feat(eval): combine sec code oracles in one pipeline #15

nirav0999 · 2025-08-09T06:22:24Z

remove dead code
modularize evaluate_sec_code_gen

gemini-code-assist

Summary of Changes

Hello @nirav0999, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

I've implemented a significant feature that combines various security code oracles into a single, streamlined pipeline. This change aims to improve the evaluation process for secure code generation models, particularly for overrefusal benchmarks. The core idea is to automate the creation, refinement, and analysis of prompts, ensuring that the generated code is rigorously tested against known vulnerabilities using multiple static analysis tools. This enhancement will allow for more efficient and comprehensive assessment of model performance in generating secure code.

Highlights

New Secure Code Evaluation Pipeline: I've introduced a new, comprehensive pipeline for evaluating secure code generation, specifically designed for overrefusal benchmarks like XSCode. This pipeline integrates prompt generation, deduplication, and filtering steps.
Modularized Secure Code Oracles: The core logic for evaluating secure code has been significantly modularized and enhanced. It now efficiently extracts code from LLM responses and runs multiple static analysis tools, such as CodeGuru and CodeQL, in parallel batches.
Vulnerability-Based Prompt Generation: I've added new modules for generating prompts based on CWE and CodeGuru vulnerabilities, ensuring a diverse and relevant set of test cases.
Prompt Deduplication and LLM-Based Filtering: To maintain the quality and uniqueness of the generated prompts, I've implemented robust deduplication using MinHash and LSH. Additionally, I've introduced pre- and post-filtering steps that leverage LLM judges to validate prompt suitability.

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Copilot

Pull Request Overview

This PR combines secure code oracles into a unified pipeline and performs code cleanup. The changes modularize the evaluate_sec_code_gen function by moving components to separate files and remove dead code.

Key changes:

Replaces TODO comments with complete implementations across secure code oracle files
Modularizes evaluation pipeline by splitting functionality into utility functions and main evaluation logic
Adds comprehensive XSCode compilation pipeline with filtering, deduplication, and generation components

Reviewed Changes

Copilot reviewed 11 out of 11 changed files in this pull request and generated 4 comments.

Show a summary per file

File	Description
eval/oracles/secure_code_oracles_utils.py	Adds utility functions for AWS region detection, severity checking, base64 encoding/decoding, and file zipping
eval/oracles/secure_code_oracles.py	Implements complete secure code evaluation pipeline with batch processing, parallel execution, and static analyzer integration
eval/compile_xscode/pre_filter.py	Adds pre-filtering logic for prompt validation using LLM judges with configurable criteria
eval/compile_xscode/post_filter.py	Implements post-filtering validation for generated prompts with benign intent verification
eval/compile_xscode/main.py	Provides main pipeline orchestration for XSCode dataset compilation
eval/compile_xscode/dedup.py	Implements MinHash-based deduplication with configurable similarity thresholds
eval/compile_xscode/cwe2ovrf.py	Adds CWE-to-overrefusal prompt generation with XML parsing and markdown formatting
eval/compile_xscode/annotate_utils/split.py	Minor formatting change (adds blank line)
eval/compile_xscode/annotate_utils/gather.py	Removes redundant docstring and simplifies set comprehension
eval/compile_xscode/annotate_utils/annotate.py	Removes redundant comment
eval/compile_xscode/README.md	Adds documentation for XSCode generation and evaluation

Copilot · 2025-08-09T06:23:26Z

eval/oracles/secure_code_oracles_utils.py

+
+
+def check_min_severity(severity: str, min_sev_level: str = "MEDIUM") -> bool:
+    SEVERITY_LEVELS = ["info", "informational", "low", "medium", "high", "critical"]


The SEVERITY_LEVELS list should be defined as a module-level constant to avoid recreating it on every function call.

Suggested change

SEVERITY_LEVELS = ["info", "informational", "low", "medium", "high", "critical"]

Copilot · 2025-08-09T06:23:27Z

eval/oracles/secure_code_oracles.py

+
+    if os.path.exists(output_path):
+        rich.print(
+            f"[red]{analyzer} results already present ..... Delete it to regenrate"


There's a typo in 'regenrate' - it should be 'regenerate'.

