Description: The AnalyzeText endpoint returns detailed exception messages to clients on failures
(StatusCode 500 with ex.Message), which can leak sensitive internal information and aid
attackers in reconnaissance.
FuzzySharpController.cs [41-58]

public async Task<IActionResult> AnalyzeText([FromBody] string text)
{
    try
    {
        if (string.IsNullOrWhiteSpace(text))
        {
            return BadRequest(new { error = "Text is required" });
        }

        var result = await _phraseService.SearchPhrasesAsync(text);
        return Ok(result);
    }
    catch (Exception ex)
    {
        _logger.LogError(ex, "Error analyzing and searching entities");
        return StatusCode(500, new { error = $"Error analyzing and searching entities: {ex.Message}" });
    }
}

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Follow the guide to enable codebase context checks.

Objective: Ensure all identifiers clearly express their purpose and intent, making code
self-documenting

Status: Passed

Learn more about managing compliance generic rules or creating your own custom rules

Objective: Ensure comprehensive error handling that provides meaningful context and graceful
degradation

Status:
Leaky error message: The controller returns a 500 with the raw exception message in the response body, exposing
internal details and lacking safe, actionable context for clients.

catch (Exception ex)
{
    _logger.LogError(ex, "Error analyzing and searching entities");
    return StatusCode(500, new { error = $"Error analyzing and searching entities: {ex.Message}" });
}

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Objective: To prevent the leakage of sensitive system information through error messages while
providing sufficient detail for internal debugging.

Status:
Internal details exposed: The 500 response includes the exception message string in the user-facing payload,
potentially exposing internal system details.

    _logger.LogError(ex, "Error analyzing and searching entities");
    return StatusCode(500, new { error = $"Error analyzing and searching entities: {ex.Message}" });
}

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Objective: To create a detailed and reliable record of critical system actions for security analysis
and compliance.

Status:
Missing audit logs: The new analyze-text endpoint performs a critical text analysis action but does not emit
structured audit logs capturing who invoked it, the action, and outcome; only an internal
error log exists on failure.

public async Task<IActionResult> AnalyzeText([FromBody] string text)
{
    try
    {
        if (string.IsNullOrWhiteSpace(text))
        {
            return BadRequest(new { error = "Text is required" });
        }

        var result = await _phraseService.SearchPhrasesAsync(text);
        return Ok(result);
    }
    catch (Exception ex)
    {
        _logger.LogError(ex, "Error analyzing and searching entities");
        return StatusCode(500, new { error = $"Error analyzing and searching entities: {ex.Message}" });
    }
}

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Objective: To ensure logs are useful for debugging and auditing without exposing sensitive
information like PII, PHI, or cardholder data.

Status:
Log data sensitivity: Informational logs include counts, file paths, and potentially source identifiers; while
no PII is evident, the sensitivity of logged source names and paths requires verification
against policy.

        var terms = await LoadCsvFileAsync(filePath);
        vocabulary[source] = terms;
        _logger.LogInformation($"Loaded {terms.Count} terms for source '{source}' from {filePath}");
    }
    catch (Exception ex)
    {
        _logger.LogError(ex, $"Error loading CSV file for source '{source}': {filePath}");
    }
}

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Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent
vulnerabilities

Status:
Minimal input validation: The API only checks for empty text and forwards raw content to processing without limits
or sanitation, lacking validation for size, encoding, or malicious payloads.

if (string.IsNullOrWhiteSpace(text))
{
    return BadRequest(new { error = "Text is required" });
}

var result = await _phraseService.SearchPhrasesAsync(text);
return Ok(result);

Learn more about managing compliance generic rules or creating your own custom rules

The current implementation uses local CSV files for data, which is unsuitable
for production. Refactor the data loading to integrate with the platform's
architecture by fetching data from a database or a dedicated service.

