Serialization can extend the lifetime of objects, preventing their garbage collection. The ObjectOutputStream
ensures that each object is written to the stream only once by retaining a reference (or handle) to each object written to the stream. When a previously written object is subsequently written to the stream again, it is replaced with a reference to the originally written data in the stream. Note that this substitution takes place without regard to whether the object's contents have changed in the interim. This requires a table of references to be maintained to keep track of previously serialized objects. This table of references prevents garbage collection of the previously serialized objects because the garbage collector cannot collect live references.
This behavior is both desirable and correct for data that potentially contains arbitrary object graphs, especially when the graphs are fully allocated and constructed prior to serialization. However, it can lead to memory exhaustion when serializing data that both lacks references to other objects being serialized and can be allocated in part or in full after serialization has begun. One such example is serializing a data stream from an external sensor. In such cases, programs must take additional action to avoid memory exhaustion. That is, programs reading in independent serialized data must reset the table of references between reads to prevent memory exhaustion.
This rule is a specific instance of the more general rule MSC05-J. Do not assume infinite heap space.
Noncompliant Code Example
This noncompliant code example reads and serializes data from an external sensor. Each invocation of the readSensorData()
method returns a newly created SensorData
instance, each containing a megabyte of data. SensorData
instances are pure data streams, containing data and arrays but lacking references to other SensorData
objects.
As already described, the ObjectOutputStream
maintains a cache of previously written objects. Consequently, all SensorData
objects remain alive until the cache itself becomes garbage-collected. This can result in an OutOfMemoryError
because the stream remains open while new objects are being written to it.
class SensorData implements Serializable { // 1MB of data per instance! ... public static SensorData readSensorData() {...} public static boolean isAvailable() {...} } class SerializeSensorData { public static void main(String[] args) throws IOException { ObjectOutputStream out = null; try { out = new ObjectOutputStream( new BufferedOutputStream(new FileOutputStream("ser.dat"))); while (SensorData.isAvailable()) { // note that each SensorData object is 1MB in size SensorData sd = SensorData.readSensorData(); out.writeObject(sd); } } finally { if (out != null) { out.close(); } } } }
Compliant Solution
This compliant solution takes advantage of the known properties of the sensor data by resetting the output stream after each write. The reset clears the output stream's internal object cache; consequently, the cache no longer maintains references to previously written SensorData
objects. The garbage collector can collect SensorData
instances that are no longer needed.
class SerializeSensorData { public static void main(String[] args) throws IOException { ObjectOutputStream out = null; try { out = new ObjectOutputStream( new BufferedOutputStream(new FileOutputStream("ser.dat"))); while (SensorData.isAvailable()) { // note that each SensorData object is 1MB in size SensorData sd = SensorData.readSensorData(); out.writeObject(sd); out.reset(); // reset the stream } } finally { if (out != null) { out.close(); } } } }
Risk Assessment
Memory and resource leaks during serialization can result in a resource exhaustion attack or crash the JVM.
Rule |
Severity |
Likelihood |
Remediation Cost |
Priority |
Level |
---|---|---|---|---|---|
SER10-J |
low |
unlikely |
low |
P3 |
L3 |
Related Guidelines
CWE-400. Uncontrolled resource consumption (aka "resource exhaustion") |
|
|
CWE-770. Allocation of resources without limits or throttling |
Bibliography
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