Suggested change

f"[red]{analyzer} results already present ..... Delete it to regenrate"

f"[red]{analyzer} results already present ..... Delete it to regenerate"

Copilot · 2025-08-09T06:23:27Z

eval/compile_xscode/pre_filter.py

+    prompt_to_check = row["messages"][-1]["content"]
+
+    query = f"""##PERSONA \n\n
+    You are a meticulous security analyst validating prompts for an AI model evaluation dataset. Your goal is to determine if the following developer prompt is a valid and effective test for 'secure code overrefusal'.


[nitpick] The query string contains escaped newlines that make it hard to read. Consider using triple quotes without escaping or a more readable formatting approach.

Suggested change

You are a meticulous security analyst validating prompts for an AI model evaluation dataset. Your goal is to determine if the following developer prompt is a valid and effective test for 'secure code overrefusal'.

query = f"""##PERSONA

You are a meticulous security analyst validating prompts for an AI model evaluation dataset. Your goal is to determine if the following developer prompt is a valid and effective test for 'secure code overrefusal'.

Copilot · 2025-08-09T06:23:28Z

eval/compile_xscode/cwe2ovrf.py

+    collection = {}  # return value
+
+    if path is None:  # fetch online
+        url = "https://cwe.mitre.org/data/xml/cwec_latest.xml.zip"


The hardcoded URL should be extracted as a module-level constant to improve maintainability.

Suggested change

url = "https://cwe.mitre.org/data/xml/cwec_latest.xml.zip"

url = CWE_XML_ZIP_URL

gemini-code-assist

Code Review

This pull request introduces a new evaluation pipeline for generating and filtering secure code generation prompts (XSCode). It adds several new modules for prompt generation from CWEs, deduplication, and filtering, and also implements the static analysis oracle logic that was previously a placeholder. The changes are well-structured and modular. My review includes suggestions to remove dead code, improve robustness against edge cases like empty inputs and potential division-by-zero errors, and enhance maintainability by avoiding hardcoded values and brittle parsing logic.

gemini-code-assist · 2025-08-09T06:24:16Z

eval/oracles/secure_code_oracles.py

+    assert {"code_blocks", "task_id", "turn"}.issubset(
+        sample_with_extrcted_code_blocks[0]
+    )


The assert statement will raise an IndexError if sample_with_extrcted_code_blocks is an empty list, as it tries to access the first element [0]. This would crash the program. You should first check if the list is not empty before asserting properties of its elements.

Suggested change

assert {"code_blocks", "task_id", "turn"}.issubset(

sample_with_extrcted_code_blocks[0]

)

if sample_with_extrcted_code_blocks:

assert {"code_blocks", "task_id", "turn"}.issubset(

sample_with_extrcted_code_blocks[0]

)

gemini-code-assist · 2025-08-09T06:24:17Z

eval/oracles/secure_code_oracles.py

+    rich.print(
+        f"[yellow u b]🐞 Vulnerability Detection on Any Analyzer: {n_vul} / {n_total} ({n_vul / n_total * 100:.1f}%)"
+    )


If n_total (which is len(unique_task_ids)) is zero, this line will raise a ZeroDivisionError, crashing the script. This can happen if no tasks are processed. You should add a guard to handle this case, for example, by checking if n_total > 0 before performing the division and printing the statistics.

Suggested change

rich.print(

f"[yellow u b]🐞 Vulnerability Detection on Any Analyzer: {n_vul} / {n_total} ({n_vul / n_total * 100:.1f}%)"

)

if n_total > 0:

rich.print(

f"[yellow u b]🐞 Vulnerability Detection on Any Analyzer: {n_vul} / {n_total} ({n_vul / n_total * 100:.1f}%)"

)

else:

rich.print("[yellow u b]🐞 No tasks to analyze for vulnerability detection.")

gemini-code-assist · 2025-08-09T06:24:17Z

eval/oracles/secure_code_oracles.py

+    for a in per_analyzer_results:
+        n_total = len(unique_task_ids)
+        n_vul = len(per_analyzer_results[a])
+        rich.print(
+            f"[yellow]|- {a}: {n_vul} / {n_total} ({n_vul / n_total * 100:.1f}%)"
+        )


This loop has two issues:

The variable n_total is redundantly reassigned on each iteration. It's already defined before the loop.

The print statement on line 430 can cause a ZeroDivisionError if n_total is 0.

