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Introduction:
SOCRadar University has released an extensive set of 11 free Cyber Threat Intelligence (CTI) courses, covering fundamentals, advanced threat landscapes, AI-driven security, and ransomware defense. This initiative equips SOC analysts, IT professionals, and cybersecurity enthusiasts with hands-on knowledge ranging from dark web monitoring to generative AI tools—all accessible with a work email and a limited-time coupon code.
Learning Objectives:
- Understand and apply core Cyber Threat Intelligence concepts for SOC operations.
- Navigate the dark web safely and extract actionable intelligence using OSINT techniques.
- Leverage generative AI and machine learning models to automate threat detection and response.
You Should Know:
- Registering and Enrolling in SOCRadar University’s Free CTI Courses
To access all 11 courses, follow this step-by-step registration process. Use your corporate or educational email address—personal domains may be rejected.
Step‑by‑step guide:
- Navigate to the sign‑up page: https://lnkd.in/enKXM_Ww (expand to `https://university.socradar.com/` if needed).
- Click “Register” and enter your work email (e.g.,
[email protected]). Avoid Gmail/Yahoo. - Verify the email confirmation link sent to your inbox.
- Log in and go to the “Courses” catalog.
- For each course, use the coupon code SOCRadar_Uni_May_2026 at checkout.
- Complete enrollment for all 11 courses. Below are the direct enrollment links:
| Level | Course | Link |
|-|–||
| 1 | Cyber Threat Intelligence Fundamentals for SOC Analysts | https://lnkd.in/ervyaDC7 |
| 1 | Fundamentals of Dark Web | https://lnkd.in/eZHHzd5B |
| 1 | Dark Web Crash Course – Intelligence from the Underground | https://lnkd.in/eY9SKhjT |
| 2 | Mastering Cyber Threat Intelligence for SOC Analysts | https://lnkd.in/ehx72mTM |
| 2 | Mastering Cyber Threat Landscape | https://lnkd.in/erYr-8hy |
| 2 | Mastering GenAI Tools for SOC Analysts | https://lnkd.in/ehBVBki3 |
| 2 | Mastering Dark Web Intelligence for Cybersecurity Professionals | https://lnkd.in/eDr6zRcB |
| 3 | Mastering AI in Cybersecurity Vol. I | https://lnkd.in/eH6ueD3W |
| 3 | Mastering AI in Cybersecurity Vol. II | https://lnkd.in/ezWpr4VY |
| 3 | Mastering AI in Cybersecurity Vol. III | https://lnkd.in/efJ7RfaB |
| 3 | Ransomware Defense Masterclass | https://lnkd.in/etNpuPiq |
- Cyber Threat Intelligence Fundamentals – Practical OSINT Gathering
After completing the “Fundamentals” course, apply CTI techniques using open‑source intelligence (OSINT) tools. The following commands help collect indicators of compromise (IoCs) and threat data.
Step‑by‑step guide (Linux / Windows WSL):
- Extract subdomains and email addresses from a target domain (using
theHarvester):Install theHarvester (Kali Linux or via pip) sudo apt install theharvester -y theHarvester -d example.com -b all -f results.html
- Query Shodan for exposed services (requires API key):
Install Shodan CLI pip install shodan shodan init YOUR_API_KEY shodan search org:"Target Company" --fields ip_str,port,org
- Check URL reputation with VirusTotal API (Python example):
import requests url = "https://example.com/malware.exe" api_key = "YOUR_VT_API_KEY" response = requests.get(f"https://www.virustotal.com/api/v3/urls/{url}", headers={"x-apikey": api_key}) print(response.json())
- Mastering Dark Web Intelligence – Accessing .onion Sites Safely
The dark web courses teach how to monitor underground forums and marketplaces. Before diving in, set up a secure TOR environment.
Step‑by‑step guide (Linux / Windows with VirtualBox):
- Install TOR and Tails (or use TOR Browser on Windows):
Debian/Ubuntu sudo apt install tor torbrowser-launcher -y torbrowser-launcher
- Route all traffic through TOR using `proxychains` (Linux):
sudo apt install proxychains4 -y Edit /etc/proxychains4.conf: add "socks4 127.0.0.1 9050" echo "socks4 127.0.0.1 9050" | sudo tee -a /etc/proxychains4.conf proxychains4 curl http://checkip.amazonaws.com shows TOR exit node IP
- Discover dark web links via Ahmia.fi or `onion_search` tool:
git clone https://github.com/megadose/OnionSearch.git cd OnionSearch pip install -r requirements.txt python onion_search.py "breach forum"
-
Leveraging GenAI Tools for SOC Analysts – Automating Log Analysis
The “Mastering GenAI Tools for SOC Analysts” course shows how to use large language models (LLMs) for alert triage. Below is a Python script that uses OpenAI’s GPT to summarize security logs.
