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According
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to
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the
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Java
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Language
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Specification
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, §8.3.1.4, "volatile
Fields" [JLS 2013],
A field may be declared
volatile
, in which case the Java Memory Model ensures that all threads see a consistent value for the variable (§17.4).
This safe publication guarantee applies only to primitive fields and object references. Programmers commonly use imprecise terminology and speak about "member objects." For the purposes of this visibility guarantee, the actual member is the object reference; the objects referred to (aka referents) by volatile object references are beyond the scope of the safe publication guarantee. Consequently, declaring an object reference to be volatile is insufficient to guarantee that changes to the members of the referent are published to other threads. A thread may fail to observe a recent write from another thread to a member field of such an object referent.
Furthermore, when the referent is mutable and lacks thread safety, other threads might see a partially constructed object or an object in a (temporarily) inconsistent state [Goetz 2007]. However, when the referent is immutable, declaring the reference volatile suffices to guarantee safe publication of the members of the referent. Programmers cannot use the volatile
keyword to guarantee safe publication of mutable objects. Use of the volatile
keyword can only guarantee safe publication of primitive fields, object references, or fields of immutable object referents.
Confusing a volatile object with the volatility of its member objects is a similar error to the one described in OBJ50-J. Never confuse the immutability of a reference with that of the referenced object.
Noncompliant Code Example (Arrays)
This noncompliant code example declares a volatile reference to an array object.
Code Block | ||
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| ||
final class Foo {
private volatile int[] arr = new int[20];
public int getFirst() {
return arr[0];
}
public void setFirst(int n) {
arr[0] = n;
}
// ...
}
|
Values assigned to an array element by one thread—for example, by calling setFirst()
—might not be visible to another thread calling getFirst()
because the volatile
keyword guarantees safe publication only for the array reference; it makes no guarantee regarding the actual data contained within the array.
This problem arises when the thread that calls setFirst()
and the thread that calls getFirst()
lack a happens-before relationship. A happens-before relationship exists between a thread that writes to a volatile variable and a thread that subsequently reads it. However, setFirst()
and getFirst()
read only from a volatile variable—the volatile reference to the array. Neither method writes to the volatile variable.
Compliant Solution (AtomicIntegerArray
)
To ensure that the writes to array elements are atomic and that the resulting values are visible to other threads, this compliant solution uses the AtomicIntegerArray
class defined in java.util.concurrent.atomic
.
Code Block | ||
---|---|---|
| ||
final class Foo {
private final AtomicIntegerArray atomicArray =
new AtomicIntegerArray(20);
public int getFirst() {
return atomicArray.get(0);
}
public void setFirst(int n) {
atomicArray.set(0, 10);
}
// ...
}
|
AtomicIntegerArray
guarantees a happens-before relationship between a thread that calls atomicArray.set()
and a thread that subsequently calls atomicArray.get()
.
Compliant Solution (Synchronization)
To ensure visibility, accessor methods may synchronize access while performing operations on nonvolatile elements of an array, whether the array is referred to by a volatile or a nonvolatile reference. Note that the code is thread-safe even though the array reference is not volatile.
Code Block | ||
---|---|---|
| ||
final class Foo {
private int[] arr = new int[20];
public synchronized int getFirst() {
return arr[0];
}
public synchronized void setFirst(int n) {
arr[0] = n;
}
}
|
Synchronization establishes a happens-before relationship between threads that synchronize on the same lock. In this case, the thread that calls setFirst()
and the thread that subsequently calls getFirst()
on the same object instance both synchronize on that instance, so safe publication is guaranteed.
Noncompliant Code Example (Mutable Object)
This noncompliant code example declares the Map
instance field volatile. The instance of the Map
object is mutable because of its put()
method.
