Credential Access Discovery
Introduction
PowerShell is a powerful and flexible tool that plays a critical role in security operations (SecOps), particularly in the detection, investigation, and remediation of threats within enterprise networks. Its deep integration with Windows systems, robust scripting capabilities, and extensive library of cmdlets make it an essential asset for digital forensics and incident response (DFIR). Specifically, PowerShell is highly effective in uncovering Credential Access Discovery activities, which are often part of an attacker’s effort to gain unauthorised access to sensitive accounts or escalate privileges. By leveraging PowerShell, SecOps teams can efficiently identify and mitigate credential theft or misuse, a critical step in protecting enterprise environments.
Capabilities of PowerShell for Credential Access Discovery in DFIR
1. Detecting Credential Dumping Activities:
PowerShell enables the identification of suspicious activities like memory dumping or unauthorised access to critical processes such aslsass.exe
, often targeted for credential extraction. It can also detect tools and techniques used to dump password hashes or plaintext credentials, providing insights into attacker behaviour.
2. Investigating Credential Storage Locations:
PowerShell can analyse system components like the Security Account Manager (SAM), Active Directory database files, and registry entries to detect unauthorised access attempts or modifications. It is also capable of monitoring sensitive storage areas, such as the Windows Credential Manager, to uncover malicious activities aimed at harvesting credentials.
3. Monitoring for Credential Harvesting:
PowerShell can be used to identify abnormal patterns in account usage, such as unusual logins, privilege escalations, or anomalous network activity. This enables security teams to track the misuse of compromised credentials across the network and detect lateral movement or unauthorised access attempts.
4. Hunting for Tools and Techniques:
PowerShell can effectively detect malicious tools, obfuscated scripts, or encoded commands used in credential theft attacks. It also supports monitoring for Kerberos ticket abuse, such as Golden or Silver Ticket attacks, which adversaries often employ to maintain persistent access.
5. Artifact Collection for Forensic Analysis:
PowerShell automates the collection of critical forensic artifacts, such as security logs, memory dumps, and process details. These artifacts provide valuable evidence for identifying the scope of credential access activities and understanding the attacker’s methods.
Efficiency Provided by PowerShell in Credential Access Discovery
Comprehensive Visibility: PowerShell provides unparalleled access to logs, processes, and system configurations, offering a complete view of credential access attempts and associated behaviours.
Scalability: The ability to execute scripts across multiple endpoints through PowerShell Remoting makes it ideal for investigations in large enterprise environments.
Real-Time Insights: PowerShell’s dynamic querying capabilities enable security teams to detect and analyse credential-related threats in real-time, reducing response times.
Automation and Consistency: By automating repetitive tasks, PowerShell ensures consistency in detection and analysis workflows while freeing up analysts for more complex investigations.
Customisable Detection: PowerShell scripts can be tailored to align with the MITRE ATT&CK framework, ensuring the detection of specific adversarial tactics and techniques.
Integration with Security Tools: Seamless integration with platforms like Microsoft Sentinel, Defender for Endpoint, and SIEM tools enhances the efficiency and effectiveness of credential access discovery and incident response efforts.
By utilising PowerShell’s extensive capabilities, SecOps teams can effectively detect and investigate credential access activities, enabling timely mitigation and strengthening the overall security posture of the enterprise.
Credential Access Discovery
1. Detecting Credential Dumping Attempts
1.1. Monitoring for LSASS Process Access
Purpose: Detect attempts to access the LSASS process, which may indicate credential dumping.
1.2. Identifying the Use of Mimikatz
Purpose: Detect the execution of Mimikatz, a tool commonly used for credential dumping.
2. Suspicious Account Activity Monitoring
2.1. Tracking Account Logon Failures
Purpose: Identify multiple logon failures that could indicate password guessing or brute force attacks.
2.2. Detecting Privileged Account Logons
Purpose: Monitor logons by privileged accounts that may indicate misuse of credentials.
3. Phishing and Email-based Attacks
3.1. Detecting Phishing Email Characteristics
Purpose: Identify characteristics of phishing emails, such as unusual attachments or links.
3.2. Monitoring for Unusual Email Client Activity
Purpose: Detect unusual activity in email clients that may indicate compromised accounts.
4. Credential Caching and Storage
4.1. Detecting Stored Credentials in Browsers
Purpose: Identify stored credentials in browser caches.
4.2. Monitoring for Cached Credentials in RDP
Purpose: Detect cached credentials used in Remote Desktop Protocol (RDP) sessions.
