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Fix code scanning alert no. 4: Clear-text logging of sensitive information #116

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@khulnasoft-bot khulnasoft-bot commented Oct 5, 2024

User description

Fixes https://github.com/khulnasoft/ThreatMatrix/security/code-scanning/4

To fix the problem, we should avoid logging sensitive data directly. Instead, we can log a generic message indicating that sensitive data was pruned without including the actual data. This approach maintains the functionality of logging the event without exposing sensitive information.

  • Modify the log statement in the _validate_result method to exclude the sensitive result data.
  • Ensure the log message still provides useful information for debugging without exposing sensitive data.

Suggested fixes powered by Copilot Autofix. Review carefully before merging.


PR Type

Bug fix


Description

  • Fixed a code scanning alert by removing the logging of sensitive information in the _validate_result method.
  • Replaced sensitive data logging with a generic message to maintain privacy while still providing useful debugging information.

Changes walkthrough 📝

Relevant files
Bug fix
classes.py
Prevent clear-text logging of sensitive information           

api_app/analyzers_manager/classes.py

  • Removed logging of sensitive result data.
  • Added a generic log message indicating sensitive data pruning.
  • +1/-1     

    💡 PR-Agent usage: Comment /help "your question" on any pull request to receive relevant information

    Summary by Sourcery

    Fix code scanning alert by removing clear-text logging of sensitive information in the _validate_result method, ensuring sensitive data is not exposed in logs.

    Bug Fixes:

    • Prevent clear-text logging of sensitive information by modifying the log statement in the _validate_result method to exclude sensitive result data.

    …ation
    
    Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
    Signed-off-by: KhulnaSoft bot <[email protected]>
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    deepsource-io bot commented Oct 5, 2024

    Here's the code health analysis summary for commits ae81d7b..f8dbe9b. View details on DeepSource ↗.

    Analysis Summary

    AnalyzerStatusSummaryLink
    DeepSource Python LogoPython✅ SuccessView Check ↗
    DeepSource Docker LogoDocker✅ SuccessView Check ↗

    💡 If you’re a repository administrator, you can configure the quality gates from the settings.

    @khulnasoft-bot khulnasoft-bot marked this pull request as ready for review October 5, 2024 06:48
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    sourcery-ai bot commented Oct 5, 2024

    Reviewer's Guide by Sourcery

    This pull request addresses a code scanning alert by modifying the logging of sensitive information in the _validate_result method. The change replaces the direct logging of potentially sensitive data with a generic message, improving security while maintaining useful logging for debugging purposes.

    Sequence diagram for logging sensitive data in _validate_result method

    sequenceDiagram
        participant User
        participant System
        participant Logger
    
        User->>System: Call _validate_result(result, level, max_recursion)
        alt level == max_recursion
            System->>Logger: Log "Sensitive data has been pruned."
        else
            System->>Logger: Log other information
        end
    
    Loading

    File-Level Changes

    Change Details Files
    Modify logging statement to exclude sensitive data
    • Replace log message containing result object with a generic message
    • Update log message to indicate that sensitive data has been pruned
    • Maintain the max_recursion level information in the log message
    api_app/analyzers_manager/classes.py

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    PR Reviewer Guide 🔍

    Here are some key observations to aid the review process:

    ⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪
    🧪 No relevant tests
    🔒 No security concerns identified
    ⚡ Recommended focus areas for review

    Security Improvement
    The PR removes logging of sensitive data and replaces it with a generic message. This change addresses a security concern but may impact debugging capabilities.

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    We have skipped reviewing this pull request. It seems to have been created by a bot (hey, khulnasoft-bot!). We assume it knows what it's doing!

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    PR Code Suggestions ✨

    Explore these optional code suggestions:

    CategorySuggestion                                                                                                                                    Score
    Enhancement
    Enhance log message with more specific information about the pruned data type

    Consider using a more specific log message that includes the type of data being
    pruned, without revealing sensitive information. This can help with debugging and
    understanding the system's behavior.

    api_app/analyzers_manager/classes.py [79-82]

     logger.info(
    -    f"We have reached max_recursion {max_recursion} level. "
    -    "Sensitive data has been pruned."
    +    f"Max recursion level ({max_recursion}) reached. "
    +    f"Pruning {type(result).__name__} object to prevent nested object exception."
     )
    • Apply this suggestion
    Suggestion importance[1-10]: 8

    Why: The suggestion improves the log message by providing more specific information about the type of data being pruned, which can aid in debugging and understanding the system's behavior without exposing sensitive information.

    8
    Best practice
    Use a constant for the maximum recursion level instead of a hardcoded value

    Consider using a constant for the maximum recursion level instead of hardcoding the
    value. This would improve maintainability and make it easier to adjust the limit if
    needed in the future.

    api_app/analyzers_manager/classes.py [75]

    -def _validate_result(self, result, level=0, max_recursion=190):
    +MAX_RECURSION_LEVEL = 190
     
    +def _validate_result(self, result, level=0, max_recursion=MAX_RECURSION_LEVEL):
    +
    • Apply this suggestion
    Suggestion importance[1-10]: 7

    Why: Using a constant for the maximum recursion level enhances maintainability and flexibility, making it easier to adjust the limit in the future if needed. This is a good practice for improving code readability and maintainability.

    7

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