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Introduction:
The cybersecurity industry faces a chronic shortage of skilled SOC analysts – professionals who can hit the ground running, investigate incidents end‑to‑end, and write detection rules without hand‑holding. A recent LinkedIn post described the ideal candidate: someone with 5 years of practical experience across SIEM, EDR, cloud (AWS/Azure), Cortex XDR, MITRE ATT&CK, SOAR, and OT security. This article reverse‑engineers that profile into a step‑by‑step training roadmap, complete with verified commands, configuration snippets, and lab exercises for Linux, Windows, and cloud environments.
Learning Objectives:
- Write MITRE ATT&CK‑mapped detection rules for Cortex XDR and open‑source SIEMs
- Conduct full‑cycle incident investigations across on‑premises and cloud assets (AWS, Azure)
- Automate security workflows using SOAR playbooks, Python scripts, and native Linux/Windows tools
You Should Know:
- Mastering MITRE ATT&CK for Cortex XDR Rule Writing
Step‑by‑step guide explaining what this does and how to use it.
Cortex XDR uses a rule engine that can consume MITRE ATT&CK mappings. To write a custom rule that detects persistence via scheduled tasks (T1053.005), you analyze a real attack chain, then translate it into XDR’s query syntax. Below is a simplified example of a detection rule logic – first as a pseudo‑query, then as a Linux auditd command to test locally.
Linux: Simulate a scheduled task persistence (attacker side) echo " /tmp/malware.sh" >> /etc/crontab Detection: Monitor crontab modifications using auditd auditctl -w /etc/crontab -p wa -k crontab_mod ausearch -k crontab_mod --format raw | aureport -f -i
For Windows, scheduled tasks can be logged via Sysmon Event ID 1 (process creation) and 106 (task created). Use PowerShell to extract relevant events:
Windows: Query Sysmon events for new scheduled tasks (EventID 106)
Get-WinEvent -FilterHashtable @{LogName='Microsoft-Windows-Sysmon/Operational'; ID=106} |
Select-Object TimeCreated, Message |
Where-Object { $_.Message -match "Task Content" }
To implement a production‑ready rule in Cortex XDR (or an open‑source like Sigma), use the following Sigma rule snippet (convertable to XDR via translation tools):
title: Suspicious Scheduled Task Creation status: experimental description: Detects creation of scheduled tasks via schtasks or at.exe logsource: product: windows service: sysmon detection: selection: EventID: 106 Image|endswith: '\schtasks.exe' condition: selection tags: - attack.persistence - attack.t1053.005
How to test: Set up a free Cortex XDR Simulator (or Elastic Stack with Sigma rules), inject a simulated scheduled task attack using Atomic Red Team, and verify the alert triggers. This exercise builds the exact skill mentioned in the post – “כתיבת חוקי ניטור חכמים ב‑Cortex XDR מבוססי MITRE ATT&CK”.
2. End‑to‑End Incident Investigation (On‑Prem & Cloud)
Step‑by‑step guide explaining what this does and how to use it.
A Tier‑2 SOC analyst must pivot across logs: SIEM (e.g., Splunk/QRadar), EDR (Cortex XDR), firewalls, WAF, and cloud trails. Below is a forced investigation scenario: a suspicious PowerShell process on an EC2 instance in AWS. You’ll collect evidence from Windows, Linux, and AWS CloudTrail.
Step 1: Isolate the host
Linux (on‑prem or cloud VM):
Block all outbound traffic except to SIEM sudo iptables -A OUTPUT -d <SIEM_IP> -j ACCEPT sudo iptables -A OUTPUT -j DROP
Windows (via PowerShell):
Enable built-in Windows Firewall and block outbound Set-NetFirewallProfile -All -Enabled True New-NetFirewallRule -DisplayName "BlockAllOutbound" -Direction Outbound -Action Block
Step 2: Collect volatile data
Linux:
Capture processes, network connections, and memory ps auxf > ps_snapshot.txt ss -tunap > net_snapshot.txt sudo dd if=/proc/kcore of=/tmp/memory.lime bs=1M
Windows:
Use built-in tools and Sysinternals Get-Process | Export-Csv processes.csv netstat -nao > netstat.txt .\autorunsc64.exe -a -c -h > autoruns.csv
Step 3: Cloud investigation (AWS)
Using AWS CLI, query CloudTrail for API calls from the compromised instance’s role:
aws cloudtrail lookup-events --lookup-attributes AttributeKey=ResourceName,AttributeValue=i-0abcd1234efgh5678 \ --start-time "2025-04-29T00:00:00Z" --end-time "2025-04-30T23:59:59Z" --query 'Events[?contains(CloudTrailEvent, <code>\"sourceIPAddress\"</code>)]'
Look for `AssumeRole` or `CreateAccessKey` – indicators of lateral movement to the cloud control plane. This directly answers the SOC requirement: “תחקור אירועי אבטחה מקצה לקצה (E2E) – On-Pre ו‑Cloud”.
3. Automating SOC Workflows with SOAR and Playbooks
Step‑by‑step guide explaining what this does and how to use it.