Code Block | ||
---|---|---|
| ||
{{volatile}} Fields: {quote} 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. {quote} Notably, this applies only to primitive fields and immutable member objects. The visibility guarantee does not extend to mutable objects that are not thread-safe, even if their references are declared {{volatile}}. A thread may not observe a recent write from another thread to a member field of such an object. Declaring an object {{volatile}} to ensure visibility of its state does not work without the use of synchronization, unless the object is [immutable|BB. Definitions#immutable]. If the object is mutable and not thread-safe, other threads may see a partially-constructed object, or an object in a (temporarily) inconsistent state \[[Goetz 07|AA. Java References#Goetz 07]\]. Technically, the object does not have to be strictly immutable to be used safely. If it can be proved that the member objects is thread-safe by design, the field that will hold its reference may be declared as {{volatile}}. However, this approach to using volatile burdens maintainability and should be avoided. h2. Noncompliant Code Example (Arrays) This noncompliant code example shows an array object (arrays are objects in Java) that is declared {{volatile}}. {code:bgColor=#FFcccc} final class Foo { volatile private int[] arr = new int[20]; public int getFirst() { return arr[0]; } public void setFirst(int n) { arr[0] = n; } // ... } {code} The assumption that a value written to an array element by one thread is visible to other threads is incorrect because the {{volatile}} keyword only makes the array reference visible and does not affect the actual data contained within the array. For example, when a thread assigns a new value to {{arr\[1\]}} another thread that is attempting to read the value of {{arr\[1\]}} might observe a stale value. This happens because there is no [happens-before|BB. Definitions#happens-before order] relation between the thread that calls {{setFirst()}} and the thread that calls {{getFirst()}}. A [happens-before|BB. Definitions#happens-before order] relation exists between a thread that writes to a volatile variable and a thread that subsequently reads it. This code is neither writing to nor reading from a volatile variable. h2. Compliant Solution ({{AtomicIntegerArray}}) This compliant solution uses the {{java.util.concurrent.atomic.AtomicIntegerArray}} class. Its {{set(index, value)}} method ensures that the write is atomic and the resulting value is visible to other threads. The other threads can retrieve a value from a specific index by using the {{get(index)}} method. {code:bgColor=#ccccff} final class Foo { private finalvolatile AtomicIntegerArrayMap<String, atomicArray = new AtomicIntegerArray(20)String> map; public int getFirstFoo() { map = return atomicArray.get(0new HashMap<String, String>(); // Load some useful values into map } public voidString setFirstget(intString ns) { atomicArrayreturn map.set(0, 10get(s); } // ... } {code} The {{AtomicIntegerArray}} guarantees a [happens-before|BB. Definitions#happens-before order] relation between a thread that calls {{atomicArray.set()}} and a thread that subsequently calls {{atomicArray.get()}}. However, if a thread calls {{getFirst()}} first, it sees the default value of the atomic integer (0). h2. Compliant Solution (synchronization) To ensure visibility, accessor methods may synchronize access while performing operations on non-volatile elements of an array that is declared {{volatile}}. Note that the array reference need not be volatile for the code to be thread-safe. {code:bgColor=#ccccff} public void put(String key, String value) { // Validate the values before inserting if (!value.matches("[\\w]*")) { throw new IllegalArgumentException(); } map.put(key, value); } } |
Interleaved calls to get()
and put()
may result in the retrieval of internally inconsistent values from the Map
object because put()
modifies its state. Declaring the object reference volatile is insufficient to eliminate this data race.
Noncompliant Code Example (Volatile-Read, Synchronized-Write)
This noncompliant code example attempts to use the volatile-read, synchronized-write technique described in Java Theory and Practice [Goetz 2007]. The map
field is declared volatile to synchronize its reads and writes. The put()
method is also synchronized to ensure that its statements are executed atomically.
Code Block | ||
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final class Foo { private int[] arr = new int[20]; volatile Map<String, String> map; public synchronized int getFirstFoo() { return arr[1];map = new HashMap<String, String>(); // Load some useful values into map } public synchronizedString void setFirstget(intString ns) { arr[1] = nreturn map.get(s); } } {code} Synchronization establishes a [happens-before|BB. Definitions#happens-before order] relation between the thread that calls {{setFirst()}} and the thread that subsequently calls {{getFirst()}}. Consequently, the array element set by {{setFirst()}} is guaranteed to be visible to {{getFirst()}}. h2. Noncompliant Code Example (Mutable object) This noncompliant code example declares an instance field of type {{Properties}} as {{volatile}}. The instance of the {{Properties}} object can be mutated using the {{put()}} method. This makes objects of class {{Foo}} mutable. {code:bgColor=#FFcccc} final 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) { // Validate the values before inserting properties.setProperty(key, value); } } {code} If one thread calls {{get()}} while another calls {{put()}}, the first thread may receive a stale, or an internally inconsistent value from the {{Properties}} object because the operations