Noodle RAT: The Fileless Ghost

Malmon Profile

Classification: APT/Infostealer ⭐⭐⭐
Discovery Credit: Lena Yu, Cybersecurity Researcher, 2023
First Documented: May 2023
Threat Level: Advanced (Fileless persistence specialist)

Malmon Card Reference

Noodle RAT

RAT/Stealth
⭐⭐
Noodle RAT

Noodle RAT is a stealthy backdoor malware used by Chinese-speaking threat actors for cyber espionage. It features two core variants—fileless and file-based—both supporting key operations like file uploads, downloads, command execution, and self-deletion. Often deployed via DLL side-loading, Noodle RAT blends into compromised systems and maintains persistence with minimal forensic trace.

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Fileless Persistence
Operates entirely in memory with registry-based persistence mechanisms
Data Harvesting
Systematic collection of credentials, documents, and system information
🔮
APT Infrastructure
Connected to Chinese APT operations with sophisticated command and control
⬆️
Advanced Espionage Platform
Develops enhanced lateral movement and data exfiltration capabilities
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Memory Analysis
Vulnerable to memory forensics and behavioral monitoring techniques
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🔒8
📡5
💣8
🥷8
Property Icons:
🔍Detection
🔒Persistence
📡Spread
💣Payload
🥷Evasion

Technical Characteristics

MITRE ATT&CK Mapping

  • Initial Access: T1566.001 (Spearphishing Attachment)
  • Defense Evasion: T1055 (Process Injection)
  • Exfiltration: T1041 (Exfiltration Over C2 Channel)

Detailed ATT&CK Analysis

🎯 MITRE ATT&CK Technique Analysis

Technique Tactic Description Mitigation Detection
T1566.001
Spearphishing Attachment
Initial Access Targets victims through carefully crafted spearphishing campaigns Email security, user training, attachment scanning Email analysis, attachment behavior monitoring, user reporting
T1055
Process Injection
Defense Evasion Injects malicious code into legitimate processes to avoid detection Process monitoring, memory protection, behavioral analysis Process behavior monitoring, memory analysis, API monitoring
T1041
Exfiltration Over C2 Channel
Exfiltration Exfiltrates collected data through encrypted command and control channels Network monitoring, egress filtering, traffic analysis Network traffic analysis, C2 communication patterns, data flow monitoring
IM Facilitation Notes:
  • Use these techniques to guide player investigation questions
  • Help players connect evidence to specific ATT&CK techniques
  • Highlight type effectiveness relationships in responses
  • Encourage discussion of real-world mitigation strategies
  • Exfiltration: T1041 (Exfiltration Over C2 Channel)

Core Capabilities

Fileless Operation:

  • Operates entirely in memory without disk-based artifacts
  • Uses legitimate system processes for malicious activities
  • Persists through registry modifications and scheduled tasks
  • +3 bonus against traditional file-based detection systems

Credential Harvesting:

  • Dumps passwords from browser stores and system memory
  • Captures keystrokes and clipboard contents
  • Steals authentication tokens and session cookies
  • +2 bonus to credential theft and account compromise

Advanced Evasion (Hidden Ability):

  • Uses process hollowing and injection techniques
  • Communicates through encrypted channels mimicking legitimate traffic
  • Self-destructs when forensic analysis is detected
  • Evolves into persistent APT with lateral movement capabilities

Type Effectiveness Against Noodle RAT

Understanding which security controls work best against advanced APT/Infostealer threats like Noodle RAT:

Trojan
Weak to: Detection
Resists: Training
Worm
Weak to: Isolation
Resists: Backup
Ransomware
Weak to: Backup
Resists: Encryption
Rootkit
Weak to: Forensics
Resists: Detection
APT
Weak to: Intelligence
Phishing
Weak to: Training
Botnet
Weak to: Coordination
Infostealer
Weak to: Encryption

Key Strategic Insights for IMs:

  • Most Effective: Behavioral Analysis (detects fileless techniques), Memory Forensics (catches process injection), Threat Intelligence (tracks APT campaigns)
  • Moderately Effective: Network Monitoring (C2 patterns), Zero Trust Architecture (limits credential reuse), Advanced Endpoint Detection
  • Least Effective: Signature Detection (fileless operation), Traditional Antivirus (legitimate process abuse), File-based Analysis (no disk artifacts)

APT/Infostealer Considerations:
This represents sophisticated credential theft operations - emphasize advanced detection, memory analysis, and assumption of compromise approaches.

Vulnerabilities

Memory Analysis Detection:

  • Vulnerable to advanced memory forensics and behavioral analysis
  • Process injection creates detectable anomalies in system behavior
  • -3 penalty when defenders use memory analysis tools

Network Behavioral Analysis:

  • Encrypted communications still create detectable patterns
  • Command and control traffic has identifiable characteristics
  • Vulnerable to network behavioral analysis and traffic correlation

Facilitation Guide

Pre-Session Preparation

Choose Noodle RAT When:

  • Advanced teams ready for sophisticated evasion techniques
  • Fileless malware and advanced persistence concepts need demonstration
  • Credential security and access management focus is desired
  • Memory forensics and behavioral analysis techniques should be explored
  • APT tactics and stealth operations require illustration

Avoid Noodle RAT When:

  • Novice teams who haven’t mastered basic malware detection
  • File-based security focus where fileless techniques aren’t relevant
  • Time-limited sessions where complexity might prevent adequate exploration

Session Structure Guidance

Discovery Phase (Round 1) Facilitation

Initial Symptoms to Present:

  • “Users reporting unexpected password changes and account lockouts”
  • “Network monitoring detects encrypted traffic to suspicious domains”
  • “No malicious files found despite clear signs of compromise”
  • “Legitimate system processes consuming unusual amounts of memory”

IM Question Progression:

  1. “How could systems be compromised without any malicious files present?”
  2. “What would cause legitimate processes to behave suspiciously?”
  3. “How might attackers steal credentials without leaving obvious traces?”
  4. “What investigation techniques work when traditional forensics find nothing?”

