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Introduction:
In the modern cybersecurity operations center, two roles form the critical backbone of organizational defense: the Security Operations Center (SOC) Analyst and the Threat Hunter. While SOC Analysts function as digital watchtowers, monitoring real-time alerts from security information and event management (SIEM) systems, Threat Hunters act as proactive scouts, venturing beyond automated detections to uncover sophisticated threats that evade conventional security tools. Understanding the technical skills, tools, and methodologies that distinguish these roles is essential for building a resilient security posture.
Learning Objectives:
- Differentiate between the reactive monitoring functions of a SOC Analyst and the proactive hunting methodologies of a Threat Hunter.
- Master essential commands and techniques for log analysis, endpoint investigation, and network monitoring across both disciplines.
- Develop practical skills for using SIEM platforms, EDR tools, and the MITRE ATT&CK framework to detect and investigate malicious activity.
You Should Know:
1. SIEM Query Fundamentals for Alert Triage
A SOC Analyst’s primary tool is the SIEM. Effective querying is crucial for initial alert triage and investigation.
Splunk Query for Failed Logons from Multiple IPs (Potential Brute Force)
index=windows_security EventCode=4625
| stats count values(Source_Network_Address) by Account_Name
| where count > 10
Chronicle YARA-L Rule for Suspicious Process Execution
rule suspicious_svchost {
meta:
author = "SOC"
description = "Detects svchost spawning unusual processes"
events:
$event.metadata.event_type = "PROCESS_LAUNCH"
$event.target.process.file.full_path = /.svchost.exe/
$event.target.process.command_line = /.(cmd|powershell|whoami)./
condition:
$event
}
Step-by-step guide: The Splunk query searches Windows security logs for event ID 4625 (failed logon). It then counts these failures per user account and filters for accounts with more than 10 failures, a potential indicator of a brute-force attack. The Chronicle rule uses YARA-L syntax to detect a `svchost.exe` process, a common Windows system file, executing suspicious command-line tools like `cmd` or whoami, which could indicate process injection or living-off-the-land binary (LOLBin) abuse.
2. Endpoint Investigation with EDR Commands
Threat Hunters rely heavily on Endpoint Detection and Response (EDR) platforms to dig deep into host activity.
CrowdStrike RTR Command - Get Process List ps CrowdStrike RTR Command - Get Network Connections netstat SentinelOne Deep Visibility Query SELECT FROM process WHERE subsystem = 'windows' AND is_redirected_command_processor = TRUE
Step-by-step guide: These commands are executed directly on endpoints via the EDR’s remote terminal. `ps` lists all running processes, helping to identify malicious executables. `netstat` shows active network connections, revealing potential command-and-control (C2) communication. The SentinelOne query uses its deep visibility data to find processes where the command processor is redirected, a common technique used by fileless malware and scripting attacks.
3. Windows Forensic Analysis for Incident Response
When an alert is escalated, Tier 2/3 SOC Analysts and Threat Hunters perform detailed forensic analysis.
Check for Persistence via Registry & Scheduled Tasks reg query "HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Run" reg query "HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\RunOnce" schtasks /query /fo LIST /v Analyze Prefetch Files for Execution History dir C:\Windows\Prefetch.pf | findstr /i "malware.exe" Dump Process Memory for Malware Analysis (Using ProcDump) procdump -ma <suspicious_pid> C:\evidence\memory_dump.dmp
Step-by-step guide: The `reg query` commands inspect common Auto-Start Extensibility Points (ASEPs) in the Windows Registry for persistence mechanisms. Querying scheduled tasks with `schtasks` can reveal tasks set up by an attacker for persistence or lateral movement. Checking Prefetch files helps establish a timeline of program execution. Finally, `procdump` from the Sysinternals suite is used to capture the memory of a suspicious process for later static or dynamic malware analysis.
4. Linux Server Hunting for Compromise Indicators
Threat Hunters must be equally proficient in investigating Linux-based systems for signs of intrusion.
Check for Unauthorized User Accounts & Privilege Escalation
cat /etc/passwd | grep -E ":/bin/(bash|sh)"
sudo grep -E '^%' /etc/sudoers
find / -uid 0 -perm -4000 2>/dev/null Find SUID binaries
Investigate Network Connections & Listening Services
ss -tulnpan
lsof -i -P | grep LISTEN
Hunt for Rootkits & Hidden Processes
lsmod | grep -E "(rootkit|hid)"
ps aux | awk '{print $2}' | while read pid; do [ ! -d /proc/$pid ] && echo "Hidden PID: $pid"; done
Step-by-step guide: These commands help identify common attack vectors on Linux. Checking `/etc/passwd` and `/etc/sudoers` reveals user accounts and sudo privileges. The `find` command locates SUID binaries, which could be exploited for privilege escalation. `ss` and `lsof` provide a comprehensive view of network services and connections. The final commands check for loaded kernel modules (lsmod) that might be rootkits and a clever ps/proc comparison that can reveal processes hidden by userland rootkits.
5. Leveraging MITRE ATT&CK for Hypothesis-Driven Hunting
Threat Hunting is a proactive process guided by hypotheses based on known adversary behaviors.
