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Source: NahamCon2025 Day 1 Keynote
The intersection of AI and cybersecurity is rapidly evolving, with prompt engineering becoming a critical skill for penetration testers. The keynote by Ben Sadeghipour, Jason Haddix, and Joseph Thacker highlights how AI can enhance hacking techniques and redefine pentesting workflows.
You Should Know:
1. AI-Powered Reconnaissance
AI tools like Burp Suite AI and Nmap Scripting Engine (NSE) can automate vulnerability discovery. Example commands:
nmap --script vuln -Pn <target_IP> burp -ai --target <URL> --scan-mode aggressive
2. Prompt Engineering for Exploitation
Crafting precise prompts for AI models (e.g., ChatGPT, Claude) can generate exploit code:
"Generate a Python script for SQL injection with error-based detection"
import requests
target = "http://example.com/login"
payload = "' OR 1=1 -- "
response = requests.post(target, data={"username": payload, "password": "test"})
print(response.text)
3. AI-Assisted Post-Exploitation
Use LLM-powered tools like PentestGPT for privilege escalation:
pentestgpt --task "Linux kernel exploit for CVE-2024-12345"
4. Automating Pentesting with AI
Integrate AI into Metasploit:
msfconsole -x "use auxiliary/scanner/http/ai_web_vuln; set RHOSTS <target>; run"
5. Defending Against AI-Driven Attacks
Monitor AI-generated attack patterns with Elasticsearch + AI Detector:
curl -XPOST 'http://localhost:9200/ai_threats/_search' -d '{"query": {"match": {"attack_type": "LLM_injection"}}}'
What Undercode Say:
AI is transforming cybersecurity, making attacks faster and defenses smarter. Mastering prompt engineering and AI-assisted tools will be essential for future pentesters. Key takeaways:
– Offensive AI: Automate exploits, bypass defenses, and scale attacks.
– Defensive AI: Detect anomalies, predict threats, and respond in real-time.
– Hybrid Skills: Combine hacking expertise with AI fluency.
Expected Output:
AI-Powered Pentest Workflow: 1. nmap --script ai-enum <target> 2. pentestgpt --task "XSS bypass for WAF" 3. msfconsole -x "use exploit/ai/phishing"
Prediction:
By 2026, 70% of pentests will incorporate AI-driven tools, reducing manual effort by 50% while increasing vulnerability detection rates.
For deeper insights, watch the NahamCon2025 Keynote.
IT/Security Reporter URL:
Reported By: Josephthacker Nahamcon2025 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
