Full Report
Transform raw Windows event data into actionable insights. Learn expert methodologies for intrusion analysis, authentication events, credential dumping, and RDP activity to stay ahead of threats.
Analysis Summary
# Tool/Technique: Intrusion Analysis Methodology (Windows Event Log Analysis)
## Overview
This methodology focuses on transforming raw Windows Event Log data into actionable security insights. It emphasizes contextualizing authentication events, lateral movement, and credential access by analyzing specific sub-status codes and protocol nuances that distinguish legitimate user behavior from malicious actor activity.
## Technical Details
- **Type**: Technique (Intrusion Analysis / Forensics)
- **Platform**: Microsoft Windows
- **Capabilities**: Identification of brute-force attacks, unauthorized lateral movement, credential dumping, and suspicious remote access.
- **First Seen**: N/A (Methodology based on long-standing Windows logging mechanisms).
## MITRE ATT&CK Mapping
- **[TA0006 - Credential Access]**
- [T1110 - Brute Force]
- [T1003 - OS Credential Dumping]
- **[TA0008 - Lateral Movement]**
- [T1021.001 - Remote Services: Remote Desktop Protocol]
- [T1550.002 - Use Alternate Authentication Material: Pass the Hash]
- **[TA0007 - Discovery]**
- [T1087 - Account Discovery]
## Functionality
### Core Capabilities
- **Authentication Deep-Dive**: Analysis of Event IDs 4624 (Success) and 4625 (Failure) to identify anomalies.
- **Error Code Interpretation**: Utilizing SubStatus codes (e.g., `0xC0000064` for non-existent users vs. `0xC000006A` for wrong passwords) to identify targeted account enumeration.
- **Protocol Scrutiny**: Distinguishing between NTLM and Kerberos authentication packages to spot tools that default to NTLM for brute-forcing or lateral movement.
### Advanced Features
- **dMSA Ouroboros Analysis**: Detecting self-sustaining credential extraction in Windows Server 2025 using delegated Managed Service Accounts.
- **ASN-Based Hunting**: Utilizing Autonomous System Numbers to identify traffic originating from high-risk hosting providers or VPNs rather than legitimate residential/corporate ISPs.
## Indicators of Compromise
- **File Names**: `lsass.exe` (when targeted for memory dumps), `svchost.exe` (if used for masquerading).
- **Behavioral Indicators**:
- High volume of Event ID 4625 with SubStatus `0xC0000064` (Account Discovery).
- Successful logins (4624) via NTLM in environments where Kerberos is the standard.
- Unusual RDP source IPs or workstation names not found in internal inventory.
- Anomalous activity involving `dMSA` (Delegated Managed Service Accounts).
## Associated Threat Actors
- **General Cybercriminals**: Brute-force and RDP-based entry.
- **Ransomware Groups**: Known for lateral movement via Pass-the-Hash and RDP.
- **Advanced Persistent Threats (APTs)**: Utilizing novel persistence mechanisms like dMSA Ouroboros.
## Detection Methods
- **Behavioral Detection**: Monitoring for "Impossible Travel" logins or a sudden influx of failed logins for non-existent administrative accounts.
- **Log Correlation**: Matching successful 4624 events with 4648 (logon using explicit credentials) to identify lateral movement.
- **SIEM Rules**: Alerting on specific SubStatus codes in 4625 events that indicate username harvesting.
## Mitigation Strategies
- **Hardening Recommendations**:
- Enforce Kerberos and restrict NTLM usage where possible.
- Implement Account Lockout Policies to thwart brute-force attempts.
- Disable RDP on endpoints that do not strictly require it.
- **Prevention Measures**: Use Multi-Factor Authentication (MFA) to invalidate the utility of stolen credentials or successful brute-force attacks.
## Related Tools/Techniques
- **Pass-the-Hash**: Lateral movement technique utilizing NTLM hashes.
- **Credential Dumping**: Extracting secrets from LSASS memory.
- **RDP Brute Force**: Automated attempts to guess passwords over Remote Desktop Protocol.