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ChatGPT can be repurposed to generate mock-up heatmaps or “x-rays” that visually represent security risks, vulnerabilities, and misconfigurations in systems. This technique helps penetration testers and security analysts better communicate threats to stakeholders. Below is a practical guide on leveraging AI for security visualization.
You Should Know:
1. Crafting Effective ChatGPT Prompts
To generate security heatmaps, use structured prompts like:
"Generate a color-coded heatmap representing critical vulnerabilities in a web application, including SQLi, XSS, and CSRF risks. Use red for critical, yellow for medium, and green for low severity."
2. Converting Text to Visuals
Use Python with libraries like `matplotlib` or `seaborn` to transform ChatGPT’s output into visuals:
import matplotlib.pyplot as plt
import seaborn as sns
data = {
"SQL Injection": 9,
"XSS": 7,
"CSRF": 5,
"Broken Auth": 6
}
sns.heatmap([list(data.values())], annot=True, xticklabels=data.keys(), cmap="YlOrRd")
plt.title("Web App Vulnerability Heatmap")
plt.show()
3. Automating with Bash & Linux Tools
Extract vulnerability data using `grep` and awk, then feed it to ChatGPT:
cat scan_results.txt | grep "CRITICAL" | awk '{print $1, $2}' > critical_vulns.txt
4. Windows Command for Log Analysis
Use PowerShell to parse logs for visualization:
Get-Content .\security_logs.log | Select-String "Vulnerability" | Out-File vuln_data.txt
5. Enhancing Reports with AI
Integrate ChatGPT with Markdown for automated reporting:
Vulnerability Heatmap Analysis - Critical (Red): SQLi, RCE - Medium (Yellow): XSS, CSRF - Low (Green): Info Leakage
Prediction
AI-generated security visualizations will become a standard in penetration testing reports, reducing manual effort and improving stakeholder communication. Tools like ChatGPT will evolve to directly integrate with scanners like Nessus and Burp Suite.
What Undercode Say
Leveraging AI for security heatmaps bridges the gap between raw scan data and actionable insights. Combining ChatGPT with scripting (Python/Bash/PowerShell) automates vulnerability reporting, making it faster and more precise.
Expected Output:
- AI-generated heatmap images
- Structured vulnerability reports
- Automated log parsing scripts
(No URLs required for this guide.)
IT/Security Reporter URL:
Reported By: Spenceralessi Is – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
