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Compound operations on shared variables (consisting of more than one discrete operation) must be performed atomically. Errors can arise from compound operations that need to be perceived atomically but are not \[[JLS 05|AA. Java References#JLS 05]\]. 

Compound assignment expressions include operators Compound operations are operations that consist of more than one discrete operation. Expressions that include postfix or prefix increment (++), postfix or prefix decrement (--), or compound assignment operators always result in compound operations. Compound assignment expressions use operators such as *=, /=, %=, +=, -=, <<=, >>=, >>>=, ^=, or and |=. The postfix and prefix increment (++) and decrement (--) operations can also be treated as compound expressions. [JLS 2015]. Compound operations on shared variables must be performed atomically to prevent data races and race conditions.

For information about the For atomicity of a grouping of calls to independently atomic methods of the existing Java APIthat belong to thread-safe classes, see CON07VNA03-J. Do not assume that a grouping group of calls to independently atomic methods is atomic.

The Java Language Specification also permits reads and writes of 64-bit values to be non-atomic though this is not an issue with most modern JVMs (see CON25rule VNA05-J. Ensure atomicity when reading and writing 64-bit values).

Noncompliant Code Example (

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Logical Negation)

This noncompliant code example declares a shared boolean flag variable flag and uses an optimization in the and provides a toggle() method to negate that negates the current value of the flag.:

final class FooFlag {
  private boolean flag = true;
 
  public void toggle() {  // unsafeUnsafe
    flag ^= true; // same as flag = !flag; 
  }

  public boolean getFlag() { // unsafe Unsafe
    return flag;
  }
}

However, Execution of this code is not thread-safe. Multiple threads may not observe the latest state of the flag because ^= constitutes a non-atomic operation.may result in a data race because the value of flag is read, negated, and written back.

Consider, for example, For example, consider two threads that call toggle(). Theoretically the The expected effect of toggling flag twice should restore is that it is restored to its original value. But However, the following scenario could occur, leaving leaves flag in the wrong incorrect state.:

As a result, the effect of the call by t_{1 2} is not reflected in flag; the program behaves as if the call was never made toggle() was called only once, not twice.

Noncompliant Code Example (

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Bitwise Negation)

The toggle() method may also use the compound assignment operator ^= to negate the current value of flag:

final class Flag {
  private boolean flag = true;

  public void toggle() {  // Unsafe
    flag ^= true;  // Same as flag = !flag;
  }

  public boolean getFlag() { // Unsafe
    return flag;
  }
}

This code is also not thread-safe. A data race exists because ^= is a non-atomic compound operation.

Noncompliant Code Example (Volatile)

Declaring flag volatile also fails to solve the problem:This noncompliant code example derives from the preceding one but declares the flag as volatile.

final class FooFlag {
  private volatile boolean flag = true;
 
  public void toggle() {  // unsafeUnsafe
    flag ^= true; 
  }

  public boolean getFlag() { // safeSafe
    return flag;
  }
}

It is still insecure This code remains unsuitable for multithreaded use because volatile does not declaring a variable volatile fails to guarantee the visibility of updates to the shared variable flag when a compound operation is performedatomicity of compound operations on the variable.

Compliant Solution (

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Synchronization)

This compliant solution synchronized the toggle() method to ensure that the flag is made visible to all the threadsdeclares both the toggle() and getFlag() methods as synchronized:

final class Flag {
  private boolean flag = true;

  public synchronized void toggle() {
    flag ^= true; // Same as flag = !flag;
  }

  public synchronized boolean getFlag() {
    return flag;
  }
}

This solution guards reads and writes to the flag field with a lock on the instance, that is, this. Furthermore, synchronization ensures that changes are visible to all threads. Now, only two execution orders are possible, one of which is shown in the following scenario:

The second execution order involves the same operations, but t₂ starts and finishes before t₁.
Compliance with LCK00-J. Use private final lock objects to synchronize classes that may interact with untrusted code can reduce the likelihood of misuse by ensuring that untrusted callers cannot access the lock object.

