Full Report
In today’s hybrid environments, legitimate tools like Notepad can be silently used to view or stage sensitive data such as password files—especially by insiders or low-and-slow threat actors. While Google SecOps (UDM) supports highly specific detections, the logic behind them is often layered and complex. That’s why Uncoder AI’s AI-generated Decision Tree has become an […] The post Visualizing Sensitive File Discovery in Google SecOps with Uncoder AI’s Decision Tree appeared first on SOC Prime.
Analysis Summary
# Tool/Technique: Password File Discovery via Notepad/Explorer Chain
## Overview
This describes a security detection scenario focusing on the unauthorized or suspicious discovery of sensitive files, specifically those containing passwords (e.g., `password.xls`), being accessed via the standard Windows text editor, `notepad.exe`, which was itself launched by `explorer.exe`. The context highlights the use of SOC Prime's Uncoder AI to generate a transparent Decision Tree visualization for this specific detection rule within Google SecOps.
## Technical Details
- Type: Technique/Detection Scenario
- Platform: Windows (Implied by `notepad.exe` and `explorer.exe`)
- Capabilities: Detecting precursor activity potentially leading to credential misuse or insider threats by monitoring file access patterns involving sensitive data and common applications.
- First Seen: Not explicitly stated, but context implies recent relevancy based on Uncoder AI's deployment.
## MITRE ATT&CK Mapping
This scenario primarily relates to discovery and collection activities:
- TA0005 - Discovery
- T1083 - File and Directory Discovery
- *Note: While the MITRE mapping is not directly provided for the specific chain, the action of opening a sensitive file strongly implies file discovery.*
- TA0006 - Credential Access (Implied goal of the actor)
- T1003 - OS Credential Dumping (If the data is highly sensitive)
## Functionality
### Core Capabilities
- Detecting the file access event: Identifying when a file containing sensitive data (like passwords) is opened.
- Process lineage tracing: Correlating the actions of `notepad.exe` accessing the file with its parent process, `explorer.exe`.
### Advanced Features
- **Transparency and Documentation:** Utilizing Uncoder AI to generate an AI-generated Decision Tree, allowing security teams to understand exactly *how* the detection rule works, enhancing analyst ramp-up and incident triage confidence.
- **Contextual Alerting:** Focusing detection on files named or containing indicators of sensitive information (e.g., files containing passwords).
## Indicators of Compromise
- File Hashes: N/A (Focus is on behavior, not known malware hashes)
- File Names: `password.xls` (Example of a sensitive file)
- Registry Keys: N/A
- Network Indicators: N/A
- Behavioral Indicators:
- `notepad.exe` opening a file path containing password information.
- `explorer.exe` launching `notepad.exe`.
## Associated Threat Actors
- Insider Threats (Potential)
- Unauthorized Access Actors (Potential)
- *No specific threat groups are named in the provided text.*
## Detection Methods
- **Rule-based Detection (Google SecOps):** Deploying specific detections designed to catch this sequence of events.
- **Visualization/Analysis:** Using tools like Uncoder AI's Decision Tree to validate and explain complex detection logic derived from security queries.
- **Behavioral Detection:** Monitoring common application usage patterns that diverge from baselines, especially when accessing sensitive file types.
## Mitigation Strategies
- **Access Control:** Implementing strict Least Privilege access controls on sensitive files (e.g., password spreadsheet locations).
- **Data Loss Prevention (DLP):** Monitoring and blocking unusual access or copying of files flagged as containing credentials.
- **Process Monitoring:** Restricting the execution of applications like Notepad from spawning unusual child processes or accessing sensitive files.
- **Security Awareness:** Training employees regarding the safe handling and storage of credentials.
## Related Tools/Techniques
- **Google SecOps:** The SIEM/Detection platform where the rule resides and is being analyzed.
- **Uncoder AI:** The tool used to visualize and clarify the underlying detection logic (Decision Tree generation).
- **The Prime Hunt:** A browser extension mentioned, related to SOC Prime tooling.
- **Detection as Code Platforms:** Mentioned as a way to improve visibility into threats.