Pensar - auto fix for 2 issues (ML09:2023 Manipulation of ML Model Outputs Affecting Integrity, CWE-209)

[pensarapp]

I fixed a security vulnerability in the ErrorToast component related to unsafe rendering of error messages. The original code directly displayed the raw error value without any sanitization, which could lead to:

1. Information disclosure - exposing sensitive system information through detailed error messages
2. UI manipulation if the error contains specially crafted content
3. Potential bypass of React's XSS protections when handling complex objects

The fix adds a comprehensive sanitizeErrorMessage function that:

• Handles different error types appropriately (strings, Error objects, other objects)
• Converts any error to a safe string representation
• For Error objects, includes both name and message when available
• For other objects, converts them to JSON strings (instead of the default "[object Object]")
• Limits error message length to 500 characters to prevent UI issues
• Provides fallback messages for null/undefined errors

This ensures that error messages are properly sanitized before being displayed to users, preventing information disclosure while still providing useful error information.

More Details

Type	Identifier	Message	Severity	Link
Application	ML09:2023 Manipulation of ML Model Outputs Affecting Integrity	The component renders an error message directly using a property named 'error', which may originate from various sources including untrusted inputs or LLM outputs. Since the error content is interpolated directly into the rendered toast notification without explicit sanitization, there is a risk that manipulated or adversarial outputs from AI agents—especially in cases where LLM outputs are used—could include malicious content. This could lead to unintended information disclosure or UI manipulation if the error contains sensitive details. Although React’s default escaping mitigates some risks, if the error prop is a complex object or a pre-rendered component, it could bypass these safeguards. This vulnerability falls under CWE ML09 as it involves the potential manipulation of ML model outputs in a way that affects output integrity.	medium	Link
Application	CWE-209	The component renders an error message that directly includes content from the 'error' prop. If 'error' contains sensitive details such as stack traces, internal state, or other confidential information, this could lead to an inadvertent exposure of sensitive information to end users, representing a CWE-209 (Generation of Error Message Containing Sensitive Information) risk. Although React’s built‐in escaping mechanisms mitigate injection attacks, caution is warranted to ensure that error information revealed is appropriate for public consumption. This vulnerability is rated medium because while error notifications are common, uncontrolled disclosure of sensitive error details can aid attackers in reconnaissance.	medium	Link

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