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Java'€™s garbage-collection feature provides significant benefits from a security perspective over non-garbage-collected languages such as C and C++. The garbage collector (GC) is designed to automatically reclaim unreachable memory and to avoid memory leaks. Although the GC is quite adept at performing this task, a malicious attacker can nevertheless launch a denial-of-service (DoS) attack against the GC, such as by inducing abnormal heap memory allocation or abnormally prolonged object retention. For example, some versions of the GC could need to halt all executing threads to keep up with incoming allocation requests that trigger increased heap management activity. System throughput rapidly diminishes in this scenario.

Real-time systems, in particular, are vulnerable to a more subtle slow-heap-exhaustion DoS attack, perpetrated by stealing CPU cycles. An attacker can perform memory allocations in a way that increases the consumption of resources (such as CPU, battery power, and memory) without triggering an OutOfMemoryError. Writing garbage-collection-friendly collection–friendly code helps restrict many attack avenues.

Use Short-Lived Immutable Objects

Since Beginning with JDK 1.2, the generational GC has reduced memory allocation costs to low levels, in many cases to levels lower than in C or C++. Generational garbage collection reduces garbage-collection costs by grouping objects into generations. The younger generation consists of short-lived objects. The GC performs a minor collection on the younger generation when it fills up with dead objects [Oracle 2010a]. Improved garbage-collection algorithms have reduced the cost of garbage collection so that it is proportional to the number of live objects in the younger generation rather than to the number of objects allocated since the last garbage collection.

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With generational GCs, use of short-lived immutable objects is generally more efficient than use of long-lived mutable objects, such as object pools. Avoiding object pools improves the GC's efficiency. Object pools bring additional costs and risks: they can create synchronization problems and can require explicit management of deallocations, possibly creating problems with dangling pointers. Further, determining the correct amount of memory to reserve for an object pool can be difficult, especially for mission-critical code. Use of long-lived mutable objects remains appropriate when allocation of objects is particularly expensive (for example, when performing multiple joins across databases). Similarly, object pools are an appropriate design choice when the objects represent scarce resources, such as thread pools and database connections.OBJ05-J. Defensively copy private mutable class members before returning their references and OBJ06-J. Defensively copy mutable inputs and mutable internal components promote garbage-collection-friendly code.

Avoid Large Objects

The allocation of large objects is expensive, in part because the cost to initialize their fields is proportional to their size. Additionally, frequent allocation of large objects of different sizes can cause fragmentation issues or compacting collect operations.

Do Not Explicitly Invoke the Garbage Collector

The GC can be explicitly invoked by calling the System.gc() method. Even though the documentation says that it "runs the garbage collector,"€ there is no guarantee as to when or whether the GC will actually run. In fact, the call only merely suggests that the GC should subsequently execute; the JVM is free to ignore this suggestion.

Irresponsible use of this feature can severely degrade system performance by triggering garbage collection at inopportune moments rather than waiting until ripe periods when it is safe to garbage-collect without significant interruption of the program'€™s execution.

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The Apache Geronimo and Tomcat vulnerability GERONIMO-4574, reported in March 2009, resulted from PolicyContext handler data objects being set in a thread and never released, causing these data objects to remain in memory longer than necessary.

Bibliography

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