5. Keylogging and User Input Capture
5.1. Detecting Keylogger Installation
Purpose: Identify the installation of keylogging software.
5.2. Monitoring for Keylogger Activity
Purpose: Detect activity indicative of keylogging, such as unusual process behaviour.
6. Credential Theft from API and Memory
6.1. Monitoring Access to Security Account Manager (SAM) Database
Purpose: Detect unauthorized access attempts to the SAM database.
6.2. Identifying Memory Dumping Attempts
Purpose: Detect attempts to dump process memory for credential harvesting.
7. Suspicious Network and Remote Access Activity
7.1. Detecting Suspicious VPN Connections
Purpose: Monitor for unusual VPN connections that could indicate credential misuse.
7.2. Monitoring Remote Access Tools (RATs)
Purpose: Identify remote access tools that may be used for credential theft.
8. Password and Credential Policy Changes
8.1. Monitoring Changes to Password Policies
Purpose: Detect changes to password policies that may weaken security.
8.2. Detecting Changes to Credential Delegation Policies
Purpose: Identify changes to credential delegation settings.
9. Browser and Web-based Credential Theft
9.1. Detecting Malicious Browser Extensions
Purpose: Identify browser extensions that may be used to steal credentials.
9.2. Monitoring for Credential Harvesting Websites
Purpose: Detect access to known credential-harvesting websites.
10. Advanced Credential Stealing Techniques
10.1. Monitoring for Kerberoasting Attempts
Purpose: Identify attempts to request Kerberos service tickets to crack offline.
10.2. Detecting Pass-the-Hash Attacks
Purpose: Monitor for using NTLM hashes to authenticate without knowing the plaintext password.
Additional Discovery Techniques
1. Credential Dumping
1.1. Monitoring LSASS Memory Access
Purpose: Detect attempts to access LSASS process memory for credential dumping.
1.2. Detecting the Use of Mimikatz
Purpose: Identify execution of Mimikatz, a tool commonly used for credential dumping.
2. Keylogging and Input Capture
2.1. Detecting Keylogger Installation
Purpose: Identify keylogging software installation.
2.2. Monitoring for Keylogger Activity
Purpose: Detect processes indicative of keylogging activity.
3. Brute Force and Password Guessing
3.1. Monitoring Account Lockout Events
Purpose: Identify multiple failed login attempts indicating brute force attacks.
3.2. Detecting Multiple Login Failures
Purpose: Track multiple login failures to identify potential password-guessing attempts.
4. Phishing and Spear Phishing
4.1. Identifying Phishing Email Characteristics
Purpose: Detect emails with phishing characteristics, such as suspicious links or attachments.
4.2. Monitoring for Unusual Email Activity
Purpose: Detect unusual email activity, such as unexpected mass emails or account use.
5. Credential Theft from Browsers
5.1. Detecting Access to Stored Browser Credentials
Purpose: Identify access to browser-stored credentials.
5.2. Monitoring Browser Extension Activity
Purpose: Detect potentially malicious browser extensions that could steal credentials.
6. Credential Dumping from the Security Account Manager (SAM)
6.1. Monitoring SAM Database Access
Purpose: Detect attempts to access the SAM database, which stores user credentials.
6.2. Detecting Use of SAMDump Tools
Purpose: Identify the use of tools designed to dump SAM database contents.
7. Exploitation of Default Credentials
7.1. Detecting Use of Default or Weak Credentials
Purpose: Identify logins using default or weak credentials.
7.2. Monitoring for Access to Critical Systems
Purpose: Detect unauthorized access to critical systems using default credentials.
8. Credential Harvesting from Application Credentials
8.1. Detecting Access to Application Credentials
Purpose: Identify attempts to access credentials stored within applications.
8.2. Monitoring Credential Harvesting via API Calls
Purpose: Detect the use of API calls to harvest credentials from applications.
9. Pass-the-Hash and Pass-the-Ticket
9.1. Detecting Pass-the-Hash Attacks
Purpose: Identify attempts to use NTLM hashes to authenticate without knowing the plaintext password.
9.2. Monitoring for Pass-the-Ticket Attempts
Purpose: Detect unauthorized use of Kerberos tickets.
10. Credential Access via Remote Services
10.1. Detecting Unauthorized RDP Access
Purpose: Monitor for unauthorized Remote Desktop Protocol (RDP) access.
10.2. Monitoring Remote Service Authentication
Purpose: Identify authentication attempts via remote services like SSH, VPN, etc.
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