20+ AI Tools for Malware Triage, CTI, RAG, MCP, and NOVA

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You Should Know:

1. IATelligence

  • URL: https://lnkd.in/gcAthRah
  • Description: AI-powered malware analysis tool.
  • Commands: 
    python3 iatelligence.py --file malware.exe --analyze

2. Threat Report Summarization

  • URL: https://lnkd.in/gfBUX4jr
  • Description: Automates threat intelligence report summarization.
  • Commands: 
    python summarize_threat_report.py --input report.pdf --output summary.txt

3. MSTICpy CTI Agent

  • Description: Microsoft Threat Intelligence Python library.
  • Commands: 
    pip install msticpy 
python -c "from msticpy.sectools.tilookup import TILookup; TILookup().lookup_ioc('malicious-domain.com')"

4. RAG System for MITRE ATT&CK

  • URL: https://lnkd.in/gkQD_tqy
  • Description: Retrieval-Augmented Generation for ATT&CK framework.
  • Commands: 
    git clone https://github.com/mitre-attack/attack-rag 
cd attack-rag && python3 query_engine.py --technique T1059

5. ISOON Leak Analysis

  • URL: https://lnkd.in/ga9AyAcD
  • Description: AI-driven data leak detection.
  • Commands: 
    python isoon_leak_analyzer.py --dataset leaked_data.csv --output findings.json

6. Time Series Analysis with GPT Vision

  • URL: https://lnkd.in/gkTwvjPx
  • Description: Uses GPT for anomaly detection in logs.
  • Commands: 
    python gpt_vision_analyzer.py --logfile access.log --model gpt-4

7. DocYara Agent + RAG

  • URL: https://lnkd.in/ggH5acpB
  • Description: Combines YARA rules with AI for document analysis.
  • Commands: 
    docyara scan --file suspicious.doc --ruleset malware_rules.yar

8. NOVA Framework

  • URL: https://novahunting.ai
  • Description: AI-driven threat hunting.
  • Commands: 
    nova hunt --target 192.168.1.0/24 --profile advanced

9. MCP Scanner

10. Dark Web Search Engine

  • Description: AI-powered dark web monitoring.
  • Commands: 
    darkweb_search --query "credit card dump" --limit 50

What Undercode Say:

AI is revolutionizing cybersecurity by automating malware analysis, threat intelligence, and incident response. Tools like NOVA and MSTICpy enhance threat hunting, while RAG systems improve knowledge retrieval. Expect more AI-driven SOC automation in 2024.

Prediction:

AI-powered cybersecurity tools will dominate threat detection by 2025, reducing manual analysis by 60%.

Expected Output:

AI Tools Summary: 
- IATelligence: Malware analysis 
- NOVA Framework: Threat hunting 
- MSTICpy: Threat intelligence

References:

Reported By: Mthomasson Inside – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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