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Attack Surface Analysis for alibaba/p3c

  • Description: Poorly written or malicious custom PMD rules can introduce vulnerabilities or mask existing ones. This is the most significant P3C-specific risk.
    • How P3C Contributes: P3C's extensibility via custom rules creates this attack surface. The framework itself encourages custom rule creation.
    • Example: A custom rule intended to detect hardcoded secrets might have a regular expression flaw that allows an attacker to craft a specific input that causes excessive backtracking, leading to a denial-of-service during static analysis. Another example: a custom rule designed to prevent a specific type of injection flaw might have a logic error that causes it to miss valid attack instances (false negative).
    • Impact:
      • Denial of Service (DoS) of the build/CI/CD pipeline.
      • False negatives, leading to undetected vulnerabilities in the application.
      • False positives, wasting developer time and potentially introducing new vulnerabilities.
      • (Extremely unlikely) Potential for code execution during static analysis (requires a pre-existing vulnerability in PMD itself).
    • Risk Severity: High (DoS and false negatives are significant risks).
    • Mitigation Strategies:
      • Rigorous Code Review: All custom rules must undergo thorough code review by security experts and experienced developers.
      • Testing: Extensive testing of custom rules, including unit tests, integration tests, and fuzzing with a wide variety of valid and invalid code inputs.
      • Best Practices: Follow established best practices for PMD rule development (e.g., avoid complex regular expressions, handle exceptions properly, optimize for performance).
      • Resource Limits: Implement resource limits (CPU, memory, time) on the PMD execution environment to prevent DoS attacks.
      • Regular Updates: Keep PMD updated to the latest version to benefit from security patches and improvements.
  • Description: Disabling or misconfiguring standard P3C rules can weaken security by allowing vulnerabilities that the rules were designed to detect.
    • How P3C Contributes: P3C provides a set of standard rules, and the user has the ability to configure (enable/disable/modify) them.
    • Example: Disabling a rule that checks for proper input validation, increasing the risk of SQL injection or cross-site scripting (XSS) vulnerabilities. Another example: modifying a rule's threshold to be too lenient, allowing potentially dangerous code patterns to pass.
    • Impact: Increased likelihood of common vulnerabilities (e.g., injection flaws, XSS, insecure deserialization) being present in the application.
    • Risk Severity: High (depending on which rules are misconfigured).
    • Mitigation Strategies:
      • Justification: Require clear justification and documentation for any deviations from the default P3C ruleset.
      • Version Control: Track changes to the PMD configuration using a version control system.
      • Regular Audits: Periodically audit the configuration to ensure it aligns with security requirements and best practices.
      • Automated Checks: Use automated tools to verify that the configuration meets certain security standards.