within {{put()}} modify the state of the {{Properties}} object instance. Declaring the object {{volatile}} does not prevent this data race. There is no time of check, time of use (TOCTOU) vulnerability in {{put()}} despite the presence of the validation logic, because the validation is performed on the immutable {{value}} argument and not the shared {{Properties}} instance. h2. Compliant Solution (immutable) This compliant solution renders the class {{Foo}} immutable. Consequently, once it is properly constructed, no thread can modify the state of the {{Properties}} object instance and cause a data race. {code:bgColor=#ccccff} final class Foo { private final Properties properties; public Foo() { properties = new Properties(); // Load some useful values into properties } public String get(String s) { return properties.getProperty(s); } } {code} The {{Foo}} class is [immutable|BB. Definitions#immutable] because all its fields are {{final}} and the {{properties}} field is being safely published. The shortcoming of making {{Foo}} immutable is that the {{put()}} method can no longer be accommodated. When this is unacceptable, the {{get()}} and {{put()}} methods must use some form of synchronization to prevent data races. h2. Noncompliant Code Example (Volatile Read, Synchronized Write) This noncompliant code example attempts to use the cheap read-write lock trick {mc} can we rename this too? And still cite Goetz? {mc} \[[Goetz 07|AA. Java References#Goetz 07]\]. The {{properties}} field is declared as {{volatile}} to synchronize reads and writes of the field. The {{put()}} method is also synchronized to ensure that its statements are executed atomically. {code:bgColor=#ffcccc} final 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) { // Validate the values before inserting // ... properties.setProperty(key, value); } } {code} The volatile read, synchronized write technique uses synchronization to preserve atomicity of compound operations such as increment, and provides faster access times for atomic reads. However, it does not work with mutable objects, because the visibility of {{volatile}} does not extend to their members. Consequently, if one thread adds a property using {{put}}, other threads may not observe this change. There is no [happens-before relation|BB. Definitions#happens-before order] between the write and a subsequent read of the property. This technique is also discussed in [CON01-J. Ensure that compound operations on shared variables are atomic]. h2. Compliant Solution (synchronized) This compliant solution uses method synchronization to ensure thread safety. {code:bgColor=#ccccff} final class Foo { private final Properties properties; public Foo() { properties = new Properties(); // Load some useful values into properties } public synchronized String get(String s) { return properties.getProperty(s); } public synchronized void put(String key, String value) { // Validate the values before inserting properties.setProperty(key, value); } } {code} Note that the {{properties}} field is not declared {{volatile}} because this solution achieves thread-safety by using synchronization. The field is declared {{final}} so that its reference is not published when it is in a partially initialized state (see [CON26-J. Do not publish partially initialized objects] for more information). h2. Noncompliant Code Example (mutable sub-object) This noncompliant code example declares the field {{FORMAT}} as {{volatile}}. However, the field stores a reference to a mutable object, {{DateFormat}}. {code:bgColor=#FFcccc} final class DateHandler { private static volatile DateFormat FORMAT = DateFormat.getDateInstance(DateFormat.MEDIUM); public static Date parse(String str) throws ParseException { return FORMAT.parse(str); } } {code} In the presence of multiple threads, this results in subtle thread safety issues because {{DateFormat}} is not thread-safe \[[API 06|AA. Java References#API 06]\]. For instance, a thread might observe correctly formatted output for an arbitrary date when it invokes {{parse()}} with a known date. {mc} // Calls DateHandler, demo code public class DateCaller implements Runnable { public void run(){ try { System.out.println(DateHandler.parse("Jan 1, 2010")); } catch (ParseException e) { } public static void main(String[] args) { for(int i=0;i<10;i++) new Thread(new DateCaller()).start(); } } {mc} h2. Compliant Solution (instance per call/defensive copying) This compliant solution creates and returns a new {{DateFormat}} instance for every invocation of the {{parse()}} method. \[[API 06|AA. Java References#API 06]\] {code:bgColor=#ccccff} final class DateHandler { public static Date parse(String str) throws ParseException { DateFormat format = DateFormat.getDateInstance(DateFormat.MEDIUM); return format.parse(str); } } {code} This does not violate [OBJ11-J. Defensively copy private mutable class members before returning their references] because the class no longer contains internal mutable state, but only a local field, {{format}}. h2. Compliant Solution (synchronization) This compliant solution synchronizes statements within the {{parse()}} method and consequently, the class {{DateHandler}} is thread-safe \[[API 06|AA. Java References#API 06]\]. There is no requirement for declaring the {{FORMAT}} field as {{volatile}}. {code:bgColor=#ccccff} final class DateHandler { private static DateFormat FORMAT = DateFormat.getDateInstance(DateFormat.MEDIUM); public static Date parse(String str) throws ParseException { synchronized (FORMAT) { return FORMAT.parse(str); } } } {code} h2. Compliant Solution ({{ThreadLocal}} storage) This compliant solution uses a {{ThreadLocal}} object to store one {{DateFormat}} instance per