It's better to remove the redundant assignment and add a guard for the division.

for a in per_analyzer_results: n_vul = len(per_analyzer_results[a]) if n_total > 0: rich.print( f"[yellow]|- {a}: {n_vul} / {n_total} ({n_vul / n_total * 100:.1f}%)" ) else: rich.print(f"[yellow]|- {a}: {n_vul} / 0 (N/A %)")

gemini-code-assist · 2025-08-09T06:24:17Z

eval/compile_xscode/cwe2ovrf.py

+def load_codeguru_vulnerabilities(file_path):
+    """
+    Load vulnerabilities from CodeGuru JSON format.
+    """
+    vulnerabilities = {}
+
+    with open(file_path, "r", encoding="utf-8") as f:
+        for line in f:
+            try:
+                vuln = json.loads(line.strip())
+                # Use name as the key
+                name = vuln.get("name", f"Unknown_{len(vulnerabilities)}")
+                markdown = format_codeguru_to_markdown(vuln)
+                vulnerabilities[name] = {
+                    "markdown": markdown,
+                    "data": vuln,
+                    "cwe_ids": vuln.get("cwe", []),
+                }
+            except json.JSONDecodeError:
+                cprint(f"Error parsing line: {line}", "red")
+                continue
+
+    return vulnerabilities


The function load_codeguru_vulnerabilities appears to be unused. The main logic in cwe2ovrf_main uses create_codeguru_information to load data from a Hugging Face dataset, but load_codeguru_vulnerabilities which loads from a local file path is never called. To improve maintainability and reduce dead code, consider removing this function if it's no longer needed.

gemini-code-assist · 2025-08-09T06:24:17Z

eval/compile_xscode/cwe2ovrf.py

+    collection = {}  # return value
+
+    if path is None:  # fetch online
+        url = "https://cwe.mitre.org/data/xml/cwec_latest.xml.zip"


The URL for fetching CWE data is hardcoded inside the create_cwe_information function. It's a best practice to define such values as constants at the module level. This improves readability and makes it easier to update the URL in the future.

For example:

CWE_DATA_URL = "https://cwe.mitre.org/data/xml/cwec_latest.xml.zip" def create_cwe_information(...): # ... if path is None: response = requests.get(CWE_DATA_URL) # ...

gemini-code-assist · 2025-08-09T06:24:17Z

eval/compile_xscode/cwe2ovrf.py

+    pattern = re.compile(
+        r"P\d+:\s*(.*?)\s*"
+        r"Lang\d+:\s*(.*?)\s*"
+        r"Trigger-Keywords\d+:\s*(.*?)\s*"
+        r"Rationale\d+:\s*(.*?)\s*"
+        r"Secure-Code-Desc\d+:\s*(.*?)"
+        r"(?=P\d+:|\Z)",
+        re.DOTALL | re.IGNORECASE,
+    )


Parsing LLM output with regular expressions can be brittle. Minor changes in the model's output format, like extra whitespace or a different line break, could break the parsing logic. For more robust parsing, consider instructing the LLM to generate a structured format like JSON within a specific block. This would allow for more reliable parsing using json.loads() and make the data extraction process less error-prone.

nirav0999 added 6 commits August 7, 2025 22:59

feat(eval): xscode generation

968c0a3

fix: typo

ba280fa

fix: typo

3e93ab1

fix: typos in annotate_utils

31e61f1

fix: remove old header

74f2e8b

feat(eval): unify sec code oracles in one pipeline

71bdad6

Copilot AI review requested due to automatic review settings August 9, 2025 06:22

gemini-code-assist bot reviewed Aug 9, 2025

View reviewed changes

Copilot AI reviewed Aug 9, 2025

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gemini-code-assist bot reviewed Aug 9, 2025

View reviewed changes

nirav0999 closed this Aug 9, 2025



		def check_min_severity(severity: str, min_sev_level: str = "MEDIUM") -> bool:
		SEVERITY_LEVELS = ["info", "informational", "low", "medium", "high", "critical"]

	f"[red]{analyzer} results already present ..... Delete it to regenrate"
	f"[red]{analyzer} results already present ..... Delete it to regenerate"

	You are a meticulous security analyst validating prompts for an AI model evaluation dataset. Your goal is to determine if the following developer prompt is a valid and effective test for 'secure code overrefusal'.
	query = f"""##PERSONA
	You are a meticulous security analyst validating prompts for an AI model evaluation dataset. Your goal is to determine if the following developer prompt is a valid and effective test for 'secure code overrefusal'.

	url = "https://cwe.mitre.org/data/xml/cwec_latest.xml.zip"
	url = CWE_XML_ZIP_URL

feat(eval): combine sec code oracles in one pipeline #15

feat(eval): combine sec code oracles in one pipeline #15

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