Listen to this Post
In this episode of Adventures of Alice and Bob, cybersecurity expert Brian K. shares his journey from the U.S. Army to becoming a threat intelligence professional. He discusses his legendary phishing operation at Dell SecureWorks, which achieved a staggering 50% click rate by accurately predicting an IPO years in advance. Brian also explores how vulnerability management can hinder business operations and how design thinking can revolutionize threat intelligence.
Listen to the full episode here: BeyondTrust Podcast
You Should Know:
Phishing Simulation & Threat Intelligence Techniques
1. Setting Up a Phishing Campaign (Linux/Windows Tools)
- Use GoPhish (Open-Source Phishing Framework):
git clone https://github.com/gophish/gophish.git cd gophish go build ./gophish
- Configure SMTP (e.g., Postfix or Sendmail) for email delivery.
2. Analyzing Click Rates with Python
import pandas as pd
phishing_data = pd.read_csv('phishing_results.csv')
click_rate = (phishing_data['clicks'].sum() / phishing_data['emails_sent'].sum()) 100
print(f"Phishing Click Rate: {click_rate:.2f}%")
3. Threat Intelligence Gathering (Linux CLI)
- Use MISP (Malware Information Sharing Platform):
sudo apt install misp sudo misp-init
- Fetch threat feeds via OTX (AlienVault):
curl -s https://otx.alienvault.com/api/v1/pulses/subscribed -H "X-OTX-API-KEY: YOUR_API_KEY"
4. Vulnerability Scanning with Nessus
nessuscli fetch --register <YOUR_ACTIVATION_CODE> systemctl start nessusd
5. Design Thinking for Threat Modeling
- Use Microsoft Threat Modeling Tool (Windows):
Invoke-WebRequest -Uri "https://aka.ms/threatmodelingtool" -OutFile "threatmodeler.exe"
What Undercode Say:
Brian’s insights highlight the importance of proactive threat intelligence and social engineering awareness. His phishing operation success underscores the need for continuous employee training.
Key Commands & Tools Recap:
- GoPhish for phishing simulations.
- MISP for threat intel sharing.
- OTX API for pulse monitoring.
- Nessus for vulnerability assessments.
- Python/Pandas for click-rate analytics.
Expected Output:
A well-structured phishing report with:
- Click rates (e.g.,
50%). - Vulnerabilities detected (e.g.,
CVE-2023-1234). - Threat intelligence indicators (e.g.,
malicious IPs, domains).
For further learning, visit: BeyondTrust Podcast.
References:
Reported By: Brianpkime Adventuresofaliceandbob – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