Step‑by‑step guide:
1. Obtain an OpenAI API key from platform.openai.com.
2. Install the OpenAI library:
pip install openai
3. Run the log summarizer (example with a sample firewall log):
import openai
openai.api_key = "YOUR_API_KEY"
log_entry = "2025-05-14 08:23:45, firewall, blocked outbound TCP 10.0.2.15:54321 -> 185.130.5.253:4444, flag S, rule 104"
response = openai.ChatCompletion.create(
model="gpt-4",
messages=[{"role": "user", "content": f"Explain this firewall log as a SOC analyst: {log_entry}"}]
)
print(response.choices[bash].message.content)
4. Automate threat enrichment: use the LLM to extract IoCs and suggest MITRE ATT&CK techniques.
- AI in Cybersecurity – Building a Simple ML-Based Phishing Detector
Volumes I–III of “Mastering AI in Cybersecurity” cover theory and implementation. Here is a minimal example of a machine learning model to classify URLs as phishing or legitimate.
Step‑by‑step guide (Python with scikit-learn):
1. Install dependencies:
pip install pandas scikit-learn requests
2. Train a Random Forest classifier using URL features (length, digit count, suspicious keywords):
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import train_test_split
Sample dataset (features: url_length, num_digits, contains_'login', label)
data = [[45, 3, 1, 1], [68, 0, 0, 0], [120, 8, 1, 1], [30, 2, 0, 0]]
df = pd.DataFrame(data, columns=['length','digits','has_login','label'])
X = df[['length','digits','has_login']]
y = df['label']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
clf = RandomForestClassifier()
clf.fit(X_train, y_train)
print("Accuracy:", clf.score(X_test, y_test))
3. Deploy as a API endpoint using Flask for real‑time SOC integration.
6. Ransomware Defense Masterclass – Incident Response Commands
The final course focuses on prevention, response, and recovery. Below are critical commands for detecting and mitigating ransomware on Windows and Linux.
Step‑by‑step guide (Windows – PowerShell as Administrator):
- Halt suspicious processes (e.g., wannacry behavior):
Get-Process | Where-Object {$_.ProcessName -match "ransom|encrypt|crypt"} | Stop-Process -Force - Disable SMBv1 (prevent EternalBlue exploitation):
Set-SmbServerConfiguration -EnableSMB1Protocol $false -Force
- Restore shadow copies (if not deleted):
vssadmin list shadows Mount and copy back: mklink /D C:\Restore \?\GLOBALROOT\Device\HarddiskVolumeShadowCopy1\
Step‑by‑step guide (Linux):
- Find recently modified encrypted files (common extensions):
find / -type f ( -name ".encrypted" -o -name ".crypt" ) -mtime -1 -ls
- Kill ransomware process by CPU spike:
ps aux --sort=-%cpu | head -10 | awk '{print $2}' | xargs kill -9 - Check for cron persistence:
crontab -l | grep -i "wget|curl|base64"
- Cloud Hardening and API Security for CTI Feeds
Although not explicitly listed, integrating threat intelligence often requires securing APIs. After completing the advanced CTI courses, harden your data feeds.
Step‑by‑step guide (using AWS CLI and JWT validation):
- Restrict API keys to specific IP ranges (AWS example):
aws apigateway update-stage --rest-api-id abc123 --stage-name prod --patch-operations op=add,path=/variables/ipWhitelist,value='203.0.113.0/24'
- Validate JWT tokens in Python before ingesting CTI data:
import jwt try: decoded = jwt.decode(token, "SECRET_KEY", algorithms=["HS256"]) except jwt.InvalidTokenError: print("Blocked malicious CTI feed request")
What Undercode Say:
- Key Takeaway 1: SOCRadar’s free bundle provides a rare, structured learning path from CTI basics to AI‑powered defense, eliminating cost barriers for aspiring analysts.
- Key Takeaway 2: Hands-on application of OSINT, dark web monitoring, and ransomware response commands bridges the gap between theoretical courses and real‑world incident handling.
The integration of generative AI and machine learning into SOC workflows is no longer optional. These courses, paired with the practical commands above, enable defenders to automate log analysis, detect phishing URLs, and extract actionable intelligence from underground sources. The coupon code SOCRadar_Uni_May_2026 is time‑limited—act fast. Remember that any dark web exploration must comply with your organization’s legal policies; use a dedicated, isolated VM.
Prediction:
Within 18 months, organizations will embed LLM‑based SOC co‑pilots as standard, reducing mean time to detect (MTTD) by 60%. Free CTI resources like this bundle will shift hiring requirements: entry‑level analysts will need demonstrable skills in AI tooling and dark web reconnaissance, not just certifications. SOCRadar’s move signals a trend where commercial threat intelligence vendors open‑source foundational training to grow the talent pool—but also to lock in future enterprise users. Expect more “free course + coupon” models followed by paid advanced labs.
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