Hunting For Process Injection Techniques

Hunting for Process Injection Techniques

Overview

Process injection (MITRE ATT&CK T1055) allows adversaries to execute code in the address space of another process, enabling defense evasion and privilege escalation. This skill detects injection techniques via Sysmon Event ID 8 (CreateRemoteThread), Event ID 10 (ProcessAccess with suspicious access rights), and analysis of source-target process relationships to distinguish legitimate from malicious injection.

When to Use

Trigger phrases:

• "hunting for process injection techniques"

• "Detect process injection techniques (T1055) including CreateRemoteThread, proces"

• When investigating security incidents that require hunting for process injection techniques

• When building detection rules or threat hunting queries for this domain

• When SOC analysts need structured procedures for this analysis type

• When validating security monitoring coverage for related attack techniques

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Sysmon installed with Event IDs 8 and 10 enabled
• Process creation logs (Sysmon Event ID 1 or Windows 4688)
• Python 3.8+ with standard library
• JSON-formatted Sysmon event logs

Steps

# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Parse Sysmon Events — Ingest Event IDs 1, 8, and 10 from JSON log files
2. Detect CreateRemoteThread — Flag Event ID 8 with suspicious source-target process pairs
3. Analyze ProcessAccess Rights — Identify Event ID 10 with dangerous access masks (PROCESS_VM_WRITE, PROCESS_CREATE_THREAD)
4. Build Process Relationship Graph — Map source-to-target injection relationships
5. Filter Known Legitimate Pairs — Exclude known benign injection patterns (AV, debuggers, system processes)
6. Score Injection Severity — Apply risk scoring based on source process, target process, and access rights
7. Generate Hunt Report — Produce structured report with MITRE sub-technique mapping

Expected Output

• JSON report of detected injection events with severity scores
• Process injection relationship graph
• MITRE ATT&CK sub-technique mapping (T1055.001-T1055.012)
• False positive exclusion recommendations

Red Flags

• Performing actions without explicit written authorization from the asset owner
• Testing against production systems without a defined scope and rules of engagement
• Testing without rate limiting, potentially causing service degradation
• Storing sensitive test data (credentials, tokens) in plain text logs
• Using automated scanners blindly without reviewing results for false positives

Process

1. Reconnaissance — Gather target information, identify attack surface, enumerate services
2. Analysis/Exploitation — Execute the technique, analyze results, document findings
3. Reporting — Document IOCs, write findings, provide remediation recommendations

Verification

• All steps executed successfully against a test environment before production use
• Output documented with screenshots or logs demonstrating expected behavior
• Vulnerabilities reproduced with proof-of-concept and impact analysis
• False positives filtered out through manual verification
• Fix recommendations include code-level remediation guidance

Anti-Rationalization Table