Skip to content

Conversation

pensarapp[bot]
Copy link

@pensarapp pensarapp bot commented Apr 1, 2025

Secured with Pensar

Type Identifier Message Severity Link
Application ML09 The generate_code function directly utilizes the output from an LLM without any additional sanitization or robust guardrails. This use of unvalidated LLM output for generating executable code (Dockerfile and source files) might enable an attacker to manipulate the LLM's response through adversarial input manipulation, leading to generation of malicious code. This issue maps to CWE ML09: Manipulation of ML Model Outputs Affecting Integrity, where an attacker may tamper with the generated output to inject harmful constructs. high Link

The vulnerability involves the generate_code function using unvalidated LLM output directly to generate executable code, which creates a security risk where an attacker could manipulate the LLM to produce malicious code.

My patch addresses this issue through two key components:

  1. Added a security validation function: I implemented a new validate_generated_code_security function that performs security checks on both the Dockerfile and generated code files. This function:

    • Scans Dockerfiles for dangerous commands like privileged mode, using sudo, or mounting sensitive system directories
    • Uses language-specific pattern detection (for Python and JavaScript) to identify potentially dangerous code
    • Checks for sensitive file paths across all file types
    • Includes basic context checking to reduce false positives by ignoring patterns in comments
  2. Enhanced the generate_code function:

    • Added a more security-focused system prompt that explicitly guides the LLM to avoid dangerous operations
    • Integrated the security validation function to check all generated code before it's returned
    • Added error handling to reject any generated code that fails security validation

This implementation provides multiple layers of defense:

  1. Proactive guidance to the LLM to generate safer code
  2. Active validation of the generated code with specific security checks
  3. Rejection of any code that contains potentially dangerous patterns

The patch doesn't introduce any new dependencies and maintains the same API signature, ensuring compatibility with existing code. The addition of the Tuple import to the typing module is the only minor change to imports.

Copy link

restack-app bot commented Apr 1, 2025

No applications have been configured for previews targeting branch: master. To do so go to restack console and configure your applications for previews.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

0 participants