Hypothesis: Adversary is using WMI for Lateral Movement (T1047) Log Source: Windows Security Events Query: Detect WMI Remote Process Creation EventCode=4688 New_Process_Name = "wmiprvse.exe" Parent_Process_Name = "scrcons.exe" OR Process_Command_Line = "-namespace" Hypothesis: Credential Dumping via LSASS (T1003.001) Data Source: EDR/Sysmon Query: Detect LSASS Access via Unusual Processes SourceImage="C:\Windows\system32\lsass.exe" TargetImage="C:\temp\Mimikatz.exe" OR CallTrace="sekurlsa" OR GrantedAccess="0x1010" OR "0x1410"
Step-by-step guide: This represents the core of threat hunting. The hunter formulates a hypothesis, such as “An attacker is using WMI for lateral movement.” They then translate the corresponding MITRE ATT&CK technique (T1047) into a detectable pattern. The first query looks for the WMI provider process (wmiprvse.exe) being spawned by a suspicious parent or with suspicious command-line arguments. The second hypothesis targets credential dumping by looking for processes like Mimikatz interacting with the LSASS process memory, using specific access rights (0x1010 = `PROCESS_VM_READ` | PROCESS_QUERY_INFORMATION).
6. Cloud Security Monitoring in AWS
With the shift to cloud, both roles must monitor cloud trails and configurations.
AWS CLI - Check for Publicly Accessible S3 Buckets aws s3api list-buckets --query "Buckets[].Name" aws s3api get-bucket-acl --bucket <bucket-name> aws s3api get-bucket-policy-status --bucket <bucket-name> --query "PolicyStatus.IsPublic" Analyze CloudTrail Logs for Unusual API Activity Use JQ to filter CloudTrail JSON for 'ConsoleLogin' failures cat cloudtrail.json | jq '.Records[] | select(.eventName=="ConsoleLogin" and .errorMessage != null)' Check for Security Group Misconfigurations aws ec2 describe-security-groups --filters "Name=ip-permission.cidr,Values=0.0.0.0/0" --query "SecurityGroups[].[GroupId,GroupName]"
Step-by-step guide: These commands are vital for cloud security posture management. The `aws s3api` commands list all S3 buckets and then check their access control lists (ACL) and policy status to identify misconfigured, publicly readable buckets—a common source of data breaches. The `jq` command parses AWS CloudTrail logs to find failed console logins, which could indicate a brute-force attempt. The final command lists all security groups with a rule allowing inbound traffic from anywhere (0.0.0.0/0), which is often unnecessarily permissive.
7. API Security Testing for AppSec Overlap
Modern SOCs and Hunters must understand application-level threats, particularly against APIs.
Using curl to Test for Common API Vulnerabilities
1. Broken Object Level Authorization (BOLA)
curl -H "Authorization: Bearer $TOKEN" https://api.target.com/v1/users/123
curl -H "Authorization: Bearer $TOKEN" https://api.target.com/v1/users/456
<ol>
<li>Testing for Excessive Data Exposure
curl -H "Authorization: Bearer $TOKEN" https://api.target.com/v1/me | jq '.'</p></li>
<li><p>Injecting SQLi in JSON Payloads
curl -X POST https://api.target.com/v1/login -H "Content-Type: application/json" -d '{"username":"admin'\"'--","password":"any"}'
Step-by-step guide: These `curl` commands simulate attacks against APIs. The first pair tests for BOLA by accessing different user object IDs with the same token to see if the authorization checks are flawed. The second command retrieves a user profile to check if the API responds with more data than the client needs, a potential information leak. The third command attempts SQL injection by sending a crafted JSON payload that terminates the string and comments out the rest of the query. SOC Analysts might see the logs from these attempts, while Threat Hunters might proactively test internal APIs.
What Undercode Say:
- The convergence of SOC and Threat Hunter tooling into XDR platforms is creating a new hybrid “Detection Engineer” role, blurring the traditional lines between reactive and proactive defense.
- The skills gap is no longer just about knowing tools, but about developing a “adversary mindset” – the ability to think like an attacker to hypothesize, investigate, and validate threats effectively across on-premise and cloud environments.
The traditional separation between SOC Analysts and Threat Hunters is rapidly evolving. The most effective security teams are those that foster deep collaboration and skill-sharing between these functions. A Tier 3 SOC Analyst performing a deep forensic investigation is, in practice, conducting a reactive hunt. Conversely, a Threat Hunter who discovers a novel technique will create new detection rules for the SOC, closing the loop. The future lies in building teams of versatile security professionals who can pivot between monitoring, investigating, and hunting, armed with a deep understanding of both attacker TTPs and defensive technologies. The tools and commands are merely a means to execute this strategic mindset.
Prediction:
The increasing adoption of AI-powered security tools will automate the bulk of Tier 1 SOC alert triage within the next 3-5 years. This will not render SOC Analysts obsolete but will force an evolution. The role will shift dramatically towards higher-tier analysis, threat hunting, and security engineering—focusing on tuning AI models, investigating complex multi-step attacks that AI misses, and managing the security of the AI systems themselves. The most significant future breaches will likely be uncovered by human-led hunts that creatively correlate weak signals AI dismissed as noise, making the investment in advanced human expertise more critical than ever.
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IT/Security Reporter URL:
Reported By: Michael Eru – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
