According to the Java Language Specification [[JLS 05]], section, 8.3.1.4 volatile
Fields:
A field may be declared
volatile
, in which case the Java memory model (§17) ensures that all threads see a consistent value for the variable.
Notably, this applies only to fields and not to the contents of objects that are declared volatile
. A thread may not observe a recent write to the object's field from another thread.
Declaring an object volatile
in order to ensure visibility of the most up-to-date object state does not work without the use of explicit synchronization, unless the object is [effectively immutable].
In the absence of synchronization, the effect of declaring an object reference volatile
is that when one thread sets the object to a new value, other threads can see the new reference immediately. If the object is immutable, this has the effect that other threads also see a consistent view of the state of the object. However, if the object is mutable and so, modified by a thread, other threads may see a partially-modified object, or an object in a (temporarily) inconsistent state [[Goetz 07]]. Declaring the object volatile
does not prevent this issue.
Noncompliant Code Example (Arrays)
This noncompliant code example shows an array object (arrays are objects in Java) that is declared volatile
. It appears that when, a value is written by a thread to one of the array elements, it will be visible to other threads immediately. This is misleading because the volatile
keyword just makes the array reference visible to all threads and does not affect the actual data contained within the array.
volatile int[] arr = new int[20]; // ... arr[1] = 10;
It is possible for one thread to set a new value to arr[1]
while another thread attempts to read the value of arr[1]
, with the result that the reading thread receives an inconsistent value for arr[1]
.
Compliant Solution (AtomicIntegerArray
This compliant solution suggests using the java.util.concurrent.atomic.AtomicIntegerArray
concurrency utility. Using its set(index, value)
method ensures that the write is atomic and the resulting value is immediately visible to other threads. The other threads can retrieve a value from a specific index by using the get(index)
method.
AtomicIntegerArray aia = new AtomicIntegerArray(5); // ... aia.set(1, 10);
Noncompliant Code Example (Properties
object)
This noncompliant code example declares an instance field of type Properties
as volatile
. The field can be mutated using the put()
method.
class Foo { private volatile Properties properties; public Foo() { properties = new Properties(); // Load some useful values into properties } public String get(String s) { return properties.getProperty(s); } public void put(String key, String value) { // Perform validation of value properties.setProperty(key, value); } }
This class permits a race condition. If one thread calls get()
while another calls put()
, the first thread may receive a stale value, or an internally inconsistent value from the properties
object. Declaring the object volatile
does not prevent this data race.
Even if the client thread sees the new reference to properties
, the object state that it observes may change in the meantime.
The Java Memory Model does not guarantee that the properties
field will have been properly initialized when it is necessary. ==Let's not talk about initialization here==
Because the object is not immutable, it is unsafe for use in a multi-threaded environment.
Compliant Solution (immutable)
This compliant solution renders the Foo
class effectively immutable. Consequently, once it is properly constructed, no thread can modify properties
and cause a race condition.
class Foo { private Properties properties; public Foo() { properties = new Properties(); // Load some useful values into properties } public String get(String s) { return properties.getProperty(s); } }
The drawback of this solution is that the put()
method cannot be accommodated if the goal is to ensure immutability. The Foo
and Properties
classes are both effectively immutable. They are not truly [immutable] because the Properties
class is not final.
Compliant Solution (the cheap read-write lock trick)
This compliant solution uses explicit synchronization to ensure thread safety. It declares the object volatile
to guard retrievals that use the getter method. A synchronized setter method is used to set the value of the Properties
object.
public class Foo { private volatile Properties properties; public Foo() { properties = new Properties(); // Load some useful values into properties } public String get(String s) { return properties.getProperty(s); } public synchronized void put(String key, String value) { // Perform validation of value properties.setProperty(key, value); } }
This compliant solution has the advantage that it can accommodate the setter method. Declaring the object as volatile
for safe publication using getter methods is cheaper in terms of performance, than declaring the getters as synchronized
. However, synchronizing the setter methods is mandatory.
Risk Assessment
Failing to synchronize access to shared mutable data can cause different threads to observe different states of the object.
Rule |
Severity |
Likelihood |
Remediation Cost |
Priority |
Level |
---|---|---|---|---|---|
CON11-J |
medium |
probable |
medium |
P8 |
L2 |
Automated Detection
TODO
Related Vulnerabilities
Search for vulnerabilities resulting from the violation of this rule on the CERT website.
References
[[Goetz 07]] Pattern #2: "one-time safe publication"
[[JLS 05]]
[!The CERT Sun Microsystems Secure Coding Standard for Java^button_arrow_left.png!] [!The CERT Sun Microsystems Secure Coding Standard for Java^button_arrow_up.png!] [!The CERT Sun Microsystems Secure Coding Standard for Java^button_arrow_right.png!]