thread. {code:bgColor=#ccccff} final class DateHandler { private static final ThreadLocal<DateFormat> df = new ThreadLocal<DateFormat>() { @Override protected DateFormat initialValue() { return DateFormat.getDateInstance(DateFormat.MEDIUM); } }; // ... } {code} h2. Risk Assessment Assuming that declaring a field {{volatile}} guarantees visibility of the members of the referenced object may cause threads to observe stale values of the members. || Rule || Severity || Likelihood || Remediation Cost || Priority || Level || | CON11-J | medium | probable | medium | {color:#cc9900}{*}P8{*}{color} | {color:#cc9900}{*}L2{*}{color} | h3. Automated Detection TODO h3. Related Vulnerabilities Search for vulnerabilities resulting from the violation of this rule on the [CERT website|https://www.kb.cert.org/vulnotes/bymetric?searchview&query=FIELD+KEYWORDS+contains+CON11-J]. h2. References \[[Goetz 07|AA. Java References#Goetz 07]\] Pattern #2: "one-time safe publication" \[[Miller 09|AA. Java References#Miller 09]\] Mutable Statics \[[API 06|AA. Java References#API 06]\] Class {{java.text.DateFormat}} \[[JLS 05|AA. Java References#JLS 05]\] ---- [!The CERT Sun Microsystems Secure Coding Standard for Java^button_arrow_left.png!|FIO36-J. Do not create multiple buffered wrappers on an InputStream] [!The CERT Sun Microsystems Secure Coding Standard for Java^button_arrow_up.png!|09. Input Output (FIO)] [!The CERT Sun Microsystems Secure Coding Standard for Java^button_arrow_right.png!|09. Input Output (FIO)] public synchronized void put(String key, String value) { // Validate the values before inserting if (!value.matches("[\\w]*")) { throw new IllegalArgumentException(); } map.put(key, value); } } |
The volatile-read, synchronized-write technique uses synchronization to preserve atomicity of compound operations, such as increment, and provides faster access times for atomic reads. However, it fails for mutable objects because the safe publication guarantee provided by volatile
extends only to the field itself (the primitive value or object reference); the referent is excluded from the guarantee, as are the referent's members. In effect, the write and a subsequent read of the map
lack a happens-before relationship.
This technique is also discussed in VNA02-J. Ensure that compound operations on shared variables are atomic.
Compliant Solution (Synchronized)
This compliant solution uses method synchronization to guarantee visibility:
Code Block | ||
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final class Foo {
private final Map<String, String> map;
public Foo() {
map = new HashMap<String, String>();
// Load some useful values into map
}
public synchronized String get(String s) {
return map.get(s);
}
public synchronized void put(String key, String value) {
// Validate the values before inserting
if (!value.matches("[\\w]*")) {
throw new IllegalArgumentException();
}
map.put(key, value);
}
}
|
It is unnecessary to declare the map
field volatile because the accessor methods are synchronized. The field is declared final
to prevent publication of its reference when the referent is in a partially initialized state (see TSM03-J. Do not publish partially initialized objects for more information).
Noncompliant Code Example (Mutable Subobject)
In this noncompliant code example, the volatile format
field stores a reference to a mutable object, java.text.DateFormat
:
Code Block | ||
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final class DateHandler {
private static volatile DateFormat format =
DateFormat.getDateInstance(DateFormat.MEDIUM);
public static java.util.Date parse(String str)
throws ParseException {
return format.parse(str);
}
}
|
Because DateFormat
is not thread-safe [API 2013], the value for Date
returned by the parse()
method may not correspond to the str
argument:
Compliant Solution (Instance per Call/Defensive Copying)
This compliant solution creates and returns a new DateFormat
instance for each invocation of the parse()
method [API 2013]:
Code Block | ||
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final class DateHandler {
public static java.util.Date parse(String str)
throws ParseException {
return DateFormat.getDateInstance(
DateFormat.MEDIUM).parse(str);
}
}
|
Compliant Solution (Synchronization)
This compliant solution makes DateHandler
thread-safe by synchronizing statements within the parse()
method [API 2013]:
Code Block | ||
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final class DateHandler {
private static DateFormat format =
DateFormat.getDateInstance(DateFormat.MEDIUM);
public static java.util.Date parse(String str)
throws ParseException {
synchronized (format) {
return format.parse(str);
}
}
}
|
Compliant Solution (ThreadLocal
Storage)
This compliant solution uses a ThreadLocal
object to create a separate DateFormat
instance per thread:
Code Block | ||
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final class DateHandler {
private static final ThreadLocal<DateFormat> format =
new ThreadLocal<DateFormat>() {
@Override protected DateFormat initialValue() {
return DateFormat.getDateInstance(DateFormat.MEDIUM);
}
};
// ...
}
|
Applicability
Incorrectly assuming that declaring a field volatile guarantees safe publication of a referenced object's members can cause threads to observe stale or inconsistent values.
Technically, strict immutability of the referent is a stronger condition than is fundamentally required for safe publication. When it can be determined that a referent is thread-safe by design, the field that holds its reference may be declared volatile. However, this approach to using volatile
decreases maintainability and should be avoided.
Bibliography
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