Pensar - auto fix for Unvalidated LLM Output Used for Code Generation and Execution #18
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
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:
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:Enhanced the
generate_code
function:This implementation provides multiple layers of defense:
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.