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Introduction:
Many aspiring security professionals stack certifications like Security+ and CySA+ only to discover that employers demand proof of practical threat detection and incident response. Theory alone cannot simulate the pressure of investigating live alerts, correlating logs, or documenting a real breach. The ten hands-on projects outlined below—ranging from SIEM deployment to phishing analysis—bridge that gap, giving you demonstrable evidence that you can perform the daily tasks of a SOC analyst.
Learning Objectives:
- Build and configure a SIEM (Splunk or ELK) to ingest, search, and alert on security logs.
- Execute a simulated phishing campaign and conduct full incident response documentation.
- Deploy intrusion detection systems (Snort/Suricata) and analyze packet captures for malicious patterns.
- Automate SOC workflows using Python or PowerShell scripts to enrich indicators of compromise (IOCs).
You Should Know:
- SIEM Log Monitoring with ELK Stack on Ubuntu 22.04
A SIEM aggregates logs from firewalls, endpoints, and servers, enabling real-time threat detection. The ELK stack (Elasticsearch, Logstash, Kibana) is a free, open-source alternative to Splunk. Below is a step‑by‑step setup on a Linux VM.
Step-by-step guide:
- Update system and install Java (required for Elasticsearch):
`sudo apt update && sudo apt install openjdk-11-jdk -y`
– Import Elasticsearch GPG key and install:
`wget -qO – https://artifacts.elastic.co/GPG-KEY-elasticsearch | sudo apt-key add -`
`sudo apt install elasticsearch -y`
- Start Elasticsearch and enable on boot:
`sudo systemctl start elasticsearch && sudo systemctl enable elasticsearch`
– Install Logstash and Kibana similarly, then configure Logstash to ingest syslog:
`sudo nano /etc/logstash/conf.d/syslog.conf` – add input (beats) and output (elasticsearch) sections. - Install Filebeat on a test endpoint to forward Windows Event Logs:
Download Filebeat from Elastic, edit `filebeat.yml` to point to Elasticsearch, run `sudo filebeat setup` andsudo filebeat start. - Access Kibana at `http://
:5601` and build dashboards for failed logins or suspicious process creations.
- Simulated Phishing Attack & Incident Response with GoPhish
Understanding how users fall for phishing and how to respond is core SOC work. GoPhish is an open‑source phishing framework.
Step-by-step guide:
- Install GoPhish on a Linux VM: download from GitHub, unzip, and run
./gophish. Access web UI at `https://:3333` (default credentials: admin/gophish). - Create a phishing campaign: clone a login page (e.g., Outlook), configure an SMTP server (use a test mail service like Mailtrap), and import target email addresses.
- Launch the campaign and monitor results (opens, clicks, credentials submitted).
- As incident response: collect affected machine logs (Windows Event ID 4624 for logins), run a script to quarantine the user’s mailbox (PowerShell:
Set-Mailbox -Identity [email protected] -AccountDisabled $true), and write a post‑incident report including timeline and user training recommendations.
- IDS Deployment & Packet Analysis with Snort on Linux
Snort detects malicious traffic by matching signatures. This project teaches you to write custom rules and analyse PCAPs.
Step-by-step guide:
- Install Snort:
sudo apt install snort -y. During setup, define your home network (e.g.,192.168.1.0/24). - Test Snort in sniffer mode: `sudo snort -v -i eth0` (captures packet headers).
- Write a custom rule to alert on inbound SSH attempts: edit `/etc/snort/rules/local.rules` and add:
`alert tcp $EXTERNAL_NET any -> $HOME_NET 22 (msg:”SSH connection detected”; sid:1000001; rev:1;)`
– Run Snort in IDS mode: `sudo snort -A console -q -c /etc/snort/snort.conf -i eth0`
– Analyse a PCAP from MalwareTrafficAnalysis.net: `snort -r suspicious.pcap -c /etc/snort/snort.conf -A fast` to generate alerts. Use `tshark -r suspicious.pcap -Y “tcp.port==22″` to filter SSH packets.
- Cloud Log Monitoring Using AWS CloudTrail and Azure Defender
Cloud breaches often go undetected because analysts don’t know cloud audit logs. CloudTrail records every API call; Azure Defender provides security alerts.
Step-by-step guide (AWS):
- Create a free AWS account and enable CloudTrail in the us-east-1 region (creates a trail that logs management events).
