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Threat Model Analysis for onevcat/fengniao

Threat: T1: Unintentional Critical Resource Deletion

  • Threat: T1: Unintentional Critical Resource Deletion

    • Description: FengNiao, due to incorrect regular expressions, incomplete exclusion lists, or bugs in its file searching logic, deletes essential project files. This is a direct consequence of how FengNiao operates. A faulty regex like .*_unused.* might match files that contain "unused" but are still needed. A bug in the find_unused function could misinterpret file paths or dependencies.
    • Impact: Loss of essential project files (source code, assets, configurations), leading to build failures, application malfunctions, data loss, and significant development delays. The application may become completely unusable.
    • FengNiao Component Affected:
      • find_unused function (and related file searching logic): This is the core function that identifies files for deletion. A bug or misconfiguration here directly leads to incorrect file selection.
      • Configuration file parsing (if used): Incorrect parsing of a configuration file can lead to unintended deletion rules.
      • Command-line argument parsing: Incorrect handling of command-line arguments (e.g., --path, --exclude) can lead to overly broad deletion, although this is more about usage than a direct FengNiao flaw.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Mandatory Dry Run: Always use the --dry-run option first to preview the files that would be deleted. Make this a mandatory step in any workflow.
      • Precise Regular Expressions: Use highly specific and tested regular expressions to target only truly unused files. Avoid overly broad patterns.
      • Comprehensive Exclusion Lists: Maintain a thorough and up-to-date exclusion list (--exclude) to protect critical files and directories.
      • Version Control & Rollback: Use version control (Git) to allow easy rollback to a previous state if accidental deletion occurs.
      • Automated Testing: Create automated tests that verify FengNiao's behavior on a representative sample project. These tests should check for false positives (incorrectly identified unused files).
      • Staged Rollout: Introduce FengNiao gradually, starting with a small subset of the project and expanding its scope only after thorough testing.

Threat: T2: Malicious Code Removal/Injection (via Deletion)

  • Threat: T2: Malicious Code Removal/Injection (via Deletion)

    • Description: Although initiated by a malicious actor, the mechanism of this threat is FengNiao's deletion capability. The attacker leverages FengNiao to remove security-critical code, relying on FengNiao's intended functionality to achieve their malicious goal. They might delete authentication checks or input validation. The vulnerability is the ability to use FengNiao for malicious purposes, even if the tool itself isn't compromised.
    • Impact: Introduction of security vulnerabilities, allowing unauthorized access, data breaches, or privilege escalation. The application's security posture is severely compromised.
    • FengNiao Component Affected:
      • find_unused function: The attacker relies on this function to delete the targeted files.
      • Command-line arguments: The attacker might use specific arguments to target particular files or directories.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Mandatory Code Review: Require code reviews for all changes, including those that appear to be simple file deletions. Focus on the reason for the deletion.
      • Access Control: Strictly limit who can run FengNiao and modify the project's configuration.
      • Audit Logging: Log all FengNiao executions, including the user, timestamp, command-line arguments, and files affected.
      • Integrity Monitoring: Use file integrity monitoring tools to detect unauthorized modifications to critical files, even if FengNiao doesn't flag them.
      • Principle of Least Privilege: Ensure FengNiao runs with the minimum necessary permissions.

Threat: T3: Supply Chain Attack (Compromised FengNiao Binary)

  • Threat: T3: Supply Chain Attack (Compromised FengNiao Binary)

    • Description: This is a direct threat to FengNiao itself. An attacker compromises the FengNiao distribution and replaces it with a malicious version. This malicious version could contain backdoors, data exfiltration code, or subtly alter code instead of just deleting it. The attacker might modify the find_unused function or add new malicious functions.
    • Impact: Complete compromise of the development environment and potentially the application itself. The attacker could steal code, credentials, deploy malware, or sabotage the project.
    • FengNiao Component Affected: Potentially any part of the FengNiao codebase. The entire tool is suspect.
    • Risk Severity: Critical
    • Mitigation Strategies:
      • Dependency Pinning: Use a specific, known-good version of FengNiao (e.g., fengniao==1.2.3) and do not automatically update.
      • Checksum Verification: Verify the checksum (e.g., SHA256 hash) of the downloaded FengNiao binary against a trusted source (e.g., the official release page).
      • Software Composition Analysis (SCA): Use SCA tools to scan FengNiao and its dependencies for known vulnerabilities.
      • Code Review (of FengNiao itself): If possible, review the source code of FengNiao before using it, especially if it's a critical part of your workflow.
      • Sandboxing: Run FengNiao in a sandboxed environment (e.g., a Docker container) to limit its access to the host system.

Threat: T5: Data Exfiltration via Modified Output/Side Effects

  • Threat: T5: Data Exfiltration via Modified Output/Side Effects

    • Description: A compromised version of FengNiao is modified to collect and exfiltrate project information. This is a direct threat stemming from modifications within FengNiao. The attacker might add a function that "analyzes" the project and sends data to a remote server, or modify existing output functions to include sensitive information.
    • Impact: Leakage of sensitive project information, which could be used for reconnaissance, intellectual property theft, or to plan further attacks.
    • FengNiao Component Affected:
      • Output handling (e.g., print statements, logging functions): The attacker modifies how FengNiao reports its findings.
      • Potentially any function that accesses file metadata or contents.
    • Risk Severity: High
    • Mitigation Strategies:
      • Code Review (of FengNiao): Carefully review the source code of FengNiao for any suspicious network activity or data handling.
      • Network Monitoring: Monitor network traffic from the build environment for unexpected connections or data transfers.
      • Sandboxing: Run FengNiao in a sandboxed environment with restricted network access.
      • Output Redirection: Redirect FengNiao's output to a secure log file and review it regularly.
      • Limit Verbosity: Avoid using overly verbose output options unless absolutely necessary.