Compliant Solution (Volatile-Read, Synchronized-Write)

In this compliant solution, the getFlag() method is not synchronized, and flag is declared as volatile. This solution is compliant because the read of flag in the getFlag() method is an atomic operation and the volatile qualification assures visibility. The toggle() method still requires synchronization because it performs a non-atomic operation.

final class FooFlag {
  private volatile boolean flag = true;
 
  public synchronized void toggle() { 
    flag ^= true; // sameSame as flag = !flag; 
  }

  public boolean getFlag() { 
    return flag;
  }
}

Compliant Solution (java.util.concurrent.atomic.AtomicBoolean)

This approach must not be used for getter methods that perform any additional operations other than returning the value of a volatile field without use of synchronization. Unless read performance is critical, this technique may lack significant advantages over synchronization [Goetz 2006].

Compliant Solution (Read-Write Lock)

This compliant solution uses a read-write lock to ensure atomicity and visibility:

final class Flag {
  private boolean flag = true;
  private final ReadWriteLock lock = new ReentrantReadWriteLock();
  private final Lock readLock = lock.readLock();
  private final Lock writeLock = lock.writeLock();

  public void toggle() {
    writeLock.lock();
    try {
      flag ^= true; // Same as flag = !flag;
    } finally {
      writeLock.unlock();
    }
  }

  public boolean getFlag() {
    readLock.lock();
    try {
      return flag;
    } finally {
      readLock.unlock();
    }
  }
}

Read-write locks allow shared state to be accessed by multiple readers or a single writer but never both. According to Goetz [Goetz 2006]:

In practice, read-write locks can improve performance for frequently accessed read-mostly data structures on multiprocessor systems; under other conditions they perform slightly worse than exclusive locks due to their greater complexity.

Profiling the application can determine the suitability of read-write locks.

Compliant Solution (AtomicBoolean)

This compliant solution declares flag to be of type AtomicBoolean:This compliant solution uses the java.util.concurrent.atomic.AtomicBoolean type to declare the flag.

import java.util.concurrent.atomic.AtomicBoolean;

final class FooFlag {
  private AtomicBoolean flag = new AtomicBoolean(true);
 
  public void toggle() { 
    boolean temp;
    do {
      temp = flag.get();
    } while (!flag.compareAndSet(temp, !temp));
  }

  public AtomicBoolean getFlag() { 
    return flag;
  }
}

It ensures that updates to the variable are carried out by The flag variable is updated using the compareAndSet() method of the AtomicBoolean class AtomicBoolean. All updates are made visible to other threads.

Noncompliant Code Example (

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Addition of Primitives)

In this noncompliant code example, the two fields a and b may be set by multiple threads, using multiple threads can invoke the setValues() method to set the a and b fields. Because this class fails to test for integer overflow, users of the Adder class must ensure that the arguments to the setValues() method can be added without overflow (see NUM00-J. Detect or prevent integer overflow for more information).

final class Adder {
  private int a;
  private int b;

  public int getSum() {
    return a + b;
  }

  public void setValues(int a, int b) {
    this.a = a;
    this.b = b;
  }
}

The getSum() method may return a different sum every time it is invoked from different threads. For instance, if contains a race condition. For example, when a and b currently have the value 0, values 0 and Integer.MAX_VALUE, respectively, and one thread calls getSum() while another calls setValues(1, 1Integer.MAX_VALUE, 0), then the getSum() method might return either 0, 1, or 2. Of these, the value 1 is unacceptable; it is returned Integer.MAX_VALUE, or it might overflow. Overflow will occur when the first thread reads a and b, after the second thread has set the value of a to Integer.MAX_VALUE but before it has set the value of b to 0.

This code also does nothing to prevent arithmetic overflow. See INT00-J. Perform explicit range checking to ensure integer operations do not overflow for more informationNote that declaring the variables as volatile fails to resolve the issue because these compound operations involve reads and writes of multiple variables.

Noncompliant Code Example (

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Addition of Atomic Integers)

In this noncompliant code example, The issues described in the previous noncompliant code example can also arise even when the variables a and b are replaced with atomic integers. :

final class Adder {
  private final AtomicInteger a = new AtomicInteger();
  private final AtomicInteger b = new AtomicInteger();

  public int getSum() throws ArithmeticException {
    // Check for integer overflow
    if( b.get() > 0 ? a.get() > Integer.MAX_VALUE - b.get() : a.get() < Integer.MIN_VALUE - b.get() ) {
      throw new ArithmeticException("Not in range");
    }
    return a.get() + b.get(); // or, return a.getAndAdd(b.get());
  }

  public void setValues(int a, int b) {
    this.a.set(a);
    this.b.set(b);
  }
}

For example, when a thread is executing setValues() another may invoke getSum() and retrieve an incorrect result. Furthermore, in the absence of synchronization, there are data races in the check for integer overflow. For instance, a thread can call setValues() after a second thread has read a, but before it has read b in order to add them together; in which case, the second thread will get an improper addition. Even worse, a thread can call setValues() after a second thread has verified that overflow will not occur, but before the second thread reads the values to add. This would cause the second thread to add two values that have not been checked for overflow, and overflow when adding them.

