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Thomas Roccia’s cybersecurity book has achieved a remarkable milestone with 100+ Amazon reviews (4.6/5) and 4.4/5 on Goodreads. While the post celebrates this achievement, let’s extract actionable cybersecurity insights and commands inspired by his work.
You Should Know:
1. Threat Hunting with PowerShell
PowerShell is critical for analyzing Windows logs. Use these commands to detect suspicious activity:
Extract failed login attempts from Event Logs Get-WinEvent -FilterHashtable @{LogName='Security'; ID=4625} -MaxEvents 10 Check for unusual process executions Get-Process | Where-Object { $_.CPU -gt 90 } | Format-Table -AutoSize
2. Linux Forensics with CLI
For incident response on Linux, these commands help:
Check active network connections netstat -tuln Search for hidden files (common in malware) find / -type f -name "." -exec ls -la {} \; Analyze suspicious cron jobs crontab -l
3. Microsoft Azure Security (Thomas’s Expertise)
As a Microsoft researcher, Thomas likely covers Azure security. Try these `az cli` commands:
List all Azure AD users with admin roles az ad user list --query "[?contains(assignedRoles, 'Admin')].{Name:displayName, Email:mail}" Check suspicious sign-ins az monitor activity-log list --query "[?operationName.value=='Microsoft.Security/locations/alerts/activate/action']"
4. Automating Security with Python
Python scripts can enhance threat detection:
import os Scan for large files (potential exfil) for root, dirs, files in os.walk("/"): for file in files: path = os.path.join(root, file) if os.path.getsize(path) > 100000000: 100MB+ print(f"Large file: {path}")
What Undercode Say:
Thomas’s success highlights the demand for practical cybersecurity knowledge. To replicate his expertise:
– Practice Log Analysis: Use `journalctl` (Linux) or `Get-WinEvent` (Windows).
– Monitor Azure: Leverage `az security` commands for cloud threats.
– Automate Hunts: Combine Python + CLI for scalable detection.
Prediction:
More cybersecurity professionals will publish niche, hands-on guides like Thomas’s, bridging theory and real-world threats.
Expected Output:
1. PowerShell logs analyzed. 2. Linux hidden files scanned. 3. Azure suspicious logins detected. 4. Python script executed for large files.
(No direct URLs extracted—focus on commands and concepts.)
References:
Reported By: Thomas Roccia – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