Listen to this Post
Introduction:
The journey from raw data to actionable security intelligence mirrors the discipline of a 100‑day data challenge. Just as Gabriel Marvellous transformed confusion into SQL mastery and Excel logic, cybersecurity professionals must systematically build skills in log analysis, threat hunting, and defensive scripting. This article translates that proven consistency model into a 100‑day cybersecurity roadmap, complete with command‑line drills, SIEM queries, and cloud hardening techniques—because defending networks begins with understanding data flows.
Learning Objectives:
- Apply structured query language (SQL) and command‑line tools to detect anomalous events in Windows and Linux environments.
- Build reusable Python and PowerShell scripts for automated log parsing, alerting, and incident triage.
- Harden cloud assets (AWS/Azure) and on‑premise systems using benchmarked configuration guides and vulnerability mitigation steps.
You Should Know:
- Foundation Week 1‑10: Security Data Mindset & Log Fundamentals
Extended from the post: Understanding data analysis means asking the right questions. In cybersecurity, every packet, process creation, and authentication attempt is a data point. Start by thinking like an attacker: “What would I hide? Where would I pivot?” Then learn how logs capture those actions.
Step‑by‑step guide – Log harvesting with native tools:
- Linux (journald & rsyslog): View real‑time authentication logs – `sudo journalctl -u ssh -f`
- Windows (Event Viewer via PowerShell): Get failed logons – `Get-WinEvent -FilterHashtable @{LogName=’Security’; ID=4625}`
- Centralise logs: Install `syslog-ng` on Linux and configure Windows Event Forwarding.
- Command drill: Count unique attack source IPs – `sudo cat /var/log/auth.log | grep “Failed password” | awk ‘{print $11}’ | sort | uniq -c | sort -nr`
- Week 10‑30: Excel for Security – Pivot Tables & Threat Hunting
Extended from the post: Excel isn’t just for business dashboards. Analysts use it to correlate CSV exports from firewalls, IDS, and endpoint detection. Learn to spot outliers using conditional formatting and pivot summaries.
Step‑by‑step guide – Analysing Nmap scan results in Excel:
– Run `nmap -sV -oG scan.gnmap 192.168.1.0/24` then convert `.gnmap` to CSV using awk.
– Import CSV into Excel → Insert PivotTable → rows = “port”, values = “count of open ports”.
– Use `=COUNTIFS()` to find non‑standard services (e.g., port 4444 – Metasploit default).
– Windows PowerShell alternative: `Get-NetTCPConnection | Group-Object LocalPort | Sort-Object Count -Descending`
3. Week 30‑90: SQL for Security – SIEM Queries & Detection Engineering
Extended from the post: SQL structures data, and SIEMs (Splunk, Elastic, Sentinel) use query languages that mirror SQL. Learn `SELECT` against logs, `JOIN` identity tables with network flows, and `GROUP BY` to aggregate anomalies.
Step‑by‑step guide – Detecting brute force with Splunk (SPL) or Elastic (ES|QL):
– Elastic Query: `SELECT source.ip, COUNT() AS failures FROM winlogbeat- WHERE event.code = 4625 GROUP BY source.ip HAVING failures > 10`
– Linux command translation: `sudo grep “Failed password” /var/log/auth.log | cut -d’ ‘ -f11 | sort | uniq -c | sort -nr | head -5`
– Build a detection rule: threshold 10 failures per source IP in 5 minutes.
– Windows security log via TSQL (if using SQL server audit): `SELECT
, COUNT() FROM dbo.security_events WHERE event_type = 'LOGIN_FAILED' GROUP BY [bash] HAVING COUNT() > 10`
4. Week 90‑100: Automation & API Security – Python + PowerShell for Response
Extended from the post: Clarity comes from automating the repetitive. Write scripts that fetch indicators of compromise (IOCs) from threat feeds, query your SIEM API, and trigger firewall blocks.