...

The simple replacement of the two int fields with atomic integers fails to eliminate the race condition because the compound operation a.get() + b.get() is still non-atomic.

Compliant Solution (Addition)

This compliant solution synchronizes the setValues() and getSum() methods so that the entire operation is atomic.to ensure atomicity:

final class Adder {
  private int a;
  private int b;

  public synchronized int getSum() throws ArithmeticException {
    // Check for integer overflow
    if( b > 0 ? a > Integer.MAX_VALUE - b : a < Integer.MIN_VALUE - b ) {
      throw new ArithmeticException("Not in range");
    }

    return a + b;
  }

  public synchronized void setValues(int a, int b) {
    this.a = a;
    this.b = b;
  }
}

Unlike the noncompliant code example, if a and b currently have the value 0, and one thread calls getSum() while another calls setValues(1, 1), getSum() may return return 0, or 2, depending on which thread obtains the intrinsic lock first. The locking guarantees that getSum() will never return the unacceptable value 1The operations within the synchronized methods are now atomic with respect to other synchronized methods that lock on that object's monitor (that is, its intrinsic lock). It is now possible, for example, to add overflow checking to the synchronized getSum() method without introducing the possibility of a race condition.

Risk Assessment

If When operations on shared variables are not atomic, unexpected results may can be produced. For example, there information can be inadvertent information disclosure as disclosed inadvertently because one user may be able to can receive information about other users.

Automated Detection

TODO

Related Vulnerabilities

Search for vulnerabilities resulting from the violation of this rule on the CERT website.

References

\[[API 06|AA. Java References#API 06]\] Class AtomicInteger
\[[JLS 05|AA. Java References#JLS 05]\] [Chapter 17, Threads and Locks|http://java.sun.com/docs/books/jls/third_edition/html/memory.html], section 17.4.5 Happens-before Order, section 17.4.3 Programs and Program Order, section 17.4.8 Executions and Causality Requirements
\[[Tutorials 08|AA. Java References#Tutorials 08]\] [Java Concurrency Tutorial|http://java.sun.com/docs/books/tutorial/essential/concurrency/index.html]
\[[Lea 00|AA. Java References#Lea 00]\] Sections, 2.2.7 The Java Memory Model, 2.2.5 Deadlock, 2.1.1.1 Objects and locks
\[[Bloch 08|AA. Java References#Bloch 08]\] Item 66: Synchronize access to shared mutable data
\[[Daconta 03|AA. Java References#Daconta 03]\] Item 31: Instance Variables in Servlets
\[[JavaThreads 04|AA. Java References#JavaThreads 04]\] Section 5.2 Atomic Variables
\[[Goetz 06|AA. Java References#Goetz 06]\] 2.3. "Locking"
\[[MITRE 09|AA. Java References#MITRE 09]\] [CWE ID 667|http://cwe.mitre.org/data/definitions/667.html] "Insufficient Locking", [CWE ID 413|http://cwe.mitre.org/data/definitions/413.html] "Insufficient Resource Locking", [CWE ID 366|http://cwe.mitre.org/data/definitions/366.html] "Race Condition within a Thread", [CWE ID 567|http://cwe.mitre.org/data/definitions/567.html] "Unsynchronized Access to Shared Data"

Some available static analysis tools can detect the instances of non-atomic update of a concurrently shared value. The result of the update is determined by the interleaving of thread execution. These tools can detect the instances where thread-shared data is accessed without holding an appropriate lock, possibly causing a race condition.

Related Guidelines

Bibliography

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Image Added Image Added Image Added11. Concurrency (CON)      11. Concurrency (CON)      CON02-J. Always synchronize on the appropriate object