KendoReact ProgressBar: Showing AI recommendation loading state.

✔ KendoReact Animation: Smooth transitions for adding/removing items.



And also some icons in navigation:

✔ KendoReact homeIcon

✔ KendoReact SvgIcon






AIm to Impress



This app integrates AI-powered recommendations 🎯 using Cloudflare API to suggest personalized gift ideas based on the wishlist contents.



🛠 How it works:

1️⃣ The user clicks "Get AI Recommendations."

2️⃣ The app sends wishlist data to the AI-powered API.

3️⃣ The AI analyzes preferences and suggests new gift ideas.

4️⃣ The recommendations appear in a KendoReact Notification panel.



🔍 This feature leverages AI to enhance user experience by providing smart, tailored gift suggestions.






Team Submissions



Worked alone during this project.



🚀 Final Thoughts

🎉 This project showcases how KendoReact Free Components can be used to build a fully functional, AI-powered wishlist.



Big thanks to KendoReact for this challenge! Looking forward to exploring more KendoReact features in future projects. 🚀

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification
Syntax validiert (0 Fehler)
title: Detect Exploitation - From idea to gift: 🎁 Wish list application with KendoReact 🤺, KI 🤖 & Firebase 💾
id: fd7f6ba8-7683-4934-9fd0-5f148ff073e4
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-27
logsource:
  category: network_connection
  product: any
detection:
  selection:
      CommandLine|contains:
        - 'exploit'
  condition: selection
falsepositives:
  - Legitime administrative Zugriffe oder Penetrationstests
level: high
tags:
  - attack.initial_access
Syntax validiert (0 Fehler)
rule CTI_Threat_Indicator {
    meta:
        author = "iShareStuff CTI Automated Detection Engine"
        date = "2026-09-27"
        description = "YARA Signature for "
    strings:
        $str = "From idea to gift: 🎁 Wish list" ascii wide
    condition:
        any of them
}
Syntax validiert (0 Fehler)
index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("From idea to gift  Wish list application")
| stats count earliest(_time) as first_seen latest(_time) as last_seen by src_ip, dest_ip, dest_host, signature
| eval first_seen=strftime(first_seen, "%Y-%m-%d %H:%M:%S"), last_seen=strftime(last_seen, "%Y-%m-%d %H:%M:%S")
| sort - count
Syntax validiert (0 Fehler)
message: "*From idea to gift  Wish list application*"
Syntax validiert (0 Fehler)
CommonSecurityLog
| where Message has "From idea to gift  Wish list application"
| summarize EventCount = count(), FirstSeen = min(TimeGenerated), LastSeen = max(TimeGenerated) by SourceIP, DestinationIP, DestinationPort, Activity
| extend DetectionRule = "iShareStuff-CTI-Compiled"
| sort by EventCount desc

2. Cyber Threat Intelligence & Forensik

🎯
MITRE ATT&CK Matrix Navigator 14 Taktiken
Reconnaissance
-
Resource Development
-
Initial Access
Execution
Persistence
-
Privilege Escalation
Defense Evasion
Credential Access
-
Discovery
-
Lateral Movement
-
Collection
-
Command and Control
Exfiltration
-
Impact
tsecurity.de Cognitive Threat RAG
Fokus-Vektor:

Analyse für identifizierte Bedrohung auf Basis von Live-CTI (ENISA EUVD): CVSS 0.0 · EPSS 0.0% · CISA KEV: nein. Handlungsableitung aus den verlinkten Hersteller-Quellen.

🛡️ Angriffsfläche & Exposure

Netzwerk/Remote-Zugriff ohne Vorauthentifizierung möglich.

⚡ Empfohlene Sofortmaßnahmen
  • 1. Perimeter-Inspektion: Relevante Portfreigaben und exponierte Endpunkte unverzüglich scannen.
  • 2. Patch-Applikation: Hersteller-Hotfix einspielen oder betroffene Daemons in isolierte DMZ-Segmente überführen.
  • 3. Telemetrie & EDR-Alerts: Prozessaufrufe und Child-Processes auf anomale Shell-Spawns überwachen.
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