Expected Player Discovery Path:

  • Detective: Analyzes memory dumps and process behavior for injection indicators
  • Protector: Investigates credential compromise and access control bypasses
  • Tracker: Maps encrypted communications and behavioral network patterns
  • Communicator: Assesses user reports of account and authentication issues
  • Crisis Manager: Coordinates response to invisible threat with visible impact
  • Threat Hunter: Develops techniques for detecting fileless malware and memory-resident threats

Fileless Discovery: Guide toward: “This appears to be a fileless threat operating entirely in memory, making it nearly invisible to traditional detection.”

Investigation Phase (Round 2) Facilitation

Fileless Investigation Techniques:

  • “How do you investigate threats that leave no files on disk?”
  • “What forensic techniques work for memory-only malware?”
  • “How do you preserve evidence of something that exists only in volatile memory?”

Credential Compromise Assessment:

  • “How do you determine what credentials have been stolen without obvious indicators?”
  • “What accounts and systems might be compromised through stolen credentials?”
  • “How do you assess the scope of access an attacker might have gained?”

Advanced Evasion Analysis:

  • “How do you detect process injection and hollowing techniques?”
  • “What makes encrypted command and control traffic suspicious?”
  • “How do you distinguish between legitimate and malicious memory usage?”

Response Phase (Round 3) Facilitation

Specialized Response Techniques:

  • “How do you respond to threats that traditional tools can’t detect?”
  • “What combination of techniques gives you the best chance of finding memory-resident malware?”
  • “How do you ensure complete removal of threats that don’t exist as files?”

Credential Security Response:

  • “What immediate steps are needed when credential theft is suspected?”
  • “How do you prevent lateral movement using stolen credentials?”
  • “What long-term changes are needed to prevent credential-based attacks?”

Advanced Facilitation Techniques

Fileless Malware Education

Memory Forensics Concepts:

  • Help teams understand how malware can operate without files
  • Guide discussion of memory analysis techniques and tools
  • Explore the challenges of preserving volatile evidence

Behavioral Analysis Focus:

  • Discuss how behavior-based detection works for fileless threats
  • Explore the importance of baseline understanding for anomaly detection
  • Guide development of hunting techniques for advanced persistent threats

Credential Security Deep Dive

Access Management Strategy:

  • Discuss multi-factor authentication and zero-trust principles
  • Explore credential management and privileged access controls
  • Guide teams through credential compromise response procedures

Lateral Movement Prevention:

  • Help teams understand how stolen credentials enable network traversal
  • Discuss network segmentation and access control strategies
  • Explore monitoring and detection for credential abuse

Real-World Learning Connections

Advanced Threat Detection

  • Memory forensics and behavioral analysis techniques
  • Network traffic analysis for encrypted communications
  • Process monitoring and injection detection
  • Threat hunting methodologies for advanced persistent threats

Credential Security Management

  • Multi-factor authentication implementation and management
  • Privileged access management and least privilege principles
  • Credential monitoring and compromise detection
  • Zero-trust architecture and identity-based security

Incident Response Evolution

  • Adapting response procedures for fileless and memory-resident threats
  • Volatile evidence preservation and memory forensics
  • Advanced threat actor tactics and countermeasures
  • Coordination between technical analysis and business protection

Assessment and Learning Objectives

Success Indicators

Team Successfully:

  • Recognizes fileless malware characteristics and detection challenges
  • Understands memory forensics and behavioral analysis concepts
  • Develops response strategies for advanced persistent threats
  • Demonstrates understanding of credential security and access management
  • Coordinates technical analysis with business impact assessment

Advanced Learning Indicators:**

  • Discusses threat hunting techniques for memory-resident malware
  • Explores zero-trust architecture and identity-based security
  • Considers long-term defensive strategies against APT tactics
  • Demonstrates understanding of advanced evasion techniques and countermeasures

Post-Session Reflection Questions

  • “How does fileless malware change your approach to threat detection?”
  • “What detection strategies work against memory-resident threats?”
  • “How do you balance security with usability in credential management?”
  • “What organizational changes are needed to defend against advanced persistent threats?”

Community Contributions and Extensions

Advanced Scenarios

  • Zero-Day Exploitation: Fileless delivery through unknown vulnerabilities
  • Living-off-the-Land: Using only legitimate tools for malicious purposes
  • Supply Chain Integration: Fileless compromise through trusted software
  • Insider Threat: Malicious use of legitimate access and credentials

Strategic Applications

  • Threat Hunting Program Development: Building capabilities for advanced threat detection
  • Zero-Trust Implementation: Designing identity-based security architectures
  • Memory Forensics Training: Developing organizational capabilities for fileless threat analysis
  • Credential Security Strategy: Implementing comprehensive access management programs

Noodle RAT represents the cutting edge of malware evasion, demonstrating how advanced threats adapt to security controls and requiring organizations to evolve beyond traditional file-based detection toward behavioral analysis and memory forensics.