Collection Discovery
Introduction
PowerShell is a powerful and versatile tool widely used by security operations (SecOps) teams to manage systems, automate tasks, and conduct detailed investigations. Its robust scripting capabilities and deep integration with Windows make it indispensable for Digital Forensics and Incident Response (DFIR). One of its critical applications in DFIR is uncovering Collection Discovery activities. Collection Discovery involves identifying and investigating attackers' unauthorised gathering of sensitive data or intellectual property within an enterprise network. PowerShell empowers SecOps teams to efficiently detect and analyse these activities, enabling swift containment and mitigation of data-related threats.
Capabilities of PowerShell for Collection Discovery in DFIR
1. Detecting File and Directory Enumeration:
PowerShell can monitor and analyse commands used to enumerate files and directories, which is often an initial step in data collection. This includes detecting suspicious access to shared drives, sensitive directories, or files with specific extensions, such as .docx
, .xlsx
, or .pdf
.
2. Investigating Unauthorised Data Access:
Attackers may attempt to access or exfiltrate confidential data. PowerShell provides the ability to query audit logs, monitor file system activity, and detect unauthorised access to critical resources.
3. Monitoring Data Aggregation Tools:
PowerShell can identify the use of tools or scripts designed for aggregating data, such asrobocopy
, custom PowerShell scripts or third-party utilities. It can also monitor for unusual compression or archiving activities, such as the creation of .zip
or .rar
files.
4. Analysing Network File Transfers:
PowerShell enables analysts to detect suspicious file transfers over the network, such as uploads to cloud storage services, transfers via SMB shares, or unusual HTTP/FTP activity.
5. Detecting Credential Collection:
Collection Discovery often includes harvesting credentials stored on systems. PowerShell can identify attempts to access the Windows Credential Manager, SAM database, or tools like Mimikatz, which are used to collect credentials.
6. Inspecting Registry and Configuration Changes:
Attackers may modify registry settings or system configurations to enable easier data collection. PowerShell can query and analyse registry keys and configuration files for unauthorised changes.
7. Querying Event Logs for Data Collection Patterns:
PowerShell can analyse event logs to identify patterns indicative of data collection, such as abnormal read/write operations, access to large volumes of data, or failed access attempts.
Efficiency Provided by PowerShell in Collection Discovery
Comprehensive Visibility: PowerShell offers access to critical data sources, such as file systems, logs, and network configurations, enabling analysts to thoroughly investigate collection activities.
Real-Time Monitoring: PowerShell supports real-time detection and analysis, allowing SecOps teams to identify collection attempts as they occur and take immediate action.
Scalability: Using PowerShell Remoting, analysts can simultaneously investigate collection activities across multiple systems, ensuring comprehensive coverage in enterprise environments.
Automation and Efficiency: Repetitive tasks, such as scanning directories for sensitive file access or monitoring audit logs, can be automated using PowerShell scripts, saving time and ensuring consistency.
Tailored Detection Rules: PowerShell scripts can be customised to detect specific collection techniques aligned with the MITRE ATT&CK framework, enhancing the precision of investigations.
Integration with Security Tools: PowerShell integrates seamlessly with platforms like Microsoft Sentinel, Defender for Endpoint, and SIEM solutions, enabling enriched data analysis and automated threat response.
By leveraging PowerShell’s capabilities, SecOps teams can efficiently uncover and analyse Collection Discovery activities in enterprise networks. This enables proactive defence against data theft and ensures the organisation’s sensitive information remains secure.
Collection Discovery
1. File and Data Collection
1.1. Detecting Large File Searches
Purpose: Identify searches for large files, which may indicate data collection.
1.2. Monitoring for File Searches by Extension
Purpose: Detect searches for specific file types, such as documents or spreadsheets.
2. Clipboard Data Collection
2.1. Monitoring Clipboard Access
2.2. Detecting Clipboard Content Retrieval
Purpose: Identify attempts to read clipboard contents programmatically.
3. Keystroke Logging
3.1. Detecting Keylogger Installation
Purpose: Identify the presence of keylogging software.
3.2. Monitoring for Keystroke Logging Activity
Purpose: Detect processes indicative of keystroke logging.
4. Screenshot and Video Capture
4.1. Detecting Screenshot Capture Programs
Purpose: Identify tools used for capturing screenshots.
4.2. Monitoring Video Capture Software
Purpose: Detect software used for video capture.
5. Audio Capture and Surveillance
5.1. Monitoring for Audio Recording Software
Purpose: Identify software that may be used to record audio.
5.2. Detecting Use of System Microphone
Purpose: Monitor for applications accessing the system's microphone.
6. Credential and Authentication Data Collection
6.1. Monitoring for Credential Dumping Tools
Purpose: Detect the use of tools like Mimikatz for extracting credentials.
6.2. Detecting Access to Credential Stores
Purpose: Identify attempts to access stored credentials, such as password vaults.
7. Email and Messaging Data Collection
7.1. Monitoring for Email Client Activity
Purpose: Detect unusual activity in email clients, such as bulk exports.
7.2. Detecting Access to Messaging Applications
Purpose: Identify access to messaging applications like Skype, Teams, etc.
8. Browser Data Collection
8.1. Detecting Access to Browser Data
Purpose: Monitor for access to browser data, including cookies and history.
8.2. Monitoring Browser Extensions for Data Collection
Purpose: Detect malicious or suspicious browser extensions.
9. Data Staging and Compression
9.1. Detecting Data Compression Tools
Purpose: Identify the use of tools like WinRAR or 7-Zip for compressing data.
9.2. Monitoring for Creation of Archive Files
Purpose: Detect the creation of archive files that may indicate data staging.
10. Cloud and Remote Storage Access
10.1. Monitoring for Cloud Storage Access
Purpose: Detect access to cloud storage services like Dropbox, Google Drive, etc.
10.2. Detecting File Uploads to Remote Servers
Purpose: Identify file uploads to remote servers, indicating potential exfiltration.
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