CWE-609: Double-Checked Locking
Learn about CWE-609 (Double-Checked Locking), its security impact, exploitation methods, and prevention guidelines.
What is Double-Checked Locking?
• Overview: Double-checked locking is a programming pattern used to reduce the overhead of acquiring a lock by first testing the locking criterion without actually acquiring the lock. It seeks to improve performance by avoiding unnecessary synchronization. However, this pattern is flawed in some languages, like Java, due to memory model issues that prevent it from working reliably across all platforms and architectures.
• Exploitation Methods:
- Attackers can exploit this vulnerability by taking advantage of the fact that the double-checked locking pattern does not ensure proper synchronization across threads.
- Common attack patterns involve race conditions where one thread might see a partially initialized object, leading to unpredictable behavior or system crashes.
• Security Impact:
- Direct consequences of successful exploitation can include data corruption, unexpected behavior, or application crashes due to improper initialization of shared resources.
- Potential cascading effects include further vulnerabilities due to inconsistent state, which might be leveraged for more severe attacks.
- Business impact can involve system downtime, data integrity issues, and increased maintenance costs due to unreliable software behavior.
• Prevention Guidelines:
- Specific code-level fixes involve avoiding double-checked locking in languages like Java and using other synchronization methods that are guaranteed to work, such as volatile variables or synchronized blocks.
- Security best practices include adhering to proper synchronization techniques and understanding the memory model of the programming language in use.
- Recommended tools and frameworks involve using static analysis tools that can detect improper synchronization patterns and using concurrency libraries that provide safe initialization patterns.
Technical Details
Likelihood of Exploit: Not specified
Affected Languages: Java
Affected Technologies: Not specified
Vulnerable Code Example
// Vulnerable Singleton implementation using double-checked locking
public class Singleton {
private static Singleton instance;
// Double-checked locking pattern
public static Singleton getInstance() {
if (instance == null) { // First check (not synchronized)
synchronized (Singleton.class) {
if (instance == null) { // Second check (synchronized)
instance = new Singleton(); // Potentially unsafe publication
}
}
}
return instance;
}
private Singleton() {
// Constructor logic
}
}
Key Points:
- Double-Checked Locking Issue: The code uses the double-checked locking pattern to minimize the overhead of synchronized blocks.
- Unsafe Publication: The
instance
reference might be visible to other threads before the constructor has finished executing, leading to partially constructed objects. This is due to potential reordering of instructions by the Java Memory Model.
How to fix Double-Checked Locking?
To address this issue, we can use the volatile
keyword. The volatile
modifier ensures that the writes to a variable are visible to all threads and prevents the compiler from reordering the write to the instance
variable with the initialization of the Singleton
object.
Fixed Code Example
// Fixed Singleton implementation using volatile keyword
public class Singleton {
// Use volatile to ensure visibility of changes to instance across threads
private static volatile Singleton instance;
public static Singleton getInstance() {
if (instance == null) { // First check (not synchronized)
synchronized (Singleton.class) {
if (instance == null) { // Second check (synchronized)
instance = new Singleton(); // Safe publication
}
}
}
return instance;
}
private Singleton() {
// Constructor logic
}
}
Key Points:
- Volatile Keyword: The
volatile
keyword ensures that theinstance
variable is read directly from the main memory, preventing errors due to instruction reordering. - Safe Initialization: This approach safely implements double-checked locking in Java, ensuring that the
Singleton
instance is properly initialized before being accessed by multiple threads.
The use of volatile
is essential here as it guarantees that the write to instance
occurs before any subsequent read, hence preventing an improperly constructed object from being returned to other threads.