<h2 style="color: yellow;">Step‑by‑step guide – API‑driven IOC enrichment:</h2>
<ul>
<li>Get free API key from VirusTotal. </li>
<li>Python script to check hashes (save as <code>check_ioc.py</code>):
[bash]
import requests, sys
hash = sys.argv[bash]
url = f"https://www.virustotal.com/api/v3/files/{hash}"
headers = {"x-apikey": "YOUR_API_KEY"}
response = requests.get(url, headers=headers).json()
print(response.get("data", {}).get("attributes", {}).get("last_analysis_stats"))
$hash = "44d88612fea8a8f36de82e1278abb02f"
$headers = @{"x-apikey" = "YOUR_API_KEY"}
Invoke-RestMethod -Uri "https://www.virustotal.com/api/v3/files/$hash" -Headers $headers
- Cloud Hardening – From IAM Misconfigurations to Container Drift
Step‑by‑step guide – AWS CIS benchmark checks (CLI & Scout Suite):
– Install `awscli` and configure with aws configure.
– Run `aws iam get-account-summary` – check for unused access keys.
– Install Scout Suite: pip install scoutsuite, then scout aws --report-dir ./scout-report.
– Review HTML report for “S3 buckets with public ACLs” and “Security groups with 0.0.0.0/0 to SSH”.
– Remediation command: `aws s3api put-bucket-acl –bucket my-bucket –acl private`
6. Vulnerability Exploitation & Mitigation – Hands‑on with Metasploit & Windows Defender
Step‑by‑step guide – Simulate EternalBlue (MS17‑010) in isolated lab:
– Attacker (Kali Linux): msfconsole -q, use exploit/windows/smb/ms17_010_eternalblue, set RHOSTS 192.168.10.50, run.
– Defender (Windows 10): Check patch status – Get-HotFix | Where-Object {$_.HotFixID -eq "KB4012212"}.
– If missing, download from Microsoft Update Catalog and install.
– Verify mitigation: repeat exploit → should fail.
– Enable Windows Defender Firewall: `New-NetFirewallRule -DisplayName “Block SMB” -Direction Inbound -Protocol TCP -LocalPort 445 -Action Block`
7. Training Courses & Certification Roadmap (100‑Day Aligned)
Step‑by‑step – Build your own 100‑day cyber curriculum
- Days 1‑30: Google Cybersecurity Certificate (Coursera) – focus on SIEM, Linux, SQL.
- Days 31‑60: TryHackMe “Pre‑Security” + “Cyber Defense” paths (free rooms: VulnNet, Wireshark).
- Days 61‑90: Blue Team Level 1 (BTL1) – live incident response simulations.
- Days 91‑100: Build a home lab (VirtualBox + Security Onion + ELK stack).
- Daily command challenge: `cat ~/cyber_journal.md | wc -l` – track commands learned.
What Undercode Say:
- Consistency in running one command or writing one query daily outperforms sporadic marathon study sessions – security is a compounding skill.
- The same data‑analysis discipline that Gabriel applied to Excel and SQL directly translates to hunting attackers in event logs, netflows, and cloud trails.
This 100‑day blueprint proves that you don’t need a formal degree or 58 certifications to start defending networks. What you need is structured repetition – today, `grep` for anomalies; tomorrow, write a Sigma rule; by day 100, you’ll automate incident response. The post’s emphasis on “progress over perfection” is the missing layer in most cyber training. Every failed SQL JOIN or misconfigured firewall rule is a lesson logged. Embrace the quiet compounding of technical grit.
Prediction:
As AI‑generated attacks increase, entry‑level data analysis will merge entirely with security operations. By 2027, most SOC analyst interviews will include a live 30‑minute SQL‑on‑logs test and a Python reformatting task – the same skills outlined in this 100‑day model. Organisations will shift from degree requirements to verified consistency badges (e.g., 100‑day GitHub commit histories of detection rules). The future defender is not a wizard; they are a methodical, data‑driven finisher.
▶️ Related Video (72% Match):
🎯Let’s Practice For Free:
IT/Security Reporter URL:
Reported By: Gabriel Marvellous – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
