Zoncolan: How Facebook uses static analysis to detect and prevent security issues

Facebook’s web codebase currently contains more than 100 million lines of Hack code, and changes thousands of times per day. To handle the sheer volume of code, we build sophisticated systems that …

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Francesco Logozzo
•9 min read•intermediate•
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CSRF

Overview

The article discusses Zoncolan, a static analysis tool developed by Facebook to enhance security by automatically detecting potential security and privacy issues in their extensive Hack codebase. It highlights how Zoncolan enables security engineers to efficiently analyze code changes and prevent vulnerabilities before they reach production.

What You'll Learn

1

How to use static analysis to detect security issues in code

2

Why abstract interpretation is effective for tracking user-controlled input

3

How to create and refine static analysis rules for security

Prerequisites & Requirements

  • Understanding of static analysis concepts
  • Familiarity with Hack programming language(optional)

Key Questions Answered

How does Zoncolan help prevent security issues in Facebook's codebase?
Zoncolan uses static analysis to automatically examine Facebook's Hack codebase, which contains over 100 million lines of code. It allows security engineers to analyze code changes quickly, identifying potential vulnerabilities in less than 30 minutes, a task that would take months manually. Since its deployment, it has prevented thousands of security issues.
What is abstract interpretation and how is it used in Zoncolan?
Abstract interpretation is a technique used by Zoncolan to track user-controlled input through the codebase. It builds data structures representing function behavior and evaluates all possible control paths, allowing it to identify potential security flows without executing the code, which is crucial for detecting vulnerabilities.
What types of security issues can Zoncolan detect?
Zoncolan can detect various classes of security vulnerabilities by tracking data flows from sources to sinks within the code. It identifies issues related to user-controlled inputs and their potential impact on application security, allowing for proactive measures to be taken before code is deployed.
How does Zoncolan improve the efficiency of security engineers?
Zoncolan enhances the efficiency of security engineers by automating the detection of vulnerabilities, allowing them to focus on refining rules and understanding complex issues rather than manually reviewing code. This automation helps in quickly disseminating knowledge of new bug types through codified rules.

Key Statistics & Figures

Lines of Hack code in Facebook's web codebase
over 100 million
This vast codebase necessitates the use of automated tools like Zoncolan for effective security management.
Time taken by Zoncolan to analyze the entire codebase
less than 30 minutes
This efficiency allows for rapid feedback on code changes, significantly speeding up the security review process.
Security issues found and triaged in 2018
more than 1,100
These issues were of significant severity, indicating the critical role Zoncolan plays in maintaining application security.

Technologies & Tools

Programming Language
Hack
The primary language used in Facebook's web codebase, which Zoncolan analyzes for security vulnerabilities.

Key Actionable Insights

1
Implement Zoncolan-like static analysis tools in your development workflow to catch security issues early.
By integrating static analysis tools, teams can identify vulnerabilities before they reach production, reducing the risk of security breaches and improving overall code quality.
2
Regularly update and refine your static analysis rules based on new vulnerabilities discovered.
As new types of vulnerabilities emerge, keeping your analysis rules current ensures that your codebase remains secure and that developers are educated on the latest security practices.
3
Leverage abstract interpretation techniques to enhance your static analysis capabilities.
Understanding and applying abstract interpretation can significantly improve the detection of complex security flows, making your analysis more robust and effective.

Common Pitfalls

1
Relying solely on manual code reviews can lead to missed vulnerabilities.
Manual reviews are time-consuming and prone to human error, making them less effective than automated tools like Zoncolan that can analyze vast amounts of code quickly.

Related Concepts

Static Analysis
Security Vulnerabilities
Abstract Interpretation
Bug Bounty Programs