LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software

LogicEval is a systematic framework to rigorously evaluate automated program repair (APR) techniques for fixing logical vulnerabilities in real-world software. It addresses a critical gap in APR by providing metrics for correctness, functional preservation, and side-effect avoidance, advancing software security.

advancedSeveral hours to days4 steps

The play

Identify Logical Vulnerabilities
Pinpoint specific logical flaws (e.g., incorrect conditions, flawed state transitions, improper access control) in a target software system. Use static analysis, dynamic analysis, or manual code review. Document exact trigger conditions and expected correct behavior.
Select & Prepare Target Software
Choose a representative real-world software project with known or intentionally introduced logical vulnerabilities. Fork an open-source project or create an MVP. Ensure the software has a comprehensive test suite to validate non-vulnerable functionality.
Apply Automated Repair Technique (ART)
Execute the Automated Repair Technique (ART) under evaluation on the identified vulnerable code sections. Integrate the ART into your build/testing pipeline, providing it with the vulnerable code and any necessary context (e.g., failing test cases). The ART should attempt to generate a patch.
Evaluate Patch with LogicEval Metrics
Rigorously assess the generated patch. First, develop and execute specific test cases to confirm the logical vulnerability is fully fixed. Second, run the software's existing comprehensive test suite to ensure the patch preserves functionality and introduces no regressions. Finally, analyze the patch for any unintended side effects or new vulnerabilities.

Starter code

import requests

def test_payment_bypass_vulnerability(base_url="http://localhost:8080/checkout"):
    """Simulates an attacker trying to bypass payment by manipulating a URL parameter."""
    # This assumes a vulnerable endpoint where 'status=paid' might be accepted directly
    response = requests.get(f"{base_url}?order_id=123&status=paid")

    # Assert that the bypass failed and payment is still required
    # Replace with actual expected response from your system (e.g., specific error message, redirect)
    assert "Payment Required" in response.text or response.status_code == 403, \
        "Expected payment bypass to fail, but it might have succeeded!"
    assert "Order 123 paid" not in response.text, \
        "Vulnerability detected: Order marked as paid without proper process."
    print("Logical vulnerability test passed: Payment bypass prevented (or no vulnerability found).")

# To run this, ensure your target application is running and accessible at base_url
# test_payment_bypass_vulnerability()