Examples:

        public async Task<Dictionary<string, HashSet<string>>> LoadVocabularyAsync(string? foldername)
        {
            var vocabulary = new Dictionary<string, HashSet<string>>();

            if (string.IsNullOrEmpty(foldername))
            {
                return vocabulary;
            }

            // Load CSV files from the folder

 ... (clipped 85 lines)

Solution Walkthrough:

Before:

// In VocabularyService.cs
public class VocabularyService : IVocabularyService
{
    public async Task<Dictionary<string, HashSet<string>>> LoadVocabularyAsync(string? foldername)
    {
        // ...
        var searchFolder = Path.Combine(AppContext.BaseDirectory, "data", "plugins", "fuzzySharp", foldername);
        var csvFiles = Directory.GetFiles(searchFolder, "*.csv");
        // ... load from files
    }

    public async Task<Dictionary<string, (string, string)>> LoadDomainTermMappingAsync(string? filename)
    {
        // ...
        var searchFolder = Path.Combine(AppContext.BaseDirectory, "data", "plugins", "fuzzySharp");
        var filePath = Path.Combine(searchFolder, filename);
        // ... load from file
    }
}

After:

// In VocabularyService.cs
public class VocabularyService : IVocabularyService
{
    private readonly IMyDatabaseService _dbService; // or a DbContext

    public VocabularyService(IMyDatabaseService dbService)
    {
        _dbService = dbService;
    }

    public async Task<Dictionary<string, HashSet<string>>> LoadVocabularyAsync(string? vocabularySourceId)
    {
        // Fetch vocabulary from a database or central service
        var vocabularyData = await _dbService.GetVocabularyByIdAsync(vocabularySourceId);
        // ... process data into the required dictionary format
        return processedVocabulary;
    }

    public async Task<Dictionary<string, (string, string)>> LoadDomainTermMappingAsync(string? mappingSourceId)
    {
        // Fetch domain terms from a database or central service
        var mappingData = await _dbService.GetDomainTermMappingAsync(mappingSourceId);
        // ... process data into the required dictionary format
        return processedMapping;
    }
}

Optimize the Normalize method for performance by pre-compiling the regular
expression and reordering the string manipulation operations.

src/Plugins/BotSharp.Plugin.FuzzySharp/Services/Matching/FuzzyMatcher.cs [74-80]

+private static readonly Regex NormalizationRegex = new Regex(@"[^\w']+", RegexOptions.Compiled);
+
 private string Normalize(string text)
 {
-    // Replace non-word characters (except apostrophes) with spaces
-    var normalized = Regex.Replace(text, @"[^\w']+", " ", RegexOptions.IgnoreCase);
-    // Convert to lowercase, collapse multiple spaces, and trim
-    return Regex.Replace(normalized.ToLowerInvariant(), @"\s+", " ").Trim();
+    // Convert to lowercase first
+    var lowerText = text.ToLowerInvariant();
+    // Replace non-word characters (except apostrophes) with a single space
+    var normalized = NormalizationRegex.Replace(lowerText, " ");
+    // Trim and collapse multiple spaces that might be introduced
+    return Regex.Replace(normalized, @"\s+", " ").Trim();
 }

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Improve the performance of ExtractContentSpan by replacing LINQ's Skip and Take
methods with the more efficient List.GetRange.

src/Plugins/BotSharp.Plugin.FuzzySharp/Services/Processors/NgramProcessor.cs [124-132]

 private (string ContentSpan, List<string> Tokens, List<int> ContentIndices) ExtractContentSpan(
     List<string> tokens, 
     int startIdx, 
     int n)
 {
-    var span = tokens.Skip(startIdx).Take(n).ToList();
+    var span = tokens.GetRange(startIdx, n);
     var indices = Enumerable.Range(startIdx, n).ToList();
     return (string.Join(" ", span), span, indices);
 }

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Add a null check for the request object and avoid returning raw exception
messages; instead return a generic error. This prevents null-reference issues
and leaking internal details.

src/Plugins/BotSharp.Plugin.FuzzySharp/Controllers/FuzzySharpController.cs [42-59]