The post highlights “הובלת אוטומציה ותהליכים – Playbooks, SOAR”. Using open‑source SOAR (e.g., Shuffle or TheHive/Cortex), you can automate phishing triage. Below is a Python script that queries a SIEM, extracts indicators, and enriches them via VirusTotal.
import requests
import json
Simulate fetching recent alerts from SIEM (Elasticsearch example)
def fetch_alerts():
es_url = "http://localhost:9200/siem_alerts/_search"
query = {"query": {"match": {"rule_name": "Suspicious PowerShell"}}}
response = requests.get(es_url, json=query)
return response.json()['hits']['hits']
Enrich with VirusTotal
def vt_lookup(hash_value):
api_key = "YOUR_VT_API_KEY"
url = f"https://www.virustotal.com/api/v3/files/{hash_value}"
headers = {"x-apikey": api_key}
resp = requests.get(url, headers=headers)
return resp.json()
Automation playbook logic
for alert in fetch_alerts():
indicator = alert['_source']['file.hash']
vt_result = vt_lookup(indicator)
if vt_result['data']['attributes']['last_analysis_stats']['malicious'] > 3:
Trigger automatic block on firewall or EDR
print(f"Blocking {indicator}")
Example: Call Cortex XDR API to add to block list
requests.post("https://api-cortex.xdr.com/public/v1/endpoints/blocklist", json={"sha256": indicator})
Windows automation via PowerShell:
Use Invoke-RestMethod to orchestrate SIEM and SOAR:
$alerts = Invoke-RestMethod -Uri "http://siem.local/api/alerts?status=open"
foreach ($alert in $alerts) {
if ($alert.severity -eq "high") {
$body = @{ticket_id = $alert.id; action = "isolate"} | ConvertTo-Json
Invoke-RestMethod -Method Post -Uri "http://soar.local/api/playbooks/run" -Body $body -ContentType "application/json"
}
}
Linux bash alternative with `jq` and `curl`:
curl -s "http://siem.local/api/alerts" | jq '.[] | select(.severity=="high") | .id' | while read id; do
curl -X POST http://soar.local/playbook/isolate -d "{\"alert_id\":$id}" -H "Content-Type: application/json"
done
This level of scripting is exactly what the post means by “לא מחכה שיגידו לו מה לעשות” – proactive automation.
- Cloud Security Hardening (AWS & Azure) – Proactive Defence
Step‑by‑step guide explaining what this does and how to use it.
A senior SOC analyst doesn’t just react; they harden cloud environments. Based on the “Cloud Security” requirement, here are two critical commands/configs to reduce attack surface.
AWS: Enforce IMDSv2 to prevent SSRF token theft
Set IMDSv2 on an existing instance (requires instance ID) aws ec2 modify-instance-metadata-options \ --instance-id i-1234567890abcdef0 \ --http-tokens required \ --http-endpoint enabled
Azure: Enable just‑in‑time (JIT) VM access to block lateral movement
Via Azure CLI:
az vm update --resource-group myRG --name myVM --set jitPolicy='{"enabled":true,"maxRequestAccessDuration":"PT3H"}'
Linux check for exposed cloud metadata (from attacker perspective):
Test if IMDSv1 is accessible – if returns token, you have a misconfiguration curl http://169.254.169.254/latest/meta-data/iam/security-credentials/
Windows mitigation: Disable WPAD and LLMNR to prevent credential relay (common cloud pivot):
Disable LLMNR via Group Policy or registry Set-ItemProperty -Path "HKLM:\Software\Policies\Microsoft\Windows NT\DNSClient" -Name "EnableMulticast" -Value 0 -Type DWord
These practical commands equip an analyst to perform the “Cloud Security” part of the job description.
- Vulnerability Exploitation & Mitigation (Web App & Network)
Step‑by‑step guide explaining what this does and how to use it.
The post mentions WAF, IPS, and “ראה כמעט כל תרחיש אפשרי”. Understanding exploitation helps you write better rules. We will simulate a SQL injection attack and then show how to block it with ModSecurity WAF and IPS signatures.
Attacker view (Linux – using sqlmap):
sqlmap -u "http://target.com/page?id=1" --dbs --batch
Mitigation – ModSecurity rule (CRS 942100 – SQL injection detection):
SecRule ARGS "(?i:\bselect\b.+\bfrom\b)" \ "id:942100,phase:2,deny,status:403,msg:'SQL Injection Detected'"
IPS signature for Snort/Suricata (detect SQLi over HTTP):
alert tcp $HOME_NET any -> $EXTERNAL_NET $HTTP_PORTS (msg:"SQLi - SELECT FROM"; flow:to_server; content:"SELECT"; nocase; content:"FROM"; nocase; distance:0; pcre:"/select\s+.+\s+from/i"; sid:1000001; rev:1;)
Windows command to test WAF bypass attempts (curl from PowerShell):
curl.exe -X GET "http://vuln-app.com/page?id=1' UNION SELECT username,password FROM users--"
A SOC analyst who can simulate this and tune the WAF/IPS rules is worth their weight in gold – exactly the “5 years of experience” the post describes.
What Undercode Say:
- Hands‑on automation separates Tier‑1 from Tier‑2. The post repeatedly emphasizes “לא מחכה שיגידו לו מה לעשות” – the ideal analyst writes scripts and playbooks, not just clicks buttons.
- Cloud and on‑prem skills are no longer optional. With hybrid environments being the norm, commands like `aws cloudtrail lookup-events` and Azure CLI hardening are mandatory for any SOC role today.
Prediction:
Within 18 months, SOC teams will shift from manual investigation to AI‑augmented playbooks that auto‑isolate and remediate. The “Dor” profile – combining deep MITRE knowledge, cloud forensics, and SOAR scripting – will become the baseline for Tier‑2 roles, while traditional “alert triagers” will be fully automated. Start building these skills now or risk obsolescence.
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