pyrit.score.InsecureCodeScorer#
- class InsecureCodeScorer(*, chat_target: PromptChatTarget, system_prompt_path: str | Path | None = None, validator: ScorerPromptValidator | None = None)[source]#
Bases:
FloatScaleScorerA scorer that uses an LLM to evaluate code snippets for potential security vulnerabilities. Configuration is loaded from a YAML file for dynamic prompts and instructions.
- __init__(*, chat_target: PromptChatTarget, system_prompt_path: str | Path | None = None, validator: ScorerPromptValidator | None = None)[source]#
Initialize the Insecure Code Scorer.
- Parameters:
chat_target (PromptChatTarget) – The target to use for scoring code security.
system_prompt_path (Optional[Union[str, Path]]) – Path to the YAML file containing the system prompt. Defaults to the default insecure code scoring prompt if not provided.
validator (Optional[ScorerPromptValidator]) – Custom validator for the scorer. Defaults to None.
Methods
__init__(*, chat_target[, ...])Initialize the Insecure Code Scorer.
get_identifier()Get an identifier dictionary for the scorer.
get_scorer_metrics(dataset_name[, metrics_type])Get evaluation statistics for the scorer using the dataset_name of the human labeled dataset.
scale_value_float(value, min_value, max_value)Scales a value from 0 to 1 based on the given min and max values.
score_async(message, *[, objective, ...])Score the message, add the results to the database, and return a list of Score objects.
score_image_async(image_path, *[, objective])Score the given image using the chat target.
score_image_batch_async(*, image_paths[, ...])Score a batch of images asynchronously.
score_prompts_batch_async(*, messages[, ...])Score multiple prompts in batches using the provided objectives.
score_response_async(*, response[, ...])Score a response using an objective scorer and optional auxiliary scorers.
score_response_multiple_scorers_async(*, ...)Score a response using multiple scorers in parallel.
score_text_async(text, *[, objective])Scores the given text based on the task using the chat target.
validate_return_scores(scores)Validate that the returned scores are within the valid range [0, 1].
Attributes
scorer_type