-public async Task<IActionResult> AnalyzeText([FromBody] TextAnalysisRequest request)
+public async Task<IActionResult> AnalyzeText([FromBody] TextAnalysisRequest? request)
 {
     try
     {
-        if (string.IsNullOrWhiteSpace(request.Text))
+        if (request == null || string.IsNullOrWhiteSpace(request.Text))
         {
             return BadRequest(new { error = "Text is required" });
         }
 
         var result = await _textAnalysisService.AnalyzeTextAsync(request);
         return Ok(result);
     }
     catch (Exception ex)
     {
         _logger.LogError(ex, "Error analyzing text");
-        return StatusCode(500, new { error = $"Error analyzing text: {ex.Message}" });
+        return StatusCode(500, new { error = "Error analyzing text" });
     }
 }

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• Create ticket/issue

Follow the guide to enable codebase context checks.

Objective: Ensure all identifiers clearly express their purpose and intent, making code
self-documenting

Status: Passed

Learn more about managing compliance generic rules or creating your own custom rules

Objective: To prevent the leakage of sensitive system information through error messages while
providing sufficient detail for internal debugging.

Status:
Leaky error detail: The endpoint returns the internal exception message to the client in the 500 response,
exposing internal details.

    _logger.LogError(ex, "Error analyzing and searching entities");
    return StatusCode(500, new { error = $"Error analyzing and searching entities: {ex.Message}" });
}

Learn more about managing compliance generic rules or creating your own custom rules

Objective: To create a detailed and reliable record of critical system actions for security analysis
and compliance.

Status:
Missing auditing: The new analyze-text endpoint performs analysis without emitting audit logs for the
critical API action (who called, what input length, outcome), making event reconstruction
unclear.

[HttpPost("fuzzy-sharp/analyze-text")]
[ProducesResponseType(typeof(List<SearchPhrasesResult>), StatusCodes.Status200OK)]
[ProducesResponseType(StatusCodes.Status400BadRequest)]
[ProducesResponseType(StatusCodes.Status500InternalServerError)]
public async Task<IActionResult> AnalyzeText([FromBody] string text)
{
    try
    {
        if (string.IsNullOrWhiteSpace(text))
        {
            return BadRequest(new { error = "Text is required" });
        }

        var result = await _phraseService.SearchPhrasesAsync(text);
        return Ok(result);
    }

Learn more about managing compliance generic rules or creating your own custom rules

Objective: Ensure comprehensive error handling that provides meaningful context and graceful
degradation

Status:
Generic 500 error: The controller returns a 500 with exception message concatenated into the user response
and lacks validation of large inputs or bounds for parameters, indicating incomplete
edge-case handling.

    catch (Exception ex)
    {
        _logger.LogError(ex, "Error analyzing and searching entities");
        return StatusCode(500, new { error = $"Error analyzing and searching entities: {ex.Message}" });
    }
}

Learn more about managing compliance generic rules or creating your own custom rules

Objective: To ensure logs are useful for debugging and auditing without exposing sensitive
information like PII, PHI, or cardholder data.

Status:
Potential PII logs: Logging statements may include file paths and counts, and the controller logs errors with
exceptions; without redaction policies, vocabulary contents or terms from external CSV may
inadvertently surface in logs.

            var terms = await LoadCsvFileAsync(filePath);
            vocabulary[source] = terms;
            _logger.LogInformation($"Loaded {terms.Count} terms for source '{source}' from {filePath}");
        }
        catch (Exception ex)
        {
            _logger.LogError(ex, $"Error loading CSV file for source '{source}': {filePath}");
        }
    }

    return vocabulary;
}

[SharpCache(60)]
public async Task<Dictionary<string, (string DbPath, string CanonicalForm)>> LoadSynonymMappingAsync()
{
    string filename = "";
    var result = new Dictionary<string, (string DbPath, string CanonicalForm)>();
    if (string.IsNullOrWhiteSpace(filename))
    {
        return result;


 ... (clipped 47 lines)

Learn more about managing compliance generic rules or creating your own custom rules

Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent
vulnerabilities

Status:
Minimal validation: The analyze-text API only checks for empty text and does not enforce length limits, rate
limits, or validate CSV-driven vocabulary inputs, which could allow resource abuse or
unsafe data handling.

if (string.IsNullOrWhiteSpace(text))
{
    return BadRequest(new { error = "Text is required" });
}

var result = await _phraseService.SearchPhrasesAsync(text);
return Ok(result);

Learn more about managing compliance generic rules or creating your own custom rules

The plugin is non-functional as it fails to load vocabulary and synonym data due
to hardcoded empty file paths in CsvPhraseCollectionLoader. Implement a
configuration mechanism, such as using appsettings.json, to provide the
necessary file paths.