- Use AWS CLI to search for anomalous actions:
`aws cloudtrail lookup-events –lookup-attributes AttributeKey=EventName,AttributeValue=DeleteTrail –region us-east-1`
- Simulate a credential leak by creating an IAM user with a compromised key, then run `aws ec2 describe-instances` from a different IP.
- In CloudTrail Event History, filter by `userIdentity.sessionContext.sourceIp` to find the anomalous IP.
- For Azure Defender: enable Defender for Cloud on a trial subscription, deploy a test VM, then attempt to disable antivirus via PowerShell (logs appear in “Security alerts” within 30 minutes).
- Endpoint Monitoring with Sysmon + Wazuh on Windows
Sysmon (System Monitor) logs process creation, network connections, and file changes. Wazuh is an open‑source XDR that integrates with Sysmon.
Step-by-step guide:
- Download Sysmon from Microsoft, then install with a standard configuration:
`Sysmon64.exe -accepteula -i sysmonconfig.xml` (get config from SwiftOnSecurity’s GitHub). - Verify logs in Event Viewer under “Applications and Services Logs/Microsoft/Windows/Sysmon/Operational”.
- Install Wazuh agent on Windows: download from wazuh.com, point to your Wazuh server (can be a free cloud trial). The agent automatically forwards Sysmon events.
- In Wazuh dashboard, create a rule to detect `whoami.exe` execution (often used after privilege escalation).
- Test by running `whoami` on the endpoint; the alert should appear within seconds.
- Threat Hunting in Real Datasets with Zeek Logs
Zeek (formerly Bro) is a network analysis framework. Using public PCAPs (e.g., from SECOMS or Malware Capture Facility), you can generate Zeek logs and hunt for anomalies.
Step-by-step guide:
- Install Zeek: `sudo apt install zeek -y` (on Ubuntu). Add Zeek to PATH.
- Convert a PCAP to Zeek logs: `zeek -r malware.pcap` – this generates
conn.log,http.log,dns.log. - Use `jq` (JSON processor) to hunt for long‑duration connections:
`cat conn.log | zeek-cut duration | sort -n | tail -10` (requires `zeek-cut` from the Zeek package). - For DNS tunneling detection: search for subdomains longer than 30 characters:
`cat dns.log | zeek-cut query | awk ‘length($0) > 30’`
– Write a simple hunting hypothesis: “Attackers often query rarely seen domains.” Use `cut` and `sort | uniq -c` to count unique DNS queries.
7. Python SOC Automation Script to Enrich IOCs
Automation reduces mean time to respond. Write a Python script that takes a list of IP addresses, queries VirusTotal’s API, and returns malicious verdicts.
Step-by-step guide:
- Get a free VirusTotal API key (limited to 500 requests/day).
- Install requests library: `pip install requests`
– Python script (save asioc_enrich.py):import requests import sys</li> </ul> API_KEY = "your_api_key_here" url = "https://www.virustotal.com/api/v3/ip_addresses/" def check_ip(ip): headers = {"x-apikey": API_KEY} response = requests.get(url + ip, headers=headers) if response.status_code == 200: data = response.json() malicious = data['data']['attributes']['last_analysis_stats']['malicious'] print(f"IP {ip}: {malicious} malicious reports") else: print(f"Error: {response.status_code}") if <strong>name</strong> == "<strong>main</strong>": for line in sys.stdin: ip = line.strip() if ip: check_ip(ip)– Run: `echo “8.8.8.8” | python ioc_enrich.py` – replace with a known malicious IP from threat feeds.
What Undercode Say:
- Theory‑only learning will not pass a SOC technical interview; hiring managers demand live demonstration of log analysis, rule writing, and incident documentation. The ten projects listed transform passive knowledge into active, verifiable skill.
- Combining open‑source tools (ELK, Snort, Wazuh, Zeek) with cloud services (AWS CloudTrail, Azure Defender) mirrors real enterprise environments where hybrid architectures are the norm. Mastering both reduces your learning curve on the job.
Prediction:
As SOC teams adopt SOAR platforms and AI‑driven alert triage, entry‑level roles will require even more automation and scripting ability. However, the fundamental need for analysts who can manually hunt threats and validate false positives will not disappear—it will become a differentiator. Candidates who showcase projects like Python IOC enrichment and custom Snort rules will outcompete those who only hold certifications, because they prove they can adapt when automated tools fail. Expect future SOC interviews to replace “What is a SIEM?” with “Show me your Kibana dashboard from a real attack.”
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