Hi DEV Community 👋 This is my very first post here, and I’m excited to start sharing my journey with all of you! I’m currently a student developer exploring different areas of computer science and technology. Over the past months, I’ve bee…

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My First DEV Post: Learning AI, Big Data & Web Development Hi DEV Community 👋 This is my very first post here, and I’m excited to start sharing my journey with all of you!

Angriffsfläche

Enterprise IT / Cloud Infrastruktur

Exploit-Status

Geringe Ausnutzungswahrscheinlichkeit / Keine aktiven Kampagnen

Sofortmaßnahme

Asset-Inventar prüfen & Upstream-Advisory überwachen

Hi DEV Community 👋

This is my very first post here, and I’m excited to start sharing my journey with all of you!

I’m currently a student developer exploring different areas of computer science and technology. Over the past months, I’ve been working on projects and learning about:

•🤖 Artificial Intelligence (search problems, Prolog, A*, CSPs, and neural networks)

•📊 Big Data concepts (Hadoop, analytics, security, real-world applications)

•🐍 Python programming (graph problems, string matching, numerical methods)

•🌐 Web Development (React, Tailwind CSS, Flask, and even small Shopify/CRM projects)

Why I joined DEV 👉

I wanted a space to learn in public, connect with other devs, and document my progress as I move from solving algorithm problems to building real-world applications.

What you can expect from me here:

•🔎 Step-by-step explanations of algorithms & AI problems

. 🛠️Tutorials and student-friendly guides

•🚀 Project showcases (like an Emotion-Based Music Recommender App 🎶 or a Saveetha EIS portal)

•💡 Lessons learned while experimenting with code and new technologies

I’d love to connect with others who are passionate about AI, Big Data, and web development.

👉 What was your first big project when you started coding?

Thanks for reading my very first post—looking forward to growing together with this community! 🚀

beginners #ai #python #webdev

1. Sofort-Triage & Abwehrmaßnahmen

IR-PLAYBOOK-VULN-REMEDIATIONMEDIUM

Schritte anzeigen

SOC Incident Playbook: Vulnerability Remediation & Verification

Asset Inventory

Asset-Datenbank nach betroffenen Komponenten, Versionen und exposed Ports abfragen.

nmap -sV --script vuln -p- <target-network>

Exploit MonitoringSofort

SIEM-Regeln und IDS-Signaturen (Snort/Suricata) auf Angriffsversuche schärfen.

tail -f /var/log/suricata/fast.log | grep <cve>

Patch DeploymentSofort

Patch oder offiziellen Workaround gemäß Hersteller-Empfehlung einspielen.

Check Vendor Security Advisory Bulletin

1-Click Detection Engineering: Multi-Dialect SIEM Rules5 Formate

Regeln anzeigen

Syntax validiert (0 Fehler)

title: Detect Exploitation - My First DEV Post: Learning AI, Big Data & Web Development
id: 9e8cb605-da57-44a8-b372-98b69f4c590c
status: experimental
description: Automatisch generierte SIEM-Erkennungsregel basierend auf CTI Intelligence
references:
  - https://tsecurity.de/
author: iShareStuff CTI Automated Detection Engine
date: 2026-09-26
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 = "2026-09-26"
        description = "YARA Signature for "
    strings:
        $str = "My First DEV Post: Learning AI" ascii wide
    condition:
        any of them
}

Syntax validiert (0 Fehler)

index=security sourcetype IN ("cisco:asa", "pan:traffic", "zeek_conn", "suricata", "WinEventLog:Security")
("My First DEV Post Learning AI Big Data  ")
| 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: "*My First DEV Post Learning AI Big Data  *"

Syntax validiert (0 Fehler)

CommonSecurityLog
| where Message has "My First DEV Post Learning AI Big Data  "
| 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

💡 Tipp: Klicken Sie auf eine TTP, um Gegenmaßnahmen und SIEM-Erkennungsregeln anzuzeigen.Enterprise Matrix v14.1

🚀 Auf tsecurity.de entdecken

◀ VORHERIGER BEITRAG 1 Min

Do You Miss LaunchPad in MacOS Tahoe? Using the New LaunchPad, Plus a LaunchPad Alternative

Apple iOS & macOS

NÄCHSTER BEITRAG 1 Min

Coding Implementation to End-to-End Transformer Model Optimization with Hugging Face Optimum, ONNX Runtime, and Quantization

AI & KI NachrichtenWeiterlesen ▶

Blättern: Pfeiltasten [ ← ] [ → ] · Tasten j / k · mobil: Wischen

Fokus-Vektor:

Kognitive Analyse für identifizierte Bedrohung: Erhöhte Bedrohungslage im Bereich My First DEV Post: Learning AI, Big Data.... Basierend auf 368k Vektor-Korrelationen werden sofortige Isolationsmaßnahmen für betroffene Endpunkte empfohlen.

🛡️ 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.

🔗 Semantisch verwandte Zero-Days MariaDB 11.7 VEC

Schnell-Prompts für Analysten

⚠️ DEFANGED SANDBOX VIEW (tsecurity.de): Alle Netzwerkindikatoren und URLs wurden neutralisiert (2 Indikatoren entschärft). Nur zur defensiven Analyse!

Format: python

#!/usr/bin/env python3
# Exploit Title: PoC for Target
import socket, sys
target = '192[.]168[.]1[.]10'
url = 'hxxp://target[.]local/vuln'
s = socket.socket()
s.connect((target, 80))
s.send(b'GET / HTTP/1.1\r\nHost: target.local\r\n\r\n')

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My First DEV Post: Learning AI, Big Data & Web Development

beginners #ai #python #webdev

1. Sofort-Triage & Abwehrmaßnahmen

SOC Incident Playbook: Vulnerability Remediation & Verification

2. Cyber Threat Intelligence & Forensik

MITRE ATT&CK Matrix Navigator 14 Taktiken

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