Listen to this Post
Need help getting the most out of ChatGPT? Use these prompt templates that are proven to deliver useful, creative, and structured outputs—whether you’re in cybersecurity, IT, AI development, or tech education.
You Should Know:
1. Expert Role Prompt (Cybersecurity Edition)
Use ChatGPT to simulate a penetration tester or SOC analyst to analyze logs, suggest exploits, or harden systems.
Example
"Act as a senior cybersecurity analyst. Analyze this Apache log snippet for potential intrusions and suggest mitigation steps: [bash]."
Practical Command (Linux):
grep '404|500' /var/log/apache2/access.log | awk '{print $1, $7}' | sort | uniq -c | sort -nr
2. Step-by-Step Guide (IT Troubleshooting)
Get structured instructions for debugging network issues or configuring firewalls.
Example
"Provide a step-by-step guide to diagnose DNS resolution failures on Ubuntu."
Practical Commands:
nslookup example.com dig example.com systemd-resolve --status
3. Compare & Decide (Security Tools)
Let ChatGPT compare Nmap vs. Masscan or Wireshark vs. tcpdump based on your use case.
Example
"Compare Nmap and Masscan for large-scale network scanning, including pros and cons."
Practical Nmap Command:
nmap -sV -T4 -p- 192.168.1.0/24 -oN scan_results.txt
4. Idea Generator (AI & Cybersecurity)
Generate zero-day exploit concepts or AI-powered threat detection strategies.
Example
"Suggest 5 innovative ways to detect ransomware using machine learning."
Practical Python Snippet (Log Analysis):
import pandas as pd
from sklearn.ensemble import IsolationForest
logs = pd.read_csv('syslog.csv')
model = IsolationForest(contamination=0.01)
logs['anomaly'] = model.fit_predict(logs[['bytes_sent', 'status_code']])
5. Rewrite Prompt (Secure Coding)
Ask ChatGPT to rewrite vulnerable code snippets securely.
Example
"Rewrite this SQL query to prevent injection: 'SELECT FROM users WHERE id = ' + user_input;"
Secure Alternative (Python):
cursor.execute("SELECT FROM users WHERE id = %s", (user_input,))
6. Critique & Improve (Malware Analysis Report)
Get feedback on your incident response report or YARA rules.
Example
"Critique this YARA rule for detecting C2 traffic and suggest improvements."
Practical YARA Rule:
rule C2_Beacon {
strings:
$c2_pattern = /https?:\/\/[a-z0-9]+.(xyz|pw)\//
condition:
$c2_pattern
}
7. Simulate a Scenario (Red Team Exercise)
Run a mock phishing attack simulation or tabletop exercise.
Example
"Simulate a phishing email targeting a financial firm’s employees."
Practical Command (Swaks for Email Testing):
swaks --to [email protected] --from [email protected] --server mail.example.com --body "Urgent: Password Reset Required"
8. Format-Specific Request (Threat Intelligence Report)
Ask for STIX/TAXII feeds or MITRE ATT&CK mappings.
Example
"Generate a CSV of recent APT groups mapped to MITRE ATT&CK techniques."
Practical Command (Linux):
curl -s https://apt.threattracking.com/feeds/apt.csv | grep -i "APT29"
9. List Builder (Security Hardening Checklist)
Generate CIS Benchmark compliance steps or Kali Linux post-install tasks.
Example
"List 10 essential Kali Linux hardening steps after installation."
Practical Commands:
apt update && apt upgrade -y systemctl disable postgresql chmod 700 /root
10. Brainstorm With Me (AI + Cybersecurity Fusion)
Collaborate on AI-driven SIEM rules or automated pentesting scripts.
Example
"Brainstorm a Python script that automates Shodan queries for vulnerable IoT devices."
Practical Shodan CLI Command:
shodan search --fields ip_str,port,org "Apache 2.4.49"
What Undercode Say:
These ChatGPT prompts bridge the gap between AI assistance and technical execution. By integrating them with real-world commands, cybersecurity pros, IT admins, and developers can automate workflows, enhance security, and optimize troubleshooting.
Expected Output:
- Security teams get actionable threat intelligence.
- Developers write more secure code.
- Sysadmins debug faster with structured guides.
Prediction:
AI-powered prompt engineering will revolutionize cybersecurity training, making complex tasks accessible to junior analysts while augmenting experts with automated insights.
Relevant URLs:
References:
Reported By: Denis Panjuta – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