Examples:

        string foldername = "";
        var vocabulary = new Dictionary<string, HashSet<string>>();

        if (string.IsNullOrEmpty(foldername))
        {
            return vocabulary;

        string filename = "";
        var result = new Dictionary<string, (string DbPath, string CanonicalForm)>();
        if (string.IsNullOrWhiteSpace(filename))
        {
            return result;

Solution Walkthrough:

Before:

// In CsvPhraseCollectionLoader.cs
public class CsvPhraseCollectionLoader : IPhraseCollection
{
    public async Task<Dictionary<string, HashSet<string>>> LoadVocabularyAsync()
    {
        string foldername = ""; // Hardcoded empty string
        var vocabulary = new Dictionary<string, HashSet<string>>();

        if (string.IsNullOrEmpty(foldername))
        {
            return vocabulary; // Always returns empty
        }
        // ... logic to load vocabulary ...
    }

    public async Task<Dictionary<string, (string, string)>> LoadSynonymMappingAsync()
    {
        string filename = ""; // Hardcoded empty string
        if (string.IsNullOrWhiteSpace(filename))
        {
            return new Dictionary<string, (string, string)>(); // Always returns empty
        }
        // ... logic to load synonyms ...
    }
}

After:

// In CsvPhraseCollectionLoader.cs
public class CsvPhraseCollectionLoader : IPhraseCollection
{
    private readonly MyPluginSettings _settings;

    public CsvPhraseCollectionLoader(MyPluginSettings settings, ...)
    {
        _settings = settings;
    }

    public async Task<Dictionary<string, HashSet<string>>> LoadVocabularyAsync()
    {
        string foldername = _settings.VocabularyFolderName; // From config
        if (string.IsNullOrEmpty(foldername))
        {
            return new Dictionary<string, HashSet<string>>();
        }
        // ... logic to load vocabulary ...
    }

    public async Task<Dictionary<string, (string, string)>> LoadSynonymMappingAsync()
    {
        string filename = _settings.SynonymMappingFile; // From config
        if (string.IsNullOrWhiteSpace(filename))
        {
            return new Dictionary<string, (string, string)>();
        }
        // ... logic to load synonyms ...
    }
}

Prefer async/await over ContinueWith to avoid sync waits, improve readability,
and ensure proper exception/stack propagation. Await the analysis task and then
map the results.

src/Plugins/BotSharp.Plugin.FuzzySharp/Services/PhraseService.cs [31-47]

-public Task<List<SearchPhrasesResult>> SearchPhrasesAsync(string term)
+public async Task<List<SearchPhrasesResult>> SearchPhrasesAsync(string term)
 {
     var request = BuildTextAnalysisRequest(term);
-    var response = AnalyzeTextAsync(request);
-    return response.ContinueWith(t =>
+    var response = await AnalyzeTextAsync(request);
+    var results = response.Flagged.Select(f => new SearchPhrasesResult
     {
-        var results = t.Result.Flagged.Select(f => new SearchPhrasesResult
-        {
-            Token = f.Token,
-            Sources = f.Sources,
-            CanonicalForm = f.CanonicalForm,
-            MatchType = f.MatchType,
-            Confidence = f.Confidence
-        }).ToList();
-        return results;
-    });
+        Token = f.Token,
+        Sources = f.Sources,
+        CanonicalForm = f.CanonicalForm,
+        MatchType = f.MatchType,
+        Confidence = f.Confidence
+    }).ToList();
+    return results;
 }

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